diff options
| author | Johannes Ranke <jranke@uni-bremen.de> | 2019-04-10 10:17:35 +0200 |
|---|---|---|
| committer | Johannes Ranke <jranke@uni-bremen.de> | 2019-04-10 10:17:35 +0200 |
| commit | 194659fcaccdd1ee37851725b8c72e99daa3a8cf (patch) | |
| tree | edbbebe8956000b9eb725ca425b91e051571ec02 | |
| parent | 5814be02f286ce96d6cff8d698aea6844e4025f1 (diff) | |
Adapt tests, vignettes and examples
- Write the NEWS
- Static documentation rebuilt by pkgdown
- Adapt mkinerrmin
- Fix (hopefully all) remaining problems in mkinfit
139 files changed, 6813 insertions, 2333 deletions
diff --git a/DESCRIPTION b/DESCRIPTION index 527d79d1..ba8e8035 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,8 +1,8 @@ Package: mkin Type: Package Title: Kinetic Evaluation of Chemical Degradation Data -Version: 0.9.49.1 -Date: 2019-04-04 +Version: 0.9.49.4 +Date: 2019-04-09 Authors@R: c(person("Johannes", "Ranke", role = c("aut", "cre", "cph"), email = "jranke@uni-bremen.de", comment = c(ORCID = "0000-0003-4371-6538")), @@ -19,7 +19,8 @@ Description: Calculation routines based on the FOCUS Kinetics Report (2006, purpose. Imports: stats, graphics, methods, deSolve, R6, inline, parallel, plyr, numDeriv -Suggests: knitr, rbenchmark, tikzDevice, testthat, rmarkdown, covr, vdiffr +Suggests: knitr, rbenchmark, tikzDevice, testthat, rmarkdown, covr, vdiffr, + benchmarkme, tibble License: GPL LazyLoad: yes LazyData: yes @@ -1,3 +1,20 @@ +# mkin 0.9.49.4 (2019-04-09) +- Direct minimization of the negative log-likelihood for non-constant error models (two-component and variance by variable). In the case the error model is constant variance, least squares is used as this is more stable + +- The argument 'reweight.method' to mkinfit and mmkin is now obsolete, use 'error_model' instead + +- Remove dependency on FME, only use nlminb for optimisation + +- Use the numDeriv package to calculate hessians + +- Add a benchmark vignette to document the impact on performance. For very simple fits, the new code is a bit slower, presumably because of the time it takes to calculate the hessian matrices with and without parameter transformation + +- The code for manual weighting was removed + +- The fitting time reported in the summary now includes the calculation of the hessians + +- Adapt tests + # mkin 0.9.48.1 (2019-03-04) - Add the function 'logLik.mkinfit' which makes it possible to calculate an AIC for mkinfit objects diff --git a/R/mkinerrmin.R b/R/mkinerrmin.R index b361c466..c0c6fad7 100644 --- a/R/mkinerrmin.R +++ b/R/mkinerrmin.R @@ -42,7 +42,7 @@ mkinerrmin <- function(fit, alpha = 0.05) fixed_initials = gsub("_0$", "", rownames(subset(fit$fixed, type = "state"))) errdata <- subset(errdata, !(time == 0 & name %in% fixed_initials)) - n.optim.overall <- length(parms.optim) + n.optim.overall <- length(parms.optim) - length(fit$errparms) errmin.overall <- kinerrmin(errdata, n.optim.overall) errmin <- data.frame(err.min = errmin.overall$err.min, diff --git a/R/mkinfit.R b/R/mkinfit.R index 6c12d027..55b57aa6 100644 --- a/R/mkinfit.R +++ b/R/mkinfit.R @@ -1,9 +1,6 @@ # Copyright (C) 2010-2019 Johannes Ranke
# Portions of this code are copyright (C) 2013 Eurofins Regulatory AG
# Contact: jranke@uni-bremen.de
-# The summary function is an adapted and extended version of summary.modFit
-# from the FME package, v 1.1 by Soetart and Petzoldt, which was in turn
-# inspired by summary.nls.lm
# This file is part of the R package mkin
@@ -33,9 +30,9 @@ mkinfit <- function(mkinmod, observed, control = list(eval.max = 300, iter.max = 200),
transform_rates = TRUE,
transform_fractions = TRUE,
- plot = FALSE, quiet = FALSE,
+ quiet = FALSE,
atol = 1e-8, rtol = 1e-10, n.outtimes = 100,
- error_model = c("const", "obs", "tc", "obs_tc"),
+ error_model = c("const", "obs", "tc"),
trace_parms = FALSE,
...)
{
@@ -243,23 +240,12 @@ mkinfit <- function(mkinmod, observed, }
}
- # Get the error model and specify starting values as well as fixed components
+ # Get the error model
err_mod <- match.arg(error_model)
- if (err_mod == "const") {
- errparms = c(sigma = 1)
- }
- if (err_mod == "obs") {
- errparms <- rep(1, length(obs_vars))
- names(errparms) = paste0("sigma_", obs_vars)
- }
- if (err_mod == "tc") {
- errparms <- c(sigma_low = 0.5, rsd_high = 0.07)
- }
- if (err_mod == "obs_tc") {
- errparms <- rep(1, length(obs_vars))
- names(errparms) = paste0("sigma_", obs_vars)
- errparms <- c(errparms, a = 0.1)
- }
+ errparm_names <- switch(err_mod,
+ "const" = "sigma",
+ "obs" = paste0("sigma_", obs_vars),
+ "tc" = c("sigma_low", "rsd_high"))
# Define outtimes for model solution.
# Include time points at which observed data are available
@@ -268,9 +254,9 @@ mkinfit <- function(mkinmod, observed, length.out = n.outtimes))))
# Define log-likelihood function for optimisation, including (back)transformations
- nlogLik <- function(P, trans = TRUE)
+ nlogLik <- function(P, trans = TRUE, OLS = FALSE, update_data = TRUE, ...)
{
- assign("calls", calls+1, inherits=TRUE) # Increase the model solution counter
+ assign("calls", calls + 1, inherits = TRUE) # Increase the model solution counter
# Trace parameter values if requested
if(trace_parms) cat(P, "\n")
@@ -284,7 +270,11 @@ mkinfit <- function(mkinmod, observed, names(odeini) <- state.ini.fixed.boxnames
}
- odeparms.optim <- P[(length(state.ini.optim) + 1):(length(P) - length(errparms))]
+ if (OLS) {
+ odeparms.optim <- P[(length(state.ini.optim) + 1):length(P)]
+ } else {
+ odeparms.optim <- P[(length(state.ini.optim) + 1):(length(P) - length(errparms))]
+ }
if (trans == TRUE) {
odeparms <- c(odeparms.optim, transparms.fixed)
@@ -305,8 +295,6 @@ mkinfit <- function(mkinmod, observed, out_long <- mkin_wide_to_long(out, time = "time")
- assign("out_predicted", out_long, inherits=TRUE)
-
if (err_mod == "const") {
observed$std <- P["sigma"]
}
@@ -320,19 +308,22 @@ mkinfit <- function(mkinmod, observed, tmp <- tmp[order(tmp$name, tmp$time), ]
observed$std <- sqrt(P["sigma_low"]^2 + tmp$value.y^2 * P["rsd_high"]^2)
}
- if (err_mod == "obs_tc") {
- tmp <- merge(observed, out_long, by = c("time", "name"))
- tmp$name <- ordered(tmp$name, levels = obs_vars)
- tmp <- tmp[order(tmp$name, tmp$time), ]
- std_names <- paste0("sigma_", observed$name)
- observed$std <- sqrt(P[std_names] * (1 + P["a"] * tmp$value.y^2))
- }
data_log_lik <- merge(observed[c("name", "time", "value", "std")], out_long,
- by = c("name", "time"))
+ by = c("name", "time"), suffixes = c(".observed", ".predicted"))
+
+ if (OLS) {
+ nlogLik <- with(data_log_lik, sum((value.observed - value.predicted)^2))
+ } else {
+ nlogLik <- - with(data_log_lik,
+ sum(dnorm(x = value.observed, mean = value.predicted, sd = std, log = TRUE)))
+ }
- nlogLik <- - with(data_log_lik,
- sum(dnorm(x = value.x, mean = value.y, sd = std, log = TRUE)))
+ # We need the data at optimised parameters
+ if (update_data) {
+ assign("out_predicted", out_long, inherits = TRUE)
+ assign("data_errmod", data_log_lik, inherits = TRUE)
+ }
if (nlogLik < nlogLik.current) {
assign("nlogLik.current", nlogLik, inherits = TRUE)
@@ -341,10 +332,10 @@ mkinfit <- function(mkinmod, observed, return(nlogLik)
}
- n_optim <- length(c(state.ini.optim, transparms.optim, errparms))
+ n_optim <- length(c(state.ini.optim, transparms.optim, errparm_names))
names_optim <- c(names(state.ini.optim),
names(transparms.optim),
- names(errparms))
+ errparm_names)
# Define lower and upper bounds other than -Inf and Inf for parameters
# for which no internal transformation is requested in the call to mkinfit
@@ -353,7 +344,7 @@ mkinfit <- function(mkinmod, observed, upper <- rep(Inf, n_optim)
names(lower) <- names(upper) <- names_optim
- # IORE exponentes are not transformed, but need a lower bound of zero
+ # IORE exponents are not transformed, but need a lower bound
index_N <- grep("^N", names(lower))
lower[index_N] <- 0
@@ -386,24 +377,66 @@ mkinfit <- function(mkinmod, observed, lower["sigma_low"] <- 0
lower["rsd_high"] <- 0
}
- if (err_mod == "obs_tc") {
- index_sigma <- grep("^sigma_", names(lower))
- lower[index_sigma] <- 0
- lower["a"] <- 0
- }
# Counter for likelihood evaluations
calls = 0
nlogLik.current <- Inf
+ out_predicted <- NA
+ data_errmod <- NA
# Show parameter names if tracing is requested
if(trace_parms) cat(names_optim, "\n")
- # Do the fit and take the time
+ # Do the fit and take the time until the hessians are calculated
fit_time <- system.time({
- fit <- nlminb(c(state.ini.optim, transparms.optim, errparms),
- nlogLik, control = control,
- lower = lower, upper = upper, ...)})
+ # For constant variance, we do not include sigma in the optimisation, as it
+ # is unnecessary and leads to instability of the fit which are most obvious
+ # when fitting the IORE model
+ if (err_mod == "const") {
+ fit.ols <- nlminb(c(state.ini.optim, transparms.optim),
+ nlogLik, control = control,
+ lower = lower, upper = upper, OLS = TRUE, ...)
+
+ # Get the maximum likelihood estimate for sigma at the optimum parameter values
+ # This is equivalent to including sigma in the optimisation, but more stable
+ data_errmod$residual <- data_errmod$value.observed - data_errmod$value.predicted
+ sigma_mle = sqrt(sum(data_errmod$residual^2)/nrow(data_errmod))
+
+ errparms = c(sigma = sigma_mle)
+ fit <- fit.ols
+ fit$logLik <- - nlogLik(c(fit$par, sigma = sigma_mle), OLS = FALSE)
+ } else {
+ if (err_mod == "obs") {
+ errparms = rep(3, length(obs_vars))
+ }
+ if (err_mod == "tc") {
+ errparms <- c(sigma_low = 0.5, rsd_high = 0.07)
+ }
+ names(errparms) <- errparm_names
+
+ fit <- nlminb(c(state.ini.optim, transparms.optim, errparms),
+ nlogLik, control = control,
+ lower = lower, upper = upper, ...)
+ fit$logLik <- - nlogLik.current
+ }
+
+ # We include the error model in the parameter uncertainty analysis, also
+ # for constant variance, to get a confidence interval for it
+ if (err_mod == "const") {
+ fit$par <- c(fit$par, sigma = sigma_mle)
+ }
+ fit$hessian <- try(hessian(nlogLik, fit$par, update_data = FALSE), silent = TRUE)
+
+ # Backtransform parameters
+ bparms.optim = backtransform_odeparms(fit$par, mkinmod,
+ transform_rates = transform_rates,
+ transform_fractions = transform_fractions)
+ bparms.fixed = c(state.ini.fixed, parms.fixed)
+ bparms.all = c(bparms.optim, parms.fixed)
+
+ fit$hessian_notrans <- try(hessian(nlogLik, c(bparms.optim, fit$par[names(errparms)]),
+ trans = FALSE, update_data = FALSE), silent = TRUE)
+ })
if (fit$convergence != 0) {
fit$warning = paste0("Optimisation did not converge:\n", fit$message)
@@ -411,7 +444,6 @@ mkinfit <- function(mkinmod, observed, } else {
if(!quiet) cat("Optimisation successfully terminated.\n")
}
- fit$logLik <- - nlogLik.current
# We need to return some more data for summary and plotting
fit$solution_type <- solution_type
@@ -429,19 +461,9 @@ mkinfit <- function(mkinmod, observed, fit$obs_vars <- obs_vars
fit$predicted <- out_predicted
- # Backtransform parameters
- bparms.optim = backtransform_odeparms(fit$par, fit$mkinmod,
- transform_rates = transform_rates,
- transform_fractions = transform_fractions)
- bparms.fixed = c(state.ini.fixed, parms.fixed)
- bparms.all = c(bparms.optim, parms.fixed)
-
# Attach the negative log-likelihood function for post-hoc parameter uncertainty analysis
fit$nlogLik <- nlogLik
- fit$hessian <- hessian(nlogLik, fit$par)
- fit$hessian_notrans <- hessian(nlogLik, c(bparms.optim, fit$par[names(errparms)]), trans = FALSE)
-
# Collect initial parameter values in three dataframes
fit$start <- data.frame(value = c(state.ini.optim,
parms.optim, errparms))
@@ -458,15 +480,15 @@ mkinfit <- function(mkinmod, observed, fit$fixed$type = c(rep("state", length(state.ini.fixed)),
rep("deparm", length(parms.fixed)))
- # Collect observed, predicted, residuals and weighting
- data <- merge(fit$observed, fit$predicted, by = c("time", "name"))
- data$name <- ordered(data$name, levels = obs_vars)
- data <- data[order(data$name, data$time), ]
+ # Sort observed, predicted and residuals
+ data_errmod$name <- ordered(data_errmod$name, levels = obs_vars)
+
+ data <- data_errmod[order(data_errmod$name, data_errmod$time), ]
fit$data <- data.frame(time = data$time,
variable = data$name,
- observed = data$value.x,
- predicted = data$value.y)
+ observed = data$value.observed,
+ predicted = data$value.predicted)
fit$data$residual <- fit$data$observed - fit$data$predicted
@@ -42,8 +42,8 @@ nafta <- function(ds, title = NA, quiet = FALSE, ...) { # Compare the sum of squared residuals (SSR) to the upper bound of the # confidence region of the SSR for the IORE model - result$S <- sapply(result$mmkin, function(x) x$ssr) - names(result$S) <- models + result$S <- sapply(result$mmkin, function(x) sum(x$data$residual^2)) + names(result$S) <- c("SFO", "IORE", "DFOP") # Equation (3) on p. 3 p <- 3 result$S["IORE"] @@ -1 +1,10 @@ * checking for file ‘./DESCRIPTION’ ... OK +* preparing ‘mkin’: +* checking DESCRIPTION meta-information ... OK +* installing the package to build vignettes +* creating vignettes ... OK +* checking for LF line-endings in source and make files and shell scripts +* checking for empty or unneeded directories +* looking to see if a ‘data/datalist’ file should be added +* building ‘mkin_0.9.49.4.tar.gz’ + diff --git a/docs/articles/FOCUS_D.html b/docs/articles/FOCUS_D.html index 376acee2..e63feb07 100644 --- a/docs/articles/FOCUS_D.html +++ b/docs/articles/FOCUS_D.html @@ -30,7 +30,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -88,7 +88,7 @@ <h1>Example evaluation of FOCUS Example Dataset D</h1> <h4 class="author">Johannes Ranke</h4> - <h4 class="date">2019-03-04</h4> + <h4 class="date">2019-04-10</h4> <div class="hidden name"><code>FOCUS_D.Rmd</code></div> @@ -156,18 +156,20 @@ ## "d_m1 = + k_parent_m1 * parent - k_m1_sink * m1"</code></pre> <p>We do the fitting without progress report (<code>quiet = TRUE</code>).</p> <div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb7-1" title="1">fit <-<span class="st"> </span><span class="kw"><a href="../reference/mkinfit.html">mkinfit</a></span>(SFO_SFO, FOCUS_<span class="dv">2006</span>_D, <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a></code></pre></div> +<pre><code>## Warning in mkinfit(SFO_SFO, FOCUS_2006_D, quiet = TRUE): Observations with +## value of zero were removed from the data</code></pre> <p>A plot of the fit including a residual plot for both observed variables is obtained using the <code>plot_sep</code> method for <code>mkinfit</code> objects, which shows separate graphs for all compounds and their residuals.</p> -<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb8-1" title="1"><span class="kw"><a href="../reference/plot.mkinfit.html">plot_sep</a></span>(fit, <span class="dt">lpos =</span> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="st">"topright"</span>, <span class="st">"bottomright"</span>))</a></code></pre></div> +<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb9-1" title="1"><span class="kw"><a href="../reference/plot.mkinfit.html">plot_sep</a></span>(fit, <span class="dt">lpos =</span> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="st">"topright"</span>, <span class="st">"bottomright"</span>))</a></code></pre></div> <p><img src="FOCUS_D_files/figure-html/plot-1.png" width="768"></p> <p>Confidence intervals for the parameter estimates are obtained using the <code>mkinparplot</code> function.</p> -<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb9-1" title="1"><span class="kw"><a href="../reference/mkinparplot.html">mkinparplot</a></span>(fit)</a></code></pre></div> +<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb10-1" title="1"><span class="kw"><a href="../reference/mkinparplot.html">mkinparplot</a></span>(fit)</a></code></pre></div> <p><img src="FOCUS_D_files/figure-html/plot_2-1.png" width="768"></p> <p>A comprehensive report of the results is obtained using the <code>summary</code> method for <code>mkinfit</code> objects.</p> -<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb10-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(fit)</a></code></pre></div> -<pre><code>## mkin version used for fitting: 0.9.48.1 -## R version used for fitting: 3.5.2 -## Date of fit: Mon Mar 4 14:06:39 2019 -## Date of summary: Mon Mar 4 14:06:39 2019 +<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb11-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(fit)</a></code></pre></div> +<pre><code>## mkin version used for fitting: 0.9.49.4 +## R version used for fitting: 3.5.3 +## Date of fit: Wed Apr 10 10:11:31 2019 +## Date of summary: Wed Apr 10 10:11:31 2019 ## ## Equations: ## d_parent/dt = - k_parent_sink * parent - k_parent_m1 * parent @@ -175,16 +177,18 @@ ## ## Model predictions using solution type deSolve ## -## Fitted with method Port using 153 model solutions performed in 0.693 s +## Fitted with method using 396 model solutions performed in 1.048 s ## -## Weighting: none +## Error model: +## NULL ## ## Starting values for parameters to be optimised: -## value type -## parent_0 100.7500 state -## k_parent_sink 0.1000 deparm -## k_parent_m1 0.1001 deparm -## k_m1_sink 0.1002 deparm +## value type +## parent_0 100.750000 state +## k_parent_sink 0.100000 deparm +## k_parent_m1 0.100100 deparm +## k_m1_sink 0.100200 deparm +## sigma 3.125504 error ## ## Starting values for the transformed parameters actually optimised: ## value lower upper @@ -192,6 +196,7 @@ ## log_k_parent_sink -2.302585 -Inf Inf ## log_k_parent_m1 -2.301586 -Inf Inf ## log_k_m1_sink -2.300587 -Inf Inf +## sigma 3.125504 0 Inf ## ## Fixed parameter values: ## value type @@ -199,29 +204,36 @@ ## ## Optimised, transformed parameters with symmetric confidence intervals: ## Estimate Std. Error Lower Upper -## parent_0 99.600 1.61400 96.330 102.900 -## log_k_parent_sink -3.038 0.07826 -3.197 -2.879 -## log_k_parent_m1 -2.980 0.04124 -3.064 -2.897 -## log_k_m1_sink -5.248 0.13610 -5.523 -4.972 +## parent_0 99.600 1.57000 96.400 102.800 +## log_k_parent_sink -3.038 0.07626 -3.193 -2.883 +## log_k_parent_m1 -2.980 0.04033 -3.062 -2.898 +## log_k_m1_sink -5.248 0.13320 -5.518 -4.977 +## sigma 3.126 0.35850 2.396 3.855 ## ## Parameter correlation: -## parent_0 log_k_parent_sink log_k_parent_m1 log_k_m1_sink -## parent_0 1.00000 0.6075 -0.06625 -0.1701 -## log_k_parent_sink 0.60752 1.0000 -0.08740 -0.6253 -## log_k_parent_m1 -0.06625 -0.0874 1.00000 0.4716 -## log_k_m1_sink -0.17006 -0.6253 0.47164 1.0000 -## -## Residual standard error: 3.211 on 36 degrees of freedom +## parent_0 log_k_parent_sink log_k_parent_m1 +## parent_0 1.000e+00 6.067e-01 -6.372e-02 +## log_k_parent_sink 6.067e-01 1.000e+00 -8.550e-02 +## log_k_parent_m1 -6.372e-02 -8.550e-02 1.000e+00 +## log_k_m1_sink -1.688e-01 -6.252e-01 4.731e-01 +## sigma -3.368e-07 3.365e-08 8.420e-07 +## log_k_m1_sink sigma +## parent_0 -1.688e-01 -3.368e-07 +## log_k_parent_sink -6.252e-01 3.365e-08 +## log_k_parent_m1 4.731e-01 8.420e-07 +## log_k_m1_sink 1.000e+00 1.958e-08 +## sigma 1.958e-08 1.000e+00 ## ## Backtransformed parameters: ## Confidence intervals for internally transformed parameters are asymmetric. ## t-test (unrealistically) based on the assumption of normal distribution ## for estimators of untransformed parameters. ## Estimate t value Pr(>t) Lower Upper -## parent_0 99.600000 61.720 2.024e-38 96.330000 1.029e+02 -## k_parent_sink 0.047920 12.780 3.050e-15 0.040890 5.616e-02 -## k_parent_m1 0.050780 24.250 3.407e-24 0.046700 5.521e-02 -## k_m1_sink 0.005261 7.349 5.758e-09 0.003992 6.933e-03 +## parent_0 99.600000 63.430 2.298e-36 96.400000 1.028e+02 +## k_parent_sink 0.047920 13.110 6.126e-15 0.041030 5.596e-02 +## k_parent_m1 0.050780 24.800 3.269e-23 0.046780 5.512e-02 +## k_m1_sink 0.005261 7.510 6.165e-09 0.004012 6.898e-03 +## sigma 3.126000 8.718 2.235e-10 2.396000 3.855e+00 ## ## Chi2 error levels in percent: ## err.min n.optim df @@ -246,10 +258,10 @@ ## 0 parent 102.04 99.59848 2.442e+00 ## 1 parent 93.50 90.23787 3.262e+00 ## 1 parent 92.50 90.23787 2.262e+00 -## 3 parent 63.23 74.07320 -1.084e+01 -## 3 parent 68.99 74.07320 -5.083e+00 -## 7 parent 52.32 49.91207 2.408e+00 -## 7 parent 55.13 49.91207 5.218e+00 +## 3 parent 63.23 74.07319 -1.084e+01 +## 3 parent 68.99 74.07319 -5.083e+00 +## 7 parent 52.32 49.91206 2.408e+00 +## 7 parent 55.13 49.91206 5.218e+00 ## 14 parent 27.27 25.01257 2.257e+00 ## 14 parent 26.64 25.01257 1.627e+00 ## 21 parent 11.50 12.53462 -1.035e+00 @@ -259,23 +271,21 @@ ## 50 parent 0.69 0.71624 -2.624e-02 ## 50 parent 0.63 0.71624 -8.624e-02 ## 75 parent 0.05 0.06074 -1.074e-02 -## 75 parent 0.06 0.06074 -7.382e-04 -## 0 m1 0.00 0.00000 0.000e+00 -## 0 m1 0.00 0.00000 0.000e+00 +## 75 parent 0.06 0.06074 -7.381e-04 ## 1 m1 4.84 4.80296 3.704e-02 ## 1 m1 5.64 4.80296 8.370e-01 ## 3 m1 12.91 13.02400 -1.140e-01 ## 3 m1 12.96 13.02400 -6.400e-02 ## 7 m1 22.97 25.04476 -2.075e+00 ## 7 m1 24.47 25.04476 -5.748e-01 -## 14 m1 41.69 36.69002 5.000e+00 -## 14 m1 33.21 36.69002 -3.480e+00 +## 14 m1 41.69 36.69003 5.000e+00 +## 14 m1 33.21 36.69003 -3.480e+00 ## 21 m1 44.37 41.65310 2.717e+00 ## 21 m1 46.44 41.65310 4.787e+00 ## 35 m1 41.22 43.31312 -2.093e+00 ## 35 m1 37.95 43.31312 -5.363e+00 -## 50 m1 41.19 41.21831 -2.831e-02 -## 50 m1 40.01 41.21831 -1.208e+00 +## 50 m1 41.19 41.21832 -2.832e-02 +## 50 m1 40.01 41.21832 -1.208e+00 ## 75 m1 40.09 36.44704 3.643e+00 ## 75 m1 33.85 36.44704 -2.597e+00 ## 100 m1 31.04 31.98163 -9.416e-01 diff --git a/docs/articles/FOCUS_D_files/figure-html/plot-1.png b/docs/articles/FOCUS_D_files/figure-html/plot-1.png Binary files differindex c0fab72d..b8f2fe94 100644 --- a/docs/articles/FOCUS_D_files/figure-html/plot-1.png +++ b/docs/articles/FOCUS_D_files/figure-html/plot-1.png diff --git a/docs/articles/FOCUS_D_files/figure-html/plot_2-1.png b/docs/articles/FOCUS_D_files/figure-html/plot_2-1.png Binary files differindex 47916477..79ec3aaf 100644 --- a/docs/articles/FOCUS_D_files/figure-html/plot_2-1.png +++ b/docs/articles/FOCUS_D_files/figure-html/plot_2-1.png diff --git a/docs/articles/FOCUS_L.html b/docs/articles/FOCUS_L.html index 5dac9999..8af99f6c 100644 --- a/docs/articles/FOCUS_L.html +++ b/docs/articles/FOCUS_L.html @@ -30,7 +30,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -88,7 +88,7 @@ <h1>Example evaluation of FOCUS Laboratory Data L1 to L3</h1> <h4 class="author">Johannes Ranke</h4> - <h4 class="date">2019-03-04</h4> + <h4 class="date">2019-04-10</h4> <div class="hidden name"><code>FOCUS_L.Rmd</code></div> @@ -112,52 +112,56 @@ <p>Since mkin version 0.9-32 (July 2014), we can use shorthand notation like <code>"SFO"</code> for parent only degradation models. The following two lines fit the model and produce the summary report of the model fit. This covers the numerical analysis given in the FOCUS report.</p> <div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb2-1" title="1">m.L1.SFO <-<span class="st"> </span><span class="kw"><a href="../reference/mkinfit.html">mkinfit</a></span>(<span class="st">"SFO"</span>, FOCUS_<span class="dv">2006</span>_L1_mkin, <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a> <a class="sourceLine" id="cb2-2" title="2"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(m.L1.SFO)</a></code></pre></div> -<pre><code>## mkin version used for fitting: 0.9.48.1 -## R version used for fitting: 3.5.2 -## Date of fit: Mon Mar 4 14:06:41 2019 -## Date of summary: Mon Mar 4 14:06:41 2019 +<pre><code>## mkin version used for fitting: 0.9.49.4 +## R version used for fitting: 3.5.3 +## Date of fit: Wed Apr 10 10:11:33 2019 +## Date of summary: Wed Apr 10 10:11:33 2019 ## ## Equations: ## d_parent/dt = - k_parent_sink * parent ## ## Model predictions using solution type analytical ## -## Fitted with method Port using 37 model solutions performed in 0.095 s +## Fitted with method using 133 model solutions performed in 0.344 s ## -## Weighting: none +## Error model: +## NULL ## ## Starting values for parameters to be optimised: -## value type -## parent_0 89.85 state -## k_parent_sink 0.10 deparm +## value type +## parent_0 89.850000 state +## k_parent_sink 0.100000 deparm +## sigma 2.779827 error ## ## Starting values for the transformed parameters actually optimised: ## value lower upper ## parent_0 89.850000 -Inf Inf ## log_k_parent_sink -2.302585 -Inf Inf +## sigma 2.779827 0 Inf ## ## Fixed parameter values: ## None ## ## Optimised, transformed parameters with symmetric confidence intervals: ## Estimate Std. Error Lower Upper -## parent_0 92.470 1.36800 89.570 95.370 -## log_k_parent_sink -2.347 0.04057 -2.433 -2.261 +## parent_0 92.470 1.28200 89.740 95.200 +## log_k_parent_sink -2.347 0.03763 -2.428 -2.267 +## sigma 2.780 0.46330 1.792 3.767 ## ## Parameter correlation: -## parent_0 log_k_parent_sink -## parent_0 1.0000 0.6248 -## log_k_parent_sink 0.6248 1.0000 -## -## Residual standard error: 2.948 on 16 degrees of freedom +## parent_0 log_k_parent_sink sigma +## parent_0 1.000e+00 6.186e-01 -1.712e-09 +## log_k_parent_sink 6.186e-01 1.000e+00 -3.237e-09 +## sigma -1.712e-09 -3.237e-09 1.000e+00 ## ## Backtransformed parameters: ## Confidence intervals for internally transformed parameters are asymmetric. ## t-test (unrealistically) based on the assumption of normal distribution ## for estimators of untransformed parameters. ## Estimate t value Pr(>t) Lower Upper -## parent_0 92.47000 67.58 2.170e-21 89.57000 95.3700 -## k_parent_sink 0.09561 24.65 1.867e-14 0.08773 0.1042 +## parent_0 92.47000 72.13 8.824e-21 89.74000 95.2000 +## k_parent_sink 0.09561 26.57 2.487e-14 0.08824 0.1036 +## sigma 2.78000 6.00 1.216e-05 1.79200 3.7670 ## ## Chi2 error levels in percent: ## err.min n.optim df @@ -199,61 +203,76 @@ <div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb5-1" title="1"><span class="kw"><a href="../reference/mkinresplot.html">mkinresplot</a></span>(m.L1.SFO, <span class="dt">ylab =</span> <span class="st">"Observed"</span>, <span class="dt">xlab =</span> <span class="st">"Time"</span>)</a></code></pre></div> <p><img src="FOCUS_L_files/figure-html/unnamed-chunk-5-1.png" width="576"></p> <p>For comparison, the FOMC model is fitted as well, and the <span class="math inline">\(\chi^2\)</span> error level is checked.</p> -<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb6-1" title="1">m.L1.FOMC <-<span class="st"> </span><span class="kw"><a href="../reference/mkinfit.html">mkinfit</a></span>(<span class="st">"FOMC"</span>, FOCUS_<span class="dv">2006</span>_L1_mkin, <span class="dt">quiet=</span><span class="ot">TRUE</span>)</a> -<a class="sourceLine" id="cb6-2" title="2"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(m.L1.FOMC, <span class="dt">show_errmin =</span> <span class="ot">TRUE</span>, <span class="dt">main =</span> <span class="st">"FOCUS L1 - FOMC"</span>)</a></code></pre></div> +<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb6-1" title="1">m.L1.FOMC <-<span class="st"> </span><span class="kw"><a href="../reference/mkinfit.html">mkinfit</a></span>(<span class="st">"FOMC"</span>, FOCUS_<span class="dv">2006</span>_L1_mkin, <span class="dt">quiet=</span><span class="ot">TRUE</span>)</a></code></pre></div> +<pre><code>## Warning in mkinfit("FOMC", FOCUS_2006_L1_mkin, quiet = TRUE): Optimisation did not converge: +## false convergence (8)</code></pre> +<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb8-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(m.L1.FOMC, <span class="dt">show_errmin =</span> <span class="ot">TRUE</span>, <span class="dt">main =</span> <span class="st">"FOCUS L1 - FOMC"</span>)</a></code></pre></div> <p><img src="FOCUS_L_files/figure-html/unnamed-chunk-6-1.png" width="576"></p> -<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb7-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(m.L1.FOMC, <span class="dt">data =</span> <span class="ot">FALSE</span>)</a></code></pre></div> -<pre><code>## mkin version used for fitting: 0.9.48.1 -## R version used for fitting: 3.5.2 -## Date of fit: Mon Mar 4 14:06:43 2019 -## Date of summary: Mon Mar 4 14:06:43 2019 +<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb9-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(m.L1.FOMC, <span class="dt">data =</span> <span class="ot">FALSE</span>)</a></code></pre></div> +<pre><code>## Warning in sqrt(diag(covar)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in sqrt(1/diag(V)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in cov2cor(ans$cov.unscaled): diag(.) had 0 or NA entries; non- +## finite result is doubtful</code></pre> +<pre><code>## mkin version used for fitting: 0.9.49.4 +## R version used for fitting: 3.5.3 +## Date of fit: Wed Apr 10 10:11:34 2019 +## Date of summary: Wed Apr 10 10:11:34 2019 +## +## +## Warning: Optimisation did not converge: +## false convergence (8) +## ## ## Equations: ## d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent ## ## Model predictions using solution type analytical ## -## Fitted with method Port using 611 model solutions performed in 1.502 s +## Fitted with method using 344 model solutions performed in 0.778 s ## -## Weighting: none +## Error model: +## NULL ## ## Starting values for parameters to be optimised: -## value type -## parent_0 89.85 state -## alpha 1.00 deparm -## beta 10.00 deparm +## value type +## parent_0 89.85000 state +## alpha 1.00000 deparm +## beta 10.00000 deparm +## sigma 2.77987 error ## ## Starting values for the transformed parameters actually optimised: ## value lower upper ## parent_0 89.850000 -Inf Inf ## log_alpha 0.000000 -Inf Inf ## log_beta 2.302585 -Inf Inf +## sigma 2.779870 0 Inf ## ## Fixed parameter values: ## None ## ## Optimised, transformed parameters with symmetric confidence intervals: -## Estimate Std. Error Lower Upper -## parent_0 92.47 1.482 89.31 95.63 -## log_alpha 11.25 598.200 -1264.00 1286.00 -## log_beta 13.60 598.200 -1261.00 1289.00 +## Estimate Std. Error Lower Upper +## parent_0 92.47 1.2810 89.720 95.220 +## log_alpha 10.60 NaN NaN NaN +## log_beta 12.95 NaN NaN NaN +## sigma 2.78 0.4554 1.803 3.757 ## ## Parameter correlation: -## parent_0 log_alpha log_beta -## parent_0 1.0000 -0.3016 -0.3016 -## log_alpha -0.3016 1.0000 1.0000 -## log_beta -0.3016 1.0000 1.0000 -## -## Residual standard error: 3.045 on 15 degrees of freedom +## parent_0 log_alpha log_beta sigma +## parent_0 1.000000 NaN NaN 0.008714 +## log_alpha NaN 1 NaN NaN +## log_beta NaN NaN 1 NaN +## sigma 0.008714 NaN NaN 1.000000 ## ## Backtransformed parameters: ## Confidence intervals for internally transformed parameters are asymmetric. ## t-test (unrealistically) based on the assumption of normal distribution ## for estimators of untransformed parameters. -## Estimate t value Pr(>t) Lower Upper -## parent_0 92.47 64.45000 4.757e-20 89.31 95.63 -## alpha 76830.00 0.02852 4.888e-01 0.00 Inf -## beta 803500.00 0.02852 4.888e-01 0.00 Inf +## Estimate t value Pr(>t) Lower Upper +## parent_0 92.47 72.13000 1.052e-19 89.720 95.220 +## alpha 40090.00 0.02388 4.906e-01 NA NA +## beta 419300.00 0.02388 4.906e-01 NA NA +## sigma 2.78 6.00000 1.628e-05 1.803 3.757 ## ## Chi2 error levels in percent: ## err.min n.optim df @@ -262,7 +281,7 @@ ## ## Estimated disappearance times: ## DT50 DT90 DT50back -## parent 7.249 24.08 7.249</code></pre> +## parent 7.249 24.08 7.25</code></pre> <p>We get a warning that the default optimisation algorithm <code>Port</code> did not converge, which is an indication that the model is overparameterised, <em>i.e.</em> contains too many parameters that are ill-defined as a consequence.</p> <p>And in fact, due to the higher number of parameters, and the lower number of degrees of freedom of the fit, the <span class="math inline">\(\chi^2\)</span> error level is actually higher for the FOMC model (3.6%) than for the SFO model (3.4%). Additionally, the parameters <code>log_alpha</code> and <code>log_beta</code> internally fitted in the model have excessive confidence intervals, that span more than 25 orders of magnitude (!) when backtransformed to the scale of <code>alpha</code> and <code>beta</code>. Also, the t-test for significant difference from zero does not indicate such a significant difference, with p-values greater than 0.1, and finally, the parameter correlation of <code>log_alpha</code> and <code>log_beta</code> is 1.000, clearly indicating that the model is overparameterised.</p> <p>The <span class="math inline">\(\chi^2\)</span> error levels reported in Appendix 3 and Appendix 7 to the FOCUS kinetics report are rounded to integer percentages and partly deviate by one percentage point from the results calculated by mkin. The reason for this is not known. However, mkin gives the same <span class="math inline">\(\chi^2\)</span> error levels as the kinfit package and the calculation routines of the kinfit package have been extensively compared to the results obtained by the KinGUI software, as documented in the kinfit package vignette. KinGUI was the first widely used standard package in this field. Also, the calculation of <span class="math inline">\(\chi^2\)</span> error levels was compared with KinGUII, CAKE and DegKin manager in a project sponsored by the German Umweltbundesamt <span class="citation">(Ranke 2014)</span>.</p> @@ -271,19 +290,19 @@ <h1 class="hasAnchor"> <a href="#laboratory-data-l2" class="anchor"></a>Laboratory Data L2</h1> <p>The following code defines example dataset L2 from the FOCUS kinetics report, p. 287:</p> -<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb9-1" title="1">FOCUS_<span class="dv">2006</span>_L2 =<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/data.frame">data.frame</a></span>(</a> -<a class="sourceLine" id="cb9-2" title="2"> <span class="dt">t =</span> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/rep">rep</a></span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="dv">0</span>, <span class="dv">1</span>, <span class="dv">3</span>, <span class="dv">7</span>, <span class="dv">14</span>, <span class="dv">28</span>), <span class="dt">each =</span> <span class="dv">2</span>),</a> -<a class="sourceLine" id="cb9-3" title="3"> <span class="dt">parent =</span> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="fl">96.1</span>, <span class="fl">91.8</span>, <span class="fl">41.4</span>, <span class="fl">38.7</span>,</a> -<a class="sourceLine" id="cb9-4" title="4"> <span class="fl">19.3</span>, <span class="fl">22.3</span>, <span class="fl">4.6</span>, <span class="fl">4.6</span>,</a> -<a class="sourceLine" id="cb9-5" title="5"> <span class="fl">2.6</span>, <span class="fl">1.2</span>, <span class="fl">0.3</span>, <span class="fl">0.6</span>))</a> -<a class="sourceLine" id="cb9-6" title="6">FOCUS_<span class="dv">2006</span>_L2_mkin <-<span class="st"> </span><span class="kw"><a href="../reference/mkin_wide_to_long.html">mkin_wide_to_long</a></span>(FOCUS_<span class="dv">2006</span>_L2)</a></code></pre></div> +<div class="sourceCode" id="cb14"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb14-1" title="1">FOCUS_<span class="dv">2006</span>_L2 =<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/data.frame">data.frame</a></span>(</a> +<a class="sourceLine" id="cb14-2" title="2"> <span class="dt">t =</span> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/rep">rep</a></span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="dv">0</span>, <span class="dv">1</span>, <span class="dv">3</span>, <span class="dv">7</span>, <span class="dv">14</span>, <span class="dv">28</span>), <span class="dt">each =</span> <span class="dv">2</span>),</a> +<a class="sourceLine" id="cb14-3" title="3"> <span class="dt">parent =</span> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="fl">96.1</span>, <span class="fl">91.8</span>, <span class="fl">41.4</span>, <span class="fl">38.7</span>,</a> +<a class="sourceLine" id="cb14-4" title="4"> <span class="fl">19.3</span>, <span class="fl">22.3</span>, <span class="fl">4.6</span>, <span class="fl">4.6</span>,</a> +<a class="sourceLine" id="cb14-5" title="5"> <span class="fl">2.6</span>, <span class="fl">1.2</span>, <span class="fl">0.3</span>, <span class="fl">0.6</span>))</a> +<a class="sourceLine" id="cb14-6" title="6">FOCUS_<span class="dv">2006</span>_L2_mkin <-<span class="st"> </span><span class="kw"><a href="../reference/mkin_wide_to_long.html">mkin_wide_to_long</a></span>(FOCUS_<span class="dv">2006</span>_L2)</a></code></pre></div> <div id="sfo-fit-for-l2" class="section level2"> <h2 class="hasAnchor"> <a href="#sfo-fit-for-l2" class="anchor"></a>SFO fit for L2</h2> <p>Again, the SFO model is fitted and the result is plotted. The residual plot can be obtained simply by adding the argument <code>show_residuals</code> to the plot command.</p> -<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb10-1" title="1">m.L2.SFO <-<span class="st"> </span><span class="kw"><a href="../reference/mkinfit.html">mkinfit</a></span>(<span class="st">"SFO"</span>, FOCUS_<span class="dv">2006</span>_L2_mkin, <span class="dt">quiet=</span><span class="ot">TRUE</span>)</a> -<a class="sourceLine" id="cb10-2" title="2"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(m.L2.SFO, <span class="dt">show_residuals =</span> <span class="ot">TRUE</span>, <span class="dt">show_errmin =</span> <span class="ot">TRUE</span>,</a> -<a class="sourceLine" id="cb10-3" title="3"> <span class="dt">main =</span> <span class="st">"FOCUS L2 - SFO"</span>)</a></code></pre></div> +<div class="sourceCode" id="cb15"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb15-1" title="1">m.L2.SFO <-<span class="st"> </span><span class="kw"><a href="../reference/mkinfit.html">mkinfit</a></span>(<span class="st">"SFO"</span>, FOCUS_<span class="dv">2006</span>_L2_mkin, <span class="dt">quiet=</span><span class="ot">TRUE</span>)</a> +<a class="sourceLine" id="cb15-2" title="2"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(m.L2.SFO, <span class="dt">show_residuals =</span> <span class="ot">TRUE</span>, <span class="dt">show_errmin =</span> <span class="ot">TRUE</span>,</a> +<a class="sourceLine" id="cb15-3" title="3"> <span class="dt">main =</span> <span class="st">"FOCUS L2 - SFO"</span>)</a></code></pre></div> <p><img src="FOCUS_L_files/figure-html/unnamed-chunk-8-1.png" width="672"></p> <p>The <span class="math inline">\(\chi^2\)</span> error level of 14% suggests that the model does not fit very well. This is also obvious from the plots of the fit, in which we have included the residual plot.</p> <p>In the FOCUS kinetics report, it is stated that there is no apparent systematic error observed from the residual plot up to the measured DT90 (approximately at day 5), and there is an underestimation beyond that point.</p> @@ -293,62 +312,66 @@ <h2 class="hasAnchor"> <a href="#fomc-fit-for-l2" class="anchor"></a>FOMC fit for L2</h2> <p>For comparison, the FOMC model is fitted as well, and the <span class="math inline">\(\chi^2\)</span> error level is checked.</p> -<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb11-1" title="1">m.L2.FOMC <-<span class="st"> </span><span class="kw"><a href="../reference/mkinfit.html">mkinfit</a></span>(<span class="st">"FOMC"</span>, FOCUS_<span class="dv">2006</span>_L2_mkin, <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a> -<a class="sourceLine" id="cb11-2" title="2"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(m.L2.FOMC, <span class="dt">show_residuals =</span> <span class="ot">TRUE</span>,</a> -<a class="sourceLine" id="cb11-3" title="3"> <span class="dt">main =</span> <span class="st">"FOCUS L2 - FOMC"</span>)</a></code></pre></div> +<div class="sourceCode" id="cb16"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb16-1" title="1">m.L2.FOMC <-<span class="st"> </span><span class="kw"><a href="../reference/mkinfit.html">mkinfit</a></span>(<span class="st">"FOMC"</span>, FOCUS_<span class="dv">2006</span>_L2_mkin, <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a> +<a class="sourceLine" id="cb16-2" title="2"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(m.L2.FOMC, <span class="dt">show_residuals =</span> <span class="ot">TRUE</span>,</a> +<a class="sourceLine" id="cb16-3" title="3"> <span class="dt">main =</span> <span class="st">"FOCUS L2 - FOMC"</span>)</a></code></pre></div> <p><img src="FOCUS_L_files/figure-html/unnamed-chunk-9-1.png" width="672"></p> -<div class="sourceCode" id="cb12"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb12-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(m.L2.FOMC, <span class="dt">data =</span> <span class="ot">FALSE</span>)</a></code></pre></div> -<pre><code>## mkin version used for fitting: 0.9.48.1 -## R version used for fitting: 3.5.2 -## Date of fit: Mon Mar 4 14:06:43 2019 -## Date of summary: Mon Mar 4 14:06:43 2019 +<div class="sourceCode" id="cb17"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb17-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(m.L2.FOMC, <span class="dt">data =</span> <span class="ot">FALSE</span>)</a></code></pre></div> +<pre><code>## mkin version used for fitting: 0.9.49.4 +## R version used for fitting: 3.5.3 +## Date of fit: Wed Apr 10 10:11:35 2019 +## Date of summary: Wed Apr 10 10:11:35 2019 ## ## Equations: ## d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent ## ## Model predictions using solution type analytical ## -## Fitted with method Port using 81 model solutions performed in 0.196 s +## Fitted with method using 240 model solutions performed in 0.564 s ## -## Weighting: none +## Error model: +## NULL ## ## Starting values for parameters to be optimised: -## value type -## parent_0 93.95 state -## alpha 1.00 deparm -## beta 10.00 deparm +## value type +## parent_0 93.950000 state +## alpha 1.000000 deparm +## beta 10.000000 deparm +## sigma 2.275722 error ## ## Starting values for the transformed parameters actually optimised: ## value lower upper ## parent_0 93.950000 -Inf Inf ## log_alpha 0.000000 -Inf Inf ## log_beta 2.302585 -Inf Inf +## sigma 2.275722 0 Inf ## ## Fixed parameter values: ## None ## ## Optimised, transformed parameters with symmetric confidence intervals: -## Estimate Std. Error Lower Upper -## parent_0 93.7700 1.8560 89.5700 97.9700 -## log_alpha 0.3180 0.1867 -0.1044 0.7405 -## log_beta 0.2102 0.2943 -0.4555 0.8759 +## Estimate Std. Error Lower Upper +## parent_0 93.7700 1.6130 90.05000 97.4900 +## log_alpha 0.3180 0.1559 -0.04149 0.6776 +## log_beta 0.2102 0.2493 -0.36460 0.7850 +## sigma 2.2760 0.4645 1.20500 3.3470 ## ## Parameter correlation: -## parent_0 log_alpha log_beta -## parent_0 1.00000 -0.09553 -0.1863 -## log_alpha -0.09553 1.00000 0.9757 -## log_beta -0.18628 0.97567 1.0000 -## -## Residual standard error: 2.628 on 9 degrees of freedom +## parent_0 log_alpha log_beta sigma +## parent_0 1.000e+00 -1.151e-01 -2.085e-01 1.606e-08 +## log_alpha -1.151e-01 1.000e+00 9.741e-01 -1.168e-07 +## log_beta -2.085e-01 9.741e-01 1.000e+00 -1.029e-07 +## sigma 1.606e-08 -1.168e-07 -1.029e-07 1.000e+00 ## ## Backtransformed parameters: ## Confidence intervals for internally transformed parameters are asymmetric. ## t-test (unrealistically) based on the assumption of normal distribution ## for estimators of untransformed parameters. ## Estimate t value Pr(>t) Lower Upper -## parent_0 93.770 50.510 1.173e-12 89.5700 97.970 -## alpha 1.374 5.355 2.296e-04 0.9009 2.097 -## beta 1.234 3.398 3.949e-03 0.6341 2.401 +## parent_0 93.770 58.120 4.267e-12 90.0500 97.490 +## alpha 1.374 6.414 1.030e-04 0.9594 1.969 +## beta 1.234 4.012 1.942e-03 0.6945 2.192 +## sigma 2.276 4.899 5.977e-04 1.2050 3.347 ## ## Chi2 error levels in percent: ## err.min n.optim df @@ -364,17 +387,15 @@ <h2 class="hasAnchor"> <a href="#dfop-fit-for-l2" class="anchor"></a>DFOP fit for L2</h2> <p>Fitting the four parameter DFOP model further reduces the <span class="math inline">\(\chi^2\)</span> error level.</p> -<div class="sourceCode" id="cb14"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb14-1" title="1">m.L2.DFOP <-<span class="st"> </span><span class="kw"><a href="../reference/mkinfit.html">mkinfit</a></span>(<span class="st">"DFOP"</span>, FOCUS_<span class="dv">2006</span>_L2_mkin, <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a> -<a class="sourceLine" id="cb14-2" title="2"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(m.L2.DFOP, <span class="dt">show_residuals =</span> <span class="ot">TRUE</span>, <span class="dt">show_errmin =</span> <span class="ot">TRUE</span>,</a> -<a class="sourceLine" id="cb14-3" title="3"> <span class="dt">main =</span> <span class="st">"FOCUS L2 - DFOP"</span>)</a></code></pre></div> +<div class="sourceCode" id="cb19"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb19-1" title="1">m.L2.DFOP <-<span class="st"> </span><span class="kw"><a href="../reference/mkinfit.html">mkinfit</a></span>(<span class="st">"DFOP"</span>, FOCUS_<span class="dv">2006</span>_L2_mkin, <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a> +<a class="sourceLine" id="cb19-2" title="2"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(m.L2.DFOP, <span class="dt">show_residuals =</span> <span class="ot">TRUE</span>, <span class="dt">show_errmin =</span> <span class="ot">TRUE</span>,</a> +<a class="sourceLine" id="cb19-3" title="3"> <span class="dt">main =</span> <span class="st">"FOCUS L2 - DFOP"</span>)</a></code></pre></div> <p><img src="FOCUS_L_files/figure-html/unnamed-chunk-10-1.png" width="672"></p> -<div class="sourceCode" id="cb15"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb15-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(m.L2.DFOP, <span class="dt">data =</span> <span class="ot">FALSE</span>)</a></code></pre></div> -<pre><code>## Warning in summary.mkinfit(m.L2.DFOP, data = FALSE): Could not estimate -## covariance matrix; singular system.</code></pre> -<pre><code>## mkin version used for fitting: 0.9.48.1 -## R version used for fitting: 3.5.2 -## Date of fit: Mon Mar 4 14:06:44 2019 -## Date of summary: Mon Mar 4 14:06:44 2019 +<div class="sourceCode" id="cb20"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb20-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(m.L2.DFOP, <span class="dt">data =</span> <span class="ot">FALSE</span>)</a></code></pre></div> +<pre><code>## mkin version used for fitting: 0.9.49.4 +## R version used for fitting: 3.5.3 +## Date of fit: Wed Apr 10 10:11:37 2019 +## Date of summary: Wed Apr 10 10:11:37 2019 ## ## Equations: ## d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * @@ -383,16 +404,18 @@ ## ## Model predictions using solution type analytical ## -## Fitted with method Port using 336 model solutions performed in 0.84 s +## Fitted with method using 585 model solutions performed in 1.296 s ## -## Weighting: none +## Error model: +## NULL ## ## Starting values for parameters to be optimised: -## value type -## parent_0 93.95 state -## k1 0.10 deparm -## k2 0.01 deparm -## g 0.50 deparm +## value type +## parent_0 93.950000 state +## k1 0.100000 deparm +## k2 0.010000 deparm +## g 0.500000 deparm +## sigma 1.413899 error ## ## Starting values for the transformed parameters actually optimised: ## value lower upper @@ -400,30 +423,37 @@ ## log_k1 -2.302585 -Inf Inf ## log_k2 -4.605170 -Inf Inf ## g_ilr 0.000000 -Inf Inf +## sigma 1.413899 0 Inf ## ## Fixed parameter values: ## None ## ## Optimised, transformed parameters with symmetric confidence intervals: -## Estimate Std. Error Lower Upper -## parent_0 93.9500 NA NA NA -## log_k1 3.1370 NA NA NA -## log_k2 -1.0880 NA NA NA -## g_ilr -0.2821 NA NA NA +## Estimate Std. Error Lower Upper +## parent_0 93.9500 9.998e-01 91.5900 96.3100 +## log_k1 3.1350 2.336e+03 -5522.0000 5528.0000 +## log_k2 -1.0880 6.285e-02 -1.2370 -0.9394 +## g_ilr -0.2821 7.033e-02 -0.4484 -0.1158 +## sigma 1.4140 2.886e-01 0.7314 2.0960 ## ## Parameter correlation: -## Could not estimate covariance matrix; singular system. -## Residual standard error: 1.732 on 8 degrees of freedom +## parent_0 log_k1 log_k2 g_ilr sigma +## parent_0 1.000e+00 5.247e-07 -1.026e-10 2.665e-01 -8.076e-11 +## log_k1 5.247e-07 1.000e+00 8.592e-05 -1.690e-04 -7.938e-06 +## log_k2 -1.026e-10 8.592e-05 1.000e+00 -7.903e-01 5.048e-10 +## g_ilr 2.665e-01 -1.690e-04 -7.903e-01 1.000e+00 -6.476e-10 +## sigma -8.076e-11 -7.938e-06 5.048e-10 -6.476e-10 1.000e+00 ## ## Backtransformed parameters: ## Confidence intervals for internally transformed parameters are asymmetric. ## t-test (unrealistically) based on the assumption of normal distribution ## for estimators of untransformed parameters. -## Estimate t value Pr(>t) Lower Upper -## parent_0 93.9500 NA NA NA NA -## k1 23.0400 NA NA NA NA -## k2 0.3369 NA NA NA NA -## g 0.4016 NA NA NA NA +## Estimate t value Pr(>t) Lower Upper +## parent_0 93.9500 9.397e+01 2.036e-12 91.5900 96.3100 +## k1 23.0000 4.377e-04 4.998e-01 0.0000 Inf +## k2 0.3369 1.591e+01 4.697e-07 0.2904 0.3909 +## g 0.4016 1.680e+01 3.238e-07 0.3466 0.4591 +## sigma 1.4140 4.899e+00 8.776e-04 0.7314 2.0960 ## ## Chi2 error levels in percent: ## err.min n.optim df @@ -432,7 +462,7 @@ ## ## Estimated disappearance times: ## DT50 DT90 DT50_k1 DT50_k2 -## parent 0.5335 5.311 0.03009 2.058</code></pre> +## parent 0.5335 5.311 0.03014 2.058</code></pre> <p>Here, the DFOP model is clearly the best-fit model for dataset L2 based on the chi^2 error level criterion. However, the failure to calculate the covariance matrix indicates that the parameter estimates correlate excessively. Therefore, the FOMC model may be preferred for this dataset.</p> </div> </div> @@ -440,18 +470,18 @@ <h1 class="hasAnchor"> <a href="#laboratory-data-l3" class="anchor"></a>Laboratory Data L3</h1> <p>The following code defines example dataset L3 from the FOCUS kinetics report, p. 290.</p> -<div class="sourceCode" id="cb18"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb18-1" title="1">FOCUS_<span class="dv">2006</span>_L3 =<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/data.frame">data.frame</a></span>(</a> -<a class="sourceLine" id="cb18-2" title="2"> <span class="dt">t =</span> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="dv">0</span>, <span class="dv">3</span>, <span class="dv">7</span>, <span class="dv">14</span>, <span class="dv">30</span>, <span class="dv">60</span>, <span class="dv">91</span>, <span class="dv">120</span>),</a> -<a class="sourceLine" id="cb18-3" title="3"> <span class="dt">parent =</span> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="fl">97.8</span>, <span class="dv">60</span>, <span class="dv">51</span>, <span class="dv">43</span>, <span class="dv">35</span>, <span class="dv">22</span>, <span class="dv">15</span>, <span class="dv">12</span>))</a> -<a class="sourceLine" id="cb18-4" title="4">FOCUS_<span class="dv">2006</span>_L3_mkin <-<span class="st"> </span><span class="kw"><a href="../reference/mkin_wide_to_long.html">mkin_wide_to_long</a></span>(FOCUS_<span class="dv">2006</span>_L3)</a></code></pre></div> +<div class="sourceCode" id="cb22"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb22-1" title="1">FOCUS_<span class="dv">2006</span>_L3 =<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/data.frame">data.frame</a></span>(</a> +<a class="sourceLine" id="cb22-2" title="2"> <span class="dt">t =</span> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="dv">0</span>, <span class="dv">3</span>, <span class="dv">7</span>, <span class="dv">14</span>, <span class="dv">30</span>, <span class="dv">60</span>, <span class="dv">91</span>, <span class="dv">120</span>),</a> +<a class="sourceLine" id="cb22-3" title="3"> <span class="dt">parent =</span> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="fl">97.8</span>, <span class="dv">60</span>, <span class="dv">51</span>, <span class="dv">43</span>, <span class="dv">35</span>, <span class="dv">22</span>, <span class="dv">15</span>, <span class="dv">12</span>))</a> +<a class="sourceLine" id="cb22-4" title="4">FOCUS_<span class="dv">2006</span>_L3_mkin <-<span class="st"> </span><span class="kw"><a href="../reference/mkin_wide_to_long.html">mkin_wide_to_long</a></span>(FOCUS_<span class="dv">2006</span>_L3)</a></code></pre></div> <div id="fit-multiple-models" class="section level2"> <h2 class="hasAnchor"> <a href="#fit-multiple-models" class="anchor"></a>Fit multiple models</h2> <p>As of mkin version 0.9-39 (June 2015), we can fit several models to one or more datasets in one call to the function <code>mmkin</code>. The datasets have to be passed in a list, in this case a named list holding only the L3 dataset prepared above.</p> -<div class="sourceCode" id="cb19"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb19-1" title="1"><span class="co"># Only use one core here, not to offend the CRAN checks</span></a> -<a class="sourceLine" id="cb19-2" title="2">mm.L3 <-<span class="st"> </span><span class="kw"><a href="../reference/mmkin.html">mmkin</a></span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="st">"SFO"</span>, <span class="st">"FOMC"</span>, <span class="st">"DFOP"</span>), <span class="dt">cores =</span> <span class="dv">1</span>,</a> -<a class="sourceLine" id="cb19-3" title="3"> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/list">list</a></span>(<span class="st">"FOCUS L3"</span> =<span class="st"> </span>FOCUS_<span class="dv">2006</span>_L3_mkin), <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a> -<a class="sourceLine" id="cb19-4" title="4"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(mm.L3)</a></code></pre></div> +<div class="sourceCode" id="cb23"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb23-1" title="1"><span class="co"># Only use one core here, not to offend the CRAN checks</span></a> +<a class="sourceLine" id="cb23-2" title="2">mm.L3 <-<span class="st"> </span><span class="kw"><a href="../reference/mmkin.html">mmkin</a></span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="st">"SFO"</span>, <span class="st">"FOMC"</span>, <span class="st">"DFOP"</span>), <span class="dt">cores =</span> <span class="dv">1</span>,</a> +<a class="sourceLine" id="cb23-3" title="3"> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/list">list</a></span>(<span class="st">"FOCUS L3"</span> =<span class="st"> </span>FOCUS_<span class="dv">2006</span>_L3_mkin), <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a> +<a class="sourceLine" id="cb23-4" title="4"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(mm.L3)</a></code></pre></div> <p><img src="FOCUS_L_files/figure-html/unnamed-chunk-12-1.png" width="700"></p> <p>The <span class="math inline">\(\chi^2\)</span> error level of 21% as well as the plot suggest that the SFO model does not fit very well. The FOMC model performs better, with an error level at which the <span class="math inline">\(\chi^2\)</span> test passes of 7%. Fitting the four parameter DFOP model further reduces the <span class="math inline">\(\chi^2\)</span> error level considerably.</p> </div> @@ -460,11 +490,11 @@ <a href="#accessing-mmkin-objects" class="anchor"></a>Accessing mmkin objects</h2> <p>The objects returned by mmkin are arranged like a matrix, with models as a row index and datasets as a column index.</p> <p>We can extract the summary and plot for <em>e.g.</em> the DFOP fit, using square brackets for indexing which will result in the use of the summary and plot functions working on mkinfit objects.</p> -<div class="sourceCode" id="cb20"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb20-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(mm.L3[[<span class="st">"DFOP"</span>, <span class="dv">1</span>]])</a></code></pre></div> -<pre><code>## mkin version used for fitting: 0.9.48.1 -## R version used for fitting: 3.5.2 -## Date of fit: Mon Mar 4 14:06:45 2019 -## Date of summary: Mon Mar 4 14:06:46 2019 +<div class="sourceCode" id="cb24"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb24-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(mm.L3[[<span class="st">"DFOP"</span>, <span class="dv">1</span>]])</a></code></pre></div> +<pre><code>## mkin version used for fitting: 0.9.49.4 +## R version used for fitting: 3.5.3 +## Date of fit: Wed Apr 10 10:11:39 2019 +## Date of summary: Wed Apr 10 10:11:39 2019 ## ## Equations: ## d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * @@ -473,16 +503,18 @@ ## ## Model predictions using solution type analytical ## -## Fitted with method Port using 137 model solutions performed in 0.343 s +## Fitted with method using 372 model solutions performed in 0.809 s ## -## Weighting: none +## Error model: +## NULL ## ## Starting values for parameters to be optimised: -## value type -## parent_0 97.80 state -## k1 0.10 deparm -## k2 0.01 deparm -## g 0.50 deparm +## value type +## parent_0 97.800000 state +## k1 0.100000 deparm +## k2 0.010000 deparm +## g 0.500000 deparm +## sigma 1.017292 error ## ## Starting values for the transformed parameters actually optimised: ## value lower upper @@ -490,35 +522,37 @@ ## log_k1 -2.302585 -Inf Inf ## log_k2 -4.605170 -Inf Inf ## g_ilr 0.000000 -Inf Inf +## sigma 1.017292 0 Inf ## ## Fixed parameter values: ## None ## ## Optimised, transformed parameters with symmetric confidence intervals: -## Estimate Std. Error Lower Upper -## parent_0 97.7500 1.43800 93.7500 101.70000 -## log_k1 -0.6612 0.13340 -1.0310 -0.29100 -## log_k2 -4.2860 0.05902 -4.4500 -4.12200 -## g_ilr -0.1229 0.05121 -0.2651 0.01925 +## Estimate Std. Error Lower Upper +## parent_0 97.7500 1.01900 94.5000 101.000000 +## log_k1 -0.6612 0.10050 -0.9812 -0.341300 +## log_k2 -4.2860 0.04322 -4.4230 -4.148000 +## g_ilr -0.1229 0.03727 -0.2415 -0.004343 +## sigma 1.0170 0.25430 0.2079 1.827000 ## ## Parameter correlation: -## parent_0 log_k1 log_k2 g_ilr -## parent_0 1.00000 0.1640 0.01315 0.4253 -## log_k1 0.16400 1.0000 0.46478 -0.5526 -## log_k2 0.01315 0.4648 1.00000 -0.6631 -## g_ilr 0.42526 -0.5526 -0.66310 1.0000 -## -## Residual standard error: 1.439 on 4 degrees of freedom +## parent_0 log_k1 log_k2 g_ilr sigma +## parent_0 1.000e+00 1.732e-01 2.282e-02 4.009e-01 1.656e-07 +## log_k1 1.732e-01 1.000e+00 4.945e-01 -5.809e-01 6.759e-08 +## log_k2 2.282e-02 4.945e-01 1.000e+00 -6.812e-01 3.867e-07 +## g_ilr 4.009e-01 -5.809e-01 -6.812e-01 1.000e+00 -3.839e-07 +## sigma 1.656e-07 6.759e-08 3.867e-07 -3.839e-07 1.000e+00 ## ## Backtransformed parameters: ## Confidence intervals for internally transformed parameters are asymmetric. ## t-test (unrealistically) based on the assumption of normal distribution ## for estimators of untransformed parameters. ## Estimate t value Pr(>t) Lower Upper -## parent_0 97.75000 67.970 1.404e-07 93.75000 101.70000 -## k1 0.51620 7.499 8.460e-04 0.35650 0.74750 -## k2 0.01376 16.940 3.557e-05 0.01168 0.01621 -## g 0.45660 25.410 7.121e-06 0.40730 0.50680 +## parent_0 97.75000 95.960 1.248e-06 94.50000 101.00000 +## k1 0.51620 9.947 1.081e-03 0.37490 0.71090 +## k2 0.01376 23.140 8.840e-05 0.01199 0.01579 +## g 0.45660 34.920 2.581e-05 0.41540 0.49850 +## sigma 1.01700 4.000 1.400e-02 0.20790 1.82700 ## ## Chi2 error levels in percent: ## err.min n.optim df @@ -539,7 +573,7 @@ ## 60 parent 22.0 23.26 -1.25919 ## 91 parent 15.0 15.18 -0.18181 ## 120 parent 12.0 10.19 1.81395</code></pre> -<div class="sourceCode" id="cb22"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb22-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(mm.L3[[<span class="st">"DFOP"</span>, <span class="dv">1</span>]], <span class="dt">show_errmin =</span> <span class="ot">TRUE</span>)</a></code></pre></div> +<div class="sourceCode" id="cb26"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb26-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(mm.L3[[<span class="st">"DFOP"</span>, <span class="dv">1</span>]], <span class="dt">show_errmin =</span> <span class="ot">TRUE</span>)</a></code></pre></div> <p><img src="FOCUS_L_files/figure-html/unnamed-chunk-13-1.png" width="700"></p> <p>Here, a look to the model plot, the confidence intervals of the parameters and the correlation matrix suggest that the parameter estimates are reliable, and the DFOP model can be used as the best-fit model based on the <span class="math inline">\(\chi^2\)</span> error level criterion for laboratory data L3.</p> <p>This is also an example where the standard t-test for the parameter <code>g_ilr</code> is misleading, as it tests for a significant difference from zero. In this case, zero appears to be the correct value for this parameter, and the confidence interval for the backtransformed parameter <code>g</code> is quite narrow.</p> @@ -549,65 +583,69 @@ <h1 class="hasAnchor"> <a href="#laboratory-data-l4" class="anchor"></a>Laboratory Data L4</h1> <p>The following code defines example dataset L4 from the FOCUS kinetics report, p. 293:</p> -<div class="sourceCode" id="cb23"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb23-1" title="1">FOCUS_<span class="dv">2006</span>_L4 =<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/data.frame">data.frame</a></span>(</a> -<a class="sourceLine" id="cb23-2" title="2"> <span class="dt">t =</span> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="dv">0</span>, <span class="dv">3</span>, <span class="dv">7</span>, <span class="dv">14</span>, <span class="dv">30</span>, <span class="dv">60</span>, <span class="dv">91</span>, <span class="dv">120</span>),</a> -<a class="sourceLine" id="cb23-3" title="3"> <span class="dt">parent =</span> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="fl">96.6</span>, <span class="fl">96.3</span>, <span class="fl">94.3</span>, <span class="fl">88.8</span>, <span class="fl">74.9</span>, <span class="fl">59.9</span>, <span class="fl">53.5</span>, <span class="fl">49.0</span>))</a> -<a class="sourceLine" id="cb23-4" title="4">FOCUS_<span class="dv">2006</span>_L4_mkin <-<span class="st"> </span><span class="kw"><a href="../reference/mkin_wide_to_long.html">mkin_wide_to_long</a></span>(FOCUS_<span class="dv">2006</span>_L4)</a></code></pre></div> +<div class="sourceCode" id="cb27"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb27-1" title="1">FOCUS_<span class="dv">2006</span>_L4 =<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/data.frame">data.frame</a></span>(</a> +<a class="sourceLine" id="cb27-2" title="2"> <span class="dt">t =</span> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="dv">0</span>, <span class="dv">3</span>, <span class="dv">7</span>, <span class="dv">14</span>, <span class="dv">30</span>, <span class="dv">60</span>, <span class="dv">91</span>, <span class="dv">120</span>),</a> +<a class="sourceLine" id="cb27-3" title="3"> <span class="dt">parent =</span> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="fl">96.6</span>, <span class="fl">96.3</span>, <span class="fl">94.3</span>, <span class="fl">88.8</span>, <span class="fl">74.9</span>, <span class="fl">59.9</span>, <span class="fl">53.5</span>, <span class="fl">49.0</span>))</a> +<a class="sourceLine" id="cb27-4" title="4">FOCUS_<span class="dv">2006</span>_L4_mkin <-<span class="st"> </span><span class="kw"><a href="../reference/mkin_wide_to_long.html">mkin_wide_to_long</a></span>(FOCUS_<span class="dv">2006</span>_L4)</a></code></pre></div> <p>Fits of the SFO and FOMC models, plots and summaries are produced below:</p> -<div class="sourceCode" id="cb24"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb24-1" title="1"><span class="co"># Only use one core here, not to offend the CRAN checks</span></a> -<a class="sourceLine" id="cb24-2" title="2">mm.L4 <-<span class="st"> </span><span class="kw"><a href="../reference/mmkin.html">mmkin</a></span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="st">"SFO"</span>, <span class="st">"FOMC"</span>), <span class="dt">cores =</span> <span class="dv">1</span>,</a> -<a class="sourceLine" id="cb24-3" title="3"> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/list">list</a></span>(<span class="st">"FOCUS L4"</span> =<span class="st"> </span>FOCUS_<span class="dv">2006</span>_L4_mkin),</a> -<a class="sourceLine" id="cb24-4" title="4"> <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a> -<a class="sourceLine" id="cb24-5" title="5"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(mm.L4)</a></code></pre></div> +<div class="sourceCode" id="cb28"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb28-1" title="1"><span class="co"># Only use one core here, not to offend the CRAN checks</span></a> +<a class="sourceLine" id="cb28-2" title="2">mm.L4 <-<span class="st"> </span><span class="kw"><a href="../reference/mmkin.html">mmkin</a></span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="st">"SFO"</span>, <span class="st">"FOMC"</span>), <span class="dt">cores =</span> <span class="dv">1</span>,</a> +<a class="sourceLine" id="cb28-3" title="3"> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/list">list</a></span>(<span class="st">"FOCUS L4"</span> =<span class="st"> </span>FOCUS_<span class="dv">2006</span>_L4_mkin),</a> +<a class="sourceLine" id="cb28-4" title="4"> <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a> +<a class="sourceLine" id="cb28-5" title="5"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(mm.L4)</a></code></pre></div> <p><img src="FOCUS_L_files/figure-html/unnamed-chunk-15-1.png" width="700"></p> <p>The <span class="math inline">\(\chi^2\)</span> error level of 3.3% as well as the plot suggest that the SFO model fits very well. The error level at which the <span class="math inline">\(\chi^2\)</span> test passes is slightly lower for the FOMC model. However, the difference appears negligible.</p> -<div class="sourceCode" id="cb25"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb25-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(mm.L4[[<span class="st">"SFO"</span>, <span class="dv">1</span>]], <span class="dt">data =</span> <span class="ot">FALSE</span>)</a></code></pre></div> -<pre><code>## mkin version used for fitting: 0.9.48.1 -## R version used for fitting: 3.5.2 -## Date of fit: Mon Mar 4 14:06:46 2019 -## Date of summary: Mon Mar 4 14:06:46 2019 +<div class="sourceCode" id="cb29"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb29-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(mm.L4[[<span class="st">"SFO"</span>, <span class="dv">1</span>]], <span class="dt">data =</span> <span class="ot">FALSE</span>)</a></code></pre></div> +<pre><code>## mkin version used for fitting: 0.9.49.4 +## R version used for fitting: 3.5.3 +## Date of fit: Wed Apr 10 10:11:39 2019 +## Date of summary: Wed Apr 10 10:11:40 2019 ## ## Equations: ## d_parent/dt = - k_parent_sink * parent ## ## Model predictions using solution type analytical ## -## Fitted with method Port using 46 model solutions performed in 0.111 s +## Fitted with method using 146 model solutions performed in 0.306 s ## -## Weighting: none +## Error model: +## NULL ## ## Starting values for parameters to be optimised: -## value type -## parent_0 96.6 state -## k_parent_sink 0.1 deparm +## value type +## parent_0 96.60000 state +## k_parent_sink 0.10000 deparm +## sigma 3.16181 error ## ## Starting values for the transformed parameters actually optimised: ## value lower upper ## parent_0 96.600000 -Inf Inf ## log_k_parent_sink -2.302585 -Inf Inf +## sigma 3.161810 0 Inf ## ## Fixed parameter values: ## None ## ## Optimised, transformed parameters with symmetric confidence intervals: ## Estimate Std. Error Lower Upper -## parent_0 96.44 1.94900 91.670 101.200 -## log_k_parent_sink -5.03 0.07999 -5.225 -4.834 +## parent_0 96.440 1.69900 92.070 100.800 +## log_k_parent_sink -5.030 0.07059 -5.211 -4.848 +## sigma 3.162 0.79050 1.130 5.194 ## ## Parameter correlation: -## parent_0 log_k_parent_sink -## parent_0 1.0000 0.5865 -## log_k_parent_sink 0.5865 1.0000 -## -## Residual standard error: 3.651 on 6 degrees of freedom +## parent_0 log_k_parent_sink sigma +## parent_0 1.000e+00 5.938e-01 5.612e-10 +## log_k_parent_sink 5.938e-01 1.000e+00 -4.994e-10 +## sigma 5.612e-10 -4.994e-10 1.000e+00 ## ## Backtransformed parameters: ## Confidence intervals for internally transformed parameters are asymmetric. ## t-test (unrealistically) based on the assumption of normal distribution ## for estimators of untransformed parameters. ## Estimate t value Pr(>t) Lower Upper -## parent_0 96.440000 49.49 2.283e-09 91.670000 1.012e+02 -## k_parent_sink 0.006541 12.50 8.008e-06 0.005378 7.955e-03 +## parent_0 96.440000 56.77 1.604e-08 92.070000 1.008e+02 +## k_parent_sink 0.006541 14.17 1.578e-05 0.005455 7.842e-03 +## sigma 3.162000 4.00 5.162e-03 1.130000 5.194e+00 ## ## Chi2 error levels in percent: ## err.min n.optim df @@ -621,58 +659,62 @@ ## Estimated disappearance times: ## DT50 DT90 ## parent 106 352</code></pre> -<div class="sourceCode" id="cb27"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb27-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(mm.L4[[<span class="st">"FOMC"</span>, <span class="dv">1</span>]], <span class="dt">data =</span> <span class="ot">FALSE</span>)</a></code></pre></div> -<pre><code>## mkin version used for fitting: 0.9.48.1 -## R version used for fitting: 3.5.2 -## Date of fit: Mon Mar 4 14:06:46 2019 -## Date of summary: Mon Mar 4 14:06:46 2019 +<div class="sourceCode" id="cb31"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb31-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(mm.L4[[<span class="st">"FOMC"</span>, <span class="dv">1</span>]], <span class="dt">data =</span> <span class="ot">FALSE</span>)</a></code></pre></div> +<pre><code>## mkin version used for fitting: 0.9.49.4 +## R version used for fitting: 3.5.3 +## Date of fit: Wed Apr 10 10:11:40 2019 +## Date of summary: Wed Apr 10 10:11:40 2019 ## ## Equations: ## d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent ## ## Model predictions using solution type analytical ## -## Fitted with method Port using 66 model solutions performed in 0.173 s +## Fitted with method using 224 model solutions performed in 0.478 s ## -## Weighting: none +## Error model: +## NULL ## ## Starting values for parameters to be optimised: -## value type -## parent_0 96.6 state -## alpha 1.0 deparm -## beta 10.0 deparm +## value type +## parent_0 96.600000 state +## alpha 1.000000 deparm +## beta 10.000000 deparm +## sigma 1.830055 error ## ## Starting values for the transformed parameters actually optimised: ## value lower upper ## parent_0 96.600000 -Inf Inf ## log_alpha 0.000000 -Inf Inf ## log_beta 2.302585 -Inf Inf +## sigma 1.830055 0 Inf ## ## Fixed parameter values: ## None ## ## Optimised, transformed parameters with symmetric confidence intervals: -## Estimate Std. Error Lower Upper -## parent_0 99.1400 1.6800 94.820 103.5000 -## log_alpha -0.3506 0.3725 -1.308 0.6068 -## log_beta 4.1740 0.5635 2.726 5.6230 +## Estimate Std. Error Lower Upper +## parent_0 99.1400 1.2670 95.6300 102.7000 +## log_alpha -0.3506 0.2616 -1.0770 0.3756 +## log_beta 4.1740 0.3938 3.0810 5.2670 +## sigma 1.8300 0.4575 0.5598 3.1000 ## ## Parameter correlation: -## parent_0 log_alpha log_beta -## parent_0 1.0000 -0.5365 -0.6083 -## log_alpha -0.5365 1.0000 0.9913 -## log_beta -0.6083 0.9913 1.0000 -## -## Residual standard error: 2.315 on 5 degrees of freedom +## parent_0 log_alpha log_beta sigma +## parent_0 1.000e+00 -4.696e-01 -5.543e-01 -2.460e-07 +## log_alpha -4.696e-01 1.000e+00 9.889e-01 2.351e-08 +## log_beta -5.543e-01 9.889e-01 1.000e+00 5.079e-08 +## sigma -2.460e-07 2.351e-08 5.079e-08 1.000e+00 ## ## Backtransformed parameters: ## Confidence intervals for internally transformed parameters are asymmetric. ## t-test (unrealistically) based on the assumption of normal distribution ## for estimators of untransformed parameters. ## Estimate t value Pr(>t) Lower Upper -## parent_0 99.1400 59.020 1.322e-08 94.8200 103.500 -## alpha 0.7042 2.685 2.178e-02 0.2703 1.835 -## beta 64.9800 1.775 6.807e-02 15.2600 276.600 +## parent_0 99.1400 78.250 7.993e-08 95.6300 102.700 +## alpha 0.7042 3.823 9.365e-03 0.3407 1.456 +## beta 64.9800 2.540 3.201e-02 21.7800 193.900 +## sigma 1.8300 4.000 8.065e-03 0.5598 3.100 ## ## Chi2 error levels in percent: ## err.min n.optim df diff --git a/docs/articles/FOCUS_L_files/figure-html/unnamed-chunk-12-1.png b/docs/articles/FOCUS_L_files/figure-html/unnamed-chunk-12-1.png Binary files differindex 770db292..6e4ccb9d 100644 --- a/docs/articles/FOCUS_L_files/figure-html/unnamed-chunk-12-1.png +++ b/docs/articles/FOCUS_L_files/figure-html/unnamed-chunk-12-1.png diff --git a/docs/articles/FOCUS_L_files/figure-html/unnamed-chunk-6-1.png b/docs/articles/FOCUS_L_files/figure-html/unnamed-chunk-6-1.png Binary files differindex ee225461..0a403808 100644 --- a/docs/articles/FOCUS_L_files/figure-html/unnamed-chunk-6-1.png +++ b/docs/articles/FOCUS_L_files/figure-html/unnamed-chunk-6-1.png diff --git a/docs/articles/index.html b/docs/articles/index.html index 9381dedb..eb2d55ef 100644 --- a/docs/articles/index.html +++ b/docs/articles/index.html @@ -60,7 +60,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -132,6 +132,7 @@ <li><a href="twa.html">Calculation of time weighted average concentrations with mkin</a></li> <li><a href="web_only/FOCUS_Z.html">Example evaluation of FOCUS dataset Z</a></li> <li><a href="web_only/NAFTA_examples.html">Evaluation of example datasets from Attachment 1 to the US EPA SOP for the NAFTA guidance</a></li> + <li><a href="web_only/benchmarks.html">Benchmark timings for mkin on various systems</a></li> <li><a href="web_only/compiled_models.html">Performance benefit by using compiled model definitions in mkin</a></li> </ul> </div> diff --git a/docs/articles/mkin.html b/docs/articles/mkin.html index 93ad4b56..2e5cd759 100644 --- a/docs/articles/mkin.html +++ b/docs/articles/mkin.html @@ -30,7 +30,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -88,7 +88,7 @@ <h1>Introduction to mkin</h1> <h4 class="author">Johannes Ranke</h4> - <h4 class="date">2019-03-04</h4> + <h4 class="date">2019-04-10</h4> <div class="hidden name"><code>mkin.Rmd</code></div> diff --git a/docs/articles/twa.html b/docs/articles/twa.html index f58814e3..cdcea4d3 100644 --- a/docs/articles/twa.html +++ b/docs/articles/twa.html @@ -30,7 +30,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -88,7 +88,7 @@ <h1>Calculation of time weighted average concentrations with mkin</h1> <h4 class="author">Johannes Ranke</h4> - <h4 class="date">2019-03-04</h4> + <h4 class="date">2019-04-10</h4> <div class="hidden name"><code>twa.Rmd</code></div> diff --git a/docs/articles/web_only/FOCUS_Z.html b/docs/articles/web_only/FOCUS_Z.html index 79e39e55..33d0c90f 100644 --- a/docs/articles/web_only/FOCUS_Z.html +++ b/docs/articles/web_only/FOCUS_Z.html @@ -30,7 +30,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -88,7 +88,7 @@ <h1>Example evaluation of FOCUS dataset Z</h1> <h4 class="author">Johannes Ranke</h4> - <h4 class="date">2019-03-04</h4> + <h4 class="date">2019-04-10</h4> <div class="hidden name"><code>FOCUS_Z.Rmd</code></div> @@ -125,87 +125,97 @@ <div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb2-1" title="1">Z<span class="fl">.2</span>a <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinmod.html">mkinmod</a></span>(<span class="dt">Z0 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z1"</span>),</a> <a class="sourceLine" id="cb2-2" title="2"> <span class="dt">Z1 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>))</a></code></pre></div> <pre><code>## Successfully compiled differential equation model from auto-generated C code.</code></pre> -<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb4-1" title="1">m.Z<span class="fl">.2</span>a <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(Z<span class="fl">.2</span>a, FOCUS_<span class="dv">2006</span>_Z_mkin, <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a> -<a class="sourceLine" id="cb4-2" title="2"><span class="kw"><a href="../../reference/plot.mkinfit.html">plot_sep</a></span>(m.Z<span class="fl">.2</span>a)</a></code></pre></div> +<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb4-1" title="1">m.Z<span class="fl">.2</span>a <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(Z<span class="fl">.2</span>a, FOCUS_<span class="dv">2006</span>_Z_mkin, <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a></code></pre></div> +<pre><code>## Warning in mkinfit(Z.2a, FOCUS_2006_Z_mkin, quiet = TRUE): Observations +## with value of zero were removed from the data</code></pre> +<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb6-1" title="1"><span class="kw"><a href="../../reference/plot.mkinfit.html">plot_sep</a></span>(m.Z<span class="fl">.2</span>a)</a></code></pre></div> <p><img src="FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_1-1.png" width="700"></p> -<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb5-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(m.Z<span class="fl">.2</span>a, <span class="dt">data =</span> <span class="ot">FALSE</span>)<span class="op">$</span>bpar</a></code></pre></div> -<pre><code>## Warning in summary.mkinfit(m.Z.2a, data = FALSE): Could not estimate -## covariance matrix; singular system.</code></pre> -<pre><code>## Estimate se_notrans t value Pr(>t) Lower Upper -## Z0_0 9.7015e+01 3.553140 2.7304e+01 1.6793e-21 NA NA -## k_Z0_sink 1.2790e-11 0.226895 5.6368e-11 5.0000e-01 NA NA -## k_Z0_Z1 2.2360e+00 0.165073 1.3546e+01 7.3938e-14 NA NA -## k_Z1_sink 4.8212e-01 0.065854 7.3212e+00 3.5520e-08 NA NA</code></pre> +<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb7-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(m.Z<span class="fl">.2</span>a, <span class="dt">data =</span> <span class="ot">FALSE</span>)<span class="op">$</span>bpar</a></code></pre></div> +<pre><code>## Estimate se_notrans t value Pr(>t) Lower Upper +## Z0_0 9.7015e+01 3.39373 2.8587e+01 6.4606e-21 91.66556 102.3642 +## k_Z0_sink 4.0181e-10 0.22534 1.7831e-09 5.0000e-01 0.00000 Inf +## k_Z0_Z1 2.2360e+00 0.15915 1.4050e+01 1.1387e-13 1.95303 2.5600 +## k_Z1_sink 4.8212e-01 0.06547 7.3641e+00 5.1396e-08 0.40341 0.5762 +## sigma 4.8041e+00 0.63763 7.5343e+00 3.4444e-08 3.52677 6.0815</code></pre> <p>As obvious from the parameter summary (the component of the summary), the kinetic rate constant from parent compound Z to sink is very small and the t-test for this parameter suggests that it is not significantly different from zero. This suggests, in agreement with the analysis in the FOCUS kinetics report, to simplify the model by removing the pathway to sink.</p> <p>A similar result can be obtained when formation fractions are used in the model formulation:</p> -<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb8-1" title="1">Z<span class="fl">.2</span>a.ff <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinmod.html">mkinmod</a></span>(<span class="dt">Z0 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z1"</span>),</a> -<a class="sourceLine" id="cb8-2" title="2"> <span class="dt">Z1 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>),</a> -<a class="sourceLine" id="cb8-3" title="3"> <span class="dt">use_of_ff =</span> <span class="st">"max"</span>)</a></code></pre></div> +<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb9-1" title="1">Z<span class="fl">.2</span>a.ff <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinmod.html">mkinmod</a></span>(<span class="dt">Z0 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z1"</span>),</a> +<a class="sourceLine" id="cb9-2" title="2"> <span class="dt">Z1 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>),</a> +<a class="sourceLine" id="cb9-3" title="3"> <span class="dt">use_of_ff =</span> <span class="st">"max"</span>)</a></code></pre></div> <pre><code>## Successfully compiled differential equation model from auto-generated C code.</code></pre> -<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb10-1" title="1">m.Z<span class="fl">.2</span>a.ff <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(Z<span class="fl">.2</span>a.ff, FOCUS_<span class="dv">2006</span>_Z_mkin, <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a> -<a class="sourceLine" id="cb10-2" title="2"><span class="kw"><a href="../../reference/plot.mkinfit.html">plot_sep</a></span>(m.Z<span class="fl">.2</span>a.ff)</a></code></pre></div> +<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb11-1" title="1">m.Z<span class="fl">.2</span>a.ff <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(Z<span class="fl">.2</span>a.ff, FOCUS_<span class="dv">2006</span>_Z_mkin, <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a></code></pre></div> +<pre><code>## Warning in mkinfit(Z.2a.ff, FOCUS_2006_Z_mkin, quiet = TRUE): Observations +## with value of zero were removed from the data</code></pre> +<div class="sourceCode" id="cb13"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb13-1" title="1"><span class="kw"><a href="../../reference/plot.mkinfit.html">plot_sep</a></span>(m.Z<span class="fl">.2</span>a.ff)</a></code></pre></div> <p><img src="FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_2-1.png" width="700"></p> -<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb11-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(m.Z<span class="fl">.2</span>a.ff, <span class="dt">data =</span> <span class="ot">FALSE</span>)<span class="op">$</span>bpar</a></code></pre></div> -<pre><code>## Warning in summary.mkinfit(m.Z.2a.ff, data = FALSE): Could not estimate -## covariance matrix; singular system.</code></pre> -<pre><code>## Estimate se_notrans t value Pr(>t) Lower Upper -## Z0_0 97.01488 3.553145 27.3039 1.6793e-21 NA NA -## k_Z0 2.23601 0.216849 10.3114 3.6623e-11 NA NA -## k_Z1 0.48212 0.065854 7.3211 3.5520e-08 NA NA -## f_Z0_to_Z1 1.00000 0.101473 9.8548 9.7068e-11 NA NA</code></pre> +<div class="sourceCode" id="cb14"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb14-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(m.Z<span class="fl">.2</span>a.ff, <span class="dt">data =</span> <span class="ot">FALSE</span>)<span class="op">$</span>bpar</a></code></pre></div> +<pre><code>## Estimate se_notrans t value Pr(>t) Lower Upper +## Z0_0 97.01488 3.301084 29.3888 3.2971e-21 91.66556 102.3642 +## k_Z0 2.23601 0.207078 10.7979 3.3309e-11 1.95303 2.5600 +## k_Z1 0.48212 0.063265 7.6207 2.8155e-08 0.40341 0.5762 +## f_Z0_to_Z1 1.00000 0.094764 10.5525 5.3560e-11 0.00000 1.0000 +## sigma 4.80411 0.635638 7.5579 3.2592e-08 3.52677 6.0815</code></pre> <p>Here, the ilr transformed formation fraction fitted in the model takes a very large value, and the backtransformed formation fraction from parent Z to Z1 is practically unity. Here, the covariance matrix used for the calculation of confidence intervals is not returned as the model is overparameterised.</p> <p>A simplified model is obtained by removing the pathway to the sink. </p> <p>In the following, we use the parameterisation with formation fractions in order to be able to compare with the results in the FOCUS guidance, and as it makes it easier to use parameters obtained in a previous fit when adding a further metabolite.</p> -<div class="sourceCode" id="cb14"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb14-1" title="1">Z<span class="fl">.3</span> <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinmod.html">mkinmod</a></span>(<span class="dt">Z0 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z1"</span>, <span class="dt">sink =</span> <span class="ot">FALSE</span>),</a> -<a class="sourceLine" id="cb14-2" title="2"> <span class="dt">Z1 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>), <span class="dt">use_of_ff =</span> <span class="st">"max"</span>)</a></code></pre></div> +<div class="sourceCode" id="cb16"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb16-1" title="1">Z<span class="fl">.3</span> <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinmod.html">mkinmod</a></span>(<span class="dt">Z0 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z1"</span>, <span class="dt">sink =</span> <span class="ot">FALSE</span>),</a> +<a class="sourceLine" id="cb16-2" title="2"> <span class="dt">Z1 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>), <span class="dt">use_of_ff =</span> <span class="st">"max"</span>)</a></code></pre></div> <pre><code>## Successfully compiled differential equation model from auto-generated C code.</code></pre> -<div class="sourceCode" id="cb16"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb16-1" title="1">m.Z<span class="fl">.3</span> <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(Z<span class="fl">.3</span>, FOCUS_<span class="dv">2006</span>_Z_mkin, <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a> -<a class="sourceLine" id="cb16-2" title="2"><span class="kw"><a href="../../reference/plot.mkinfit.html">plot_sep</a></span>(m.Z<span class="fl">.3</span>)</a></code></pre></div> +<div class="sourceCode" id="cb18"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb18-1" title="1">m.Z<span class="fl">.3</span> <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(Z<span class="fl">.3</span>, FOCUS_<span class="dv">2006</span>_Z_mkin, <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a></code></pre></div> +<pre><code>## Warning in mkinfit(Z.3, FOCUS_2006_Z_mkin, quiet = TRUE): Observations with +## value of zero were removed from the data</code></pre> +<div class="sourceCode" id="cb20"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb20-1" title="1"><span class="kw"><a href="../../reference/plot.mkinfit.html">plot_sep</a></span>(m.Z<span class="fl">.3</span>)</a></code></pre></div> <p><img src="FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_3-1.png" width="700"></p> -<div class="sourceCode" id="cb17"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb17-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(m.Z<span class="fl">.3</span>, <span class="dt">data =</span> <span class="ot">FALSE</span>)<span class="op">$</span>bpar</a></code></pre></div> -<pre><code>## Estimate se_notrans t value Pr(>t) Lower Upper -## Z0_0 97.01488 2.681772 36.176 2.3636e-25 91.52152 102.508 -## k_Z0 2.23601 0.146861 15.225 2.2464e-15 1.95453 2.558 -## k_Z1 0.48212 0.042687 11.294 3.0686e-12 0.40216 0.578</code></pre> +<div class="sourceCode" id="cb21"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb21-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(m.Z<span class="fl">.3</span>, <span class="dt">data =</span> <span class="ot">FALSE</span>)<span class="op">$</span>bpar</a></code></pre></div> +<pre><code>## Estimate se_notrans t value Pr(>t) Lower Upper +## Z0_0 97.01488 2.597342 37.352 2.0106e-24 91.67597 102.3538 +## k_Z0 2.23601 0.146904 15.221 9.1477e-15 1.95354 2.5593 +## k_Z1 0.48212 0.041727 11.554 4.8268e-12 0.40355 0.5760 +## sigma 4.80411 0.620208 7.746 1.6110e-08 3.52925 6.0790</code></pre> <p>As there is only one transformation product for Z0 and no pathway to sink, the formation fraction is internally fixed to unity.</p> </div> <div id="metabolites-z2-and-z3" class="section level1"> <h1 class="hasAnchor"> <a href="#metabolites-z2-and-z3" class="anchor"></a>Metabolites Z2 and Z3</h1> <p>As suggested in the FOCUS report, the pathway to sink was removed for metabolite Z1 as well in the next step. While this step appears questionable on the basis of the above results, it is followed here for the purpose of comparison. Also, in the FOCUS report, it is assumed that there is additional empirical evidence that Z1 quickly and exclusively hydrolyses to Z2.</p> -<div class="sourceCode" id="cb19"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb19-1" title="1">Z<span class="fl">.5</span> <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinmod.html">mkinmod</a></span>(<span class="dt">Z0 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z1"</span>, <span class="dt">sink =</span> <span class="ot">FALSE</span>),</a> -<a class="sourceLine" id="cb19-2" title="2"> <span class="dt">Z1 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z2"</span>, <span class="dt">sink =</span> <span class="ot">FALSE</span>),</a> -<a class="sourceLine" id="cb19-3" title="3"> <span class="dt">Z2 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>), <span class="dt">use_of_ff =</span> <span class="st">"max"</span>)</a></code></pre></div> +<div class="sourceCode" id="cb23"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb23-1" title="1">Z<span class="fl">.5</span> <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinmod.html">mkinmod</a></span>(<span class="dt">Z0 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z1"</span>, <span class="dt">sink =</span> <span class="ot">FALSE</span>),</a> +<a class="sourceLine" id="cb23-2" title="2"> <span class="dt">Z1 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z2"</span>, <span class="dt">sink =</span> <span class="ot">FALSE</span>),</a> +<a class="sourceLine" id="cb23-3" title="3"> <span class="dt">Z2 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>), <span class="dt">use_of_ff =</span> <span class="st">"max"</span>)</a></code></pre></div> <pre><code>## Successfully compiled differential equation model from auto-generated C code.</code></pre> -<div class="sourceCode" id="cb21"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb21-1" title="1">m.Z<span class="fl">.5</span> <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(Z<span class="fl">.5</span>, FOCUS_<span class="dv">2006</span>_Z_mkin, <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a> -<a class="sourceLine" id="cb21-2" title="2"><span class="kw"><a href="../../reference/plot.mkinfit.html">plot_sep</a></span>(m.Z<span class="fl">.5</span>)</a></code></pre></div> +<div class="sourceCode" id="cb25"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb25-1" title="1">m.Z<span class="fl">.5</span> <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(Z<span class="fl">.5</span>, FOCUS_<span class="dv">2006</span>_Z_mkin, <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a></code></pre></div> +<pre><code>## Warning in mkinfit(Z.5, FOCUS_2006_Z_mkin, quiet = TRUE): Observations with +## value of zero were removed from the data</code></pre> +<div class="sourceCode" id="cb27"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb27-1" title="1"><span class="kw"><a href="../../reference/plot.mkinfit.html">plot_sep</a></span>(m.Z<span class="fl">.5</span>)</a></code></pre></div> <p><img src="FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_5-1.png" width="700"></p> <p>Finally, metabolite Z3 is added to the model. We use the optimised differential equation parameter values from the previous fit in order to accelerate the optimization.</p> -<div class="sourceCode" id="cb22"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb22-1" title="1">Z.FOCUS <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinmod.html">mkinmod</a></span>(<span class="dt">Z0 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z1"</span>, <span class="dt">sink =</span> <span class="ot">FALSE</span>),</a> -<a class="sourceLine" id="cb22-2" title="2"> <span class="dt">Z1 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z2"</span>, <span class="dt">sink =</span> <span class="ot">FALSE</span>),</a> -<a class="sourceLine" id="cb22-3" title="3"> <span class="dt">Z2 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z3"</span>),</a> -<a class="sourceLine" id="cb22-4" title="4"> <span class="dt">Z3 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>),</a> -<a class="sourceLine" id="cb22-5" title="5"> <span class="dt">use_of_ff =</span> <span class="st">"max"</span>)</a></code></pre></div> +<div class="sourceCode" id="cb28"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb28-1" title="1">Z.FOCUS <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinmod.html">mkinmod</a></span>(<span class="dt">Z0 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z1"</span>, <span class="dt">sink =</span> <span class="ot">FALSE</span>),</a> +<a class="sourceLine" id="cb28-2" title="2"> <span class="dt">Z1 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z2"</span>, <span class="dt">sink =</span> <span class="ot">FALSE</span>),</a> +<a class="sourceLine" id="cb28-3" title="3"> <span class="dt">Z2 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z3"</span>),</a> +<a class="sourceLine" id="cb28-4" title="4"> <span class="dt">Z3 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>),</a> +<a class="sourceLine" id="cb28-5" title="5"> <span class="dt">use_of_ff =</span> <span class="st">"max"</span>)</a></code></pre></div> <pre><code>## Successfully compiled differential equation model from auto-generated C code.</code></pre> -<div class="sourceCode" id="cb24"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb24-1" title="1">m.Z.FOCUS <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(Z.FOCUS, FOCUS_<span class="dv">2006</span>_Z_mkin,</a> -<a class="sourceLine" id="cb24-2" title="2"> <span class="dt">parms.ini =</span> m.Z<span class="fl">.5</span><span class="op">$</span>bparms.ode,</a> -<a class="sourceLine" id="cb24-3" title="3"> <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a></code></pre></div> -<pre><code>## Warning in mkinfit(Z.FOCUS, FOCUS_2006_Z_mkin, parms.ini = m.Z.5$bparms.ode, : Optimisation by method Port did not converge: +<div class="sourceCode" id="cb30"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb30-1" title="1">m.Z.FOCUS <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(Z.FOCUS, FOCUS_<span class="dv">2006</span>_Z_mkin,</a> +<a class="sourceLine" id="cb30-2" title="2"> <span class="dt">parms.ini =</span> m.Z<span class="fl">.5</span><span class="op">$</span>bparms.ode,</a> +<a class="sourceLine" id="cb30-3" title="3"> <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a></code></pre></div> +<pre><code>## Warning in mkinfit(Z.FOCUS, FOCUS_2006_Z_mkin, parms.ini = m.Z. +## 5$bparms.ode, : Observations with value of zero were removed from the data</code></pre> +<pre><code>## Warning in mkinfit(Z.FOCUS, FOCUS_2006_Z_mkin, parms.ini = m.Z.5$bparms.ode, : Optimisation did not converge: ## false convergence (8)</code></pre> -<div class="sourceCode" id="cb26"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb26-1" title="1"><span class="kw"><a href="../../reference/plot.mkinfit.html">plot_sep</a></span>(m.Z.FOCUS)</a></code></pre></div> +<div class="sourceCode" id="cb33"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb33-1" title="1"><span class="kw"><a href="../../reference/plot.mkinfit.html">plot_sep</a></span>(m.Z.FOCUS)</a></code></pre></div> <p><img src="FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_6-1.png" width="700"></p> -<div class="sourceCode" id="cb27"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb27-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(m.Z.FOCUS, <span class="dt">data =</span> <span class="ot">FALSE</span>)<span class="op">$</span>bpar</a></code></pre></div> +<div class="sourceCode" id="cb34"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb34-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(m.Z.FOCUS, <span class="dt">data =</span> <span class="ot">FALSE</span>)<span class="op">$</span>bpar</a></code></pre></div> <pre><code>## Estimate se_notrans t value Pr(>t) Lower Upper -## Z0_0 96.837112 2.058861 47.0343 5.5877e-44 92.703779 100.970445 -## k_Z0 2.215368 0.118098 18.7587 7.6563e-25 1.990525 2.465609 -## k_Z1 0.478302 0.029289 16.3302 3.3408e-22 0.422977 0.540864 -## k_Z2 0.451617 0.044214 10.2144 3.1133e-14 0.371034 0.549702 -## k_Z3 0.058693 0.014296 4.1056 7.2924e-05 0.035994 0.095705 -## f_Z2_to_Z3 0.471516 0.057057 8.2639 2.8156e-11 0.360381 0.585548</code></pre> -<div class="sourceCode" id="cb29"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb29-1" title="1"><span class="kw"><a href="../../reference/endpoints.html">endpoints</a></span>(m.Z.FOCUS)</a></code></pre></div> +## Z0_0 96.838619 1.994272 48.5584 4.0282e-42 92.826596 100.850642 +## k_Z0 2.215408 0.118459 18.7018 1.0415e-23 1.989468 2.467007 +## k_Z1 0.478300 0.028257 16.9267 6.2407e-22 0.424701 0.538663 +## k_Z2 0.451618 0.042138 10.7177 1.6308e-14 0.374327 0.544869 +## k_Z3 0.058693 0.015246 3.8498 1.7805e-04 0.034804 0.098981 +## f_Z2_to_Z3 0.471508 0.058352 8.0804 9.6647e-11 0.357725 0.588332 +## sigma 3.984431 0.383402 10.3923 4.5575e-14 3.213126 4.755736</code></pre> +<div class="sourceCode" id="cb36"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb36-1" title="1"><span class="kw"><a href="../../reference/endpoints.html">endpoints</a></span>(m.Z.FOCUS)</a></code></pre></div> <pre><code>## $ff ## Z2_Z3 Z2_sink -## 0.47152 0.52848 +## 0.47151 0.52849 ## ## $SFORB ## logical(0) @@ -213,9 +223,9 @@ ## $distimes ## DT50 DT90 ## Z0 0.31288 1.0394 -## Z1 1.44918 4.8141 +## Z1 1.44919 4.8141 ## Z2 1.53481 5.0985 -## Z3 11.80973 39.2311</code></pre> +## Z3 11.80962 39.2307</code></pre> <p>This fit corresponds to the final result chosen in Appendix 7 of the FOCUS report. Confidence intervals returned by mkin are based on internally transformed parameters, however.</p> </div> <div id="using-the-sforb-model" class="section level1"> @@ -223,77 +233,116 @@ <a href="#using-the-sforb-model" class="anchor"></a>Using the SFORB model</h1> <p>As the FOCUS report states, there is a certain tailing of the time course of metabolite Z3. Also, the time course of the parent compound is not fitted very well using the SFO model, as residues at a certain low level remain.</p> <p>Therefore, an additional model is offered here, using the single first-order reversible binding (SFORB) model for metabolite Z3. As expected, the <span class="math inline">\(\chi^2\)</span> error level is lower for metabolite Z3 using this model and the graphical fit for Z3 is improved. However, the covariance matrix is not returned.</p> -<div class="sourceCode" id="cb31"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb31-1" title="1">Z.mkin<span class="fl">.1</span> <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinmod.html">mkinmod</a></span>(<span class="dt">Z0 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z1"</span>, <span class="dt">sink =</span> <span class="ot">FALSE</span>),</a> -<a class="sourceLine" id="cb31-2" title="2"> <span class="dt">Z1 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z2"</span>, <span class="dt">sink =</span> <span class="ot">FALSE</span>),</a> -<a class="sourceLine" id="cb31-3" title="3"> <span class="dt">Z2 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z3"</span>),</a> -<a class="sourceLine" id="cb31-4" title="4"> <span class="dt">Z3 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFORB"</span>))</a></code></pre></div> +<div class="sourceCode" id="cb38"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb38-1" title="1">Z.mkin<span class="fl">.1</span> <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinmod.html">mkinmod</a></span>(<span class="dt">Z0 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z1"</span>, <span class="dt">sink =</span> <span class="ot">FALSE</span>),</a> +<a class="sourceLine" id="cb38-2" title="2"> <span class="dt">Z1 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z2"</span>, <span class="dt">sink =</span> <span class="ot">FALSE</span>),</a> +<a class="sourceLine" id="cb38-3" title="3"> <span class="dt">Z2 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z3"</span>),</a> +<a class="sourceLine" id="cb38-4" title="4"> <span class="dt">Z3 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFORB"</span>))</a></code></pre></div> <pre><code>## Successfully compiled differential equation model from auto-generated C code.</code></pre> -<div class="sourceCode" id="cb33"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb33-1" title="1">m.Z.mkin<span class="fl">.1</span> <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(Z.mkin<span class="fl">.1</span>, FOCUS_<span class="dv">2006</span>_Z_mkin, <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a> -<a class="sourceLine" id="cb33-2" title="2"><span class="kw"><a href="../../reference/plot.mkinfit.html">plot_sep</a></span>(m.Z.mkin<span class="fl">.1</span>)</a></code></pre></div> +<div class="sourceCode" id="cb40"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb40-1" title="1">m.Z.mkin<span class="fl">.1</span> <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(Z.mkin<span class="fl">.1</span>, FOCUS_<span class="dv">2006</span>_Z_mkin, <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a></code></pre></div> +<pre><code>## Warning in mkinfit(Z.mkin.1, FOCUS_2006_Z_mkin, quiet = TRUE): Observations +## with value of zero were removed from the data</code></pre> +<div class="sourceCode" id="cb42"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb42-1" title="1"><span class="kw"><a href="../../reference/plot.mkinfit.html">plot_sep</a></span>(m.Z.mkin<span class="fl">.1</span>)</a></code></pre></div> <p><img src="FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_7-1.png" width="700"></p> -<div class="sourceCode" id="cb34"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb34-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(m.Z.mkin<span class="fl">.1</span>, <span class="dt">data =</span> <span class="ot">FALSE</span>)<span class="op">$</span>cov.unscaled</a></code></pre></div> -<pre><code>## Warning in summary.mkinfit(m.Z.mkin.1, data = FALSE): Could not estimate -## covariance matrix; singular system.</code></pre> -<pre><code>## NULL</code></pre> +<div class="sourceCode" id="cb43"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb43-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(m.Z.mkin<span class="fl">.1</span>, <span class="dt">data =</span> <span class="ot">FALSE</span>)<span class="op">$</span>cov.unscaled</a></code></pre></div> +<pre><code>## Z0_0 log_k_Z0_Z1 log_k_Z1_Z2 log_k_Z2_sink +## Z0_0 3.8375e+00 5.4918e-03 3.0584e-02 1.2969e-01 +## log_k_Z0_Z1 5.4918e-03 2.7613e-03 -1.8820e-04 2.6634e-04 +## log_k_Z1_Z2 3.0584e-02 -1.8820e-04 3.3807e-03 3.2177e-03 +## log_k_Z2_sink 1.2969e-01 2.6634e-04 3.2177e-03 3.4256e-02 +## log_k_Z2_Z3_free -2.4223e-02 -2.6169e-04 -1.1845e-03 -8.1134e-03 +## log_k_Z3_free_sink -6.5467e-02 -4.0815e-04 -3.2978e-03 -3.6010e-02 +## log_k_Z3_free_bound -6.0658e-02 -4.4768e-04 -3.0588e-03 -3.9074e-02 +## log_k_Z3_bound_free 4.7821e+00 5.5819e-03 1.0267e-01 1.1956e+00 +## sigma -1.4345e-08 8.6519e-11 -6.1861e-10 -4.7499e-10 +## log_k_Z2_Z3_free log_k_Z3_free_sink +## Z0_0 -2.4223e-02 -6.5467e-02 +## log_k_Z0_Z1 -2.6169e-04 -4.0815e-04 +## log_k_Z1_Z2 -1.1845e-03 -3.2978e-03 +## log_k_Z2_sink -8.1134e-03 -3.6010e-02 +## log_k_Z2_Z3_free 1.5500e-02 2.1583e-02 +## log_k_Z3_free_sink 2.1583e-02 7.5705e-02 +## log_k_Z3_free_bound 2.5836e-02 1.1964e-01 +## log_k_Z3_bound_free -2.1303e-01 -9.0584e-01 +## sigma 5.8776e-10 1.0773e-09 +## log_k_Z3_free_bound log_k_Z3_bound_free sigma +## Z0_0 -6.0658e-02 4.7821e+00 -1.4345e-08 +## log_k_Z0_Z1 -4.4768e-04 5.5819e-03 8.6519e-11 +## log_k_Z1_Z2 -3.0588e-03 1.0267e-01 -6.1861e-10 +## log_k_Z2_sink -3.9074e-02 1.1956e+00 -4.7499e-10 +## log_k_Z2_Z3_free 2.5836e-02 -2.1303e-01 5.8776e-10 +## log_k_Z3_free_sink 1.1964e-01 -9.0584e-01 1.0773e-09 +## log_k_Z3_free_bound 6.5902e-01 4.2011e+00 2.1743e-09 +## log_k_Z3_bound_free 4.2011e+00 3.6036e+08 7.2404e-02 +## sigma 2.1743e-09 7.2404e-02 1.4170e-01</code></pre> <p>Therefore, a further stepwise model building is performed starting from the stage of parent and two metabolites, starting from the assumption that the model fit for the parent compound can be improved by using the SFORB model.</p> -<div class="sourceCode" id="cb37"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb37-1" title="1">Z.mkin<span class="fl">.3</span> <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinmod.html">mkinmod</a></span>(<span class="dt">Z0 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFORB"</span>, <span class="st">"Z1"</span>, <span class="dt">sink =</span> <span class="ot">FALSE</span>),</a> -<a class="sourceLine" id="cb37-2" title="2"> <span class="dt">Z1 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z2"</span>, <span class="dt">sink =</span> <span class="ot">FALSE</span>),</a> -<a class="sourceLine" id="cb37-3" title="3"> <span class="dt">Z2 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>))</a></code></pre></div> +<div class="sourceCode" id="cb45"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb45-1" title="1">Z.mkin<span class="fl">.3</span> <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinmod.html">mkinmod</a></span>(<span class="dt">Z0 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFORB"</span>, <span class="st">"Z1"</span>, <span class="dt">sink =</span> <span class="ot">FALSE</span>),</a> +<a class="sourceLine" id="cb45-2" title="2"> <span class="dt">Z1 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z2"</span>, <span class="dt">sink =</span> <span class="ot">FALSE</span>),</a> +<a class="sourceLine" id="cb45-3" title="3"> <span class="dt">Z2 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>))</a></code></pre></div> <pre><code>## Successfully compiled differential equation model from auto-generated C code.</code></pre> -<div class="sourceCode" id="cb39"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb39-1" title="1">m.Z.mkin<span class="fl">.3</span> <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(Z.mkin<span class="fl">.3</span>, FOCUS_<span class="dv">2006</span>_Z_mkin, <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a> -<a class="sourceLine" id="cb39-2" title="2"><span class="kw"><a href="../../reference/plot.mkinfit.html">plot_sep</a></span>(m.Z.mkin<span class="fl">.3</span>)</a></code></pre></div> +<div class="sourceCode" id="cb47"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb47-1" title="1">m.Z.mkin<span class="fl">.3</span> <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(Z.mkin<span class="fl">.3</span>, FOCUS_<span class="dv">2006</span>_Z_mkin, <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a></code></pre></div> +<pre><code>## Warning in mkinfit(Z.mkin.3, FOCUS_2006_Z_mkin, quiet = TRUE): Observations +## with value of zero were removed from the data</code></pre> +<div class="sourceCode" id="cb49"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb49-1" title="1"><span class="kw"><a href="../../reference/plot.mkinfit.html">plot_sep</a></span>(m.Z.mkin<span class="fl">.3</span>)</a></code></pre></div> <p><img src="FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_9-1.png" width="700"></p> <p>This results in a much better representation of the behaviour of the parent compound Z0.</p> <p>Finally, Z3 is added as well. These models appear overparameterised (no covariance matrix returned) if the sink for Z1 is left in the models.</p> -<div class="sourceCode" id="cb40"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb40-1" title="1">Z.mkin<span class="fl">.4</span> <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinmod.html">mkinmod</a></span>(<span class="dt">Z0 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFORB"</span>, <span class="st">"Z1"</span>, <span class="dt">sink =</span> <span class="ot">FALSE</span>),</a> -<a class="sourceLine" id="cb40-2" title="2"> <span class="dt">Z1 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z2"</span>, <span class="dt">sink =</span> <span class="ot">FALSE</span>),</a> -<a class="sourceLine" id="cb40-3" title="3"> <span class="dt">Z2 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z3"</span>),</a> -<a class="sourceLine" id="cb40-4" title="4"> <span class="dt">Z3 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>))</a></code></pre></div> +<div class="sourceCode" id="cb50"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb50-1" title="1">Z.mkin<span class="fl">.4</span> <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinmod.html">mkinmod</a></span>(<span class="dt">Z0 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFORB"</span>, <span class="st">"Z1"</span>, <span class="dt">sink =</span> <span class="ot">FALSE</span>),</a> +<a class="sourceLine" id="cb50-2" title="2"> <span class="dt">Z1 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z2"</span>, <span class="dt">sink =</span> <span class="ot">FALSE</span>),</a> +<a class="sourceLine" id="cb50-3" title="3"> <span class="dt">Z2 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z3"</span>),</a> +<a class="sourceLine" id="cb50-4" title="4"> <span class="dt">Z3 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>))</a></code></pre></div> <pre><code>## Successfully compiled differential equation model from auto-generated C code.</code></pre> -<div class="sourceCode" id="cb42"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb42-1" title="1">m.Z.mkin<span class="fl">.4</span> <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(Z.mkin<span class="fl">.4</span>, FOCUS_<span class="dv">2006</span>_Z_mkin,</a> -<a class="sourceLine" id="cb42-2" title="2"> <span class="dt">parms.ini =</span> m.Z.mkin<span class="fl">.3</span><span class="op">$</span>bparms.ode,</a> -<a class="sourceLine" id="cb42-3" title="3"> <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a> -<a class="sourceLine" id="cb42-4" title="4"><span class="kw"><a href="../../reference/plot.mkinfit.html">plot_sep</a></span>(m.Z.mkin<span class="fl">.4</span>)</a></code></pre></div> +<div class="sourceCode" id="cb52"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb52-1" title="1">m.Z.mkin<span class="fl">.4</span> <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(Z.mkin<span class="fl">.4</span>, FOCUS_<span class="dv">2006</span>_Z_mkin,</a> +<a class="sourceLine" id="cb52-2" title="2"> <span class="dt">parms.ini =</span> m.Z.mkin<span class="fl">.3</span><span class="op">$</span>bparms.ode,</a> +<a class="sourceLine" id="cb52-3" title="3"> <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a></code></pre></div> +<pre><code>## Warning in mkinfit(Z.mkin.4, FOCUS_2006_Z_mkin, parms.ini = m.Z.mkin. +## 3$bparms.ode, : Observations with value of zero were removed from the data</code></pre> +<div class="sourceCode" id="cb54"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb54-1" title="1"><span class="kw"><a href="../../reference/plot.mkinfit.html">plot_sep</a></span>(m.Z.mkin<span class="fl">.4</span>)</a></code></pre></div> <p><img src="FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_10-1.png" width="700"></p> <p>The error level of the fit, but especially of metabolite Z3, can be improved if the SFORB model is chosen for this metabolite, as this model is capable of representing the tailing of the metabolite decline phase.</p> -<div class="sourceCode" id="cb43"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb43-1" title="1">Z.mkin<span class="fl">.5</span> <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinmod.html">mkinmod</a></span>(<span class="dt">Z0 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFORB"</span>, <span class="st">"Z1"</span>, <span class="dt">sink =</span> <span class="ot">FALSE</span>),</a> -<a class="sourceLine" id="cb43-2" title="2"> <span class="dt">Z1 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z2"</span>, <span class="dt">sink =</span> <span class="ot">FALSE</span>),</a> -<a class="sourceLine" id="cb43-3" title="3"> <span class="dt">Z2 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z3"</span>),</a> -<a class="sourceLine" id="cb43-4" title="4"> <span class="dt">Z3 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFORB"</span>))</a></code></pre></div> +<div class="sourceCode" id="cb55"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb55-1" title="1">Z.mkin<span class="fl">.5</span> <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinmod.html">mkinmod</a></span>(<span class="dt">Z0 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFORB"</span>, <span class="st">"Z1"</span>, <span class="dt">sink =</span> <span class="ot">FALSE</span>),</a> +<a class="sourceLine" id="cb55-2" title="2"> <span class="dt">Z1 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z2"</span>, <span class="dt">sink =</span> <span class="ot">FALSE</span>),</a> +<a class="sourceLine" id="cb55-3" title="3"> <span class="dt">Z2 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"Z3"</span>),</a> +<a class="sourceLine" id="cb55-4" title="4"> <span class="dt">Z3 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFORB"</span>))</a></code></pre></div> <pre><code>## Successfully compiled differential equation model from auto-generated C code.</code></pre> -<div class="sourceCode" id="cb45"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb45-1" title="1">m.Z.mkin<span class="fl">.5</span> <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(Z.mkin<span class="fl">.5</span>, FOCUS_<span class="dv">2006</span>_Z_mkin,</a> -<a class="sourceLine" id="cb45-2" title="2"> <span class="dt">parms.ini =</span> m.Z.mkin<span class="fl">.4</span><span class="op">$</span>bparms.ode[<span class="dv">1</span><span class="op">:</span><span class="dv">4</span>],</a> -<a class="sourceLine" id="cb45-3" title="3"> <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a> -<a class="sourceLine" id="cb45-4" title="4"><span class="kw"><a href="../../reference/plot.mkinfit.html">plot_sep</a></span>(m.Z.mkin<span class="fl">.5</span>)</a></code></pre></div> +<div class="sourceCode" id="cb57"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb57-1" title="1">m.Z.mkin<span class="fl">.5</span> <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(Z.mkin<span class="fl">.5</span>, FOCUS_<span class="dv">2006</span>_Z_mkin,</a> +<a class="sourceLine" id="cb57-2" title="2"> <span class="dt">parms.ini =</span> m.Z.mkin<span class="fl">.4</span><span class="op">$</span>bparms.ode[<span class="dv">1</span><span class="op">:</span><span class="dv">4</span>],</a> +<a class="sourceLine" id="cb57-3" title="3"> <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a></code></pre></div> +<pre><code>## Warning in mkinfit(Z.mkin.5, FOCUS_2006_Z_mkin, parms.ini = m.Z.mkin. +## 4$bparms.ode[1:4], : Observations with value of zero were removed from the +## data</code></pre> +<div class="sourceCode" id="cb59"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb59-1" title="1"><span class="kw"><a href="../../reference/plot.mkinfit.html">plot_sep</a></span>(m.Z.mkin<span class="fl">.5</span>)</a></code></pre></div> <p><img src="FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_11-1.png" width="700"></p> <p>The summary view of the backtransformed parameters shows that we get no confidence intervals due to overparameterisation. As the optimized is excessively small, it seems reasonable to fix it to zero.</p> -<div class="sourceCode" id="cb46"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb46-1" title="1">m.Z.mkin<span class="fl">.5</span>a <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(Z.mkin<span class="fl">.5</span>, FOCUS_<span class="dv">2006</span>_Z_mkin,</a> -<a class="sourceLine" id="cb46-2" title="2"> <span class="dt">parms.ini =</span> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(m.Z.mkin<span class="fl">.5</span><span class="op">$</span>bparms.ode[<span class="dv">1</span><span class="op">:</span><span class="dv">7</span>],</a> -<a class="sourceLine" id="cb46-3" title="3"> <span class="dt">k_Z3_bound_free =</span> <span class="dv">0</span>),</a> -<a class="sourceLine" id="cb46-4" title="4"> <span class="dt">fixed_parms =</span> <span class="st">"k_Z3_bound_free"</span>,</a> -<a class="sourceLine" id="cb46-5" title="5"> <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a> -<a class="sourceLine" id="cb46-6" title="6"><span class="kw"><a href="../../reference/plot.mkinfit.html">plot_sep</a></span>(m.Z.mkin<span class="fl">.5</span>a)</a></code></pre></div> +<div class="sourceCode" id="cb60"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb60-1" title="1">m.Z.mkin<span class="fl">.5</span>a <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(Z.mkin<span class="fl">.5</span>, FOCUS_<span class="dv">2006</span>_Z_mkin,</a> +<a class="sourceLine" id="cb60-2" title="2"> <span class="dt">parms.ini =</span> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(m.Z.mkin<span class="fl">.5</span><span class="op">$</span>bparms.ode[<span class="dv">1</span><span class="op">:</span><span class="dv">7</span>],</a> +<a class="sourceLine" id="cb60-3" title="3"> <span class="dt">k_Z3_bound_free =</span> <span class="dv">0</span>),</a> +<a class="sourceLine" id="cb60-4" title="4"> <span class="dt">fixed_parms =</span> <span class="st">"k_Z3_bound_free"</span>,</a> +<a class="sourceLine" id="cb60-5" title="5"> <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a></code></pre></div> +<pre><code>## Warning in mkinfit(Z.mkin.5, FOCUS_2006_Z_mkin, parms.ini = c(m.Z.mkin. +## 5$bparms.ode[1:7], : Observations with value of zero were removed from the +## data</code></pre> +<div class="sourceCode" id="cb62"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb62-1" title="1"><span class="kw"><a href="../../reference/plot.mkinfit.html">plot_sep</a></span>(m.Z.mkin<span class="fl">.5</span>a)</a></code></pre></div> <p><img src="FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_11a-1.png" width="700"></p> <p>As expected, the residual plots for Z0 and Z3 are more random than in the case of the all SFO model for which they were shown above. In conclusion, the model is proposed as the best-fit model for the dataset from Appendix 7 of the FOCUS report.</p> <p>A graphical representation of the confidence intervals can finally be obtained.</p> -<div class="sourceCode" id="cb47"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb47-1" title="1"><span class="kw"><a href="../../reference/mkinparplot.html">mkinparplot</a></span>(m.Z.mkin<span class="fl">.5</span>a)</a></code></pre></div> +<div class="sourceCode" id="cb63"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb63-1" title="1"><span class="kw"><a href="../../reference/mkinparplot.html">mkinparplot</a></span>(m.Z.mkin<span class="fl">.5</span>a)</a></code></pre></div> <p><img src="FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_11b-1.png" width="700"></p> <p>The endpoints obtained with this model are</p> -<div class="sourceCode" id="cb48"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb48-1" title="1"><span class="kw"><a href="../../reference/endpoints.html">endpoints</a></span>(m.Z.mkin<span class="fl">.5</span>a)</a></code></pre></div> +<div class="sourceCode" id="cb64"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb64-1" title="1"><span class="kw"><a href="../../reference/endpoints.html">endpoints</a></span>(m.Z.mkin<span class="fl">.5</span>a)</a></code></pre></div> <pre><code>## $ff ## Z0_free_Z1 Z1_Z2 Z2_sink Z2_Z3_free Z3_free_sink ## 1.00000 1.00000 0.46344 0.53656 1.00000 ## ## $SFORB ## Z0_b1 Z0_b2 Z3_b1 Z3_b2 -## 2.4471382 0.0075127 0.0800075 0.0000000 +## 2.4471355 0.0075125 0.0800068 0.0000000 ## ## $distimes ## DT50 DT90 DT50_Z0_b1 DT50_Z0_b2 DT50_Z3_b1 DT50_Z3_b2 -## Z0 0.3043 1.1848 0.28325 92.264 NA NA +## Z0 0.3043 1.1848 0.28325 92.266 NA NA ## Z1 1.5148 5.0320 NA NA NA NA ## Z2 1.6414 5.4526 NA NA NA NA -## Z3 NA NA NA NA 8.6635 Inf</code></pre> +## Z3 NA NA NA NA 8.6636 Inf</code></pre> <p>It is clear the degradation rate of Z3 towards the end of the experiment is very low as DT50_Z3_b2 (the second Eigenvalue of the system of two differential equations representing the SFORB system for Z3, corresponding to the slower rate constant of the DFOP model) is reported to be infinity. However, this appears to be a feature of the data.</p> </div> <div id="references" class="section level1"> diff --git a/docs/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_1-1.png b/docs/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_1-1.png Binary files differindex 53f2ce85..f371827f 100644 --- a/docs/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_1-1.png +++ b/docs/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_1-1.png diff --git a/docs/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_10-1.png b/docs/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_10-1.png Binary files differindex 90eab945..3dfb6477 100644 --- a/docs/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_10-1.png +++ b/docs/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_10-1.png diff --git a/docs/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_11-1.png 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a/docs/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_9-1.png b/docs/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_9-1.png Binary files differindex e6ce97cd..27c51525 100644 --- a/docs/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_9-1.png +++ b/docs/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_9-1.png diff --git a/docs/articles/web_only/NAFTA_examples.html b/docs/articles/web_only/NAFTA_examples.html index 12e5d522..0bcfca27 100644 --- a/docs/articles/web_only/NAFTA_examples.html +++ b/docs/articles/web_only/NAFTA_examples.html @@ -30,7 +30,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -88,7 +88,7 @@ <h1>Evaluation of example datasets from Attachment 1 to the US EPA SOP for the NAFTA guidance</h1> <h4 class="author">Johannes Ranke</h4> - <h4 class="date">2019-03-04</h4> + <h4 class="date">2019-04-10</h4> <div class="hidden name"><code>NAFTA_examples.Rmd</code></div> @@ -111,13 +111,11 @@ <h2 class="hasAnchor"> <a href="#example-on-page-5-upper-panel" class="anchor"></a>Example on page 5, upper panel</h2> <div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" title="1">p5a <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p5a"</span>]])</a></code></pre></div> -<pre><code>## Warning in summary.mkinfit(x): Could not estimate covariance matrix; -## singular system.</code></pre> <pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> <pre><code>## The half-life obtained from the IORE model may be used</code></pre> -<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb5-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p5a)</a></code></pre></div> +<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb4-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p5a)</a></code></pre></div> <p><img src="NAFTA_examples_files/figure-html/p5a-1.png" width="700"></p> -<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb6-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p5a)</a></code></pre></div> +<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb5-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p5a)</a></code></pre></div> <pre><code>## Sums of squares: ## SFO IORE DFOP ## 465.21753 56.27506 32.06401 @@ -128,28 +126,31 @@ ## Parameters: ## $SFO ## Estimate Pr(>t) Lower Upper -## parent_0 95.8401 1.10e-21 92.121 99.5597 -## k_parent_sink 0.0102 1.71e-12 0.009 0.0117 +## parent_0 95.8401 4.67e-21 92.245 99.4357 +## k_parent_sink 0.0102 3.92e-12 0.009 0.0117 +## sigma 4.8230 3.81e-06 3.214 6.4318 ## ## $IORE -## Estimate Pr(>t) Lower Upper -## parent_0 1.01e+02 2.37e-26 9.89e+01 1.03e+02 -## k__iore_parent_sink 1.54e-05 8.73e-02 3.48e-06 6.85e-05 -## N_parent 2.57e+00 1.14e-11 2.22e+00 2.92e+00 +## Estimate Pr(>t) Lower Upper +## parent_0 1.01e+02 NA 9.91e+01 1.02e+02 +## k__iore_parent_sink 1.54e-05 NA 4.08e-06 5.84e-05 +## N_parent 2.57e+00 NA 2.25e+00 2.89e+00 +## sigma 1.68e+00 NA 1.12e+00 2.24e+00 ## ## $DFOP -## Estimate Pr(>t) Lower Upper -## parent_0 9.99e+01 4.33e-27 NA NA -## k1 2.67e-02 3.17e-05 NA NA -## k2 2.16e-12 5.00e-01 NA NA -## g 6.47e-01 2.13e-05 NA NA +## Estimate Pr(>t) Lower Upper +## parent_0 9.99e+01 1.41e-26 98.8116 101.0810 +## k1 2.67e-02 5.05e-06 0.0243 0.0295 +## k2 3.41e-12 5.00e-01 0.0000 Inf +## g 6.47e-01 3.67e-06 0.6248 0.6677 +## sigma 1.27e+00 8.91e-06 0.8395 1.6929 ## ## ## DTx values: ## DT50 DT90 DT50_rep ## SFO 67.7 2.25e+02 6.77e+01 ## IORE 58.2 1.07e+03 3.22e+02 -## DFOP 55.5 5.84e+11 3.21e+11 +## DFOP 55.5 3.70e+11 2.03e+11 ## ## Representative half-life: ## [1] 321.5119</code></pre> @@ -157,14 +158,12 @@ <div id="example-on-page-5-lower-panel" class="section level2"> <h2 class="hasAnchor"> <a href="#example-on-page-5-lower-panel" class="anchor"></a>Example on page 5, lower panel</h2> -<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb8-1" title="1">p5b <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p5b"</span>]])</a></code></pre></div> -<pre><code>## Warning in summary.mkinfit(x): Could not estimate covariance matrix; -## singular system.</code></pre> +<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb7-1" title="1">p5b <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p5b"</span>]])</a></code></pre></div> <pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> <pre><code>## The half-life obtained from the IORE model may be used</code></pre> -<div class="sourceCode" id="cb12"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb12-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p5b)</a></code></pre></div> +<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb10-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p5b)</a></code></pre></div> <p><img src="NAFTA_examples_files/figure-html/p5b-1.png" width="700"></p> -<div class="sourceCode" id="cb13"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb13-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p5b)</a></code></pre></div> +<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb11-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p5b)</a></code></pre></div> <pre><code>## Sums of squares: ## SFO IORE DFOP ## 94.81123 10.10936 7.55871 @@ -175,28 +174,31 @@ ## Parameters: ## $SFO ## Estimate Pr(>t) Lower Upper -## parent_0 96.497 2.62e-25 94.77653 98.21774 -## k_parent_sink 0.008 1.35e-14 0.00736 0.00871 +## parent_0 96.497 2.32e-24 94.85271 98.14155 +## k_parent_sink 0.008 3.42e-14 0.00737 0.00869 +## sigma 2.295 1.22e-05 1.47976 3.11036 ## ## $IORE ## Estimate Pr(>t) Lower Upper -## parent_0 9.85e+01 1.02e-29 9.78e+01 9.93e+01 -## k__iore_parent_sink 1.53e-04 1.15e-02 6.60e-05 3.56e-04 -## N_parent 1.94e+00 8.18e-13 1.74e+00 2.14e+00 +## parent_0 9.85e+01 1.17e-28 9.79e+01 9.92e+01 +## k__iore_parent_sink 1.53e-04 6.50e-03 7.21e-05 3.26e-04 +## N_parent 1.94e+00 5.88e-13 1.76e+00 2.12e+00 +## sigma 7.49e-01 1.63e-05 4.82e-01 1.02e+00 ## ## $DFOP -## Estimate Pr(>t) Lower Upper -## parent_0 9.84e+01 1.90e-28 NA NA -## k1 1.55e-02 2.83e-03 NA NA -## k2 8.17e-12 5.00e-01 NA NA -## g 6.89e-01 1.31e-02 NA NA +## Estimate Pr(>t) Lower Upper +## parent_0 9.84e+01 1.24e-27 97.8078 98.9187 +## k1 1.55e-02 4.10e-04 0.0143 0.0167 +## k2 1.09e-11 5.00e-01 0.0000 Inf +## g 6.89e-01 2.92e-03 0.6626 0.7142 +## sigma 6.48e-01 2.38e-05 0.4147 0.8813 ## ## ## DTx values: ## DT50 DT90 DT50_rep ## SFO 86.6 2.88e+02 8.66e+01 ## IORE 85.5 7.17e+02 2.16e+02 -## DFOP 83.6 1.39e+11 8.48e+10 +## DFOP 83.6 1.04e+11 6.34e+10 ## ## Representative half-life: ## [1] 215.8655</code></pre> @@ -204,14 +206,12 @@ <div id="example-on-page-6" class="section level2"> <h2 class="hasAnchor"> <a href="#example-on-page-6" class="anchor"></a>Example on page 6</h2> -<div class="sourceCode" id="cb15"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb15-1" title="1">p6 <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p6"</span>]])</a></code></pre></div> -<pre><code>## Warning in summary.mkinfit(x): Could not estimate covariance matrix; -## singular system.</code></pre> +<div class="sourceCode" id="cb13"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb13-1" title="1">p6 <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p6"</span>]])</a></code></pre></div> <pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> <pre><code>## The half-life obtained from the IORE model may be used</code></pre> -<div class="sourceCode" id="cb19"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb19-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p6)</a></code></pre></div> +<div class="sourceCode" id="cb16"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb16-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p6)</a></code></pre></div> <p><img src="NAFTA_examples_files/figure-html/p6-1.png" width="700"></p> -<div class="sourceCode" id="cb20"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb20-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p6)</a></code></pre></div> +<div class="sourceCode" id="cb17"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb17-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p6)</a></code></pre></div> <pre><code>## Sums of squares: ## SFO IORE DFOP ## 188.45361 51.00699 42.46931 @@ -222,28 +222,31 @@ ## Parameters: ## $SFO ## Estimate Pr(>t) Lower Upper -## parent_0 94.7759 1.25e-24 92.2558 97.2960 -## k_parent_sink 0.0179 2.35e-16 0.0166 0.0194 +## parent_0 94.7759 7.29e-24 92.3479 97.2039 +## k_parent_sink 0.0179 8.02e-16 0.0166 0.0194 +## sigma 3.0696 3.81e-06 2.0456 4.0936 ## ## $IORE ## Estimate Pr(>t) Lower Upper -## parent_0 97.12446 5.62e-27 95.49343 98.75549 -## k__iore_parent_sink 0.00252 3.54e-03 0.00126 0.00502 -## N_parent 1.49587 6.13e-13 1.32380 1.66794 +## parent_0 97.12446 2.63e-26 95.62461 98.62431 +## k__iore_parent_sink 0.00252 1.95e-03 0.00134 0.00472 +## N_parent 1.49587 4.07e-13 1.33896 1.65279 +## sigma 1.59698 5.05e-06 1.06169 2.13227 ## ## $DFOP -## Estimate Pr(>t) Lower Upper -## parent_0 9.66e+01 4.17e-26 NA NA -## k1 2.55e-02 2.12e-05 NA NA -## k2 3.09e-11 5.00e-01 NA NA -## g 8.61e-01 2.10e-05 NA NA +## Estimate Pr(>t) Lower Upper +## parent_0 9.66e+01 1.57e-25 95.3476 97.8979 +## k1 2.55e-02 7.33e-06 0.0233 0.0278 +## k2 3.88e-11 5.00e-01 0.0000 Inf +## g 8.61e-01 7.55e-06 0.8314 0.8867 +## sigma 1.46e+00 6.93e-06 0.9661 1.9483 ## ## ## DTx values: ## DT50 DT90 DT50_rep ## SFO 38.6 1.28e+02 3.86e+01 ## IORE 34.0 1.77e+02 5.32e+01 -## DFOP 34.1 1.06e+10 2.24e+10 +## DFOP 34.1 8.42e+09 1.79e+10 ## ## Representative half-life: ## [1] 53.16582</code></pre> @@ -251,14 +254,12 @@ <div id="example-on-page-7" class="section level2"> <h2 class="hasAnchor"> <a href="#example-on-page-7" class="anchor"></a>Example on page 7</h2> -<div class="sourceCode" id="cb22"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb22-1" title="1">p7 <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p7"</span>]])</a></code></pre></div> -<pre><code>## Warning in summary.mkinfit(x): Could not estimate covariance matrix; -## singular system.</code></pre> +<div class="sourceCode" id="cb19"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb19-1" title="1">p7 <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p7"</span>]])</a></code></pre></div> <pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> <pre><code>## The half-life obtained from the IORE model may be used</code></pre> -<div class="sourceCode" id="cb26"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb26-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p7)</a></code></pre></div> +<div class="sourceCode" id="cb22"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb22-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p7)</a></code></pre></div> <p><img src="NAFTA_examples_files/figure-html/p7-1.png" width="700"></p> -<div class="sourceCode" id="cb27"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb27-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p7)</a></code></pre></div> +<div class="sourceCode" id="cb23"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb23-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p7)</a></code></pre></div> <pre><code>## Sums of squares: ## SFO IORE DFOP ## 3661.661 3195.030 3174.145 @@ -269,28 +270,31 @@ ## Parameters: ## $SFO ## Estimate Pr(>t) Lower Upper -## parent_0 96.41796 1.52e-53 93.29554 99.54038 -## k_parent_sink 0.00735 3.59e-21 0.00641 0.00842 +## parent_0 96.41796 4.80e-53 93.32245 99.51347 +## k_parent_sink 0.00735 7.64e-21 0.00641 0.00843 +## sigma 7.94557 1.83e-15 6.46713 9.42401 ## ## $IORE -## Estimate Pr(>t) Lower Upper -## parent_0 9.92e+01 7.33e-49 9.53e+01 1.03e+02 -## k__iore_parent_sink 1.60e-05 3.47e-01 9.98e-08 2.57e-03 -## N_parent 2.45e+00 6.14e-05 1.26e+00 3.63e+00 +## Estimate Pr(>t) Lower Upper +## parent_0 9.92e+01 NA 9.55e+01 1.03e+02 +## k__iore_parent_sink 1.60e-05 NA 1.45e-07 1.77e-03 +## N_parent 2.45e+00 NA 1.35e+00 3.54e+00 +## sigma 7.42e+00 NA 6.04e+00 8.80e+00 ## ## $DFOP -## Estimate Pr(>t) Lower Upper -## parent_0 9.89e+01 8.13e-48 NA NA -## k1 1.81e-02 2.20e-01 NA NA -## k2 3.28e-10 5.00e-01 NA NA -## g 6.06e-01 2.60e-01 NA NA +## Estimate Pr(>t) Lower Upper +## parent_0 9.89e+01 9.44e-49 95.4640 102.2573 +## k1 1.81e-02 1.75e-01 0.0116 0.0281 +## k2 2.57e-10 5.00e-01 0.0000 Inf +## g 6.06e-01 2.19e-01 0.4826 0.7178 +## sigma 7.40e+00 2.97e-15 6.0201 8.7754 ## ## ## DTx values: ## DT50 DT90 DT50_rep ## SFO 94.3 3.13e+02 9.43e+01 ## IORE 96.7 1.51e+03 4.55e+02 -## DFOP 96.4 4.18e+09 2.11e+09 +## DFOP 96.4 5.32e+09 2.69e+09 ## ## Representative half-life: ## [1] 454.5528</code></pre> @@ -303,7 +307,7 @@ <h2 class="hasAnchor"> <a href="#example-on-page-8" class="anchor"></a>Example on page 8</h2> <p>For this dataset, the IORE fit does not converge when the default starting values used by mkin for the IORE model are used. Therefore, a lower value for the rate constant is used here.</p> -<div class="sourceCode" id="cb29"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb29-1" title="1">p8 <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p8"</span>]], <span class="dt">parms.ini =</span> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="dt">k__iore_parent_sink =</span> <span class="fl">1e-3</span>))</a></code></pre></div> +<div class="sourceCode" id="cb25"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb25-1" title="1">p8 <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p8"</span>]], <span class="dt">parms.ini =</span> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="dt">k__iore_parent_sink =</span> <span class="fl">1e-3</span>))</a></code></pre></div> <pre><code>## Warning in summary.mkinfit(x): Could not estimate covariance matrix; ## singular system. @@ -311,9 +315,9 @@ ## singular system.</code></pre> <pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> <pre><code>## The half-life obtained from the IORE model may be used</code></pre> -<div class="sourceCode" id="cb33"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb33-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p8)</a></code></pre></div> +<div class="sourceCode" id="cb29"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb29-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p8)</a></code></pre></div> <p><img src="NAFTA_examples_files/figure-html/p8-1.png" width="700"></p> -<div class="sourceCode" id="cb34"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb34-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p8)</a></code></pre></div> +<div class="sourceCode" id="cb30"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb30-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p8)</a></code></pre></div> <pre><code>## Sums of squares: ## SFO IORE DFOP ## 1996.9408 444.9237 547.5616 @@ -327,12 +331,14 @@ ## parent_0 88.16549 NA NA NA ## k__iore_parent_sink 0.00100 NA NA NA ## k_parent_sink 0.00803 NA NA NA +## sigma 7.44786 NA NA NA ## ## $IORE ## Estimate Pr(>t) Lower Upper -## parent_0 9.77e+01 1.05e-35 9.44e+01 1.01e+02 -## k__iore_parent_sink 6.14e-05 2.76e-02 2.21e-05 1.71e-04 -## N_parent 2.27e+00 6.00e-19 2.02e+00 2.53e+00 +## parent_0 9.77e+01 7.03e-35 9.44e+01 1.01e+02 +## k__iore_parent_sink 6.14e-05 3.20e-02 2.12e-05 1.78e-04 +## N_parent 2.27e+00 4.23e-18 2.00e+00 2.54e+00 +## sigma 3.52e+00 5.36e-10 2.67e+00 4.36e+00 ## ## $DFOP ## Estimate Pr(>t) Lower Upper @@ -341,6 +347,7 @@ ## k1 0.02500 NA NA NA ## k2 0.00273 NA NA NA ## g 0.58835 NA NA NA +## sigma 3.90001 NA NA NA ## ## ## DTx values: @@ -359,14 +366,12 @@ <div id="example-on-page-9-upper-panel" class="section level2"> <h2 class="hasAnchor"> <a href="#example-on-page-9-upper-panel" class="anchor"></a>Example on page 9, upper panel</h2> -<div class="sourceCode" id="cb36"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb36-1" title="1">p9a <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p9a"</span>]])</a></code></pre></div> -<pre><code>## Warning in summary.mkinfit(x): Could not estimate covariance matrix; -## singular system.</code></pre> +<div class="sourceCode" id="cb32"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb32-1" title="1">p9a <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p9a"</span>]])</a></code></pre></div> <pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> <pre><code>## The half-life obtained from the IORE model may be used</code></pre> -<div class="sourceCode" id="cb40"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb40-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p9a)</a></code></pre></div> +<div class="sourceCode" id="cb35"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb35-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p9a)</a></code></pre></div> <p><img src="NAFTA_examples_files/figure-html/p9a-1.png" width="700"></p> -<div class="sourceCode" id="cb41"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb41-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p9a)</a></code></pre></div> +<div class="sourceCode" id="cb36"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb36-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p9a)</a></code></pre></div> <pre><code>## Sums of squares: ## SFO IORE DFOP ## 839.35238 88.57064 9.93363 @@ -377,28 +382,31 @@ ## Parameters: ## $SFO ## Estimate Pr(>t) Lower Upper -## parent_0 88.1933 1.12e-12 79.7671 96.6195 -## k_parent_sink 0.0409 9.50e-08 0.0326 0.0513 +## parent_0 88.1933 3.06e-12 79.9447 96.4419 +## k_parent_sink 0.0409 2.07e-07 0.0324 0.0516 +## sigma 7.2429 3.92e-05 4.4768 10.0090 ## ## $IORE ## Estimate Pr(>t) Lower Upper -## parent_0 9.89e+01 5.16e-17 9.50e+01 1.03e+02 -## k__iore_parent_sink 1.93e-05 1.48e-01 2.65e-06 1.40e-04 -## N_parent 2.91e+00 3.74e-09 2.43e+00 3.39e+00 +## parent_0 9.89e+01 1.12e-16 9.54e+01 1.02e+02 +## k__iore_parent_sink 1.93e-05 1.13e-01 3.49e-06 1.06e-04 +## N_parent 2.91e+00 1.45e-09 2.50e+00 3.32e+00 +## sigma 2.35e+00 5.31e-05 1.45e+00 3.26e+00 ## ## $DFOP -## Estimate Pr(>t) Lower Upper -## parent_0 9.85e+01 1.31e-21 NA NA -## k1 1.38e-01 3.63e-09 NA NA -## k2 6.02e-13 5.00e-01 NA NA -## g 6.52e-01 1.50e-10 NA NA +## Estimate Pr(>t) Lower Upper +## parent_0 9.85e+01 2.54e-20 97.390 99.672 +## k1 1.38e-01 3.52e-05 0.131 0.146 +## k2 5.75e-13 5.00e-01 0.000 Inf +## g 6.52e-01 8.13e-06 0.642 0.661 +## sigma 7.88e-01 6.13e-02 0.481 1.095 ## ## ## DTx values: ## DT50 DT90 DT50_rep ## SFO 16.9 5.63e+01 1.69e+01 ## IORE 11.6 3.37e+02 1.01e+02 -## DFOP 10.5 2.07e+12 1.15e+12 +## DFOP 10.5 2.17e+12 1.21e+12 ## ## Representative half-life: ## [1] 101.4264</code></pre> @@ -407,14 +415,17 @@ <div id="example-on-page-9-lower-panel" class="section level2"> <h2 class="hasAnchor"> <a href="#example-on-page-9-lower-panel" class="anchor"></a>Example on page 9, lower panel</h2> -<div class="sourceCode" id="cb43"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb43-1" title="1">p9b <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p9b"</span>]])</a></code></pre></div> -<pre><code>## Warning in summary.mkinfit(x): Could not estimate covariance matrix; -## singular system.</code></pre> +<div class="sourceCode" id="cb38"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb38-1" title="1">p9b <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p9b"</span>]])</a></code></pre></div> +<pre><code>## Warning in sqrt(diag(covar)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in sqrt(diag(covar_notrans)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in sqrt(1/diag(V)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in cov2cor(ans$cov.unscaled): diag(.) had 0 or NA entries; non- +## finite result is doubtful</code></pre> <pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> <pre><code>## The half-life obtained from the IORE model may be used</code></pre> -<div class="sourceCode" id="cb47"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb47-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p9b)</a></code></pre></div> +<div class="sourceCode" id="cb45"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb45-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p9b)</a></code></pre></div> <p><img src="NAFTA_examples_files/figure-html/p9b-1.png" width="700"></p> -<div class="sourceCode" id="cb48"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb48-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p9b)</a></code></pre></div> +<div class="sourceCode" id="cb46"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb46-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p9b)</a></code></pre></div> <pre><code>## Sums of squares: ## SFO IORE DFOP ## 35.64867 23.22334 35.64867 @@ -424,22 +435,25 @@ ## ## Parameters: ## $SFO -## Estimate Pr(>t) Lower Upper -## parent_0 94.7123 2.21e-20 93.0673 96.357 -## k_parent_sink 0.0389 1.48e-14 0.0369 0.041 +## Estimate Pr(>t) Lower Upper +## parent_0 94.7123 2.15e-19 93.178 96.2464 +## k_parent_sink 0.0389 4.47e-14 0.037 0.0408 +## sigma 1.5957 1.28e-04 0.932 2.2595 ## ## $IORE ## Estimate Pr(>t) Lower Upper -## parent_0 93.863 2.91e-19 92.2996 95.426 -## k__iore_parent_sink 0.127 2.73e-02 0.0457 0.354 -## N_parent 0.711 3.13e-05 0.4605 0.961 +## parent_0 93.863 2.32e-18 92.4565 95.269 +## k__iore_parent_sink 0.127 1.85e-02 0.0504 0.321 +## N_parent 0.711 1.88e-05 0.4843 0.937 +## sigma 1.288 1.76e-04 0.7456 1.830 ## ## $DFOP -## Estimate Pr(>t) Lower Upper -## parent_0 94.7123 NA NA NA -## k1 0.0389 NA NA NA -## k2 0.0389 NA NA NA -## g 0.7742 NA NA NA +## Estimate Pr(>t) Lower Upper +## parent_0 94.7123 1.61e-16 93.1355 96.2891 +## k1 0.0389 NaN 0.0316 0.0478 +## k2 0.0389 1.13e-08 0.0203 0.0743 +## g 0.7599 NaN NA NA +## sigma 1.5957 2.50e-04 0.9135 2.2779 ## ## ## DTx values: @@ -455,14 +469,12 @@ <div id="example-on-page-10" class="section level2"> <h2 class="hasAnchor"> <a href="#example-on-page-10" class="anchor"></a>Example on page 10</h2> -<div class="sourceCode" id="cb50"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb50-1" title="1">p10 <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p10"</span>]])</a></code></pre></div> -<pre><code>## Warning in summary.mkinfit(x): Could not estimate covariance matrix; -## singular system.</code></pre> +<div class="sourceCode" id="cb48"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb48-1" title="1">p10 <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p10"</span>]])</a></code></pre></div> <pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> <pre><code>## The half-life obtained from the IORE model may be used</code></pre> -<div class="sourceCode" id="cb54"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb54-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p10)</a></code></pre></div> +<div class="sourceCode" id="cb51"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb51-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p10)</a></code></pre></div> <p><img src="NAFTA_examples_files/figure-html/p10-1.png" width="700"></p> -<div class="sourceCode" id="cb55"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb55-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p10)</a></code></pre></div> +<div class="sourceCode" id="cb52"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb52-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p10)</a></code></pre></div> <pre><code>## Sums of squares: ## SFO IORE DFOP ## 899.4089 336.4348 899.4089 @@ -473,21 +485,24 @@ ## Parameters: ## $SFO ## Estimate Pr(>t) Lower Upper -## parent_0 101.7315 4.95e-11 90.9683 112.4947 -## k_parent_sink 0.0495 3.40e-07 0.0393 0.0624 +## parent_0 101.7315 6.42e-11 91.9259 111.5371 +## k_parent_sink 0.0495 1.70e-07 0.0404 0.0607 +## sigma 8.0152 1.28e-04 4.6813 11.3491 ## ## $IORE ## Estimate Pr(>t) Lower Upper -## parent_0 96.86 2.71e-12 89.884 103.826 -## k__iore_parent_sink 2.96 1.31e-01 0.461 19.020 -## N_parent 0.00 5.00e-01 -0.473 0.473 +## parent_0 96.86 3.32e-12 90.848 102.863 +## k__iore_parent_sink 2.96 7.91e-02 0.687 12.761 +## N_parent 0.00 5.00e-01 -0.372 0.372 +## sigma 4.90 1.77e-04 2.837 6.968 ## ## $DFOP -## Estimate Pr(>t) Lower Upper -## parent_0 101.7315 NA NA NA -## k1 0.0495 NA NA NA -## k2 0.0495 NA NA NA -## g 0.6634 NA NA NA +## Estimate Pr(>t) Lower Upper +## parent_0 101.7315 1.41e-09 91.6534 111.8097 +## k1 0.0495 6.41e-04 0.0303 0.0809 +## k2 0.0495 1.66e-02 0.0201 0.1219 +## g 0.6634 5.00e-01 0.0000 1.0000 +## sigma 8.0152 2.50e-04 4.5886 11.4418 ## ## ## DTx values: @@ -507,14 +522,12 @@ <div id="example-on-page-11" class="section level2"> <h2 class="hasAnchor"> <a href="#example-on-page-11" class="anchor"></a>Example on page 11</h2> -<div class="sourceCode" id="cb57"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb57-1" title="1">p11 <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p11"</span>]])</a></code></pre></div> -<pre><code>## Warning in summary.mkinfit(x): Could not estimate covariance matrix; -## singular system.</code></pre> +<div class="sourceCode" id="cb54"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb54-1" title="1">p11 <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p11"</span>]])</a></code></pre></div> <pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> <pre><code>## The half-life obtained from the IORE model may be used</code></pre> -<div class="sourceCode" id="cb61"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb61-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p11)</a></code></pre></div> +<div class="sourceCode" id="cb57"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb57-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p11)</a></code></pre></div> <p><img src="NAFTA_examples_files/figure-html/p11-1.png" width="700"></p> -<div class="sourceCode" id="cb62"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb62-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p11)</a></code></pre></div> +<div class="sourceCode" id="cb58"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb58-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p11)</a></code></pre></div> <pre><code>## Sums of squares: ## SFO IORE DFOP ## 579.6805 204.7932 144.7783 @@ -525,28 +538,31 @@ ## Parameters: ## $SFO ## Estimate Pr(>t) Lower Upper -## parent_0 96.15820 1.56e-13 89.91373 1.02e+02 -## k_parent_sink 0.00321 5.27e-05 0.00218 4.71e-03 +## parent_0 96.15820 4.83e-13 90.24934 1.02e+02 +## k_parent_sink 0.00321 4.71e-05 0.00222 4.64e-03 +## sigma 6.43473 1.28e-04 3.75822 9.11e+00 ## ## $IORE ## Estimate Pr(>t) Lower Upper -## parent_0 1.05e+02 NA 9.80e+01 1.11e+02 -## k__iore_parent_sink 3.11e-17 NA 6.88e-25 1.41e-09 -## N_parent 8.36e+00 NA 4.40e+00 1.23e+01 +## parent_0 1.05e+02 NA 9.90e+01 1.10e+02 +## k__iore_parent_sink 3.11e-17 NA 1.35e-20 7.18e-14 +## N_parent 8.36e+00 NA 6.62e+00 1.01e+01 +## sigma 3.82e+00 NA 2.21e+00 5.44e+00 ## ## $DFOP -## Estimate Pr(>t) Lower Upper -## parent_0 1.05e+02 7.50e-13 NA NA -## k1 4.41e-02 3.34e-02 NA NA -## k2 7.25e-13 5.00e-01 NA NA -## g 3.22e-01 7.87e-03 NA NA +## Estimate Pr(>t) Lower Upper +## parent_0 1.05e+02 9.47e-13 99.9990 109.1224 +## k1 4.41e-02 5.95e-03 0.0296 0.0658 +## k2 9.20e-13 5.00e-01 0.0000 Inf +## g 3.22e-01 1.45e-03 0.2814 0.3650 +## sigma 3.22e+00 3.52e-04 1.8410 4.5906 ## ## ## DTx values: ## DT50 DT90 DT50_rep ## SFO 2.16e+02 7.18e+02 2.16e+02 ## IORE 9.73e+02 1.37e+08 4.11e+07 -## DFOP 4.21e+11 2.64e+12 9.56e+11 +## DFOP 3.31e+11 2.08e+12 7.53e+11 ## ## Representative half-life: ## [1] 41148169</code></pre> @@ -560,9 +576,14 @@ <div id="example-on-page-12-upper-panel" class="section level2"> <h2 class="hasAnchor"> <a href="#example-on-page-12-upper-panel" class="anchor"></a>Example on page 12, upper panel</h2> -<div class="sourceCode" id="cb64"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb64-1" title="1">p12a <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p12a"</span>]])</a></code></pre></div> +<div class="sourceCode" id="cb60"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb60-1" title="1">p12a <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p12a"</span>]])</a></code></pre></div> <pre><code>## Warning in summary.mkinfit(x): Could not estimate covariance matrix; ## singular system.</code></pre> +<pre><code>## Warning in sqrt(diag(covar)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in sqrt(diag(covar_notrans)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in sqrt(1/diag(V)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in cov2cor(ans$cov.unscaled): diag(.) had 0 or NA entries; non- +## finite result is doubtful</code></pre> <pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> <pre><code>## The half-life obtained from the IORE model may be used</code></pre> <div class="sourceCode" id="cb68"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb68-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p12a)</a></code></pre></div> @@ -578,21 +599,24 @@ ## Parameters: ## $SFO ## Estimate Pr(>t) Lower Upper -## parent_0 100.521 5.61e-12 91.687 109.355 -## k_parent_sink 0.124 7.24e-08 0.102 0.152 +## parent_0 100.521 8.75e-12 92.461 108.581 +## k_parent_sink 0.124 3.61e-08 0.104 0.148 +## sigma 7.048 1.28e-04 4.116 9.980 ## ## $IORE -## Estimate Pr(>t) Lower Upper -## parent_0 96.823 1.24e-13 91.5691 102.078 -## k__iore_parent_sink 2.436 3.89e-02 0.7854 7.556 -## N_parent 0.263 3.64e-02 -0.0288 0.554 +## Estimate Pr(>t) Lower Upper +## parent_0 96.823 NA NA NA +## k__iore_parent_sink 2.436 NA NA NA +## N_parent 0.263 NA NA NA +## sigma 3.965 NA NA NA ## ## $DFOP -## Estimate Pr(>t) Lower Upper -## parent_0 100.521 NA NA NA -## k1 0.124 NA NA NA -## k2 0.124 NA NA NA -## g 0.877 NA NA NA +## Estimate Pr(>t) Lower Upper +## parent_0 100.521 2.74e-10 92.2366 108.805 +## k1 0.124 5.43e-06 0.0959 0.161 +## k2 0.124 6.45e-02 0.0315 0.490 +## g 0.880 NaN NA NA +## sigma 7.048 2.50e-04 4.0349 10.061 ## ## ## DTx values: @@ -608,13 +632,19 @@ <h2 class="hasAnchor"> <a href="#example-on-page-12-lower-panel" class="anchor"></a>Example on page 12, lower panel</h2> <div class="sourceCode" id="cb71"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb71-1" title="1">p12b <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p12b"</span>]])</a></code></pre></div> -<pre><code>## Warning in summary.mkinfit(x): Could not estimate covariance matrix; -## singular system.</code></pre> +<pre><code>## Warning in sqrt(diag(covar)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in qt(alpha/2, rdf): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in qt(1 - alpha/2, rdf): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in sqrt(diag(covar_notrans)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in pt(abs(tval), rdf, lower.tail = FALSE): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in sqrt(1/diag(V)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in cov2cor(ans$cov.unscaled): diag(.) had 0 or NA entries; non- +## finite result is doubtful</code></pre> <pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> <pre><code>## The half-life obtained from the IORE model may be used</code></pre> -<div class="sourceCode" id="cb75"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb75-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p12b)</a></code></pre></div> +<div class="sourceCode" id="cb81"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb81-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p12b)</a></code></pre></div> <p><img src="NAFTA_examples_files/figure-html/p12b-1.png" width="700"></p> -<div class="sourceCode" id="cb76"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb76-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p12b)</a></code></pre></div> +<div class="sourceCode" id="cb82"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb82-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p12b)</a></code></pre></div> <pre><code>## Sums of squares: ## SFO IORE DFOP ## 58.90242 19.06353 58.90242 @@ -624,22 +654,25 @@ ## ## Parameters: ## $SFO -## Estimate Pr(>t) Lower Upper -## parent_0 97.6840 5.36e-05 86.3205 109.0475 -## k_parent_sink 0.0589 9.87e-04 0.0432 0.0803 +## Estimate Pr(>t) Lower Upper +## parent_0 97.6840 0.00039 85.9388 109.4292 +## k_parent_sink 0.0589 0.00261 0.0431 0.0805 +## sigma 3.4323 0.04356 -1.2377 8.1023 ## ## $IORE -## Estimate Pr(>t) Lower Upper -## parent_0 95.523 0.000386 84.0963 106.95 -## k__iore_parent_sink 0.333 0.170886 0.0103 10.80 -## N_parent 0.568 0.054881 -0.3161 1.45 +## Estimate Pr(>t) Lower Upper +## parent_0 95.523 0.0055 74.539157 116.51 +## k__iore_parent_sink 0.333 0.1433 0.000717 154.57 +## N_parent 0.568 0.0677 -0.989464 2.13 +## sigma 1.953 0.0975 -5.893100 9.80 ## ## $DFOP ## Estimate Pr(>t) Lower Upper -## parent_0 97.6840 NA NA NA -## k1 0.0589 NA NA NA -## k2 0.0589 NA NA NA -## g 0.6902 NA NA NA +## parent_0 97.6840 NaN NaN NaN +## k1 0.0589 NaN NA NA +## k2 0.0589 NaN NA NA +## g 0.8275 NaN NA NA +## sigma 3.4323 NaN NaN NaN ## ## ## DTx values: @@ -654,14 +687,12 @@ <div id="example-on-page-13" class="section level2"> <h2 class="hasAnchor"> <a href="#example-on-page-13" class="anchor"></a>Example on page 13</h2> -<div class="sourceCode" id="cb78"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb78-1" title="1">p13 <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p13"</span>]])</a></code></pre></div> -<pre><code>## Warning in summary.mkinfit(x): Could not estimate covariance matrix; -## singular system.</code></pre> +<div class="sourceCode" id="cb84"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb84-1" title="1">p13 <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p13"</span>]])</a></code></pre></div> <pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> <pre><code>## The half-life obtained from the IORE model may be used</code></pre> -<div class="sourceCode" id="cb82"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb82-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p13)</a></code></pre></div> +<div class="sourceCode" id="cb87"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb87-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p13)</a></code></pre></div> <p><img src="NAFTA_examples_files/figure-html/p13-1.png" width="700"></p> -<div class="sourceCode" id="cb83"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb83-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p13)</a></code></pre></div> +<div class="sourceCode" id="cb88"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb88-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p13)</a></code></pre></div> <pre><code>## Sums of squares: ## SFO IORE DFOP ## 174.5971 142.3951 174.5971 @@ -671,22 +702,25 @@ ## ## Parameters: ## $SFO -## Estimate Pr(>t) Lower Upper -## parent_0 92.73500 1.45e-17 89.3891 96.08094 -## k_parent_sink 0.00258 2.63e-09 0.0022 0.00303 +## Estimate Pr(>t) Lower Upper +## parent_0 92.73500 5.99e-17 89.61936 95.85065 +## k_parent_sink 0.00258 2.42e-09 0.00223 0.00299 +## sigma 3.41172 7.07e-05 2.05455 4.76888 ## ## $IORE -## Estimate Pr(>t) Lower Upper -## parent_0 91.6016 2.93e-16 88.08711 95.12 -## k__iore_parent_sink 0.0396 2.81e-01 0.00102 1.53 -## N_parent 0.3541 1.97e-01 -0.51943 1.23 +## Estimate Pr(>t) Lower Upper +## parent_0 91.6016 6.34e-16 88.53086 94.672 +## k__iore_parent_sink 0.0396 2.36e-01 0.00207 0.759 +## N_parent 0.3541 1.46e-01 -0.35153 1.060 +## sigma 3.0811 9.64e-05 1.84296 4.319 ## ## $DFOP -## Estimate Pr(>t) Lower Upper -## parent_0 92.73500 NA NA NA -## k1 0.00258 NA NA NA -## k2 0.00258 NA NA NA -## g 0.00442 NA NA NA +## Estimate Pr(>t) Lower Upper +## parent_0 92.73500 9.25e-15 8.95e+01 9.59e+01 +## k1 0.00258 4.28e-01 1.38e-08 4.82e+02 +## k2 0.00258 3.69e-08 2.20e-03 3.03e-03 +## g 0.00442 5.00e-01 0.00e+00 1.00e+00 +## sigma 3.41172 1.35e-04 2.02e+00 4.80e+00 ## ## ## DTx values: @@ -702,14 +736,16 @@ <div id="dt50-not-observed-in-the-study-and-dfop-problems-in-pestdf" class="section level1"> <h1 class="hasAnchor"> <a href="#dt50-not-observed-in-the-study-and-dfop-problems-in-pestdf" class="anchor"></a>DT50 not observed in the study and DFOP problems in PestDF</h1> -<div class="sourceCode" id="cb85"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb85-1" title="1">p14 <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p14"</span>]])</a></code></pre></div> -<pre><code>## Warning in summary.mkinfit(x): Could not estimate covariance matrix; -## singular system.</code></pre> +<div class="sourceCode" id="cb90"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb90-1" title="1">p14 <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p14"</span>]])</a></code></pre></div> +<pre><code>## Warning in sqrt(diag(covar)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in sqrt(1/diag(V)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in cov2cor(ans$cov.unscaled): diag(.) had 0 or NA entries; non- +## finite result is doubtful</code></pre> <pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> <pre><code>## The half-life obtained from the IORE model may be used</code></pre> -<div class="sourceCode" id="cb89"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb89-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p14)</a></code></pre></div> +<div class="sourceCode" id="cb96"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb96-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p14)</a></code></pre></div> <p><img src="NAFTA_examples_files/figure-html/p14-1.png" width="700"></p> -<div class="sourceCode" id="cb90"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb90-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p14)</a></code></pre></div> +<div class="sourceCode" id="cb97"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb97-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p14)</a></code></pre></div> <pre><code>## Sums of squares: ## SFO IORE DFOP ## 48.43249 28.67746 27.26248 @@ -720,28 +756,31 @@ ## Parameters: ## $SFO ## Estimate Pr(>t) Lower Upper -## parent_0 99.47124 1.71e-31 98.37313 1.01e+02 -## k_parent_sink 0.00279 2.22e-15 0.00255 3.05e-03 +## parent_0 99.47124 2.06e-30 98.42254 1.01e+02 +## k_parent_sink 0.00279 3.75e-15 0.00256 3.04e-03 +## sigma 1.55616 3.81e-06 1.03704 2.08e+00 ## ## $IORE -## Estimate Pr(>t) Lower Upper -## parent_0 1.00e+02 NA 9.93e+01 1.01e+02 -## k__iore_parent_sink 9.44e-08 NA 6.81e-11 1.31e-04 -## N_parent 3.31e+00 NA 1.69e+00 4.93e+00 +## Estimate Pr(>t) Lower Upper +## parent_0 1.00e+02 NA NaN NaN +## k__iore_parent_sink 9.44e-08 NA NaN NaN +## N_parent 3.31e+00 NA NaN NaN +## sigma 1.20e+00 NA 0.796 1.6 ## ## $DFOP -## Estimate Pr(>t) Lower Upper -## parent_0 1.00e+02 2.70e-28 NA NA -## k1 9.53e-03 3.39e-01 NA NA -## k2 9.19e-12 5.00e-01 NA NA -## g 3.98e-01 3.92e-01 NA NA +## Estimate Pr(>t) Lower Upper +## parent_0 1.00e+02 2.96e-28 99.40280 101.2768 +## k1 9.53e-03 1.20e-01 0.00638 0.0143 +## k2 6.17e-12 5.00e-01 0.00000 Inf +## g 3.98e-01 2.19e-01 0.30481 0.4998 +## sigma 1.17e+00 7.68e-06 0.77406 1.5610 ## ## ## DTx values: ## DT50 DT90 DT50_rep ## SFO 2.48e+02 8.25e+02 2.48e+02 ## IORE 4.34e+02 2.22e+04 6.70e+03 -## DFOP 2.02e+10 1.95e+11 7.54e+10 +## DFOP 3.00e+10 2.91e+11 1.12e+11 ## ## Representative half-life: ## [1] 6697.437</code></pre> @@ -750,14 +789,17 @@ <div id="n-is-less-than-1-and-dfop-fraction-parameter-is-below-zero" class="section level1"> <h1 class="hasAnchor"> <a href="#n-is-less-than-1-and-dfop-fraction-parameter-is-below-zero" class="anchor"></a>N is less than 1 and DFOP fraction parameter is below zero</h1> -<div class="sourceCode" id="cb92"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb92-1" title="1">p15a <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p15a"</span>]])</a></code></pre></div> -<pre><code>## Warning in summary.mkinfit(x): Could not estimate covariance matrix; -## singular system.</code></pre> +<div class="sourceCode" id="cb99"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb99-1" title="1">p15a <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p15a"</span>]])</a></code></pre></div> +<pre><code>## Warning in sqrt(diag(covar)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in sqrt(diag(covar_notrans)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in sqrt(1/diag(V)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in cov2cor(ans$cov.unscaled): diag(.) had 0 or NA entries; non- +## finite result is doubtful</code></pre> <pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> <pre><code>## The half-life obtained from the IORE model may be used</code></pre> -<div class="sourceCode" id="cb96"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb96-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p15a)</a></code></pre></div> +<div class="sourceCode" id="cb106"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb106-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p15a)</a></code></pre></div> <p><img src="NAFTA_examples_files/figure-html/p15a-1.png" width="700"></p> -<div class="sourceCode" id="cb97"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb97-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p15a)</a></code></pre></div> +<div class="sourceCode" id="cb107"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb107-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p15a)</a></code></pre></div> <pre><code>## Sums of squares: ## SFO IORE DFOP ## 245.5248 135.0132 245.5248 @@ -767,22 +809,25 @@ ## ## Parameters: ## $SFO -## Estimate Pr(>t) Lower Upper -## parent_0 97.96751 4.98e-16 94.03829 101.8967 -## k_parent_sink 0.00952 5.24e-09 0.00813 0.0112 +## Estimate Pr(>t) Lower Upper +## parent_0 97.96751 2.00e-15 94.32049 101.615 +## k_parent_sink 0.00952 4.93e-09 0.00824 0.011 +## sigma 4.18778 1.28e-04 2.44588 5.930 ## ## $IORE -## Estimate Pr(>t) Lower Upper -## parent_0 95.874 8.30e-16 92.5802 99.167 -## k__iore_parent_sink 0.629 2.39e-01 0.0316 12.519 -## N_parent 0.000 5.00e-01 -0.7219 0.722 +## Estimate Pr(>t) Lower Upper +## parent_0 95.874 2.94e-15 92.937 98.811 +## k__iore_parent_sink 0.629 2.11e-01 0.044 8.982 +## N_parent 0.000 5.00e-01 -0.642 0.642 +## sigma 3.105 1.78e-04 1.795 4.416 ## ## $DFOP -## Estimate Pr(>t) Lower Upper -## parent_0 97.96752 NA NA NA -## k1 0.00952 NA NA NA -## k2 0.00952 NA NA NA -## g 0.17247 NA NA NA +## Estimate Pr(>t) Lower Upper +## parent_0 97.96751 2.85e-13 94.21913 101.7159 +## k1 0.00952 5.68e-02 0.00262 0.0347 +## k2 0.00952 1.52e-04 0.00639 0.0142 +## g 0.22357 NaN NA NA +## sigma 4.18778 2.50e-04 2.39747 5.9781 ## ## ## DTx values: @@ -793,14 +838,12 @@ ## ## Representative half-life: ## [1] 41.32749</code></pre> -<div class="sourceCode" id="cb99"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb99-1" title="1">p15b <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p15b"</span>]])</a></code></pre></div> -<pre><code>## Warning in summary.mkinfit(x): Could not estimate covariance matrix; -## singular system.</code></pre> +<div class="sourceCode" id="cb109"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb109-1" title="1">p15b <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p15b"</span>]])</a></code></pre></div> <pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> <pre><code>## The half-life obtained from the IORE model may be used</code></pre> -<div class="sourceCode" id="cb103"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb103-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p15b)</a></code></pre></div> +<div class="sourceCode" id="cb112"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb112-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p15b)</a></code></pre></div> <p><img src="NAFTA_examples_files/figure-html/p15b-1.png" width="700"></p> -<div class="sourceCode" id="cb104"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb104-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p15b)</a></code></pre></div> +<div class="sourceCode" id="cb113"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb113-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p15b)</a></code></pre></div> <pre><code>## Sums of squares: ## SFO IORE DFOP ## 106.91629 68.55574 106.91629 @@ -811,21 +854,24 @@ ## Parameters: ## $SFO ## Estimate Pr(>t) Lower Upper -## parent_0 1.01e+02 4.99e-18 98.12761 1.04e+02 -## k_parent_sink 4.86e-03 1.76e-10 0.00432 5.46e-03 +## parent_0 1.01e+02 3.06e-17 98.31594 1.03e+02 +## k_parent_sink 4.86e-03 2.48e-10 0.00435 5.42e-03 +## sigma 2.76e+00 1.28e-04 1.61402 3.91e+00 ## ## $IORE -## Estimate Pr(>t) Lower Upper -## parent_0 99.83 4.49e-17 97.19753 102.5 -## k__iore_parent_sink 0.38 3.41e-01 0.00206 70.0 -## N_parent 0.00 5.00e-01 -1.20105 1.2 +## Estimate Pr(>t) Lower Upper +## parent_0 99.83 1.81e-16 97.51349 102.14 +## k__iore_parent_sink 0.38 3.22e-01 0.00352 41.05 +## N_parent 0.00 5.00e-01 -1.07695 1.08 +## sigma 2.21 2.57e-04 1.23245 3.19 ## ## $DFOP -## Estimate Pr(>t) Lower Upper -## parent_0 1.01e+02 NA NA NA -## k1 4.86e-03 NA NA NA -## k2 4.86e-03 NA NA NA -## g 1.50e-01 NA NA NA +## Estimate Pr(>t) Lower Upper +## parent_0 1.01e+02 NA 9.82e+01 1.04e+02 +## k1 4.86e-03 NA 6.49e-04 3.64e-02 +## k2 4.86e-03 NA 3.36e-03 7.03e-03 +## g 1.50e-01 NA 0.00e+00 1.00e+00 +## sigma 2.76e+00 NA 1.58e+00 3.94e+00 ## ## ## DTx values: @@ -841,14 +887,14 @@ <div id="the-dfop-fraction-parameter-is-greater-than-1" class="section level1"> <h1 class="hasAnchor"> <a href="#the-dfop-fraction-parameter-is-greater-than-1" class="anchor"></a>The DFOP fraction parameter is greater than 1</h1> -<div class="sourceCode" id="cb106"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb106-1" title="1">p16 <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p16"</span>]])</a></code></pre></div> +<div class="sourceCode" id="cb115"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb115-1" title="1">p16 <-<span class="st"> </span><span class="kw"><a href="../../reference/nafta.html">nafta</a></span>(NAFTA_SOP_Attachment[[<span class="st">"p16"</span>]])</a></code></pre></div> <pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> <pre><code>## The representative half-life of the IORE model is longer than the one corresponding</code></pre> <pre><code>## to the terminal degradation rate found with the DFOP model.</code></pre> <pre><code>## The representative half-life obtained from the DFOP model may be used</code></pre> -<div class="sourceCode" id="cb111"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb111-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p16)</a></code></pre></div> +<div class="sourceCode" id="cb120"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb120-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(p16)</a></code></pre></div> <p><img src="NAFTA_examples_files/figure-html/p16-1.png" width="700"></p> -<div class="sourceCode" id="cb112"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb112-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p16)</a></code></pre></div> +<div class="sourceCode" id="cb121"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb121-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(p16)</a></code></pre></div> <pre><code>## Sums of squares: ## SFO IORE DFOP ## 3831.804 2062.008 1550.980 @@ -858,22 +904,25 @@ ## ## Parameters: ## $SFO -## Estimate Pr(>t) Lower Upper -## parent_0 71.953 3.92e-14 61.087 82.819 -## k_parent_sink 0.159 2.27e-06 0.111 0.229 +## Estimate Pr(>t) Lower Upper +## parent_0 71.953 2.33e-13 60.509 83.40 +## k_parent_sink 0.159 4.86e-05 0.102 0.25 +## sigma 11.302 1.25e-08 8.308 14.30 ## ## $IORE ## Estimate Pr(>t) Lower Upper -## parent_0 8.74e+01 1.74e-16 7.71e+01 97.70701 -## k__iore_parent_sink 4.55e-04 2.28e-01 3.01e-05 0.00688 -## N_parent 2.70e+00 1.87e-08 1.97e+00 3.42611 +## parent_0 8.74e+01 2.48e-16 7.72e+01 97.52972 +## k__iore_parent_sink 4.55e-04 2.16e-01 3.48e-05 0.00595 +## N_parent 2.70e+00 1.21e-08 1.99e+00 3.40046 +## sigma 8.29e+00 1.61e-08 6.09e+00 10.49062 ## ## $DFOP -## Estimate Pr(>t) Lower Upper -## parent_0 88.5333 NA 79.3673 97.699 -## k1 18.5562 NA 0.0000 Inf -## k2 0.0776 NA 0.0471 0.128 -## g 0.4733 NA 0.3138 0.639 +## Estimate Pr(>t) Lower Upper +## parent_0 88.5333 7.40e-18 79.9836 97.083 +## k1 18.6317 5.00e-01 0.0000 Inf +## k2 0.0776 1.41e-05 0.0518 0.116 +## g 0.4733 1.41e-09 0.3674 0.582 +## sigma 7.1902 2.11e-08 5.2785 9.102 ## ## ## DTx values: diff --git a/docs/articles/web_only/NAFTA_examples_files/figure-html/p13-1.png b/docs/articles/web_only/NAFTA_examples_files/figure-html/p13-1.png Binary files differindex df60b257..5858c8f1 100644 --- a/docs/articles/web_only/NAFTA_examples_files/figure-html/p13-1.png +++ b/docs/articles/web_only/NAFTA_examples_files/figure-html/p13-1.png diff --git a/docs/articles/web_only/NAFTA_examples_files/figure-html/p14-1.png b/docs/articles/web_only/NAFTA_examples_files/figure-html/p14-1.png Binary files differindex 02975183..f0077768 100644 --- a/docs/articles/web_only/NAFTA_examples_files/figure-html/p14-1.png +++ b/docs/articles/web_only/NAFTA_examples_files/figure-html/p14-1.png diff --git a/docs/articles/web_only/NAFTA_examples_files/figure-html/p5a-1.png b/docs/articles/web_only/NAFTA_examples_files/figure-html/p5a-1.png Binary files differindex 3b39d9fa..0f01d16d 100644 --- a/docs/articles/web_only/NAFTA_examples_files/figure-html/p5a-1.png +++ b/docs/articles/web_only/NAFTA_examples_files/figure-html/p5a-1.png diff --git a/docs/articles/web_only/NAFTA_examples_files/figure-html/p9a-1.png b/docs/articles/web_only/NAFTA_examples_files/figure-html/p9a-1.png Binary files differindex 866f1523..3ef2018d 100644 --- a/docs/articles/web_only/NAFTA_examples_files/figure-html/p9a-1.png +++ b/docs/articles/web_only/NAFTA_examples_files/figure-html/p9a-1.png diff --git a/docs/articles/web_only/NAFTA_examples_files/figure-html/p9b-1.png b/docs/articles/web_only/NAFTA_examples_files/figure-html/p9b-1.png Binary files differindex 7f99d9cd..fe37b65c 100644 --- a/docs/articles/web_only/NAFTA_examples_files/figure-html/p9b-1.png +++ b/docs/articles/web_only/NAFTA_examples_files/figure-html/p9b-1.png diff --git a/docs/articles/web_only/benchmarks.html b/docs/articles/web_only/benchmarks.html new file mode 100644 index 00000000..403cb1db --- /dev/null +++ b/docs/articles/web_only/benchmarks.html @@ -0,0 +1,292 @@ +<!DOCTYPE html> +<!-- Generated by pkgdown: do not edit by hand --><html lang="en"> +<head> +<meta http-equiv="Content-Type" content="text/html; charset=UTF-8"> +<meta charset="utf-8"> +<meta http-equiv="X-UA-Compatible" content="IE=edge"> +<meta name="viewport" content="width=device-width, initial-scale=1.0"> +<title>Benchmark timings for mkin on various systems • mkin</title> +<!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.3.1/jquery.min.js" integrity="sha256-FgpCb/KJQlLNfOu91ta32o/NMZxltwRo8QtmkMRdAu8=" crossorigin="anonymous"></script><!-- Bootstrap --><link 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</header><div class="row"> + <div class="col-md-9 contents"> + <div class="page-header toc-ignore"> + <h1>Benchmark timings for mkin on various systems</h1> + <h4 class="author">Johannes Ranke</h4> + + <h4 class="date">2019-04-10</h4> + + + <div class="hidden name"><code>benchmarks.Rmd</code></div> + + </div> + + + +<div id="systems" class="section level2"> +<h2 class="hasAnchor"> +<a href="#systems" class="anchor"></a>Systems</h2> +<p>Each system is characterized by its CPU type, the operating system type and the mkin version.</p> +<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" title="1">cpu_model <-<span class="st"> </span>benchmarkme<span class="op">::</span><span class="kw"><a href="https://www.rdocumentation.org/packages/benchmarkme/topics/get_cpu">get_cpu</a></span>()<span class="op">$</span>model_name</a> +<a class="sourceLine" id="cb1-2" title="2">operating_system <-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/Sys.info">Sys.info</a></span>()[[<span class="st">"sysname"</span>]]</a> +<a class="sourceLine" id="cb1-3" title="3">mkin_version <-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/character">as.character</a></span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/utils/topics/packageDescription">packageVersion</a></span>(<span class="st">"mkin"</span>))</a> +<a class="sourceLine" id="cb1-4" title="4">system_string <-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/paste">paste0</a></span>(operating_system, <span class="st">", "</span>, cpu_model, <span class="st">", mkin version "</span>, mkin_version)</a> +<a class="sourceLine" id="cb1-5" title="5"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/load">load</a></span>(<span class="st">"~/git/mkin/inst/benchmark_data/mkin_benchmarks.rda"</span>)</a> +<a class="sourceLine" id="cb1-6" title="6">mkin_benchmarks[system_string, <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="st">"CPU"</span>, <span class="st">"OS"</span>, <span class="st">"mkin"</span>)] <-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(cpu_model, operating_system, mkin_version)</a> +<a class="sourceLine" id="cb1-7" title="7"></a> +<a class="sourceLine" id="cb1-8" title="8"><span class="cf">if</span> (mkin_version <span class="op">></span><span class="st"> "0.9.48.1"</span>) {</a> +<a class="sourceLine" id="cb1-9" title="9"> mmkin_bench <-<span class="st"> </span><span class="cf">function</span>(models, datasets, <span class="dt">error_model =</span> <span class="st">"const"</span>) <span class="kw"><a href="../../reference/mmkin.html">mmkin</a></span>(models, datasets, <span class="dt">error_model =</span> error_model, <span class="dt">cores =</span> <span class="dv">1</span>, <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a> +<a class="sourceLine" id="cb1-10" title="10">} <span class="cf">else</span> {</a> +<a class="sourceLine" id="cb1-11" title="11"> mmkin_bench <-<span class="st"> </span><span class="cf">function</span>(models, datasets, <span class="dt">error_model =</span> <span class="ot">NULL</span>) <span class="kw"><a href="../../reference/mmkin.html">mmkin</a></span>(models, datasets, <span class="dt">reweight.method =</span> error_model, <span class="dt">cores =</span> <span class="dv">1</span>, <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a> +<a class="sourceLine" id="cb1-12" title="12">}</a></code></pre></div> +<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb2-1" title="1"><span class="co"># Parent only</span></a> +<a class="sourceLine" id="cb2-2" title="2">t1 <-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/system.time">system.time</a></span>(<span class="kw">mmkin_bench</span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="st">"SFO"</span>, <span class="st">"FOMC"</span>, <span class="st">"DFOP"</span>, <span class="st">"HS"</span>), <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/list">list</a></span>(FOCUS_<span class="dv">2006</span>_C, FOCUS_<span class="dv">2006</span>_D)))[[<span class="st">"elapsed"</span>]]</a> +<a class="sourceLine" id="cb2-3" title="3">t2 <-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/system.time">system.time</a></span>(<span class="kw">mmkin_bench</span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="st">"SFO"</span>, <span class="st">"FOMC"</span>, <span class="st">"DFOP"</span>, <span class="st">"HS"</span>), <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/list">list</a></span>(FOCUS_<span class="dv">2006</span>_C, FOCUS_<span class="dv">2006</span>_D), <span class="dt">error_model =</span> <span class="st">"tc"</span>))[[<span class="st">"elapsed"</span>]]</a> +<a class="sourceLine" id="cb2-4" title="4"></a> +<a class="sourceLine" id="cb2-5" title="5"><span class="co"># One metabolite</span></a> +<a class="sourceLine" id="cb2-6" title="6">SFO_SFO <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinmod.html">mkinmod</a></span>(</a> +<a class="sourceLine" id="cb2-7" title="7"> <span class="dt">parent =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"m1"</span>),</a> +<a class="sourceLine" id="cb2-8" title="8"> <span class="dt">m1 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>))</a></code></pre></div> +<pre><code>## Successfully compiled differential equation model from auto-generated C code.</code></pre> +<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb4-1" title="1">FOMC_SFO <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinmod.html">mkinmod</a></span>(</a> +<a class="sourceLine" id="cb4-2" title="2"> <span class="dt">parent =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"FOMC"</span>, <span class="st">"m1"</span>),</a> +<a class="sourceLine" id="cb4-3" title="3"> <span class="dt">m1 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>))</a></code></pre></div> +<pre><code>## Successfully compiled differential equation model from auto-generated C code.</code></pre> +<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb6-1" title="1">DFOP_SFO <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinmod.html">mkinmod</a></span>(</a> +<a class="sourceLine" id="cb6-2" title="2"> <span class="dt">parent =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"FOMC"</span>, <span class="st">"m1"</span>),</a> +<a class="sourceLine" id="cb6-3" title="3"> <span class="dt">m1 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>))</a></code></pre></div> +<pre><code>## Successfully compiled differential equation model from auto-generated C code.</code></pre> +<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb8-1" title="1">t3 <-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/system.time">system.time</a></span>(<span class="kw">mmkin_bench</span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/list">list</a></span>(SFO_SFO, FOMC_SFO, DFOP_SFO), <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/list">list</a></span>(FOCUS_<span class="dv">2006</span>_D)))[[<span class="st">"elapsed"</span>]]</a></code></pre></div> +<pre><code>## Warning in mkinfit(models[[model_index]], datasets[[dataset_index]], ...): +## Observations with value of zero were removed from the data + +## Warning in mkinfit(models[[model_index]], datasets[[dataset_index]], ...): +## Observations with value of zero were removed from the data + +## Warning in mkinfit(models[[model_index]], datasets[[dataset_index]], ...): +## Observations with value of zero were removed from the data</code></pre> +<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb10-1" title="1">t4 <-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/system.time">system.time</a></span>(<span class="kw">mmkin_bench</span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/list">list</a></span>(SFO_SFO, FOMC_SFO, DFOP_SFO), <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/list">list</a></span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/subset">subset</a></span>(FOCUS_<span class="dv">2006</span>_D, value <span class="op">!=</span><span class="st"> </span><span class="dv">0</span>)), <span class="dt">error_model =</span> <span class="st">"tc"</span>))[[<span class="st">"elapsed"</span>]]</a> +<a class="sourceLine" id="cb10-2" title="2">t5 <-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/system.time">system.time</a></span>(<span class="kw">mmkin_bench</span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/list">list</a></span>(SFO_SFO, FOMC_SFO, DFOP_SFO), <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/list">list</a></span>(FOCUS_<span class="dv">2006</span>_D), <span class="dt">error_model =</span> <span class="st">"obs"</span>))[[<span class="st">"elapsed"</span>]]</a></code></pre></div> +<pre><code>## Warning in mkinfit(models[[model_index]], datasets[[dataset_index]], ...): +## Observations with value of zero were removed from the data + +## Warning in mkinfit(models[[model_index]], datasets[[dataset_index]], ...): +## Observations with value of zero were removed from the data + +## Warning in mkinfit(models[[model_index]], datasets[[dataset_index]], ...): +## Observations with value of zero were removed from the data</code></pre> +<div class="sourceCode" id="cb12"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb12-1" title="1"><span class="co"># Two metabolites, synthetic data</span></a> +<a class="sourceLine" id="cb12-2" title="2">m_synth_SFO_lin <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinmod.html">mkinmod</a></span>(<span class="dt">parent =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"M1"</span>),</a> +<a class="sourceLine" id="cb12-3" title="3"> <span class="dt">M1 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"M2"</span>),</a> +<a class="sourceLine" id="cb12-4" title="4"> <span class="dt">M2 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>),</a> +<a class="sourceLine" id="cb12-5" title="5"> <span class="dt">use_of_ff =</span> <span class="st">"max"</span>, <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a> +<a class="sourceLine" id="cb12-6" title="6"></a> +<a class="sourceLine" id="cb12-7" title="7">m_synth_DFOP_par <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinmod.html">mkinmod</a></span>(<span class="dt">parent =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"DFOP"</span>, <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="st">"M1"</span>, <span class="st">"M2"</span>)),</a> +<a class="sourceLine" id="cb12-8" title="8"> <span class="dt">M1 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>),</a> +<a class="sourceLine" id="cb12-9" title="9"> <span class="dt">M2 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>),</a> +<a class="sourceLine" id="cb12-10" title="10"> <span class="dt">use_of_ff =</span> <span class="st">"max"</span>, <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a> +<a class="sourceLine" id="cb12-11" title="11"></a> +<a class="sourceLine" id="cb12-12" title="12">SFO_lin_a <-<span class="st"> </span>synthetic_data_for_UBA_<span class="dv">2014</span>[[<span class="dv">1</span>]]<span class="op">$</span>data</a> +<a class="sourceLine" id="cb12-13" title="13"></a> +<a class="sourceLine" id="cb12-14" title="14">DFOP_par_c <-<span class="st"> </span>synthetic_data_for_UBA_<span class="dv">2014</span>[[<span class="dv">12</span>]]<span class="op">$</span>data</a> +<a class="sourceLine" id="cb12-15" title="15"></a> +<a class="sourceLine" id="cb12-16" title="16">t6 <-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/system.time">system.time</a></span>(<span class="kw">mmkin_bench</span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/list">list</a></span>(m_synth_SFO_lin), <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/list">list</a></span>(SFO_lin_a)))[<span class="st">"elapsed"</span>]</a> +<a class="sourceLine" id="cb12-17" title="17">t7 <-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/system.time">system.time</a></span>(<span class="kw">mmkin_bench</span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/list">list</a></span>(m_synth_DFOP_par), <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/list">list</a></span>(DFOP_par_c)))[<span class="st">"elapsed"</span>]</a> +<a class="sourceLine" id="cb12-18" title="18"></a> +<a class="sourceLine" id="cb12-19" title="19">t8 <-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/system.time">system.time</a></span>(<span class="kw">mmkin_bench</span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/list">list</a></span>(m_synth_SFO_lin), <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/list">list</a></span>(SFO_lin_a), <span class="dt">error_model =</span> <span class="st">"tc"</span>))[<span class="st">"elapsed"</span>]</a> +<a class="sourceLine" id="cb12-20" title="20">t9 <-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/system.time">system.time</a></span>(<span class="kw">mmkin_bench</span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/list">list</a></span>(m_synth_DFOP_par), <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/list">list</a></span>(DFOP_par_c), <span class="dt">error_model =</span> <span class="st">"tc"</span>))[<span class="st">"elapsed"</span>]</a> +<a class="sourceLine" id="cb12-21" title="21"></a> +<a class="sourceLine" id="cb12-22" title="22">t10 <-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/system.time">system.time</a></span>(<span class="kw">mmkin_bench</span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/list">list</a></span>(m_synth_SFO_lin), <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/list">list</a></span>(SFO_lin_a), <span class="dt">error_model =</span> <span class="st">"obs"</span>))[<span class="st">"elapsed"</span>]</a> +<a class="sourceLine" id="cb12-23" title="23">t11 <-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/system.time">system.time</a></span>(<span class="kw">mmkin_bench</span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/list">list</a></span>(m_synth_DFOP_par), <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/list">list</a></span>(DFOP_par_c), <span class="dt">error_model =</span> <span class="st">"obs"</span>))[<span class="st">"elapsed"</span>]</a> +<a class="sourceLine" id="cb12-24" title="24"></a> +<a class="sourceLine" id="cb12-25" title="25">mkin_benchmarks[system_string, <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/paste">paste0</a></span>(<span class="st">"t"</span>, <span class="dv">1</span><span class="op">:</span><span class="dv">11</span>)] <-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(t1, t2, t3, t4, t5, t6, t7, t8, t9, t10, t11)</a> +<a class="sourceLine" id="cb12-26" title="26">mkin_benchmarks</a></code></pre></div> +<pre><code>## CPU +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.48.1 AMD Ryzen 7 1700 Eight-Core Processor +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.1 AMD Ryzen 7 1700 Eight-Core Processor +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.2 AMD Ryzen 7 1700 Eight-Core Processor +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.3 AMD Ryzen 7 1700 Eight-Core Processor +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.4 AMD Ryzen 7 1700 Eight-Core Processor +## OS +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.48.1 Linux +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.1 Linux +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.2 Linux +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.3 Linux +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.4 Linux +## mkin +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.48.1 0.9.48.1 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.1 0.9.49.1 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.2 0.9.49.2 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.3 0.9.49.3 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.4 0.9.49.4 +## t1 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.48.1 3.610 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.1 8.184 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.2 7.064 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.3 7.296 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.4 6.303 +## t2 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.48.1 11.019 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.1 22.889 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.2 12.558 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.3 21.239 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.4 21.837 +## t3 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.48.1 3.764 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.1 4.649 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.2 4.786 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.3 4.510 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.4 4.487 +## t4 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.48.1 14.347 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.1 13.789 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.2 8.461 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.3 13.805 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.4 14.162 +## t5 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.48.1 9.495 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.1 6.395 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.2 5.675 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.3 7.386 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.4 6.021 +## t6 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.48.1 2.623 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.1 2.542 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.2 2.723 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.3 2.643 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.4 2.657 +## t7 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.48.1 4.587 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.1 4.128 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.2 4.478 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.3 4.374 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.4 4.523 +## t8 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.48.1 7.525 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.1 4.632 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.2 4.862 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.3 7.02 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.4 4.72 +## t9 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.48.1 16.621 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.1 8.171 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.2 7.618 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.3 11.124 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.4 8.364 +## t10 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.48.1 8.576 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.1 3.676 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.2 3.579 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.3 5.388 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.4 3.623 +## t11 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.48.1 31.267 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.1 5.636 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.2 5.574 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.3 7.365 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.4 5.95</code></pre> +<div class="sourceCode" id="cb14"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb14-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/save">save</a></span>(mkin_benchmarks, <span class="dt">file =</span> <span class="st">"~/git/mkin/inst/benchmark_data/mkin_benchmarks.rda"</span>)</a></code></pre></div> +</div> + </div> + + <div class="col-md-3 hidden-xs hidden-sm" id="sidebar"> + <div id="tocnav"> + <h2 class="hasAnchor"> +<a href="#tocnav" class="anchor"></a>Contents</h2> + <ul class="nav nav-pills nav-stacked"> +<li><a href="#systems">Systems</a></li> + </ul> +</div> + </div> + +</div> + + + <footer><div class="copyright"> + <p>Developed by Johannes Ranke.</p> +</div> + +<div class="pkgdown"> + <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.3.0.9000.</p> +</div> + </footer> +</div> + + + + </body> +</html> diff --git a/docs/articles/web_only/compiled_models.html b/docs/articles/web_only/compiled_models.html index 269b1098..597b7c55 100644 --- a/docs/articles/web_only/compiled_models.html +++ b/docs/articles/web_only/compiled_models.html @@ -30,7 +30,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -88,7 +88,7 @@ <h1>Performance benefit by using compiled model definitions in mkin</h1> <h4 class="author">Johannes Ranke</h4> - <h4 class="date">2019-03-04</h4> + <h4 class="date">2019-04-10</h4> <div class="hidden name"><code>compiled_models.Rmd</code></div> @@ -125,49 +125,103 @@ <a class="sourceLine" id="cb5-12" title="12"> factor_SFO_SFO <-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/Round">round</a></span>(b<span class="fl">.1</span>[<span class="st">"1"</span>, <span class="st">"relative"</span>])</a> <a class="sourceLine" id="cb5-13" title="13">} <span class="cf">else</span> {</a> <a class="sourceLine" id="cb5-14" title="14"> factor_SFO_SFO <-<span class="st"> </span><span class="ot">NA</span></a> -<a class="sourceLine" id="cb5-15" title="15"> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(<span class="st">"R package benchmark is not available"</span>)</a> +<a class="sourceLine" id="cb5-15" title="15"> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(<span class="st">"R package rbenchmark is not available"</span>)</a> <a class="sourceLine" id="cb5-16" title="16">}</a></code></pre></div> <pre><code>## Lade nötiges Paket: rbenchmark</code></pre> +<pre><code>## Warning in mkinfit(SFO_SFO, FOCUS_2006_D, solution_type = "deSolve", +## use_compiled = FALSE, : Observations with value of zero were removed from +## the data</code></pre> +<pre><code>## Warning in mkinfit(SFO_SFO, FOCUS_2006_D, solution_type = "eigen", quiet = +## TRUE): Observations with value of zero were removed from the data</code></pre> +<pre><code>## Warning in mkinfit(SFO_SFO, FOCUS_2006_D, solution_type = "deSolve", quiet +## = TRUE): Observations with value of zero were removed from the data</code></pre> +<pre><code>## Warning in mkinfit(SFO_SFO, FOCUS_2006_D, solution_type = "deSolve", +## use_compiled = FALSE, : Observations with value of zero were removed from +## the data + +## Warning in mkinfit(SFO_SFO, FOCUS_2006_D, solution_type = "deSolve", +## use_compiled = FALSE, : Observations with value of zero were removed from +## the data + +## Warning in mkinfit(SFO_SFO, FOCUS_2006_D, solution_type = "deSolve", +## use_compiled = FALSE, : Observations with value of zero were removed from +## the data</code></pre> +<pre><code>## Warning in mkinfit(SFO_SFO, FOCUS_2006_D, solution_type = "eigen", quiet = +## TRUE): Observations with value of zero were removed from the data + +## Warning in mkinfit(SFO_SFO, FOCUS_2006_D, solution_type = "eigen", quiet = +## TRUE): Observations with value of zero were removed from the data + +## Warning in mkinfit(SFO_SFO, FOCUS_2006_D, solution_type = "eigen", quiet = +## TRUE): Observations with value of zero were removed from the data</code></pre> +<pre><code>## Warning in mkinfit(SFO_SFO, FOCUS_2006_D, solution_type = "deSolve", quiet +## = TRUE): Observations with value of zero were removed from the data + +## Warning in mkinfit(SFO_SFO, FOCUS_2006_D, solution_type = "deSolve", quiet +## = TRUE): Observations with value of zero were removed from the data + +## Warning in mkinfit(SFO_SFO, FOCUS_2006_D, solution_type = "deSolve", quiet +## = TRUE): Observations with value of zero were removed from the data</code></pre> <pre><code>## test replications elapsed relative user.self sys.self -## 3 deSolve, compiled 3 2.310 1.000 2.308 0 -## 1 deSolve, not compiled 3 17.509 7.580 17.500 0 -## 2 Eigenvalue based 3 2.859 1.238 2.858 0 +## 3 deSolve, compiled 3 3.215 1.000 3.213 0 +## 1 deSolve, not compiled 3 42.468 13.209 42.445 0 +## 2 Eigenvalue based 3 4.666 1.451 4.663 0 ## user.child sys.child ## 3 0 0 ## 1 0 0 ## 2 0 0</code></pre> -<p>We see that using the compiled model is by a factor of around 8 faster than using the R version with the default ode solver, and it is even faster than the Eigenvalue based solution implemented in R which does not need iterative solution of the ODEs.</p> +<p>We see that using the compiled model is by a factor of around 13 faster than using the R version with the default ode solver, and it is even faster than the Eigenvalue based solution implemented in R which does not need iterative solution of the ODEs.</p> </div> <div id="model-that-can-not-be-solved-with-eigenvalues" class="section level2"> <h2 class="hasAnchor"> <a href="#model-that-can-not-be-solved-with-eigenvalues" class="anchor"></a>Model that can not be solved with Eigenvalues</h2> <p>This evaluation is also taken from the example section of mkinfit.</p> -<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb8-1" title="1"><span class="cf">if</span> (<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/library">require</a></span>(rbenchmark)) {</a> -<a class="sourceLine" id="cb8-2" title="2"> FOMC_SFO <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinmod.html">mkinmod</a></span>(</a> -<a class="sourceLine" id="cb8-3" title="3"> <span class="dt">parent =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"FOMC"</span>, <span class="st">"m1"</span>),</a> -<a class="sourceLine" id="cb8-4" title="4"> <span class="dt">m1 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>( <span class="st">"SFO"</span>))</a> -<a class="sourceLine" id="cb8-5" title="5"></a> -<a class="sourceLine" id="cb8-6" title="6"> b<span class="fl">.2</span> <-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/rbenchmark/topics/benchmark">benchmark</a></span>(</a> -<a class="sourceLine" id="cb8-7" title="7"> <span class="st">"deSolve, not compiled"</span> =<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(FOMC_SFO, FOCUS_<span class="dv">2006</span>_D,</a> -<a class="sourceLine" id="cb8-8" title="8"> <span class="dt">use_compiled =</span> <span class="ot">FALSE</span>, <span class="dt">quiet =</span> <span class="ot">TRUE</span>),</a> -<a class="sourceLine" id="cb8-9" title="9"> <span class="st">"deSolve, compiled"</span> =<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(FOMC_SFO, FOCUS_<span class="dv">2006</span>_D, <span class="dt">quiet =</span> <span class="ot">TRUE</span>),</a> -<a class="sourceLine" id="cb8-10" title="10"> <span class="dt">replications =</span> <span class="dv">3</span>)</a> -<a class="sourceLine" id="cb8-11" title="11"> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(b<span class="fl">.2</span>)</a> -<a class="sourceLine" id="cb8-12" title="12"> factor_FOMC_SFO <-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/Round">round</a></span>(b<span class="fl">.2</span>[<span class="st">"1"</span>, <span class="st">"relative"</span>])</a> -<a class="sourceLine" id="cb8-13" title="13">} <span class="cf">else</span> {</a> -<a class="sourceLine" id="cb8-14" title="14"> factor_FOMC_SFO <-<span class="st"> </span><span class="ot">NA</span></a> -<a class="sourceLine" id="cb8-15" title="15"> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(<span class="st">"R package benchmark is not available"</span>)</a> -<a class="sourceLine" id="cb8-16" title="16">}</a></code></pre></div> +<div class="sourceCode" id="cb14"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb14-1" title="1"><span class="cf">if</span> (<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/library">require</a></span>(rbenchmark)) {</a> +<a class="sourceLine" id="cb14-2" title="2"> FOMC_SFO <-<span class="st"> </span><span class="kw"><a href="../../reference/mkinmod.html">mkinmod</a></span>(</a> +<a class="sourceLine" id="cb14-3" title="3"> <span class="dt">parent =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"FOMC"</span>, <span class="st">"m1"</span>),</a> +<a class="sourceLine" id="cb14-4" title="4"> <span class="dt">m1 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>( <span class="st">"SFO"</span>))</a> +<a class="sourceLine" id="cb14-5" title="5"></a> +<a class="sourceLine" id="cb14-6" title="6"> b<span class="fl">.2</span> <-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/rbenchmark/topics/benchmark">benchmark</a></span>(</a> +<a class="sourceLine" id="cb14-7" title="7"> <span class="st">"deSolve, not compiled"</span> =<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(FOMC_SFO, FOCUS_<span class="dv">2006</span>_D,</a> +<a class="sourceLine" id="cb14-8" title="8"> <span class="dt">use_compiled =</span> <span class="ot">FALSE</span>, <span class="dt">quiet =</span> <span class="ot">TRUE</span>),</a> +<a class="sourceLine" id="cb14-9" title="9"> <span class="st">"deSolve, compiled"</span> =<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(FOMC_SFO, FOCUS_<span class="dv">2006</span>_D, <span class="dt">quiet =</span> <span class="ot">TRUE</span>),</a> +<a class="sourceLine" id="cb14-10" title="10"> <span class="dt">replications =</span> <span class="dv">3</span>)</a> +<a class="sourceLine" id="cb14-11" title="11"> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(b<span class="fl">.2</span>)</a> +<a class="sourceLine" id="cb14-12" title="12"> factor_FOMC_SFO <-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/Round">round</a></span>(b<span class="fl">.2</span>[<span class="st">"1"</span>, <span class="st">"relative"</span>])</a> +<a class="sourceLine" id="cb14-13" title="13">} <span class="cf">else</span> {</a> +<a class="sourceLine" id="cb14-14" title="14"> factor_FOMC_SFO <-<span class="st"> </span><span class="ot">NA</span></a> +<a class="sourceLine" id="cb14-15" title="15"> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(<span class="st">"R package benchmark is not available"</span>)</a> +<a class="sourceLine" id="cb14-16" title="16">}</a></code></pre></div> <pre><code>## Successfully compiled differential equation model from auto-generated C code.</code></pre> +<pre><code>## Warning in mkinfit(FOMC_SFO, FOCUS_2006_D, use_compiled = FALSE, quiet = +## TRUE): Observations with value of zero were removed from the data</code></pre> +<pre><code>## Warning in mkinfit(FOMC_SFO, FOCUS_2006_D, quiet = TRUE): Observations with +## value of zero were removed from the data</code></pre> +<pre><code>## Warning in mkinfit(FOMC_SFO, FOCUS_2006_D, use_compiled = FALSE, quiet = +## TRUE): Observations with value of zero were removed from the data + +## Warning in mkinfit(FOMC_SFO, FOCUS_2006_D, use_compiled = FALSE, quiet = +## TRUE): Observations with value of zero were removed from the data + +## Warning in mkinfit(FOMC_SFO, FOCUS_2006_D, use_compiled = FALSE, quiet = +## TRUE): Observations with value of zero were removed from the data</code></pre> +<pre><code>## Warning in mkinfit(FOMC_SFO, FOCUS_2006_D, quiet = TRUE): Observations with +## value of zero were removed from the data + +## Warning in mkinfit(FOMC_SFO, FOCUS_2006_D, quiet = TRUE): Observations with +## value of zero were removed from the data + +## Warning in mkinfit(FOMC_SFO, FOCUS_2006_D, quiet = TRUE): Observations with +## value of zero were removed from the data</code></pre> <pre><code>## test replications elapsed relative user.self sys.self -## 2 deSolve, compiled 3 4.074 1.000 4.072 0 -## 1 deSolve, not compiled 3 37.219 9.136 37.203 0 +## 2 deSolve, compiled 3 4.906 1.000 4.902 0 +## 1 deSolve, not compiled 3 70.459 14.362 70.421 0 ## user.child sys.child ## 2 0 0 ## 1 0 0</code></pre> -<p>Here we get a performance benefit of a factor of 9 using the version of the differential equation model compiled from C code!</p> -<p>This vignette was built with mkin 0.9.48.1 on</p> -<pre><code>## R version 3.5.2 (2018-12-20) +<p>Here we get a performance benefit of a factor of 14 using the version of the differential equation model compiled from C code!</p> +<p>This vignette was built with mkin 0.9.49.4 on</p> +<pre><code>## R version 3.5.3 (2019-03-11) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Debian GNU/Linux 9 (stretch)</code></pre> <pre><code>## CPU model: AMD Ryzen 7 1700 Eight-Core Processor</code></pre> diff --git a/docs/authors.html b/docs/authors.html index d3516580..9d47c66a 100644 --- a/docs/authors.html +++ b/docs/authors.html @@ -60,7 +60,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> diff --git a/docs/index.html b/docs/index.html index f7e4c6c8..2f494511 100644 --- a/docs/index.html +++ b/docs/index.html @@ -37,7 +37,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> diff --git a/docs/news/index.html b/docs/news/index.html index cb56adf5..aad50dce 100644 --- a/docs/news/index.html +++ b/docs/news/index.html @@ -60,7 +60,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -122,9 +122,24 @@ </div> + <div id="mkin-0-9-49-4-2019-04-09" class="section level1"> +<h1 class="page-header"> +<a href="#mkin-0-9-49-4-2019-04-09" class="anchor"></a>mkin 0.9.49.4 (2019-04-09)<small> Unreleased </small> +</h1> +<ul> +<li><p>Direct minimization of the negative log-likelihood for non-constant error models (two-component and variance by variable). In the case the error model is constant variance, least squares is used as this is more stable</p></li> +<li><p>The argument ‘reweight.method’ to mkinfit and mmkin is now obsolete, use ‘error_model’ instead</p></li> +<li><p>Remove dependency on FME, only use nlminb for optimisation</p></li> +<li><p>Use the numDeriv package to calculate hessians</p></li> +<li><p>Add a benchmark vignette to document the impact on performance. For very simple fits, the new code is a bit slower, presumably because of the time it takes to calculate the hessian matrices with and without parameter transformation</p></li> +<li><p>The code for manual weighting was removed</p></li> +<li><p>The fitting time reported in the summary now includes the calculation of the hessians</p></li> +<li><p>Adapt tests</p></li> +</ul> +</div> <div id="mkin-0-9-48-1-2019-03-04" class="section level1"> <h1 class="page-header"> -<a href="#mkin-0-9-48-1-2019-03-04" class="anchor"></a>mkin 0.9.48.1 (2019-03-04)<small> Unreleased </small> +<a href="#mkin-0-9-48-1-2019-03-04" class="anchor"></a>mkin 0.9.48.1 (2019-03-04)<small> 2019-03-04 </small> </h1> <ul> <li><p>Add the function ‘logLik.mkinfit’ which makes it possible to calculate an AIC for mkinfit objects</p></li> @@ -680,6 +695,7 @@ <div id="tocnav"> <h2>Contents</h2> <ul class="nav nav-pills nav-stacked"> + <li><a href="#mkin-0-9-49-4-2019-04-09">0.9.49.4</a></li> <li><a href="#mkin-0-9-48-1-2019-03-04">0.9.48.1</a></li> <li><a href="#mkin-0-9-47-5-2018-09-14">0.9.47.5</a></li> <li><a href="#mkin-0-9-47-3">0.9.47.3</a></li> diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml index 85d3ba48..eda9c58f 100644 --- a/docs/pkgdown.yml +++ b/docs/pkgdown.yml @@ -8,5 +8,6 @@ articles: twa: twa.html FOCUS_Z: web_only/FOCUS_Z.html NAFTA_examples: web_only/NAFTA_examples.html + benchmarks: web_only/benchmarks.html compiled_models: web_only/compiled_models.html diff --git a/docs/reference/AIC.mmkin.html b/docs/reference/AIC.mmkin.html index 1224fbe6..d5386145 100644 --- a/docs/reference/AIC.mmkin.html +++ b/docs/reference/AIC.mmkin.html @@ -64,7 +64,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -163,22 +163,22 @@ <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2> <pre class="examples"><div class='input'> <span class='no'>f</span> <span class='kw'><-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span>(<span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='st'>"SFO"</span>, <span class='st'>"FOMC"</span>, <span class='st'>"DFOP"</span>), <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/list'>list</a></span>(<span class='st'>"FOCUS A"</span> <span class='kw'>=</span> <span class='no'>FOCUS_2006_A</span>, - <span class='st'>"FOCUS C"</span> <span class='kw'>=</span> <span class='no'>FOCUS_2006_C</span>), <span class='kw'>cores</span> <span class='kw'>=</span> <span class='fl'>1</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='output co'>#> <span class='warning'>Warning: Optimisation by method Port did not converge:</span> -#> <span class='warning'>false convergence (8)</span></div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/AIC'>AIC</a></span>(<span class='no'>f</span>[<span class='fl'>1</span>, <span class='st'>"FOCUS A"</span>]) <span class='co'># We get a single number for a single fit</span></div><div class='output co'>#> [1] 55.32452</div><div class='input'> + <span class='st'>"FOCUS C"</span> <span class='kw'>=</span> <span class='no'>FOCUS_2006_C</span>), <span class='kw'>cores</span> <span class='kw'>=</span> <span class='fl'>1</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='output co'>#> <span class='warning'>Warning: Optimisation did not converge:</span> +#> <span class='warning'>false convergence (8)</span></div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/AIC'>AIC</a></span>(<span class='no'>f</span>[<span class='fl'>1</span>, <span class='st'>"FOCUS A"</span>]) <span class='co'># We get a single number for a single fit</span></div><div class='output co'>#> [1] 55.28197</div><div class='input'> <span class='co'># For FOCUS A, the models fit almost equally well, so the higher the number</span> <span class='co'># of parameters, the higher (worse) the AIC</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/AIC'>AIC</a></span>(<span class='no'>f</span>[, <span class='st'>"FOCUS A"</span>])</div><div class='output co'>#> df AIC -#> SFO 3 55.32452 -#> FOMC 4 57.32477 -#> DFOP 5 59.32452</div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/AIC'>AIC</a></span>(<span class='no'>f</span>[, <span class='st'>"FOCUS A"</span>], <span class='kw'>k</span> <span class='kw'>=</span> <span class='fl'>0</span>) <span class='co'># If we do not penalize additional parameters, we get nearly the same</span></div><div class='output co'>#> df AIC -#> SFO 3 49.32452 -#> FOMC 4 49.32477 -#> DFOP 5 49.32452</div><div class='input'> +#> SFO 3 55.28197 +#> FOMC 4 57.28198 +#> DFOP 5 59.28197</div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/AIC'>AIC</a></span>(<span class='no'>f</span>[, <span class='st'>"FOCUS A"</span>], <span class='kw'>k</span> <span class='kw'>=</span> <span class='fl'>0</span>) <span class='co'># If we do not penalize additional parameters, we get nearly the same</span></div><div class='output co'>#> df AIC +#> SFO 3 49.28197 +#> FOMC 4 49.28198 +#> DFOP 5 49.28197</div><div class='input'> <span class='co'># For FOCUS C, the more complex models fit better</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/AIC'>AIC</a></span>(<span class='no'>f</span>[, <span class='st'>"FOCUS C"</span>])</div><div class='output co'>#> df AIC -#> SFO 3 59.84675 -#> FOMC 4 44.70584 -#> DFOP 5 29.08369</div></pre> +#> SFO 3 59.29336 +#> FOMC 4 44.68652 +#> DFOP 5 29.02372</div></pre> </div> <div class="col-md-3 hidden-xs hidden-sm" id="sidebar"> <h2>Contents</h2> diff --git a/docs/reference/CAKE_export.html b/docs/reference/CAKE_export.html index 38b8368c..e4ed9cda 100644 --- a/docs/reference/CAKE_export.html +++ b/docs/reference/CAKE_export.html @@ -64,7 +64,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> diff --git a/docs/reference/DFOP.solution.html b/docs/reference/DFOP.solution.html index 378d6eb2..335c3a80 100644 --- a/docs/reference/DFOP.solution.html +++ b/docs/reference/DFOP.solution.html @@ -64,7 +64,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> diff --git a/docs/reference/Extract.mmkin.html b/docs/reference/Extract.mmkin.html index 3567af48..77eff52e 100644 --- a/docs/reference/Extract.mmkin.html +++ b/docs/reference/Extract.mmkin.html @@ -63,7 +63,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -172,26 +172,26 @@ <span class='kw'>cores</span> <span class='kw'>=</span> <span class='fl'>1</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) <span class='no'>fits</span>[<span class='st'>"FOMC"</span>, ]</div><div class='output co'>#> dataset #> model B C -#> FOMC List,45 List,45 +#> FOMC List,36 List,36 #> attr(,"class") #> [1] "mmkin"</div><div class='input'> <span class='no'>fits</span>[, <span class='st'>"B"</span>]</div><div class='output co'>#> dataset #> model B -#> SFO List,45 -#> FOMC List,45 +#> SFO List,36 +#> FOMC List,36 #> attr(,"class") #> [1] "mmkin"</div><div class='input'> <span class='no'>fits</span>[<span class='st'>"SFO"</span>, <span class='st'>"B"</span>]</div><div class='output co'>#> dataset #> model B -#> SFO List,45 +#> SFO List,36 #> attr(,"class") #> [1] "mmkin"</div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/utils/topics/head'>head</a></span>( <span class='co'># This extracts an mkinfit object with lots of components</span> <span class='no'>fits</span><span class='kw'>[[</span><span class='st'>"FOMC"</span>, <span class='st'>"B"</span>]] )</div><div class='output co'>#> $par -#> parent_0 log_alpha log_beta -#> 99.666193 2.549849 5.050586 +#> parent_0 log_alpha log_beta sigma +#> 99.666193 2.549849 5.050586 1.890202 #> -#> $ssr +#> $objective #> [1] 28.58291 #> #> $convergence @@ -202,10 +202,10 @@ #> #> $evaluations #> function gradient -#> 25 78 +#> 25 76 #> -#> $counts -#> [1] "relative convergence (4)" +#> $message +#> [1] "both X-convergence and relative convergence (5)" #> </div></pre> </div> <div class="col-md-3 hidden-xs hidden-sm" id="sidebar"> diff --git a/docs/reference/FOCUS_2006_DFOP_ref_A_to_B.html b/docs/reference/FOCUS_2006_DFOP_ref_A_to_B.html index cdceeb0b..047a5f4d 100644 --- a/docs/reference/FOCUS_2006_DFOP_ref_A_to_B.html +++ b/docs/reference/FOCUS_2006_DFOP_ref_A_to_B.html @@ -67,7 +67,7 @@ in this fit." /> </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> diff --git a/docs/reference/FOCUS_2006_FOMC_ref_A_to_F.html b/docs/reference/FOCUS_2006_FOMC_ref_A_to_F.html index 0f51b1ce..cc3560ed 100644 --- a/docs/reference/FOCUS_2006_FOMC_ref_A_to_F.html +++ b/docs/reference/FOCUS_2006_FOMC_ref_A_to_F.html @@ -67,7 +67,7 @@ in this fit." /> </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> diff --git a/docs/reference/FOCUS_2006_HS_ref_A_to_F.html b/docs/reference/FOCUS_2006_HS_ref_A_to_F.html index e0b8d760..5f6fc197 100644 --- a/docs/reference/FOCUS_2006_HS_ref_A_to_F.html +++ b/docs/reference/FOCUS_2006_HS_ref_A_to_F.html @@ -67,7 +67,7 @@ in this fit." /> </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> diff --git a/docs/reference/FOCUS_2006_SFO_ref_A_to_F.html b/docs/reference/FOCUS_2006_SFO_ref_A_to_F.html index d07fb469..45d00237 100644 --- a/docs/reference/FOCUS_2006_SFO_ref_A_to_F.html +++ b/docs/reference/FOCUS_2006_SFO_ref_A_to_F.html @@ -67,7 +67,7 @@ in this fit." /> </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> diff --git a/docs/reference/FOCUS_2006_datasets.html b/docs/reference/FOCUS_2006_datasets.html index b766c88b..2b060f47 100644 --- a/docs/reference/FOCUS_2006_datasets.html +++ b/docs/reference/FOCUS_2006_datasets.html @@ -63,7 +63,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> diff --git a/docs/reference/FOMC.solution.html b/docs/reference/FOMC.solution.html index 8763c878..90a4810c 100644 --- a/docs/reference/FOMC.solution.html +++ b/docs/reference/FOMC.solution.html @@ -67,7 +67,7 @@ The form given here differs slightly from the original reference by Gustafson </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> diff --git a/docs/reference/HS.solution.html b/docs/reference/HS.solution.html index 940d3186..1365e23f 100644 --- a/docs/reference/HS.solution.html +++ b/docs/reference/HS.solution.html @@ -64,7 +64,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> diff --git a/docs/reference/IORE.solution.html b/docs/reference/IORE.solution.html index 9a497f92..c9b79512 100644 --- a/docs/reference/IORE.solution.html +++ b/docs/reference/IORE.solution.html @@ -64,7 +64,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -176,20 +176,20 @@ <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2> - <pre class="examples"><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/graphics/topics/plot'>plot</a></span>(<span class='kw'>function</span>(<span class='no'>x</span>) <span class='fu'>IORE.solution</span>(<span class='no'>x</span>, <span class='fl'>100</span>, <span class='fl'>0.2</span>, <span class='fl'>1.3</span>), <span class='fl'>0</span>, <span class='fl'>2</span>, - <span class='kw'>ylim</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='fl'>0</span>, <span class='fl'>100</span>))</div><div class='img'><img src='IORE.solution-1.png' alt='' width='700' height='433' /></div><div class='input'> <span class='no'>fit.fomc</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='st'>"FOMC"</span>, <span class='no'>FOCUS_2006_C</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) - <span class='no'>fit.iore</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='st'>"IORE"</span>, <span class='no'>FOCUS_2006_C</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) - <span class='no'>fit.iore.deS</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='st'>"IORE"</span>, <span class='no'>FOCUS_2006_C</span>, <span class='kw'>solution_type</span> <span class='kw'>=</span> <span class='st'>"deSolve"</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) - - <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/print'>print</a></span>(<span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/data.frame'>data.frame</a></span>(<span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/coef'>coef</a></span>(<span class='no'>fit.fomc</span>), <span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/coef'>coef</a></span>(<span class='no'>fit.iore</span>), <span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/coef'>coef</a></span>(<span class='no'>fit.iore.deS</span>), - <span class='kw'>row.names</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/paste'>paste</a></span>(<span class='st'>"model par"</span>, <span class='fl'>1</span>:<span class='fl'>3</span>)))</div><div class='output co'>#> coef.fit.fomc. coef.fit.iore. coef.fit.iore.deS. -#> model par 1 85.87489063 85.874890 85.874890 -#> model par 2 0.05192238 -4.826631 -4.826631 -#> model par 3 0.65096665 1.949403 1.949403</div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/print'>print</a></span>(<span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/cbind'>rbind</a></span>(<span class='kw'>fomc</span> <span class='kw'>=</span> <span class='fu'><a href='endpoints.html'>endpoints</a></span>(<span class='no'>fit.fomc</span>)$<span class='no'>distimes</span>, <span class='kw'>iore</span> <span class='kw'>=</span> <span class='fu'><a href='endpoints.html'>endpoints</a></span>(<span class='no'>fit.iore</span>)$<span class='no'>distimes</span>, - <span class='kw'>iore.deS</span> <span class='kw'>=</span> <span class='fu'><a href='endpoints.html'>endpoints</a></span>(<span class='no'>fit.iore</span>)$<span class='no'>distimes</span>))</div><div class='output co'>#> DT50 DT90 DT50back + <pre class="examples"><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/graphics/topics/plot'>plot</a></span>(<span class='kw'>function</span>(<span class='no'>x</span>) <span class='fu'>IORE.solution</span>(<span class='no'>x</span>, <span class='fl'>100</span>, <span class='fl'>0.2</span>, <span class='fl'>1.3</span>), <span class='fl'>0</span>, <span class='fl'>2</span>, <span class='kw'>ylim</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='fl'>0</span>, <span class='fl'>100</span>))</div><div class='img'><img src='IORE.solution-1.png' alt='' width='700' height='433' /></div><div class='input'> </div><div class='input'> <span class='no'>fit.fomc</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='st'>"FOMC"</span>, <span class='no'>FOCUS_2006_C</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) + <span class='no'>fit.iore</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='st'>"IORE"</span>, <span class='no'>FOCUS_2006_C</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) + <span class='no'>fit.iore.deS</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='st'>"IORE"</span>, <span class='no'>FOCUS_2006_C</span>, <span class='kw'>solution_type</span> <span class='kw'>=</span> <span class='st'>"deSolve"</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) + + <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/print'>print</a></span>(<span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/data.frame'>data.frame</a></span>(<span class='no'>fit.fomc</span>$<span class='no'>par</span>, <span class='no'>fit.iore</span>$<span class='no'>par</span>, <span class='no'>fit.iore.deS</span>$<span class='no'>par</span>, + <span class='kw'>row.names</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/paste'>paste</a></span>(<span class='st'>"model par"</span>, <span class='fl'>1</span>:<span class='fl'>4</span>)))</div><div class='output co'>#> fit.fomc.par fit.iore.par fit.iore.deS.par +#> model par 1 85.87488995 85.874890 85.874890 +#> model par 2 0.05192228 -4.826631 -4.826631 +#> model par 3 0.65096650 1.949403 1.949403 +#> model par 4 1.85744396 1.857444 1.857444</div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/print'>print</a></span>(<span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/cbind'>rbind</a></span>(<span class='kw'>fomc</span> <span class='kw'>=</span> <span class='fu'><a href='endpoints.html'>endpoints</a></span>(<span class='no'>fit.fomc</span>)$<span class='no'>distimes</span>, <span class='kw'>iore</span> <span class='kw'>=</span> <span class='fu'><a href='endpoints.html'>endpoints</a></span>(<span class='no'>fit.iore</span>)$<span class='no'>distimes</span>, + <span class='kw'>iore.deS</span> <span class='kw'>=</span> <span class='fu'><a href='endpoints.html'>endpoints</a></span>(<span class='no'>fit.iore</span>)$<span class='no'>distimes</span>))</div><div class='output co'>#> DT50 DT90 DT50back #> fomc 1.785233 15.1479 4.559973 #> iore 1.785233 15.1479 4.559973 -#> iore.deS 1.785233 15.1479 4.559973</div></pre> +#> iore.deS 1.785233 15.1479 4.559973</div><div class='input'> </div></pre> </div> <div class="col-md-3 hidden-xs hidden-sm" id="sidebar"> <h2>Contents</h2> diff --git a/docs/reference/NAFTA_SOP_2015.html b/docs/reference/NAFTA_SOP_2015.html index b2aba7ef..513cb128 100644 --- a/docs/reference/NAFTA_SOP_2015.html +++ b/docs/reference/NAFTA_SOP_2015.html @@ -63,7 +63,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -155,8 +155,7 @@ <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2> - <pre class="examples"><div class='input'> <span class='no'>nafta_evaluation</span> <span class='kw'><-</span> <span class='fu'><a href='nafta.html'>nafta</a></span>(<span class='no'>NAFTA_SOP_Appendix_D</span>, <span class='kw'>cores</span> <span class='kw'>=</span> <span class='fl'>1</span>)</div><div class='output co'>#> <span class='warning'>Warning: Calculation of the Jacobian failed for the cost function of the untransformed model.</span> -#> <span class='warning'>No t-test results will be available</span></div><div class='output co'>#> <span class='message'>The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</span></div><div class='output co'>#> <span class='message'>The representative half-life of the IORE model is longer than the one corresponding</span></div><div class='output co'>#> <span class='message'>to the terminal degradation rate found with the DFOP model.</span></div><div class='output co'>#> <span class='message'>The representative half-life obtained from the DFOP model may be used</span></div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/print'>print</a></span>(<span class='no'>nafta_evaluation</span>)</div><div class='output co'>#> Sums of squares: + <pre class="examples"><div class='input'> <span class='no'>nafta_evaluation</span> <span class='kw'><-</span> <span class='fu'><a href='nafta.html'>nafta</a></span>(<span class='no'>NAFTA_SOP_Appendix_D</span>, <span class='kw'>cores</span> <span class='kw'>=</span> <span class='fl'>1</span>)</div><div class='output co'>#> <span class='message'>The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</span></div><div class='output co'>#> <span class='message'>The representative half-life of the IORE model is longer than the one corresponding</span></div><div class='output co'>#> <span class='message'>to the terminal degradation rate found with the DFOP model.</span></div><div class='output co'>#> <span class='message'>The representative half-life obtained from the DFOP model may be used</span></div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/print'>print</a></span>(<span class='no'>nafta_evaluation</span>)</div><div class='output co'>#> Sums of squares: #> SFO IORE DFOP #> 1378.6832 615.7730 517.8836 #> @@ -165,22 +164,25 @@ #> #> Parameters: #> $SFO -#> Estimate Pr(>t) Lower Upper -#> parent_0 83.7558 8.08e-15 76.92822 90.58328 -#> k_parent_sink 0.0017 7.45e-05 0.00111 0.00262 +#> Estimate Pr(>t) Lower Upper +#> parent_0 83.7558 1.80e-14 77.18268 90.3288 +#> k_parent_sink 0.0017 7.43e-05 0.00112 0.0026 +#> sigma 8.7518 1.22e-05 5.64278 11.8608 #> #> $IORE #> Estimate Pr(>t) Lower Upper -#> parent_0 9.69e+01 NA 8.75e+01 1.06e+02 -#> k__iore_parent_sink 8.40e-14 NA 1.09e-19 6.47e-08 -#> N_parent 6.68e+00 NA 3.54e+00 9.83e+00 +#> parent_0 9.69e+01 NA 8.88e+01 1.05e+02 +#> k__iore_parent_sink 8.40e-14 NA 1.79e-18 3.94e-09 +#> N_parent 6.68e+00 NA 4.19e+00 9.17e+00 +#> sigma 5.85e+00 NA 3.76e+00 7.94e+00 #> #> $DFOP #> Estimate Pr(>t) Lower Upper -#> parent_0 9.76e+01 4.44e-13 8.88e+01 1.06e+02 -#> k1 4.24e-02 3.55e-02 1.41e-02 1.27e-01 -#> k2 8.24e-04 2.06e-02 3.17e-04 2.14e-03 -#> g 2.88e-01 1.31e-04 1.78e-01 4.30e-01 +#> parent_0 9.76e+01 1.94e-13 9.02e+01 1.05e+02 +#> k1 4.24e-02 5.92e-03 2.03e-02 8.88e-02 +#> k2 8.24e-04 6.48e-03 3.89e-04 1.75e-03 +#> g 2.88e-01 2.47e-05 1.95e-01 4.03e-01 +#> sigma 5.36e+00 2.22e-05 3.43e+00 7.30e+00 #> #> #> DTx values: @@ -190,7 +192,7 @@ #> DFOP 429 2380 841 #> #> Representative half-life: -#> [1] 841.4096</div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/graphics/topics/plot'>plot</a></span>(<span class='no'>nafta_evaluation</span>)</div><div class='img'><img src='NAFTA_SOP_2015-1.png' alt='' width='700' height='433' /></div></pre> +#> [1] 841.4094</div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/graphics/topics/plot'>plot</a></span>(<span class='no'>nafta_evaluation</span>)</div><div class='img'><img src='NAFTA_SOP_2015-1.png' alt='' width='700' height='433' /></div></pre> </div> <div class="col-md-3 hidden-xs hidden-sm" id="sidebar"> <h2>Contents</h2> diff --git a/docs/reference/NAFTA_SOP_Attachment-1.png b/docs/reference/NAFTA_SOP_Attachment-1.png Binary files differindex d781cdb0..7c6c723f 100644 --- a/docs/reference/NAFTA_SOP_Attachment-1.png +++ b/docs/reference/NAFTA_SOP_Attachment-1.png diff --git a/docs/reference/NAFTA_SOP_Attachment.html b/docs/reference/NAFTA_SOP_Attachment.html index 22d9c9fd..ead06a54 100644 --- a/docs/reference/NAFTA_SOP_Attachment.html +++ b/docs/reference/NAFTA_SOP_Attachment.html @@ -63,7 +63,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -152,7 +152,7 @@ <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2> - <pre class="examples"><div class='input'> <span class='no'>nafta_att_p5a</span> <span class='kw'><-</span> <span class='fu'><a href='nafta.html'>nafta</a></span>(<span class='no'>NAFTA_SOP_Attachment</span><span class='kw'>[[</span><span class='st'>"p5a"</span>]], <span class='kw'>cores</span> <span class='kw'>=</span> <span class='fl'>1</span>)</div><div class='output co'>#> <span class='warning'>Warning: Could not estimate covariance matrix; singular system.</span></div><div class='output co'>#> <span class='message'>The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</span></div><div class='output co'>#> <span class='message'>The half-life obtained from the IORE model may be used</span></div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/print'>print</a></span>(<span class='no'>nafta_att_p5a</span>)</div><div class='output co'>#> Sums of squares: + <pre class="examples"><div class='input'> <span class='no'>nafta_att_p5a</span> <span class='kw'><-</span> <span class='fu'><a href='nafta.html'>nafta</a></span>(<span class='no'>NAFTA_SOP_Attachment</span><span class='kw'>[[</span><span class='st'>"p5a"</span>]], <span class='kw'>cores</span> <span class='kw'>=</span> <span class='fl'>1</span>)</div><div class='output co'>#> <span class='message'>The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</span></div><div class='output co'>#> <span class='message'>The half-life obtained from the IORE model may be used</span></div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/print'>print</a></span>(<span class='no'>nafta_att_p5a</span>)</div><div class='output co'>#> Sums of squares: #> SFO IORE DFOP #> 465.21753 56.27506 32.06401 #> @@ -162,28 +162,31 @@ #> Parameters: #> $SFO #> Estimate Pr(>t) Lower Upper -#> parent_0 95.8401 1.10e-21 92.121 99.5597 -#> k_parent_sink 0.0102 1.71e-12 0.009 0.0117 +#> parent_0 95.8401 4.67e-21 92.245 99.4357 +#> k_parent_sink 0.0102 3.92e-12 0.009 0.0117 +#> sigma 4.8230 3.81e-06 3.214 6.4318 #> #> $IORE -#> Estimate Pr(>t) Lower Upper -#> parent_0 1.01e+02 2.37e-26 9.89e+01 1.03e+02 -#> k__iore_parent_sink 1.54e-05 8.73e-02 3.48e-06 6.85e-05 -#> N_parent 2.57e+00 1.14e-11 2.22e+00 2.92e+00 +#> Estimate Pr(>t) Lower Upper +#> parent_0 1.01e+02 NA 9.91e+01 1.02e+02 +#> k__iore_parent_sink 1.54e-05 NA 4.08e-06 5.84e-05 +#> N_parent 2.57e+00 NA 2.25e+00 2.89e+00 +#> sigma 1.68e+00 NA 1.12e+00 2.24e+00 #> #> $DFOP -#> Estimate Pr(>t) Lower Upper -#> parent_0 9.99e+01 4.33e-27 NA NA -#> k1 2.67e-02 3.17e-05 NA NA -#> k2 2.16e-12 5.00e-01 NA NA -#> g 6.47e-01 2.13e-05 NA NA +#> Estimate Pr(>t) Lower Upper +#> parent_0 9.99e+01 1.41e-26 98.8116 101.0810 +#> k1 2.67e-02 5.05e-06 0.0243 0.0295 +#> k2 3.41e-12 5.00e-01 0.0000 Inf +#> g 6.47e-01 3.67e-06 0.6248 0.6677 +#> sigma 1.27e+00 8.91e-06 0.8395 1.6929 #> #> #> DTx values: #> DT50 DT90 DT50_rep #> SFO 67.7 2.25e+02 6.77e+01 #> IORE 58.2 1.07e+03 3.22e+02 -#> DFOP 55.5 5.84e+11 3.21e+11 +#> DFOP 55.5 3.70e+11 2.03e+11 #> #> Representative half-life: #> [1] 321.5119</div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/graphics/topics/plot'>plot</a></span>(<span class='no'>nafta_att_p5a</span>)</div><div class='img'><img src='NAFTA_SOP_Attachment-1.png' alt='' width='700' height='433' /></div></pre> diff --git a/docs/reference/SFO.solution.html b/docs/reference/SFO.solution.html index dea4527e..2eb3a9b0 100644 --- a/docs/reference/SFO.solution.html +++ b/docs/reference/SFO.solution.html @@ -63,7 +63,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> diff --git a/docs/reference/SFORB.solution.html b/docs/reference/SFORB.solution.html index a09f3d94..f2743fe4 100644 --- a/docs/reference/SFORB.solution.html +++ b/docs/reference/SFORB.solution.html @@ -67,7 +67,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> diff --git a/docs/reference/add_err-1.png b/docs/reference/add_err-1.png Binary files differindex d099898c..e2107cc2 100644 --- a/docs/reference/add_err-1.png +++ b/docs/reference/add_err-1.png diff --git a/docs/reference/add_err-2.png b/docs/reference/add_err-2.png Binary files differindex f6de95a0..2fab0ee4 100644 --- a/docs/reference/add_err-2.png +++ b/docs/reference/add_err-2.png diff --git a/docs/reference/add_err-3.png b/docs/reference/add_err-3.png Binary files differindex 13f54e65..6e6592a5 100644 --- a/docs/reference/add_err-3.png +++ b/docs/reference/add_err-3.png diff --git a/docs/reference/add_err.html b/docs/reference/add_err.html index 8b6668f1..2eee6131 100644 --- a/docs/reference/add_err.html +++ b/docs/reference/add_err.html @@ -65,7 +65,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -215,14 +215,12 @@ <span class='co'># Name the datasets for nicer plotting</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/names'>names</a></span>(<span class='no'>d_SFO_SFO_err</span>) <span class='kw'><-</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/paste'>paste</a></span>(<span class='st'>"Dataset"</span>, <span class='fl'>1</span>:<span class='fl'>3</span>) -<span class='co'># Name the model in the list of models (with only one member in this case)</span> -<span class='co'># for nicer plotting later on.</span> -<span class='co'># Be quiet and use the faster Levenberg-Marquardt algorithm, as the datasets</span> -<span class='co'># are easy and examples are run often. Use only one core not to offend CRAN</span> +<span class='co'># Name the model in the list of models (with only one member in this case) for</span> +<span class='co'># nicer plotting later on. Be quiet and use only one core not to offend CRAN</span> <span class='co'># checks</span> <span class='no'>f_SFO_SFO</span> <span class='kw'><-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span>(<span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/list'>list</a></span>(<span class='st'>"SFO-SFO"</span> <span class='kw'>=</span> <span class='no'>m_SFO_SFO</span>), <span class='no'>d_SFO_SFO_err</span>, <span class='kw'>cores</span> <span class='kw'>=</span> <span class='fl'>1</span>, - <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>method.modFit</span> <span class='kw'>=</span> <span class='st'>"Marq"</span>) + <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) <span class='fu'><a href='https://www.rdocumentation.org/packages/graphics/topics/plot'>plot</a></span>(<span class='no'>f_SFO_SFO</span>)</div><div class='img'><img src='add_err-1.png' alt='' width='700' height='433' /></div><div class='input'> <span class='co'># We would like to inspect the fit for dataset 3 more closely</span> diff --git a/docs/reference/endpoints.html b/docs/reference/endpoints.html index 4d777ce2..5f419781 100644 --- a/docs/reference/endpoints.html +++ b/docs/reference/endpoints.html @@ -66,7 +66,7 @@ with the advantage that the SFORB model can also be used for metabolites." /> </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> diff --git a/docs/reference/geometric_mean.html b/docs/reference/geometric_mean.html index f8beb987..908aa8cc 100644 --- a/docs/reference/geometric_mean.html +++ b/docs/reference/geometric_mean.html @@ -63,7 +63,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> diff --git a/docs/reference/ilr.html b/docs/reference/ilr.html index 02c96b92..0a18d535 100644 --- a/docs/reference/ilr.html +++ b/docs/reference/ilr.html @@ -63,7 +63,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> diff --git a/docs/reference/index.html b/docs/reference/index.html index e1f149e2..42028d60 100644 --- a/docs/reference/index.html +++ b/docs/reference/index.html @@ -60,7 +60,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> diff --git a/docs/reference/logLik.mkinfit.html b/docs/reference/logLik.mkinfit.html index fc4193cb..0184d573 100644 --- a/docs/reference/logLik.mkinfit.html +++ b/docs/reference/logLik.mkinfit.html @@ -33,23 +33,12 @@ <meta property="og:title" content="Calculated the log-likelihood of a fitted mkinfit object — logLik.mkinfit" /> <meta property="og:description" content="This function simply calculates the product of the likelihood densities - calculated using dnorm, i.e. assuming normal distribution. + calculated using dnorm, i.e. assuming normal distribution, + with of the mean predicted by the degradation model, and the + standard deviation predicted by the error model. The total number of estimated parameters returned with the value of the likelihood is calculated as the sum of fitted degradation - model parameters and the fitted error model parameters. -For the case of unweighted least squares fitting, we calculate one - constant standard deviation from the residuals using sd - and add one to the number of fitted degradation model parameters. -For the case of manual weighting, we use the weight given for each - observation as standard deviation in calculating its likelihood - and the total number of estimated parameters is equal to the - number of fitted degradation model parameters. -In the case of iterative reweighting, the variances obtained by this - procedure are used in the likelihood calculations, and the number of - estimated parameters is obtained by the number of degradation model - parameters plus the number of variance model parameters, i.e. the number of - observed variables if the reweighting method is "obs", and two if the - reweighting method is "tc"." /> + model parameters and the fitted error model parameters." /> <meta name="twitter:card" content="summary" /> @@ -80,7 +69,7 @@ In the case of iterative reweighting, the variances obtained by this </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -146,23 +135,12 @@ In the case of iterative reweighting, the variances obtained by this <div class="ref-description"> <p>This function simply calculates the product of the likelihood densities - calculated using <code><a href='https://www.rdocumentation.org/packages/stats/topics/Normal'>dnorm</a></code>, i.e. assuming normal distribution.</p> + calculated using <code><a href='https://www.rdocumentation.org/packages/stats/topics/Normal'>dnorm</a></code>, i.e. assuming normal distribution, + with of the mean predicted by the degradation model, and the + standard deviation predicted by the error model.</p> <p>The total number of estimated parameters returned with the value of the likelihood is calculated as the sum of fitted degradation model parameters and the fitted error model parameters.</p> -<p>For the case of unweighted least squares fitting, we calculate one - constant standard deviation from the residuals using <code><a href='https://www.rdocumentation.org/packages/stats/topics/sd'>sd</a></code> - and add one to the number of fitted degradation model parameters.</p> -<p>For the case of manual weighting, we use the weight given for each - observation as standard deviation in calculating its likelihood - and the total number of estimated parameters is equal to the - number of fitted degradation model parameters.</p> -<p>In the case of iterative reweighting, the variances obtained by this - procedure are used in the likelihood calculations, and the number of - estimated parameters is obtained by the number of degradation model - parameters plus the number of variance model parameters, i.e. the number of - observed variables if the reweighting method is "obs", and two if the - reweighting method is "tc".</p> </div> @@ -199,17 +177,10 @@ In the case of iterative reweighting, the variances obtained by this <span class='kw'>parent</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>, <span class='kw'>to</span> <span class='kw'>=</span> <span class='st'>"m1"</span>), <span class='kw'>m1</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>) )</div><div class='output co'>#> <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'> <span class='no'>d_t</span> <span class='kw'><-</span> <span class='no'>FOCUS_2006_D</span> - <span class='no'>d_t</span>[<span class='fl'>23</span>:<span class='fl'>24</span>, <span class='st'>"value"</span>] <span class='kw'><-</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='fl'>NA</span>, <span class='fl'>NA</span>) <span class='co'># can't cope with zero values at the moment</span> - <span class='no'>f_nw</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>sfo_sfo</span>, <span class='no'>d_t</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) <span class='co'># no weighting (weights are unity)</span> - <span class='no'>f_obs</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>sfo_sfo</span>, <span class='no'>d_t</span>, <span class='kw'>reweight.method</span> <span class='kw'>=</span> <span class='st'>"obs"</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) - <span class='no'>f_tc</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>sfo_sfo</span>, <span class='no'>d_t</span>, <span class='kw'>reweight.method</span> <span class='kw'>=</span> <span class='st'>"tc"</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) - <span class='no'>d_t</span>$<span class='no'>err</span> <span class='kw'><-</span> <span class='no'>d_t</span>$<span class='no'>value</span> <span class='co'># Manual weighting assuming sigma ~ y</span> - <span class='no'>f_man</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>sfo_sfo</span>, <span class='no'>d_t</span>, <span class='kw'>err</span> <span class='kw'>=</span> <span class='st'>"err"</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) - <span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/AIC'>AIC</a></span>(<span class='no'>f_nw</span>, <span class='no'>f_obs</span>, <span class='no'>f_tc</span>, <span class='no'>f_man</span>)</div><div class='output co'>#> df AIC -#> f_nw 5 204.4619 + <span class='no'>f_nw</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>sfo_sfo</span>, <span class='no'>d_t</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) <span class='co'># no weighting (weights are unity)</span></div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'> <span class='no'>f_obs</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>sfo_sfo</span>, <span class='no'>d_t</span>, <span class='kw'>error_model</span> <span class='kw'>=</span> <span class='st'>"obs"</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'> <span class='no'>f_tc</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>sfo_sfo</span>, <span class='no'>d_t</span>, <span class='kw'>error_model</span> <span class='kw'>=</span> <span class='st'>"tc"</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/AIC'>AIC</a></span>(<span class='no'>f_nw</span>, <span class='no'>f_obs</span>, <span class='no'>f_tc</span>)</div><div class='output co'>#> df AIC +#> f_nw 5 204.4486 #> f_obs 6 205.8727 -#> f_tc 6 143.8773 -#> f_man 4 291.8000</div><div class='input'> </div></pre> +#> f_tc 6 141.9656</div><div class='input'> </div></pre> </div> <div class="col-md-3 hidden-xs hidden-sm" id="sidebar"> <h2>Contents</h2> diff --git a/docs/reference/logistic.solution.html b/docs/reference/logistic.solution.html index 9687d7d3..4ce03e83 100644 --- a/docs/reference/logistic.solution.html +++ b/docs/reference/logistic.solution.html @@ -64,7 +64,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -205,17 +205,19 @@ <span class='kw'>n</span> <span class='kw'>=</span> <span class='fl'>1</span>, <span class='kw'>reps</span> <span class='kw'>=</span> <span class='fl'>2</span>, <span class='kw'>digits</span> <span class='kw'>=</span> <span class='fl'>5</span>, <span class='kw'>LOD</span> <span class='kw'>=</span> <span class='fl'>0.1</span>, <span class='kw'>seed</span> <span class='kw'>=</span> <span class='fl'>123456</span>)<span class='kw'>[[</span><span class='fl'>1</span>]] <span class='no'>m</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='st'>"logistic"</span>, <span class='no'>d_2_1</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) - <span class='fu'><a href='plot.mkinfit.html'>plot_sep</a></span>(<span class='no'>m</span>)</div><div class='img'><img src='logistic.solution-2.png' alt='' width='700' height='433' /></div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>m</span>)$<span class='no'>bpar</span></div><div class='output co'>#> Estimate se_notrans t value Pr(>t) Lower -#> parent_0 1.057896e+02 2.3743105248 44.5559374 6.656664e-16 1.006602e+02 -#> kmax 6.398190e-02 0.0193490291 3.3067243 2.836921e-03 3.329058e-02 -#> k0 1.612775e-04 0.0009640761 0.1672871 4.348592e-01 3.972250e-10 -#> r 2.263946e-01 0.2822811886 0.8020181 2.184792e-01 1.531165e-02 + <span class='fu'><a href='plot.mkinfit.html'>plot_sep</a></span>(<span class='no'>m</span>)</div><div class='img'><img src='logistic.solution-2.png' alt='' width='700' height='433' /></div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>m</span>)$<span class='no'>bpar</span></div><div class='output co'>#> Estimate se_notrans t value Pr(>t) Lower +#> parent_0 1.057896e+02 1.9023449643 55.610120 3.768361e-16 1.016451e+02 +#> kmax 6.398190e-02 0.0143201029 4.467978 3.841828e-04 3.929235e-02 +#> k0 1.612775e-04 0.0005866813 0.274898 3.940351e-01 5.846687e-08 +#> r 2.263946e-01 0.1718110718 1.317695 1.061044e-01 4.335843e-02 +#> sigma 5.332935e+00 0.9145907310 5.830952 4.036926e-05 3.340213e+00 #> Upper -#> parent_0 110.9190170 -#> kmax 0.1229682 -#> k0 65.4803698 -#> r 3.3474197</div><div class='input'> <span class='fu'><a href='endpoints.html'>endpoints</a></span>(<span class='no'>m</span>)$<span class='no'>distimes</span></div><div class='output co'>#> DT50 DT90 DT50_k0 DT50_kmax -#> parent 36.86533 62.41511 4297.854 10.83349</div></pre> +#> parent_0 109.9341588 +#> kmax 0.1041853 +#> k0 0.4448749 +#> r 1.1821121 +#> sigma 7.3256566</div><div class='input'> <span class='fu'><a href='endpoints.html'>endpoints</a></span>(<span class='no'>m</span>)$<span class='no'>distimes</span></div><div class='output co'>#> DT50 DT90 DT50_k0 DT50_kmax +#> parent 36.86533 62.41511 4297.853 10.83349</div></pre> </div> <div class="col-md-3 hidden-xs hidden-sm" id="sidebar"> <h2>Contents</h2> diff --git a/docs/reference/max_twa_parent.html b/docs/reference/max_twa_parent.html index f62ed5d5..33c5ee4f 100644 --- a/docs/reference/max_twa_parent.html +++ b/docs/reference/max_twa_parent.html @@ -67,7 +67,7 @@ guidance." /> </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> diff --git a/docs/reference/mccall81_245T-1.png b/docs/reference/mccall81_245T-1.png Binary files differnew file mode 100644 index 00000000..859f315a --- /dev/null +++ b/docs/reference/mccall81_245T-1.png diff --git a/docs/reference/mccall81_245T.html b/docs/reference/mccall81_245T.html index 47fa6482..a336a840 100644 --- a/docs/reference/mccall81_245T.html +++ b/docs/reference/mccall81_245T.html @@ -65,7 +65,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -141,10 +141,10 @@ <h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2> <p>A dataframe containing the following variables.</p><dl class='dl-horizontal'> - <dt><code>name</code></dt><dd><p>the name of the compound observed. Note that T245 is used as + <dt><code>name</code></dt><dd><p>the name of the compound observed. Note that T245 is used as an acronym for 2,4,5-T. T245 is a legitimate object name in R, which is necessary for specifying models using - <code><a href='mkinmod.html'>mkinmod</a></code>.</p></dd> + <code><a href='mkinmod.html'>mkinmod</a></code>.</p></dd> <dt><code>time</code></dt><dd><p>a numeric vector containing sampling times in days after treatment</p></dd> <dt><code>value</code></dt><dd><p>a numeric vector containing concentrations in percent of applied radioactivity</p></dd> @@ -160,23 +160,24 @@ <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2> <pre class="examples"><div class='input'> <span class='no'>SFO_SFO_SFO</span> <span class='kw'><-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span>(<span class='kw'>T245</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/list'>list</a></span>(<span class='kw'>type</span> <span class='kw'>=</span> <span class='st'>"SFO"</span>, <span class='kw'>to</span> <span class='kw'>=</span> <span class='st'>"phenol"</span>), <span class='kw'>phenol</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/list'>list</a></span>(<span class='kw'>type</span> <span class='kw'>=</span> <span class='st'>"SFO"</span>, <span class='kw'>to</span> <span class='kw'>=</span> <span class='st'>"anisole"</span>), - <span class='kw'>anisole</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/list'>list</a></span>(<span class='kw'>type</span> <span class='kw'>=</span> <span class='st'>"SFO"</span>))</div><div class='output co'>#> <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'> </div><div class='input'> <span class='no'>fit.1</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>SFO_SFO_SFO</span>, <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/subset'>subset</a></span>(<span class='no'>mccall81_245T</span>, <span class='no'>soil</span> <span class='kw'>==</span> <span class='st'>"Commerce"</span>), <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) - <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>fit.1</span>)$<span class='no'>bpar</span></div><div class='output co'>#> <span class='warning'>Warning: Could not estimate covariance matrix; singular system.</span></div><div class='output co'>#> Estimate se_notrans t value Pr(>t) Lower -#> T245_0 1.038550e+02 2.4256088519 4.281607e+01 7.235908e-20 NA -#> k_T245_sink 1.636106e-02 0.0183803090 8.901408e-01 1.925667e-01 NA -#> k_T245_phenol 2.700936e-02 0.0179604385 1.503825e+00 7.498498e-02 NA -#> k_phenol_sink 1.286034e-11 0.2810970202 4.575054e-11 5.000000e-01 NA -#> k_phenol_anisole 4.050581e-01 0.1608928349 2.517564e+00 1.075371e-02 NA -#> k_anisole_sink 6.678742e-03 0.0008199239 8.145563e+00 9.469402e-08 NA -#> Upper -#> T245_0 NA -#> k_T245_sink NA -#> k_T245_phenol NA -#> k_phenol_sink NA -#> k_phenol_anisole NA -#> k_anisole_sink NA</div><div class='input'> <span class='fu'><a href='endpoints.html'>endpoints</a></span>(<span class='no'>fit.1</span>)</div><div class='output co'>#> $ff + <span class='kw'>anisole</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/list'>list</a></span>(<span class='kw'>type</span> <span class='kw'>=</span> <span class='st'>"SFO"</span>))</div><div class='output co'>#> <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'> </div><div class='input'> <span class='no'>fit.1</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>SFO_SFO_SFO</span>, <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/subset'>subset</a></span>(<span class='no'>mccall81_245T</span>, <span class='no'>soil</span> <span class='kw'>==</span> <span class='st'>"Commerce"</span>), <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>fit.1</span>)$<span class='no'>bpar</span></div><div class='output co'>#> <span class='warning'>Warning: NaNs wurden erzeugt</span></div><div class='output co'>#> Estimate se_notrans t value Pr(>t) Lower +#> T245_0 1.038550e+02 2.1508106806 48.286460 3.542223e-18 99.246062186 +#> k_T245_sink 1.636106e-02 NaN NaN NaN 0.012661557 +#> k_T245_phenol 2.700936e-02 NaN NaN NaN 0.024487315 +#> k_phenol_sink 1.054519e-10 NaN NaN NaN 0.000000000 +#> k_phenol_anisole 4.050581e-01 0.1053797258 3.843795 7.969973e-04 0.218013983 +#> k_anisole_sink 6.678742e-03 0.0006205825 10.762053 9.427693e-09 0.005370739 +#> sigma 2.514628e+00 0.3383657682 7.431685 1.054052e-06 1.706607296 +#> Upper +#> T245_0 1.084640e+02 +#> k_T245_sink 2.114150e-02 +#> k_T245_phenol 2.979116e-02 +#> k_phenol_sink Inf +#> k_phenol_anisole 7.525759e-01 +#> k_anisole_sink 8.305299e-03 +#> sigma 3.322649e+00</div><div class='input'> <span class='fu'><a href='endpoints.html'>endpoints</a></span>(<span class='no'>fit.1</span>)</div><div class='output co'>#> $ff #> T245_sink T245_phenol phenol_sink phenol_anisole anisole_sink -#> 3.772401e-01 6.227599e-01 3.174937e-11 1.000000e+00 1.000000e+00 +#> 3.772401e-01 6.227599e-01 2.603376e-10 1.000000e+00 1.000000e+00 #> #> $SFORB #> logical(0) @@ -185,26 +186,26 @@ #> DT50 DT90 #> T245 15.982025 53.09114 #> phenol 1.711229 5.68458 -#> anisole 103.784093 344.76330 -#> </div><div class='input'> <span class='co'># No convergence, no covariance matrix ...</span> - <span class='co'># k_phenol_sink is really small, therefore fix it to zero</span> +#> anisole 103.784092 344.76329 +#> </div><div class='input'> <span class='co'># k_phenol_sink is really small, therefore fix it to zero</span> <span class='no'>fit.2</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>SFO_SFO_SFO</span>, <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/subset'>subset</a></span>(<span class='no'>mccall81_245T</span>, <span class='no'>soil</span> <span class='kw'>==</span> <span class='st'>"Commerce"</span>), <span class='kw'>parms.ini</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='kw'>k_phenol_sink</span> <span class='kw'>=</span> <span class='fl'>0</span>), - <span class='kw'>fixed_parms</span> <span class='kw'>=</span> <span class='st'>"k_phenol_sink"</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) - <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>fit.2</span>)$<span class='no'>bpar</span></div><div class='output co'>#> Estimate se_notrans t value Pr(>t) Lower -#> T245_0 1.038550e+02 2.3517950656 44.159900 6.461715e-21 98.932670927 -#> k_T245_sink 1.636106e-02 0.0021685502 7.544701 1.978480e-07 0.012397413 -#> k_T245_phenol 2.700936e-02 0.0013511301 19.990199 1.606634e-14 0.024324422 -#> k_phenol_anisole 4.050581e-01 0.1238660786 3.270129 2.013627e-03 0.213574853 -#> k_anisole_sink 6.678742e-03 0.0007468908 8.942059 1.543812e-08 0.005284957 + <span class='kw'>fixed_parms</span> <span class='kw'>=</span> <span class='st'>"k_phenol_sink"</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>fit.2</span>)$<span class='no'>bpar</span></div><div class='output co'>#> Estimate se_notrans t value Pr(>t) Lower +#> T245_0 1.038550e+02 2.1623652988 48.028441 4.993105e-19 99.271024566 +#> k_T245_sink 1.636106e-02 0.0019676253 8.315129 1.673677e-07 0.012679144 +#> k_T245_phenol 2.700936e-02 0.0012421965 21.743225 1.314080e-13 0.024500318 +#> k_phenol_anisole 4.050581e-01 0.1177235385 3.440757 1.679236e-03 0.218746681 +#> k_anisole_sink 6.678743e-03 0.0006829745 9.778904 1.872891e-08 0.005377084 +#> sigma 2.514628e+00 0.3790944250 6.633250 2.875782e-06 1.710983655 #> Upper -#> T245_0 1.087774e+02 -#> k_T245_sink 2.159195e-02 -#> k_T245_phenol 2.999066e-02 -#> k_phenol_anisole 7.682180e-01 -#> k_anisole_sink 8.440105e-03</div><div class='input'> <span class='fu'><a href='endpoints.html'>endpoints</a></span>(<span class='no'>fit.1</span>)</div><div class='output co'>#> $ff +#> T245_0 1.084390e+02 +#> k_T245_sink 2.111217e-02 +#> k_T245_phenol 2.977534e-02 +#> k_phenol_anisole 7.500550e-01 +#> k_anisole_sink 8.295501e-03 +#> sigma 3.318272e+00</div><div class='input'> <span class='fu'><a href='endpoints.html'>endpoints</a></span>(<span class='no'>fit.1</span>)</div><div class='output co'>#> $ff #> T245_sink T245_phenol phenol_sink phenol_anisole anisole_sink -#> 3.772401e-01 6.227599e-01 3.174937e-11 1.000000e+00 1.000000e+00 +#> 3.772401e-01 6.227599e-01 2.603376e-10 1.000000e+00 1.000000e+00 #> #> $SFORB #> logical(0) @@ -213,8 +214,8 @@ #> DT50 DT90 #> T245 15.982025 53.09114 #> phenol 1.711229 5.68458 -#> anisole 103.784093 344.76330 -#> </div><div class='input'> </div></pre> +#> anisole 103.784092 344.76329 +#> </div><div class='input'> <span class='fu'><a href='plot.mkinfit.html'>plot_sep</a></span>(<span class='no'>fit.2</span>)</div><div class='img'><img src='mccall81_245T-1.png' alt='' width='700' height='433' /></div><div class='input'> </div></pre> </div> <div class="col-md-3 hidden-xs hidden-sm" id="sidebar"> <h2>Contents</h2> diff --git a/docs/reference/mkin_long_to_wide.html b/docs/reference/mkin_long_to_wide.html index ee781c11..7d0ad2fc 100644 --- a/docs/reference/mkin_long_to_wide.html +++ b/docs/reference/mkin_long_to_wide.html @@ -32,9 +32,9 @@ <meta property="og:title" content="Convert a dataframe from long to wide format — mkin_long_to_wide" /> -<meta property="og:description" content="This function takes a dataframe in the long form as required by modCost - and converts it into a dataframe with one independent variable and several - dependent variables as columns." /> +<meta property="og:description" content="This function takes a dataframe in the long form, i.e. with a row + for each observed value, and converts it into a dataframe with one + independent variable and several dependent variables as columns." /> <meta name="twitter:card" content="summary" /> @@ -65,7 +65,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -130,9 +130,9 @@ <div class="ref-description"> - <p>This function takes a dataframe in the long form as required by <code>modCost</code> - and converts it into a dataframe with one independent variable and several - dependent variables as columns.</p> + <p>This function takes a dataframe in the long form, i.e. with a row + for each observed value, and converts it into a dataframe with one + independent variable and several dependent variables as columns.</p> </div> diff --git a/docs/reference/mkin_wide_to_long.html b/docs/reference/mkin_wide_to_long.html index f2b9bef7..4fc0e2ed 100644 --- a/docs/reference/mkin_wide_to_long.html +++ b/docs/reference/mkin_wide_to_long.html @@ -33,7 +33,7 @@ <meta property="og:title" content="Convert a dataframe with observations over time into long format — mkin_wide_to_long" /> <meta property="og:description" content="This function simply takes a dataframe with one independent variable and several - dependent variable and converts it into the long form as required by modCost." /> + dependent variable and converts it into the long form as required by mkinfit." /> <meta name="twitter:card" content="summary" /> @@ -64,7 +64,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -130,7 +130,7 @@ <div class="ref-description"> <p>This function simply takes a dataframe with one independent variable and several - dependent variable and converts it into the long form as required by <code>modCost</code>.</p> + dependent variable and converts it into the long form as required by <code><a href='mkinfit.html'>mkinfit</a></code>.</p> </div> @@ -152,7 +152,7 @@ <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2> - <p>Dataframe in long format as needed for <code>modCost</code>.</p> + <p>Dataframe in long format as needed for <code><a href='mkinfit.html'>mkinfit</a></code>.</p> <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2> diff --git a/docs/reference/mkinds.html b/docs/reference/mkinds.html index 3be872e8..2c01be70 100644 --- a/docs/reference/mkinds.html +++ b/docs/reference/mkinds.html @@ -63,7 +63,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> diff --git a/docs/reference/mkinerrmin.html b/docs/reference/mkinerrmin.html index 60769486..3ebea1e4 100644 --- a/docs/reference/mkinerrmin.html +++ b/docs/reference/mkinerrmin.html @@ -64,7 +64,7 @@ chi-squared test as defined in the FOCUS kinetics report from 2006." /> </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -179,8 +179,7 @@ chi-squared test as defined in the FOCUS kinetics report from 2006.</p> <pre class="examples"><div class='input'><span class='no'>SFO_SFO</span> <span class='kw'>=</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span>(<span class='kw'>parent</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>, <span class='kw'>to</span> <span class='kw'>=</span> <span class='st'>"m1"</span>), <span class='kw'>m1</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>), <span class='kw'>use_of_ff</span> <span class='kw'>=</span> <span class='st'>"max"</span>)</div><div class='output co'>#> <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'> -<span class='no'>fit_FOCUS_D</span> <span class='kw'>=</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>SFO_SFO</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) -<span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/Round'>round</a></span>(<span class='fu'>mkinerrmin</span>(<span class='no'>fit_FOCUS_D</span>), <span class='fl'>4</span>)</div><div class='output co'>#> err.min n.optim df +<span class='no'>fit_FOCUS_D</span> <span class='kw'>=</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>SFO_SFO</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/Round'>round</a></span>(<span class='fu'>mkinerrmin</span>(<span class='no'>fit_FOCUS_D</span>), <span class='fl'>4</span>)</div><div class='output co'>#> err.min n.optim df #> All data 0.0640 4 15 #> parent 0.0646 2 7 #> m1 0.0469 2 8</div><div class='input'> <span class='no'>fit_FOCUS_E</span> <span class='kw'>=</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>SFO_SFO</span>, <span class='no'>FOCUS_2006_E</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) diff --git a/docs/reference/mkinfit.html b/docs/reference/mkinfit.html index df30ef09..d3a826b9 100644 --- a/docs/reference/mkinfit.html +++ b/docs/reference/mkinfit.html @@ -32,17 +32,15 @@ <meta property="og:title" content="Fit a kinetic model to data with one or more state variables — mkinfit" /> -<meta property="og:description" content="This function uses the Flexible Modelling Environment package - FME to create a function calculating the model cost, i.e. the - deviation between the kinetic model and the observed data. This model cost is - then minimised using the Port algorithm nlminb, - using the specified initial or fixed parameters and starting values. - Per default, parameters in the kinetic models are internally transformed in order - to better satisfy the assumption of a normal distribution of their estimators. - In each step of the optimsation, the kinetic model is solved using the - function mkinpredict. The variance of the residuals for each - observed variable can optionally be iteratively reweighted until convergence - using the argument reweight.method = "obs"." /> +<meta property="og:description" content="This function maximises the likelihood of the observed data using + the Port algorithm nlminb, and the specified initial or fixed + parameters and starting values. In each step of the optimsation, the kinetic + model is solved using the function mkinpredict. The parameters + of the selected error model are fitted simultaneously with the degradation + model parameters, as both of them are arguments of the likelihood function. +Per default, parameters in the kinetic models are internally transformed in + order to better satisfy the assumption of a normal distribution of their + estimators." /> <meta name="twitter:card" content="summary" /> @@ -73,7 +71,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -138,17 +136,15 @@ <div class="ref-description"> - <p>This function uses the Flexible Modelling Environment package - <code>FME</code> to create a function calculating the model cost, i.e. the - deviation between the kinetic model and the observed data. This model cost is - then minimised using the Port algorithm <code><a href='https://www.rdocumentation.org/packages/stats/topics/nlminb'>nlminb</a></code>, - using the specified initial or fixed parameters and starting values. - Per default, parameters in the kinetic models are internally transformed in order - to better satisfy the assumption of a normal distribution of their estimators. - In each step of the optimsation, the kinetic model is solved using the - function <code><a href='mkinpredict.html'>mkinpredict</a></code>. The variance of the residuals for each - observed variable can optionally be iteratively reweighted until convergence - using the argument <code>reweight.method = "obs"</code>.</p> + <p>This function maximises the likelihood of the observed data using + the Port algorithm <code><a href='https://www.rdocumentation.org/packages/stats/topics/nlminb'>nlminb</a></code>, and the specified initial or fixed + parameters and starting values. In each step of the optimsation, the kinetic + model is solved using the function <code><a href='mkinpredict.html'>mkinpredict</a></code>. The parameters + of the selected error model are fitted simultaneously with the degradation + model parameters, as both of them are arguments of the likelihood function.</p> +<p>Per default, parameters in the kinetic models are internally transformed in + order to better satisfy the assumption of a normal distribution of their + estimators.</p> </div> @@ -160,18 +156,12 @@ <span class='kw'>solution_type</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='st'>"auto"</span>, <span class='st'>"analytical"</span>, <span class='st'>"eigen"</span>, <span class='st'>"deSolve"</span>), <span class='kw'>method.ode</span> <span class='kw'>=</span> <span class='st'>"lsoda"</span>, <span class='kw'>use_compiled</span> <span class='kw'>=</span> <span class='st'>"auto"</span>, - <span class='kw'>method.modFit</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='st'>"Port"</span>, <span class='st'>"Marq"</span>, <span class='st'>"SANN"</span>, <span class='st'>"Nelder-Mead"</span>, <span class='st'>"BFGS"</span>, <span class='st'>"CG"</span>, <span class='st'>"L-BFGS-B"</span>), - <span class='kw'>maxit.modFit</span> <span class='kw'>=</span> <span class='st'>"auto"</span>, - <span class='kw'>control.modFit</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/list'>list</a></span>(), + <span class='kw'>control</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/list'>list</a></span>(<span class='kw'>eval.max</span> <span class='kw'>=</span> <span class='fl'>300</span>, <span class='kw'>iter.max</span> <span class='kw'>=</span> <span class='fl'>200</span>), <span class='kw'>transform_rates</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>transform_fractions</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, - <span class='kw'>plot</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>err</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, - <span class='kw'>weight</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='st'>"none"</span>, <span class='st'>"manual"</span>, <span class='st'>"std"</span>, <span class='st'>"mean"</span>, <span class='st'>"tc"</span>), - <span class='kw'>tc</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='kw'>sigma_low</span> <span class='kw'>=</span> <span class='fl'>0.5</span>, <span class='kw'>rsd_high</span> <span class='kw'>=</span> <span class='fl'>0.07</span>), - <span class='kw'>scaleVar</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, + <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>atol</span> <span class='kw'>=</span> <span class='fl'>1e-8</span>, <span class='kw'>rtol</span> <span class='kw'>=</span> <span class='fl'>1e-10</span>, <span class='kw'>n.outtimes</span> <span class='kw'>=</span> <span class='fl'>100</span>, - <span class='kw'>reweight.method</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, - <span class='kw'>reweight.tol</span> <span class='kw'>=</span> <span class='fl'>1e-8</span>, <span class='kw'>reweight.max.iter</span> <span class='kw'>=</span> <span class='fl'>10</span>, + <span class='kw'>error_model</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='st'>"const"</span>, <span class='st'>"obs"</span>, <span class='st'>"tc"</span>), <span class='kw'>trace_parms</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='no'>...</span>)</pre> <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2> @@ -181,20 +171,20 @@ <th>mkinmod</th> <td><p>A list of class <code><a href='mkinmod.html'>mkinmod</a></code>, containing the kinetic model to be fitted to the data, or one of the shorthand names ("SFO", "FOMC", "DFOP", - "HS", "SFORB"). If a shorthand name is given, a parent only degradation + "HS", "SFORB", "IORE"). If a shorthand name is given, a parent only degradation model is generated for the variable with the highest value in <code>observed</code>.</p></td> </tr> <tr> <th>observed</th> - <td><p>The observed data. It has to be in the long format as described in - <code>modFit</code>, i.e. the first column called "name" must contain the - name of the observed variable for each data point. The second column must - contain the times of observation, named "time". The third column must be - named "value" and contain the observed values. Optionally, a further column - can contain weights for each data point. Its name must be passed as a - further argument named <code>err</code> which is then passed on to - <code>modFit</code>.</p></td> + <td><p>A dataframe with the observed data. The first column called "name" must + contain the name of the observed variable for each data point. The second + column must contain the times of observation, named "time". The third + column must be named "value" and contain the observed values. Zero values + in the "value" column will be removed, with a warning, in order to + avoid problems with fitting the two-component error model. This is not + expected to be a problem, because in general, values of zero are not + observed in degradation data, because there is a lower limit of detection.</p></td> </tr> <tr> <th>parms.ini</th> @@ -247,10 +237,10 @@ solution of the model is used. This is only implemented for simple degradation experiments with only one state variable, i.e. with no metabolites. The default is "auto", which uses "analytical" if possible, - otherwise "eigen" if the model can be expressed using eigenvalues and - eigenvectors, and finally "deSolve" for the remaining models (time - dependence of degradation rates and metabolites). This argument is passed - on to the helper function <code><a href='mkinpredict.html'>mkinpredict</a></code>.</p></td> + otherwise "deSolve" if a compiler is present, and "eigen" if no + compiler is present and the model can be expressed using eigenvalues and + eigenvectors. This argument is passed on to the helper function + <code><a href='mkinpredict.html'>mkinpredict</a></code>.</p></td> </tr> <tr> <th>method.ode</th> @@ -261,36 +251,12 @@ <tr> <th>use_compiled</th> <td><p>If set to <code>FALSE</code>, no compiled version of the <code><a href='mkinmod.html'>mkinmod</a></code> - model is used, in the calls to <code><a href='mkinpredict.html'>mkinpredict</a></code> even if - a compiled verion is present.</p></td> + model is used in the calls to <code><a href='mkinpredict.html'>mkinpredict</a></code> even if a compiled + version is present.</p></td> </tr> <tr> - <th>method.modFit</th> - <td><p>The optimisation method passed to <code>modFit</code>.</p> -<p>In order to optimally deal with problems where local minima occur, the - "Port" algorithm is now used per default as it is less prone to get trapped - in local minima and depends less on starting values for parameters than - the Levenberg Marquardt variant selected by "Marq". However, "Port" needs - more iterations.</p> -<p>The former default "Marq" is the Levenberg Marquardt algorithm - <code>nls.lm</code> from the package <code>minpack.lm</code> and usually needs - the least number of iterations.</p> -<p>The "Pseudo" algorithm is not included because it needs finite parameter bounds - which are currently not supported.</p> -<p>The "Newton" algorithm is not included because its number of iterations - can not be controlled by <code>control.modFit</code> and it does not appear - to provide advantages over the other algorithms.</p></td> - </tr> - <tr> - <th>maxit.modFit</th> - <td><p>Maximum number of iterations in the optimisation. If not "auto", this will - be passed to the method called by <code>modFit</code>, overriding - what may be specified in the next argument <code>control.modFit</code>.</p></td> - </tr> - <tr> - <th>control.modFit</th> - <td><p>Additional arguments passed to the optimisation method used by - <code>modFit</code>.</p></td> + <th>control</th> + <td><p>A list of control arguments passed to <code><a href='https://www.rdocumentation.org/packages/stats/topics/nlminb'>nlminb</a></code>.</p></td> </tr> <tr> <th>transform_rates</th> @@ -299,8 +265,8 @@ assumption of normal distribution of the estimator. If TRUE, also alpha and beta parameters of the FOMC model are log-transformed, as well as k1 and k2 rate constants for the DFOP and HS models and the break point - tb of the HS model. - If FALSE, zero is used as a lower bound for the rates in the optimisation.</p></td> + tb of the HS model. If FALSE, zero is used as a lower bound for the rates + in the optimisation.</p></td> </tr> <tr> <th>transform_fractions</th> @@ -313,36 +279,9 @@ <code><a href='ilr.html'>ilr</a></code> transformation.</p></td> </tr> <tr> - <th>plot</th> - <td><p>Should the observed values and the numerical solutions be plotted at each - stage of the optimisation?</p></td> - </tr> - <tr> <th>quiet</th> - <td><p>Suppress printing out the current model cost after each improvement?</p></td> - </tr> - <tr> - <th>err </th> - <td><p>either <code>NULL</code>, or the name of the column with the - <em>error</em> estimates, used to weigh the residuals (see details of - <code>modCost</code>); if <code>NULL</code>, then the residuals are not weighed.</p></td> - </tr> - <tr> - <th>weight</th> - <td><p>only if <code>err</code>=<code>NULL</code>: how to weight the residuals, one of "none", - "std", "mean", see details of <code>modCost</code>, or "tc" for the - two component error model. The option "manual" is available for - the case that <code>err</code>!=<code>NULL</code>, but it is not necessary to specify it.</p></td> - </tr> - <tr> - <th>tc</th> - <td><p>The two components of the error model as used for (initial) - weighting</p></td> - </tr> - <tr> - <th>scaleVar</th> - <td><p>Will be passed to <code>modCost</code>. Default is not to scale Variables - according to the number of observations.</p></td> + <td><p>Suppress printing out the current value of the negative log-likelihood + after each improvement?</p></td> </tr> <tr> <th>atol</th> @@ -362,35 +301,17 @@ The default value is 100.</p></td> </tr> <tr> - <th>reweight.method</th> - <td><p>The method used for iteratively reweighting residuals, also known - as iteratively reweighted least squares (IRLS). Default is NULL, - i.e. no iterative weighting. - The first reweighting method is called "obs", meaning that each - observed variable is assumed to have its own variance. This variance - is estimated from the fit (mean squared residuals) and used for weighting - the residuals in each iteration until convergence of this estimate up to - <code>reweight.tol</code> or up to the maximum number of iterations - specified by <code>reweight.max.iter</code>. - The second reweighting method is called "tc" (two-component error model). - When using this method, the two components of an error model similar to - the one described by - Rocke and Lorenzato (1995) are estimated from the fit and the resulting - variances are used for weighting the residuals in each iteration until - convergence of these components or up to the maximum number of iterations - specified. Note that this method deviates from the model by Rocke and - Lorenzato, as their model implies that the errors follow a lognormal - distribution for large values, not a normal distribution as assumed by this - method.</p></td> - </tr> - <tr> - <th>reweight.tol</th> - <td><p>Tolerance for convergence criterion for the variance components - in IRLS fits.</p></td> - </tr> - <tr> - <th>reweight.max.iter</th> - <td><p>Maximum iterations in IRLS fits.</p></td> + <th>error_model</th> + <td><p>If the error model is "const", a constant standard deviation + is assumed.</p> +<p>If the error model is "obs", each observed variable is assumed to have its + own variance.</p> +<p>If the error model is "tc" (two-component error model), a two component + error model similar to the one described by Rocke and Lorenzato (1995) is + used for setting up the likelihood function. Note that this model deviates + from the model by Rocke and Lorenzato, as their model implies that the + errors follow a lognormal distribution for large values, not a normal + distribution as assumed by this method.</p></td> </tr> <tr> <th>trace_parms</th> @@ -398,19 +319,18 @@ </tr> <tr> <th>…</th> - <td><p>Further arguments that will be passed to <code>modFit</code>.</p></td> + <td><p>Further arguments that will be passed on to <code>deSolve</code>.</p></td> </tr> </table> <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2> - <p>A list with "mkinfit" and "modFit" in the class attribute. - A summary can be obtained by <code><a href='summary.mkinfit.html'>summary.mkinfit</a></code>.</p> + <p>A list with "mkinfit" in the class attribute. A summary can be obtained by + <code><a href='summary.mkinfit.html'>summary.mkinfit</a></code>.</p> <h2 class="hasAnchor" id="see-also"><a class="anchor" href="#see-also"></a>See also</h2> - <div class='dont-index'><p>Plotting methods <code><a href='plot.mkinfit.html'>plot.mkinfit</a></code> and - <code><a href='mkinparplot.html'>mkinparplot</a></code>.</p> + <div class='dont-index'><p>Plotting methods <code><a href='plot.mkinfit.html'>plot.mkinfit</a></code> and <code><a href='mkinparplot.html'>mkinparplot</a></code>.</p> <p>Comparisons of models fitted to the same data can be made using <code><a href='https://www.rdocumentation.org/packages/stats/topics/AIC'>AIC</a></code> by virtue of the method <code><a href='logLik.mkinfit.html'>logLik.mkinfit</a></code>.</p> <p>Fitting of several models to several datasets in a single call to @@ -418,13 +338,6 @@ <h2 class="hasAnchor" id="note"><a class="anchor" href="#note"></a>Note</h2> - <p>The implementation of iteratively reweighted least squares is inspired by the - work of the KinGUII team at Bayer Crop Science (Walter Schmitt and Zhenglei - Gao). A similar implemention can also be found in CAKE 2.0, which is the - other GUI derivative of mkin, sponsored by Syngenta.</p> - - <h2 class="hasAnchor" id="note"><a class="anchor" href="#note"></a>Note</h2> - <p>When using the "IORE" submodel for metabolites, fitting with "transform_rates = TRUE" (the default) often leads to failures of the numerical ODE solver. In this situation it may help to switch off the @@ -439,57 +352,61 @@ <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2> <pre class="examples"><div class='input'><span class='co'># Use shorthand notation for parent only degradation</span> <span class='no'>fit</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='st'>"FOMC"</span>, <span class='no'>FOCUS_2006_C</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) -<span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>fit</span>)</div><div class='output co'>#> mkin version used for fitting: 0.9.48.1 -#> R version used for fitting: 3.5.2 -#> Date of fit: Mon Mar 4 14:05:12 2019 -#> Date of summary: Mon Mar 4 14:05:12 2019 +<span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>fit</span>)</div><div class='output co'>#> mkin version used for fitting: 0.9.49.4 +#> R version used for fitting: 3.5.3 +#> Date of fit: Wed Apr 10 10:10:01 2019 +#> Date of summary: Wed Apr 10 10:10:01 2019 #> #> Equations: #> d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent #> #> Model predictions using solution type analytical #> -#> Fitted with method Port using 64 model solutions performed in 0.159 s +#> Fitted with method using 221 model solutions performed in 0.508 s #> -#> Weighting: none +#> Error model: +#> NULL #> #> Starting values for parameters to be optimised: -#> value type -#> parent_0 85.1 state -#> alpha 1.0 deparm -#> beta 10.0 deparm +#> value type +#> parent_0 85.100000 state +#> alpha 1.000000 deparm +#> beta 10.000000 deparm +#> sigma 1.857444 error #> #> Starting values for the transformed parameters actually optimised: #> value lower upper #> parent_0 85.100000 -Inf Inf #> log_alpha 0.000000 -Inf Inf #> log_beta 2.302585 -Inf Inf +#> sigma 1.857444 0 Inf #> #> Fixed parameter values: #> None #> #> Optimised, transformed parameters with symmetric confidence intervals: #> Estimate Std. Error Lower Upper -#> parent_0 85.87000 2.2460 80.38000 91.3700 -#> log_alpha 0.05192 0.1605 -0.34080 0.4446 -#> log_beta 0.65100 0.2801 -0.03452 1.3360 +#> parent_0 85.87000 1.8070 81.23000 90.5200 +#> log_alpha 0.05192 0.1353 -0.29580 0.3996 +#> log_beta 0.65100 0.2287 0.06315 1.2390 +#> sigma 1.85700 0.4378 0.73200 2.9830 #> #> Parameter correlation: -#> parent_0 log_alpha log_beta -#> parent_0 1.0000 -0.2033 -0.3624 -#> log_alpha -0.2033 1.0000 0.9547 -#> log_beta -0.3624 0.9547 1.0000 -#> -#> Residual standard error: 2.275 on 6 degrees of freedom +#> parent_0 log_alpha log_beta sigma +#> parent_0 1.000e+00 -1.565e-01 -3.142e-01 -1.313e-07 +#> log_alpha -1.565e-01 1.000e+00 9.564e-01 -2.634e-07 +#> log_beta -3.142e-01 9.564e-01 1.000e+00 -2.200e-07 +#> sigma -1.313e-07 -2.634e-07 -2.200e-07 1.000e+00 #> #> Backtransformed parameters: #> Confidence intervals for internally transformed parameters are asymmetric. #> t-test (unrealistically) based on the assumption of normal distribution #> for estimators of untransformed parameters. #> Estimate t value Pr(>t) Lower Upper -#> parent_0 85.870 38.230 1.069e-08 80.3800 91.370 -#> alpha 1.053 6.231 3.953e-04 0.7112 1.560 -#> beta 1.917 3.570 5.895e-03 0.9661 3.806 +#> parent_0 85.870 47.530 3.893e-08 81.2300 90.520 +#> alpha 1.053 7.393 3.562e-04 0.7439 1.491 +#> beta 1.917 4.373 3.601e-03 1.0650 3.451 +#> sigma 1.857 4.243 4.074e-03 0.7320 2.983 #> #> Chi2 error levels in percent: #> err.min n.optim df @@ -517,9 +434,8 @@ <span class='kw'>parent</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>, <span class='st'>"m1"</span>), <span class='kw'>m1</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>))</div><div class='output co'>#> <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'><span class='co'># Fit the model to the FOCUS example dataset D using defaults</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/print'>print</a></span>(<span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/system.time'>system.time</a></span>(<span class='no'>fit</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='no'>SFO_SFO</span>, <span class='no'>FOCUS_2006_D</span>, - <span class='kw'>solution_type</span> <span class='kw'>=</span> <span class='st'>"eigen"</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)))</div><div class='output co'>#> User System verstrichen -#> 1.013 0.000 1.014 </div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/coef'>coef</a></span>(<span class='no'>fit</span>)</div><div class='output co'>#> parent_0 log_k_parent_sink log_k_parent_m1 log_k_m1_sink -#> 99.59848 -3.03822 -2.98030 -5.24750 </div><div class='input'><span class='fu'><a href='endpoints.html'>endpoints</a></span>(<span class='no'>fit</span>)</div><div class='output co'>#> $ff + <span class='kw'>solution_type</span> <span class='kw'>=</span> <span class='st'>"eigen"</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)))</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='output co'>#> User System verstrichen +#> 1.653 0.000 1.653 </div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/coef'>coef</a></span>(<span class='no'>fit</span>)</div><div class='output co'>#> NULL</div><div class='input'><span class='fu'><a href='endpoints.html'>endpoints</a></span>(<span class='no'>fit</span>)</div><div class='output co'>#> $ff #> parent_sink parent_m1 m1_sink #> 0.485524 0.514476 1.000000 #> @@ -528,73 +444,75 @@ #> #> $distimes #> DT50 DT90 -#> parent 7.022929 23.32967 -#> m1 131.760712 437.69961 +#> parent 7.022928 23.32966 +#> m1 131.760715 437.69962 #> </div><div class='input'><span class='co'># deSolve is slower when no C compiler (gcc) was available during model generation</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/print'>print</a></span>(<span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/system.time'>system.time</a></span>(<span class='no'>fit.deSolve</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='no'>SFO_SFO</span>, <span class='no'>FOCUS_2006_D</span>, - <span class='kw'>solution_type</span> <span class='kw'>=</span> <span class='st'>"deSolve"</span>)))</div><div class='output co'>#> Model cost at call 1 : 18915.53 -#> Model cost at call 2 : 18915.53 -#> Model cost at call 6 : 11424.02 -#> Model cost at call 10 : 11424 -#> Model cost at call 12 : 4094.396 -#> Model cost at call 16 : 4094.396 -#> Model cost at call 19 : 1340.595 -#> Model cost at call 20 : 1340.593 -#> Model cost at call 25 : 1072.239 -#> Model cost at call 28 : 1072.236 -#> Model cost at call 30 : 874.2615 -#> Model cost at call 33 : 874.2611 -#> Model cost at call 35 : 616.2377 -#> Model cost at call 37 : 616.2372 -#> Model cost at call 40 : 467.4386 -#> Model cost at call 42 : 467.4381 -#> Model cost at call 46 : 398.2914 -#> Model cost at call 48 : 398.2914 -#> Model cost at call 49 : 398.2913 -#> Model cost at call 51 : 395.0712 -#> Model cost at call 54 : 395.0711 -#> Model cost at call 56 : 378.3298 -#> Model cost at call 59 : 378.3298 -#> Model cost at call 62 : 376.9812 -#> Model cost at call 64 : 376.9811 -#> Model cost at call 67 : 375.2085 -#> Model cost at call 69 : 375.2085 -#> Model cost at call 70 : 375.2085 -#> Model cost at call 71 : 375.2085 -#> Model cost at call 72 : 374.5723 -#> Model cost at call 74 : 374.5723 -#> Model cost at call 77 : 374.0075 -#> Model cost at call 79 : 374.0075 -#> Model cost at call 80 : 374.0075 -#> Model cost at call 82 : 373.1711 -#> Model cost at call 84 : 373.1711 -#> Model cost at call 87 : 372.6445 -#> Model cost at call 88 : 372.1614 -#> Model cost at call 90 : 372.1614 -#> Model cost at call 91 : 372.1614 -#> Model cost at call 94 : 371.6464 -#> Model cost at call 99 : 371.4299 -#> Model cost at call 101 : 371.4299 -#> Model cost at call 104 : 371.4071 -#> Model cost at call 106 : 371.4071 -#> Model cost at call 107 : 371.4071 -#> Model cost at call 109 : 371.2524 -#> Model cost at call 113 : 371.2524 -#> Model cost at call 114 : 371.2136 -#> Model cost at call 115 : 371.2136 -#> Model cost at call 116 : 371.2136 -#> Model cost at call 119 : 371.2134 -#> Model cost at call 120 : 371.2134 -#> Model cost at call 122 : 371.2134 -#> Model cost at call 123 : 371.2134 -#> Model cost at call 125 : 371.2134 -#> Model cost at call 126 : 371.2134 -#> Model cost at call 135 : 371.2134 -#> Model cost at call 146 : 371.2134 -#> Optimisation by method Port successfully terminated. + <span class='kw'>solution_type</span> <span class='kw'>=</span> <span class='st'>"deSolve"</span>)))</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='output co'>#> Negative log-likelihood at call 1: 18915.53 +#> Negative log-likelihood at call 2: 18915.53 +#> Negative log-likelihood at call 6: 11424.02 +#> Negative log-likelihood at call 10: 11424 +#> Negative log-likelihood at call 13: 2367.052 +#> Negative log-likelihood at call 14: 2367.05 +#> Negative log-likelihood at call 19: 1314.716 +#> Negative log-likelihood at call 22: 1314.714 +#> Negative log-likelihood at call 25: 991.8311 +#> Negative log-likelihood at call 28: 991.8305 +#> Negative log-likelihood at call 30: 893.6462 +#> Negative log-likelihood at call 33: 893.6457 +#> Negative log-likelihood at call 35: 569.4049 +#> Negative log-likelihood at call 38: 569.4047 +#> Negative log-likelihood at call 40: 565.0651 +#> Negative log-likelihood at call 41: 565.065 +#> Negative log-likelihood at call 42: 565.0637 +#> Negative log-likelihood at call 45: 428.0188 +#> Negative log-likelihood at call 46: 428.0185 +#> Negative log-likelihood at call 50: 406.732 +#> Negative log-likelihood at call 52: 406.732 +#> Negative log-likelihood at call 55: 398.9115 +#> Negative log-likelihood at call 57: 398.9113 +#> Negative log-likelihood at call 60: 394.5943 +#> Negative log-likelihood at call 62: 394.5943 +#> Negative log-likelihood at call 66: 385.26 +#> Negative log-likelihood at call 67: 385.2599 +#> Negative log-likelihood at call 69: 385.2599 +#> Negative log-likelihood at call 70: 385.2597 +#> Negative log-likelihood at call 71: 374.7604 +#> Negative log-likelihood at call 72: 374.7603 +#> Negative log-likelihood at call 76: 373.199 +#> Negative log-likelihood at call 79: 373.199 +#> Negative log-likelihood at call 80: 373.199 +#> Negative log-likelihood at call 81: 372.3772 +#> Negative log-likelihood at call 84: 372.3772 +#> Negative log-likelihood at call 86: 371.2615 +#> Negative log-likelihood at call 89: 371.2615 +#> Negative log-likelihood at call 90: 371.2615 +#> Negative log-likelihood at call 92: 371.2439 +#> Negative log-likelihood at call 93: 371.2439 +#> Negative log-likelihood at call 94: 371.2439 +#> Negative log-likelihood at call 97: 371.2198 +#> Negative log-likelihood at call 98: 371.2198 +#> Negative log-likelihood at call 102: 371.2174 +#> Negative log-likelihood at call 104: 371.2174 +#> Negative log-likelihood at call 107: 371.2147 +#> Negative log-likelihood at call 110: 371.2147 +#> Negative log-likelihood at call 111: 371.2147 +#> Negative log-likelihood at call 112: 371.2145 +#> Negative log-likelihood at call 113: 371.2145 +#> Negative log-likelihood at call 116: 371.2145 +#> Negative log-likelihood at call 119: 371.2135 +#> Negative log-likelihood at call 121: 371.2135 +#> Negative log-likelihood at call 124: 371.2135 +#> Negative log-likelihood at call 126: 371.2135 +#> Negative log-likelihood at call 127: 371.2135 +#> Negative log-likelihood at call 133: 371.2134 +#> Negative log-likelihood at call 135: 371.2134 +#> Negative log-likelihood at call 138: 371.2134 +#> Negative log-likelihood at call 142: 371.2134 +#> Negative log-likelihood at call 152: 97.22429 +#> Optimisation successfully terminated. #> User System verstrichen -#> 0.821 0.000 0.822 </div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/coef'>coef</a></span>(<span class='no'>fit.deSolve</span>)</div><div class='output co'>#> parent_0 log_k_parent_sink log_k_parent_m1 log_k_m1_sink -#> 99.59848 -3.03822 -2.98030 -5.24750 </div><div class='input'><span class='fu'><a href='endpoints.html'>endpoints</a></span>(<span class='no'>fit.deSolve</span>)</div><div class='output co'>#> $ff +#> 1.136 0.000 1.135 </div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/coef'>coef</a></span>(<span class='no'>fit.deSolve</span>)</div><div class='output co'>#> NULL</div><div class='input'><span class='fu'><a href='endpoints.html'>endpoints</a></span>(<span class='no'>fit.deSolve</span>)</div><div class='output co'>#> $ff #> parent_sink parent_m1 m1_sink #> 0.485524 0.514476 1.000000 #> @@ -603,36 +521,31 @@ #> #> $distimes #> DT50 DT90 -#> parent 7.022929 23.32967 -#> m1 131.760711 437.69961 +#> parent 7.022928 23.32966 +#> m1 131.760710 437.69961 #> </div><div class='input'> # Use stepwise fitting, using optimised parameters from parent only fit, FOMC </div><div class='input'><span class='no'>FOMC_SFO</span> <span class='kw'><-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span>( <span class='kw'>parent</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"FOMC"</span>, <span class='st'>"m1"</span>), <span class='kw'>m1</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>))</div><div class='output co'>#> <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'><span class='co'># Fit the model to the FOCUS example dataset D using defaults</span> -<span class='no'>fit.FOMC_SFO</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='no'>FOMC_SFO</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) -<span class='co'># Use starting parameters from parent only FOMC fit</span> +<span class='no'>fit.FOMC_SFO</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='no'>FOMC_SFO</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'><span class='co'># Use starting parameters from parent only FOMC fit</span> <span class='no'>fit.FOMC</span> <span class='kw'>=</span> <span class='fu'>mkinfit</span>(<span class='st'>"FOMC"</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) <span class='no'>fit.FOMC_SFO</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='no'>FOMC_SFO</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, - <span class='kw'>parms.ini</span> <span class='kw'>=</span> <span class='no'>fit.FOMC</span>$<span class='no'>bparms.ode</span>) - + <span class='kw'>parms.ini</span> <span class='kw'>=</span> <span class='no'>fit.FOMC</span>$<span class='no'>bparms.ode</span>)</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'> <span class='co'># Use stepwise fitting, using optimised parameters from parent only fit, SFORB</span> <span class='no'>SFORB_SFO</span> <span class='kw'><-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span>( <span class='kw'>parent</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/list'>list</a></span>(<span class='kw'>type</span> <span class='kw'>=</span> <span class='st'>"SFORB"</span>, <span class='kw'>to</span> <span class='kw'>=</span> <span class='st'>"m1"</span>, <span class='kw'>sink</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>), <span class='kw'>m1</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/list'>list</a></span>(<span class='kw'>type</span> <span class='kw'>=</span> <span class='st'>"SFO"</span>))</div><div class='output co'>#> <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'><span class='co'># Fit the model to the FOCUS example dataset D using defaults</span> -<span class='no'>fit.SFORB_SFO</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='no'>SFORB_SFO</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) -<span class='no'>fit.SFORB_SFO.deSolve</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='no'>SFORB_SFO</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>solution_type</span> <span class='kw'>=</span> <span class='st'>"deSolve"</span>, - <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) -<span class='co'># Use starting parameters from parent only SFORB fit (not really needed in this case)</span> +<span class='no'>fit.SFORB_SFO</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='no'>SFORB_SFO</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'><span class='no'>fit.SFORB_SFO.deSolve</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='no'>SFORB_SFO</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>solution_type</span> <span class='kw'>=</span> <span class='st'>"deSolve"</span>, + <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'><span class='co'># Use starting parameters from parent only SFORB fit (not really needed in this case)</span> <span class='no'>fit.SFORB</span> <span class='kw'>=</span> <span class='fu'>mkinfit</span>(<span class='st'>"SFORB"</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) -<span class='no'>fit.SFORB_SFO</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='no'>SFORB_SFO</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>parms.ini</span> <span class='kw'>=</span> <span class='no'>fit.SFORB</span>$<span class='no'>bparms.ode</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='input'> +<span class='no'>fit.SFORB_SFO</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='no'>SFORB_SFO</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>parms.ini</span> <span class='kw'>=</span> <span class='no'>fit.SFORB</span>$<span class='no'>bparms.ode</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'> </div><div class='input'><span class='co'># Weighted fits, including IRLS</span> <span class='no'>SFO_SFO.ff</span> <span class='kw'><-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span>(<span class='kw'>parent</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>, <span class='st'>"m1"</span>), - <span class='kw'>m1</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>), <span class='kw'>use_of_ff</span> <span class='kw'>=</span> <span class='st'>"max"</span>)</div><div class='output co'>#> <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'><span class='no'>f.noweight</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='no'>SFO_SFO.ff</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) -<span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>f.noweight</span>)</div><div class='output co'>#> mkin version used for fitting: 0.9.48.1 -#> R version used for fitting: 3.5.2 -#> Date of fit: Mon Mar 4 14:05:24 2019 -#> Date of summary: Mon Mar 4 14:05:24 2019 + <span class='kw'>m1</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>), <span class='kw'>use_of_ff</span> <span class='kw'>=</span> <span class='st'>"max"</span>)</div><div class='output co'>#> <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'><span class='no'>f.noweight</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='no'>SFO_SFO.ff</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>f.noweight</span>)</div><div class='output co'>#> mkin version used for fitting: 0.9.49.4 +#> R version used for fitting: 3.5.3 +#> Date of fit: Wed Apr 10 10:10:17 2019 +#> Date of summary: Wed Apr 10 10:10:17 2019 #> #> Equations: #> d_parent/dt = - k_parent * parent @@ -640,16 +553,18 @@ #> #> Model predictions using solution type deSolve #> -#> Fitted with method Port using 186 model solutions performed in 0.841 s +#> Fitted with method using 404 model solutions performed in 1.105 s #> -#> Weighting: none +#> Error model: +#> NULL #> #> Starting values for parameters to be optimised: -#> value type -#> parent_0 100.7500 state -#> k_parent 0.1000 deparm -#> k_m1 0.1001 deparm -#> f_parent_to_m1 0.5000 deparm +#> value type +#> parent_0 100.750000 state +#> k_parent 0.100000 deparm +#> k_m1 0.100100 deparm +#> f_parent_to_m1 0.500000 deparm +#> sigma 3.125504 error #> #> Starting values for the transformed parameters actually optimised: #> value lower upper @@ -657,36 +572,38 @@ #> log_k_parent -2.302585 -Inf Inf #> log_k_m1 -2.301586 -Inf Inf #> f_parent_ilr_1 0.000000 -Inf Inf +#> sigma 3.125504 0 Inf #> #> Fixed parameter values: #> value type #> m1_0 0 state #> #> Optimised, transformed parameters with symmetric confidence intervals: -#> Estimate Std. Error Lower Upper -#> parent_0 99.60000 1.61400 96.3300 102.9000 -#> log_k_parent -2.31600 0.04187 -2.4010 -2.2310 -#> log_k_m1 -5.24800 0.13610 -5.5230 -4.9720 -#> f_parent_ilr_1 0.04096 0.06477 -0.0904 0.1723 +#> Estimate Std. Error Lower Upper +#> parent_0 99.60000 1.57000 96.40000 102.8000 +#> log_k_parent -2.31600 0.04087 -2.39900 -2.2330 +#> log_k_m1 -5.24800 0.13320 -5.51800 -4.9770 +#> f_parent_ilr_1 0.04096 0.06312 -0.08746 0.1694 +#> sigma 3.12600 0.35850 2.39600 3.8550 #> #> Parameter correlation: -#> parent_0 log_k_parent log_k_m1 f_parent_ilr_1 -#> parent_0 1.0000 0.5178 -0.1701 -0.5489 -#> log_k_parent 0.5178 1.0000 -0.3285 -0.5451 -#> log_k_m1 -0.1701 -0.3285 1.0000 0.7466 -#> f_parent_ilr_1 -0.5489 -0.5451 0.7466 1.0000 -#> -#> Residual standard error: 3.211 on 36 degrees of freedom +#> parent_0 log_k_parent log_k_m1 f_parent_ilr_1 sigma +#> parent_0 1.000e+00 5.174e-01 -1.688e-01 -5.471e-01 -5.940e-09 +#> log_k_parent 5.174e-01 1.000e+00 -3.263e-01 -5.426e-01 -1.406e-08 +#> log_k_m1 -1.688e-01 -3.263e-01 1.000e+00 7.478e-01 -2.306e-08 +#> f_parent_ilr_1 -5.471e-01 -5.426e-01 7.478e-01 1.000e+00 -6.664e-09 +#> sigma -5.940e-09 -1.406e-08 -2.306e-08 -6.664e-09 1.000e+00 #> #> Backtransformed parameters: #> Confidence intervals for internally transformed parameters are asymmetric. #> t-test (unrealistically) based on the assumption of normal distribution #> for estimators of untransformed parameters. #> Estimate t value Pr(>t) Lower Upper -#> parent_0 99.600000 61.720 2.024e-38 96.330000 1.029e+02 -#> k_parent 0.098700 23.880 5.700e-24 0.090660 1.074e-01 -#> k_m1 0.005261 7.349 5.758e-09 0.003992 6.933e-03 -#> f_parent_to_m1 0.514500 22.490 4.375e-23 0.468100 5.606e-01 +#> parent_0 99.600000 63.430 2.298e-36 96.400000 1.028e+02 +#> k_parent 0.098700 24.470 4.955e-23 0.090820 1.073e-01 +#> k_m1 0.005261 7.510 6.165e-09 0.004012 6.898e-03 +#> f_parent_to_m1 0.514500 23.070 3.104e-22 0.469100 5.596e-01 +#> sigma 3.126000 8.718 2.235e-10 2.396000 3.855e+00 #> #> Chi2 error levels in percent: #> err.min n.optim df @@ -710,10 +627,10 @@ #> 0 parent 102.04 99.59848 2.442e+00 #> 1 parent 93.50 90.23787 3.262e+00 #> 1 parent 92.50 90.23787 2.262e+00 -#> 3 parent 63.23 74.07319 -1.084e+01 -#> 3 parent 68.99 74.07319 -5.083e+00 -#> 7 parent 52.32 49.91206 2.408e+00 -#> 7 parent 55.13 49.91206 5.218e+00 +#> 3 parent 63.23 74.07320 -1.084e+01 +#> 3 parent 68.99 74.07320 -5.083e+00 +#> 7 parent 52.32 49.91207 2.408e+00 +#> 7 parent 55.13 49.91207 5.218e+00 #> 14 parent 27.27 25.01257 2.257e+00 #> 14 parent 26.64 25.01257 1.627e+00 #> 21 parent 11.50 12.53462 -1.035e+00 @@ -723,9 +640,7 @@ #> 50 parent 0.69 0.71624 -2.624e-02 #> 50 parent 0.63 0.71624 -8.624e-02 #> 75 parent 0.05 0.06074 -1.074e-02 -#> 75 parent 0.06 0.06074 -7.381e-04 -#> 0 m1 0.00 0.00000 0.000e+00 -#> 0 m1 0.00 0.00000 0.000e+00 +#> 75 parent 0.06 0.06074 -7.382e-04 #> 1 m1 4.84 4.80296 3.704e-02 #> 1 m1 5.64 4.80296 8.370e-01 #> 3 m1 12.91 13.02400 -1.140e-01 @@ -745,11 +660,10 @@ #> 100 m1 31.04 31.98163 -9.416e-01 #> 100 m1 33.13 31.98163 1.148e+00 #> 120 m1 25.15 28.78984 -3.640e+00 -#> 120 m1 33.31 28.78984 4.520e+00</div><div class='input'><span class='no'>f.irls</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='no'>SFO_SFO.ff</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>reweight.method</span> <span class='kw'>=</span> <span class='st'>"obs"</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) -<span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>f.irls</span>)</div><div class='output co'>#> mkin version used for fitting: 0.9.48.1 -#> R version used for fitting: 3.5.2 -#> Date of fit: Mon Mar 4 14:05:26 2019 -#> Date of summary: Mon Mar 4 14:05:26 2019 +#> 120 m1 33.31 28.78984 4.520e+00</div><div class='input'><span class='no'>f.obs</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='no'>SFO_SFO.ff</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>error_model</span> <span class='kw'>=</span> <span class='st'>"obs"</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>f.obs</span>)</div><div class='output co'>#> mkin version used for fitting: 0.9.49.4 +#> R version used for fitting: 3.5.3 +#> Date of fit: Wed Apr 10 10:10:19 2019 +#> Date of summary: Wed Apr 10 10:10:19 2019 #> #> Equations: #> d_parent/dt = - k_parent * parent @@ -757,131 +671,10 @@ #> #> Model predictions using solution type deSolve #> -#> Fitted with method Port using 551 model solutions performed in 2.517 s +#> Fitted with method using 558 model solutions performed in 1.602 s #> -#> Weighting: none -#> -#> Iterative reweighting with method obs -#> Final mean squared residuals of observed variables: -#> parent m1 -#> 11.573407 7.407845 -#> -#> Starting values for parameters to be optimised: -#> value type -#> parent_0 100.7500 state -#> k_parent 0.1000 deparm -#> k_m1 0.1001 deparm -#> f_parent_to_m1 0.5000 deparm -#> -#> Starting values for the transformed parameters actually optimised: -#> value lower upper -#> parent_0 100.750000 -Inf Inf -#> log_k_parent -2.302585 -Inf Inf -#> log_k_m1 -2.301586 -Inf Inf -#> f_parent_ilr_1 0.000000 -Inf Inf -#> -#> Fixed parameter values: -#> value type -#> m1_0 0 state -#> -#> Optimised, transformed parameters with symmetric confidence intervals: -#> Estimate Std. Error Lower Upper -#> parent_0 99.67000 1.79200 96.04000 103.300 -#> log_k_parent -2.31200 0.04560 -2.40400 -2.219 -#> log_k_m1 -5.25100 0.12510 -5.50500 -4.998 -#> f_parent_ilr_1 0.03785 0.06318 -0.09027 0.166 -#> -#> Parameter correlation: -#> parent_0 log_k_parent log_k_m1 f_parent_ilr_1 -#> parent_0 1.0000 0.5083 -0.1979 -0.6148 -#> log_k_parent 0.5083 1.0000 -0.3894 -0.6062 -#> log_k_m1 -0.1979 -0.3894 1.0000 0.7417 -#> f_parent_ilr_1 -0.6148 -0.6062 0.7417 1.0000 -#> -#> Residual standard error: 1.054 on 36 degrees of freedom -#> -#> Backtransformed parameters: -#> Confidence intervals for internally transformed parameters are asymmetric. -#> t-test (unrealistically) based on the assumption of normal distribution -#> for estimators of untransformed parameters. -#> Estimate t value Pr(>t) Lower Upper -#> parent_0 99.67000 55.630 8.185e-37 96.040000 1.033e+02 -#> k_parent 0.09906 21.930 1.016e-22 0.090310 1.087e-01 -#> k_m1 0.00524 7.996 8.486e-10 0.004066 6.753e-03 -#> f_parent_to_m1 0.51340 23.000 2.038e-23 0.468100 5.584e-01 -#> -#> Chi2 error levels in percent: -#> err.min n.optim df -#> All data 6.399 4 15 -#> parent 6.466 2 7 -#> m1 4.679 2 8 -#> -#> Resulting formation fractions: -#> ff -#> parent_m1 0.5134 -#> parent_sink 0.4866 -#> -#> Estimated disappearance times: -#> DT50 DT90 -#> parent 6.997 23.24 -#> m1 132.282 439.43 -#> -#> Data: -#> time variable observed predicted residual err -#> 0 parent 99.46 99.67218 -2.122e-01 3.402 -#> 0 parent 102.04 99.67218 2.368e+00 3.402 -#> 1 parent 93.50 90.27153 3.228e+00 3.402 -#> 1 parent 92.50 90.27153 2.228e+00 3.402 -#> 3 parent 63.23 74.04648 -1.082e+01 3.402 -#> 3 parent 68.99 74.04648 -5.056e+00 3.402 -#> 7 parent 52.32 49.82092 2.499e+00 3.402 -#> 7 parent 55.13 49.82092 5.309e+00 3.402 -#> 14 parent 27.27 24.90288 2.367e+00 3.402 -#> 14 parent 26.64 24.90288 1.737e+00 3.402 -#> 21 parent 11.50 12.44765 -9.476e-01 3.402 -#> 21 parent 11.64 12.44765 -8.076e-01 3.402 -#> 35 parent 2.85 3.11002 -2.600e-01 3.402 -#> 35 parent 2.91 3.11002 -2.000e-01 3.402 -#> 50 parent 0.69 0.70374 -1.374e-02 3.402 -#> 50 parent 0.63 0.70374 -7.374e-02 3.402 -#> 75 parent 0.05 0.05913 -9.134e-03 3.402 -#> 75 parent 0.06 0.05913 8.662e-04 3.402 -#> 0 m1 0.00 0.00000 0.000e+00 2.722 -#> 0 m1 0.00 0.00000 0.000e+00 2.722 -#> 1 m1 4.84 4.81328 2.672e-02 2.722 -#> 1 m1 5.64 4.81328 8.267e-01 2.722 -#> 3 m1 12.91 13.04779 -1.378e-01 2.722 -#> 3 m1 12.96 13.04779 -8.779e-02 2.722 -#> 7 m1 22.97 25.07615 -2.106e+00 2.722 -#> 7 m1 24.47 25.07615 -6.062e-01 2.722 -#> 14 m1 41.69 36.70729 4.983e+00 2.722 -#> 14 m1 33.21 36.70729 -3.497e+00 2.722 -#> 21 m1 44.37 41.65050 2.720e+00 2.722 -#> 21 m1 46.44 41.65050 4.790e+00 2.722 -#> 35 m1 41.22 43.28866 -2.069e+00 2.722 -#> 35 m1 37.95 43.28866 -5.339e+00 2.722 -#> 50 m1 41.19 41.19339 -3.386e-03 2.722 -#> 50 m1 40.01 41.19339 -1.183e+00 2.722 -#> 75 m1 40.09 36.43820 3.652e+00 2.722 -#> 75 m1 33.85 36.43820 -2.588e+00 2.722 -#> 100 m1 31.04 31.98971 -9.497e-01 2.722 -#> 100 m1 33.13 31.98971 1.140e+00 2.722 -#> 120 m1 25.15 28.80898 -3.659e+00 2.722 -#> 120 m1 33.31 28.80898 4.501e+00 2.722</div><div class='input'><span class='no'>f.w.mean</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='no'>SFO_SFO.ff</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>weight</span> <span class='kw'>=</span> <span class='st'>"mean"</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) -<span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>f.w.mean</span>)</div><div class='output co'>#> mkin version used for fitting: 0.9.48.1 -#> R version used for fitting: 3.5.2 -#> Date of fit: Mon Mar 4 14:05:27 2019 -#> Date of summary: Mon Mar 4 14:05:27 2019 -#> -#> Equations: -#> d_parent/dt = - k_parent * parent -#> d_m1/dt = + f_parent_to_m1 * k_parent * parent - k_m1 * m1 -#> -#> Model predictions using solution type deSolve -#> -#> Fitted with method Port using 155 model solutions performed in 0.704 s -#> -#> Weighting: mean +#> Error model: +#> NULL #> #> Starting values for parameters to be optimised: #> value type @@ -889,6 +682,8 @@ #> k_parent 0.1000 deparm #> k_m1 0.1001 deparm #> f_parent_to_m1 0.5000 deparm +#> sigma_parent 3.0000 error +#> sigma_m1 3.0000 error #> #> Starting values for the transformed parameters actually optimised: #> value lower upper @@ -896,6 +691,8 @@ #> log_k_parent -2.302585 -Inf Inf #> log_k_m1 -2.301586 -Inf Inf #> f_parent_ilr_1 0.000000 -Inf Inf +#> sigma_parent 3.000000 0 Inf +#> sigma_m1 3.000000 0 Inf #> #> Fixed parameter values: #> value type @@ -903,331 +700,100 @@ #> #> Optimised, transformed parameters with symmetric confidence intervals: #> Estimate Std. Error Lower Upper -#> parent_0 99.7300 1.93200 95.81000 103.6000 -#> log_k_parent -2.3090 0.04837 -2.40700 -2.2110 -#> log_k_m1 -5.2550 0.12070 -5.49900 -5.0100 -#> f_parent_ilr_1 0.0354 0.06344 -0.09327 0.1641 +#> parent_0 99.65000 1.70200 96.19000 103.1000 +#> log_k_parent -2.31300 0.04376 -2.40200 -2.2240 +#> log_k_m1 -5.25000 0.12430 -5.50400 -4.9970 +#> f_parent_ilr_1 0.03861 0.06171 -0.08708 0.1643 +#> sigma_parent 3.40100 0.56820 2.24400 4.5590 +#> sigma_m1 2.85500 0.45240 1.93400 3.7770 #> #> Parameter correlation: -#> parent_0 log_k_parent log_k_m1 f_parent_ilr_1 -#> parent_0 1.0000 0.5004 -0.2143 -0.6514 -#> log_k_parent 0.5004 1.0000 -0.4282 -0.6383 -#> log_k_m1 -0.2143 -0.4282 1.0000 0.7390 -#> f_parent_ilr_1 -0.6514 -0.6383 0.7390 1.0000 -#> -#> Residual standard error: 0.09829 on 36 degrees of freedom -#> -#> Backtransformed parameters: -#> Confidence intervals for internally transformed parameters are asymmetric. -#> t-test (unrealistically) based on the assumption of normal distribution -#> for estimators of untransformed parameters. -#> Estimate t value Pr(>t) Lower Upper -#> parent_0 99.730000 51.630 1.166e-35 95.81000 1.036e+02 -#> k_parent 0.099360 20.670 7.304e-22 0.09007 1.096e-01 -#> k_m1 0.005224 8.287 3.649e-10 0.00409 6.672e-03 -#> f_parent_to_m1 0.512500 22.860 2.497e-23 0.46710 5.578e-01 -#> -#> Chi2 error levels in percent: -#> err.min n.optim df -#> All data 6.401 4 15 -#> parent 6.473 2 7 -#> m1 4.671 2 8 -#> -#> Resulting formation fractions: -#> ff -#> parent_m1 0.5125 -#> parent_sink 0.4875 -#> -#> Estimated disappearance times: -#> DT50 DT90 -#> parent 6.976 23.18 -#> m1 132.696 440.81 -#> -#> Data: -#> time variable observed predicted residual -#> 0 parent 99.46 99.73057 -0.270570 -#> 0 parent 102.04 99.73057 2.309430 -#> 1 parent 93.50 90.29805 3.201945 -#> 1 parent 92.50 90.29805 2.201945 -#> 3 parent 63.23 74.02503 -10.795028 -#> 3 parent 68.99 74.02503 -5.035028 -#> 7 parent 52.32 49.74838 2.571618 -#> 7 parent 55.13 49.74838 5.381618 -#> 14 parent 27.27 24.81588 2.454124 -#> 14 parent 26.64 24.81588 1.824124 -#> 21 parent 11.50 12.37885 -0.878849 -#> 21 parent 11.64 12.37885 -0.738849 -#> 35 parent 2.85 3.08022 -0.230219 -#> 35 parent 2.91 3.08022 -0.170219 -#> 50 parent 0.69 0.69396 -0.003958 -#> 50 parent 0.63 0.69396 -0.063958 -#> 75 parent 0.05 0.05789 -0.007888 -#> 75 parent 0.06 0.05789 0.002112 -#> 0 m1 0.00 0.00000 0.000000 -#> 0 m1 0.00 0.00000 0.000000 -#> 1 m1 4.84 4.82149 0.018512 -#> 1 m1 5.64 4.82149 0.818512 -#> 3 m1 12.91 13.06669 -0.156692 -#> 3 m1 12.96 13.06669 -0.106692 -#> 7 m1 22.97 25.10106 -2.131058 -#> 7 m1 24.47 25.10106 -0.631058 -#> 14 m1 41.69 36.72092 4.969077 -#> 14 m1 33.21 36.72092 -3.510923 -#> 21 m1 44.37 41.64835 2.721647 -#> 21 m1 46.44 41.64835 4.791647 -#> 35 m1 41.22 43.26923 -2.049225 -#> 35 m1 37.95 43.26923 -5.319225 -#> 50 m1 41.19 41.17364 0.016361 -#> 50 m1 40.01 41.17364 -1.163639 -#> 75 m1 40.09 36.43122 3.658776 -#> 75 m1 33.85 36.43122 -2.581224 -#> 100 m1 31.04 31.99612 -0.956124 -#> 100 m1 33.13 31.99612 1.133876 -#> 120 m1 25.15 28.82413 -3.674128 -#> 120 m1 33.31 28.82413 4.485872</div><div class='input'><span class='no'>f.w.value</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='no'>SFO_SFO.ff</span>, <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/subset'>subset</a></span>(<span class='no'>FOCUS_2006_D</span>, <span class='no'>value</span> <span class='kw'>!=</span> <span class='fl'>0</span>), <span class='kw'>err</span> <span class='kw'>=</span> <span class='st'>"value"</span>, - <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) -<span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>f.w.value</span>)</div><div class='output co'>#> mkin version used for fitting: 0.9.48.1 -#> R version used for fitting: 3.5.2 -#> Date of fit: Mon Mar 4 14:05:28 2019 -#> Date of summary: Mon Mar 4 14:05:28 2019 -#> -#> Equations: -#> d_parent/dt = - k_parent * parent -#> d_m1/dt = + f_parent_to_m1 * k_parent * parent - k_m1 * m1 -#> -#> Model predictions using solution type deSolve -#> -#> Fitted with method Port using 174 model solutions performed in 0.866 s -#> -#> Weighting: manual -#> -#> Starting values for parameters to be optimised: -#> value type -#> parent_0 100.7500 state -#> k_parent 0.1000 deparm -#> k_m1 0.1001 deparm -#> f_parent_to_m1 0.5000 deparm -#> -#> Starting values for the transformed parameters actually optimised: -#> value lower upper -#> parent_0 100.750000 -Inf Inf -#> log_k_parent -2.302585 -Inf Inf -#> log_k_m1 -2.301586 -Inf Inf -#> f_parent_ilr_1 0.000000 -Inf Inf -#> -#> Fixed parameter values: -#> value type -#> m1_0 0 state -#> -#> Optimised, transformed parameters with symmetric confidence intervals: -#> Estimate Std. Error Lower Upper -#> parent_0 99.6600 2.712000 94.14000 105.2000 -#> log_k_parent -2.2980 0.008118 -2.31500 -2.2820 -#> log_k_m1 -5.2410 0.096690 -5.43800 -5.0450 -#> f_parent_ilr_1 0.0231 0.057990 -0.09474 0.1409 -#> -#> Parameter correlation: -#> parent_0 log_k_parent log_k_m1 f_parent_ilr_1 -#> parent_0 1.00000 0.6843 -0.08687 -0.7564 -#> log_k_parent 0.68435 1.0000 -0.12695 -0.5812 -#> log_k_m1 -0.08687 -0.1269 1.00000 0.5195 -#> f_parent_ilr_1 -0.75644 -0.5812 0.51952 1.0000 -#> -#> Residual standard error: 0.08396 on 34 degrees of freedom -#> -#> Backtransformed parameters: -#> Confidence intervals for internally transformed parameters are asymmetric. -#> t-test (unrealistically) based on the assumption of normal distribution -#> for estimators of untransformed parameters. -#> Estimate t value Pr(>t) Lower Upper -#> parent_0 99.660000 36.75 2.957e-29 94.14000 1.052e+02 -#> k_parent 0.100400 123.20 5.927e-47 0.09878 1.021e-01 -#> k_m1 0.005295 10.34 2.447e-12 0.00435 6.444e-03 -#> f_parent_to_m1 0.508200 24.79 1.184e-23 0.46660 5.497e-01 -#> -#> Chi2 error levels in percent: -#> err.min n.optim df -#> All data 6.461 4 15 -#> parent 6.520 2 7 -#> m1 4.744 2 8 -#> -#> Resulting formation fractions: -#> ff -#> parent_m1 0.5082 -#> parent_sink 0.4918 -#> -#> Estimated disappearance times: -#> DT50 DT90 -#> parent 6.902 22.93 -#> m1 130.916 434.89 -#> -#> Data: -#> time variable observed predicted residual err -#> 0 parent 99.46 99.65571 -0.195715 99.46 -#> 0 parent 102.04 99.65571 2.384285 102.04 -#> 1 parent 93.50 90.13383 3.366170 93.50 -#> 1 parent 92.50 90.13383 2.366170 92.50 -#> 3 parent 63.23 73.73252 -10.502518 63.23 -#> 3 parent 68.99 73.73252 -4.742518 68.99 -#> 7 parent 52.32 49.34027 2.979728 52.32 -#> 7 parent 55.13 49.34027 5.789728 55.13 -#> 14 parent 27.27 24.42873 2.841271 27.27 -#> 14 parent 26.64 24.42873 2.211271 26.64 -#> 21 parent 11.50 12.09484 -0.594842 11.50 -#> 21 parent 11.64 12.09484 -0.454842 11.64 -#> 35 parent 2.85 2.96482 -0.114824 2.85 -#> 35 parent 2.91 2.96482 -0.054824 2.91 -#> 50 parent 0.69 0.65733 0.032670 0.69 -#> 50 parent 0.63 0.65733 -0.027330 0.63 -#> 75 parent 0.05 0.05339 -0.003386 0.05 -#> 75 parent 0.06 0.05339 0.006614 0.06 -#> 1 m1 4.84 4.82570 0.014301 4.84 -#> 1 m1 5.64 4.82570 0.814301 5.64 -#> 3 m1 12.91 13.06402 -0.154020 12.91 -#> 3 m1 12.96 13.06402 -0.104020 12.96 -#> 7 m1 22.97 25.04656 -2.076564 22.97 -#> 7 m1 24.47 25.04656 -0.576564 24.47 -#> 14 m1 41.69 36.53601 5.153988 41.69 -#> 14 m1 33.21 36.53601 -3.326012 33.21 -#> 21 m1 44.37 41.34639 3.023609 44.37 -#> 21 m1 46.44 41.34639 5.093609 46.44 -#> 35 m1 41.22 42.82669 -1.606690 41.22 -#> 35 m1 37.95 42.82669 -4.876690 37.95 -#> 50 m1 41.19 40.67342 0.516578 41.19 -#> 50 m1 40.01 40.67342 -0.663422 40.01 -#> 75 m1 40.09 35.91105 4.178947 40.09 -#> 75 m1 33.85 35.91105 -2.061053 33.85 -#> 100 m1 31.04 31.48161 -0.441612 31.04 -#> 100 m1 33.13 31.48161 1.648388 33.13 -#> 120 m1 25.15 28.32018 -3.170181 25.15 -#> 120 m1 33.31 28.32018 4.989819 33.31</div><div class='input'> -</div><div class='input'><span class='co'># Manual weighting</span> -<span class='no'>dw</span> <span class='kw'><-</span> <span class='no'>FOCUS_2006_D</span> -<span class='no'>errors</span> <span class='kw'><-</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='kw'>parent</span> <span class='kw'>=</span> <span class='fl'>2</span>, <span class='kw'>m1</span> <span class='kw'>=</span> <span class='fl'>1</span>) -<span class='no'>dw</span>$<span class='no'>err.man</span> <span class='kw'><-</span> <span class='no'>errors</span>[<span class='no'>FOCUS_2006_D</span>$<span class='no'>name</span>] -<span class='no'>f.w.man</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='no'>SFO_SFO.ff</span>, <span class='no'>dw</span>, <span class='kw'>err</span> <span class='kw'>=</span> <span class='st'>"err.man"</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) -<span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>f.w.man</span>)</div><div class='output co'>#> mkin version used for fitting: 0.9.48.1 -#> R version used for fitting: 3.5.2 -#> Date of fit: Mon Mar 4 14:05:30 2019 -#> Date of summary: Mon Mar 4 14:05:30 2019 -#> -#> Equations: -#> d_parent/dt = - k_parent * parent -#> d_m1/dt = + f_parent_to_m1 * k_parent * parent - k_m1 * m1 -#> -#> Model predictions using solution type deSolve -#> -#> Fitted with method Port using 270 model solutions performed in 1.23 s -#> -#> Weighting: manual -#> -#> Starting values for parameters to be optimised: -#> value type -#> parent_0 100.7500 state -#> k_parent 0.1000 deparm -#> k_m1 0.1001 deparm -#> f_parent_to_m1 0.5000 deparm -#> -#> Starting values for the transformed parameters actually optimised: -#> value lower upper -#> parent_0 100.750000 -Inf Inf -#> log_k_parent -2.302585 -Inf Inf -#> log_k_m1 -2.301586 -Inf Inf -#> f_parent_ilr_1 0.000000 -Inf Inf -#> -#> Fixed parameter values: -#> value type -#> m1_0 0 state -#> -#> Optimised, transformed parameters with symmetric confidence intervals: -#> Estimate Std. Error Lower Upper -#> parent_0 99.49000 1.33200 96.7800 102.2000 -#> log_k_parent -2.32100 0.03550 -2.3930 -2.2490 -#> log_k_m1 -5.24100 0.21280 -5.6730 -4.8100 -#> f_parent_ilr_1 0.04571 0.08966 -0.1361 0.2275 -#> -#> Parameter correlation: -#> parent_0 log_k_parent log_k_m1 f_parent_ilr_1 -#> parent_0 1.00000 0.5312 -0.09456 -0.3351 -#> log_k_parent 0.53123 1.0000 -0.17800 -0.3360 -#> log_k_m1 -0.09456 -0.1780 1.00000 0.7616 -#> f_parent_ilr_1 -0.33514 -0.3360 0.76156 1.0000 -#> -#> Residual standard error: 2.628 on 36 degrees of freedom +#> parent_0 log_k_parent log_k_m1 f_parent_ilr_1 sigma_parent +#> parent_0 1.00000 0.51078 -0.19133 -0.59997 0.035671 +#> log_k_parent 0.51078 1.00000 -0.37458 -0.59239 0.069834 +#> log_k_m1 -0.19133 -0.37458 1.00000 0.74398 -0.026158 +#> f_parent_ilr_1 -0.59997 -0.59239 0.74398 1.00000 -0.041369 +#> sigma_parent 0.03567 0.06983 -0.02616 -0.04137 1.000000 +#> sigma_m1 -0.03385 -0.06627 0.02482 0.03926 -0.004628 +#> sigma_m1 +#> parent_0 -0.033847 +#> log_k_parent -0.066265 +#> log_k_m1 0.024822 +#> f_parent_ilr_1 0.039256 +#> sigma_parent -0.004628 +#> sigma_m1 1.000000 #> #> Backtransformed parameters: #> Confidence intervals for internally transformed parameters are asymmetric. #> t-test (unrealistically) based on the assumption of normal distribution #> for estimators of untransformed parameters. #> Estimate t value Pr(>t) Lower Upper -#> parent_0 99.490000 74.69 2.221e-41 96.780000 1.022e+02 -#> k_parent 0.098140 28.17 2.012e-26 0.091320 1.055e-01 -#> k_m1 0.005292 4.70 1.873e-05 0.003437 8.148e-03 -#> f_parent_to_m1 0.516200 16.30 1.686e-18 0.452000 5.798e-01 +#> parent_0 99.650000 58.560 2.004e-34 96.190000 1.031e+02 +#> k_parent 0.098970 22.850 1.099e-21 0.090530 1.082e-01 +#> k_m1 0.005245 8.046 1.732e-09 0.004072 6.756e-03 +#> f_parent_to_m1 0.513600 23.560 4.352e-22 0.469300 5.578e-01 +#> sigma_parent 3.401000 5.985 5.662e-07 2.244000 4.559e+00 +#> sigma_m1 2.855000 6.311 2.215e-07 1.934000 3.777e+00 #> #> Chi2 error levels in percent: #> err.min n.optim df -#> All data 6.400 4 15 -#> parent 6.454 2 7 -#> m1 4.708 2 8 +#> All data 6.398 4 15 +#> parent 6.464 2 7 +#> m1 4.682 2 8 #> #> Resulting formation fractions: #> ff -#> parent_m1 0.5162 -#> parent_sink 0.4838 +#> parent_m1 0.5136 +#> parent_sink 0.4864 #> #> Estimated disappearance times: #> DT50 DT90 -#> parent 7.063 23.46 -#> m1 130.971 435.08 +#> parent 7.003 23.26 +#> m1 132.154 439.01 #> #> Data: -#> time variable observed predicted residual err -#> 0 parent 99.46 99.48598 -0.025979 1 -#> 0 parent 102.04 99.48598 2.554021 1 -#> 1 parent 93.50 90.18612 3.313880 1 -#> 1 parent 92.50 90.18612 2.313880 1 -#> 3 parent 63.23 74.11316 -10.883163 1 -#> 3 parent 68.99 74.11316 -5.123163 1 -#> 7 parent 52.32 50.05030 2.269705 1 -#> 7 parent 55.13 50.05030 5.079705 1 -#> 14 parent 27.27 25.17975 2.090250 1 -#> 14 parent 26.64 25.17975 1.460250 1 -#> 21 parent 11.50 12.66765 -1.167654 1 -#> 21 parent 11.64 12.66765 -1.027654 1 -#> 35 parent 2.85 3.20616 -0.356164 1 -#> 35 parent 2.91 3.20616 -0.296164 1 -#> 50 parent 0.69 0.73562 -0.045619 1 -#> 50 parent 0.63 0.73562 -0.105619 1 -#> 75 parent 0.05 0.06326 -0.013256 1 -#> 75 parent 0.06 0.06326 -0.003256 1 -#> 0 m1 0.00 0.00000 0.000000 2 -#> 0 m1 0.00 0.00000 0.000000 2 -#> 1 m1 4.84 4.78729 0.052713 2 -#> 1 m1 5.64 4.78729 0.852713 2 -#> 3 m1 12.91 12.98785 -0.077848 2 -#> 3 m1 12.96 12.98785 -0.027848 2 -#> 7 m1 22.97 24.99695 -2.026946 2 -#> 7 m1 24.47 24.99695 -0.526946 2 -#> 14 m1 41.69 36.66353 5.026472 2 -#> 14 m1 33.21 36.66353 -3.453528 2 -#> 21 m1 44.37 41.65681 2.713186 2 -#> 21 m1 46.44 41.65681 4.783186 2 -#> 35 m1 41.22 43.35031 -2.130314 2 -#> 35 m1 37.95 43.35031 -5.400314 2 -#> 50 m1 41.19 41.25637 -0.066368 2 -#> 50 m1 40.01 41.25637 -1.246368 2 -#> 75 m1 40.09 36.46057 3.629429 2 -#> 75 m1 33.85 36.46057 -2.610571 2 -#> 100 m1 31.04 31.96929 -0.929293 2 -#> 100 m1 33.13 31.96929 1.160707 2 -#> 120 m1 25.15 28.76062 -3.610621 2 -#> 120 m1 33.31 28.76062 4.549379 2</div><div class='input'><span class='no'>f.w.man.irls</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='no'>SFO_SFO.ff</span>, <span class='no'>dw</span>, <span class='kw'>err</span> <span class='kw'>=</span> <span class='st'>"err.man"</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, - <span class='kw'>reweight.method</span> <span class='kw'>=</span> <span class='st'>"obs"</span>) -<span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>f.w.man.irls</span>)</div><div class='output co'>#> mkin version used for fitting: 0.9.48.1 -#> R version used for fitting: 3.5.2 -#> Date of fit: Mon Mar 4 14:05:33 2019 -#> Date of summary: Mon Mar 4 14:05:33 2019 +#> time variable observed predicted residual +#> 0 parent 99.46 99.65417 -1.942e-01 +#> 0 parent 102.04 99.65417 2.386e+00 +#> 1 parent 93.50 90.26333 3.237e+00 +#> 1 parent 92.50 90.26333 2.237e+00 +#> 3 parent 63.23 74.05306 -1.082e+01 +#> 3 parent 68.99 74.05306 -5.063e+00 +#> 7 parent 52.32 49.84325 2.477e+00 +#> 7 parent 55.13 49.84325 5.287e+00 +#> 14 parent 27.27 24.92971 2.340e+00 +#> 14 parent 26.64 24.92971 1.710e+00 +#> 21 parent 11.50 12.46890 -9.689e-01 +#> 21 parent 11.64 12.46890 -8.289e-01 +#> 35 parent 2.85 3.11925 -2.692e-01 +#> 35 parent 2.91 3.11925 -2.092e-01 +#> 50 parent 0.69 0.70679 -1.679e-02 +#> 50 parent 0.63 0.70679 -7.679e-02 +#> 75 parent 0.05 0.05952 -9.523e-03 +#> 75 parent 0.06 0.05952 4.772e-04 +#> 1 m1 4.84 4.81075 2.925e-02 +#> 1 m1 5.64 4.81075 8.292e-01 +#> 3 m1 12.91 13.04197 -1.320e-01 +#> 3 m1 12.96 13.04197 -8.197e-02 +#> 7 m1 22.97 25.06847 -2.098e+00 +#> 7 m1 24.47 25.06847 -5.985e-01 +#> 14 m1 41.69 36.70308 4.987e+00 +#> 14 m1 33.21 36.70308 -3.493e+00 +#> 21 m1 44.37 41.65115 2.719e+00 +#> 21 m1 46.44 41.65115 4.789e+00 +#> 35 m1 41.22 43.29465 -2.075e+00 +#> 35 m1 37.95 43.29465 -5.345e+00 +#> 50 m1 41.19 41.19948 -9.482e-03 +#> 50 m1 40.01 41.19948 -1.189e+00 +#> 75 m1 40.09 36.44036 3.650e+00 +#> 75 m1 33.85 36.44036 -2.590e+00 +#> 100 m1 31.04 31.98774 -9.477e-01 +#> 100 m1 33.13 31.98774 1.142e+00 +#> 120 m1 25.15 28.80430 -3.654e+00 +#> 120 m1 33.31 28.80430 4.506e+00</div><div class='input'><span class='no'>f.tc</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='no'>SFO_SFO.ff</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>error_model</span> <span class='kw'>=</span> <span class='st'>"tc"</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>f.tc</span>)</div><div class='output co'>#> mkin version used for fitting: 0.9.49.4 +#> R version used for fitting: 3.5.3 +#> Date of fit: Wed Apr 10 10:10:22 2019 +#> Date of summary: Wed Apr 10 10:10:22 2019 #> #> Equations: #> d_parent/dt = - k_parent * parent @@ -1235,14 +801,10 @@ #> #> Model predictions using solution type deSolve #> -#> Fitted with method Port using 692 model solutions performed in 3.197 s -#> -#> Weighting: manual +#> Fitted with method using 756 model solutions performed in 3.222 s #> -#> Iterative reweighting with method obs -#> Final mean squared residuals of observed variables: -#> parent m1 -#> 11.573406 7.407846 +#> Error model: +#> NULL #> #> Starting values for parameters to be optimised: #> value type @@ -1250,6 +812,8 @@ #> k_parent 0.1000 deparm #> k_m1 0.1001 deparm #> f_parent_to_m1 0.5000 deparm +#> sigma_low 0.5000 error +#> rsd_high 0.0700 error #> #> Starting values for the transformed parameters actually optimised: #> value lower upper @@ -1257,95 +821,100 @@ #> log_k_parent -2.302585 -Inf Inf #> log_k_m1 -2.301586 -Inf Inf #> f_parent_ilr_1 0.000000 -Inf Inf +#> sigma_low 0.500000 0 Inf +#> rsd_high 0.070000 0 Inf #> #> Fixed parameter values: #> value type #> m1_0 0 state #> #> Optimised, transformed parameters with symmetric confidence intervals: -#> Estimate Std. Error Lower Upper -#> parent_0 99.67000 1.79200 96.04000 103.300 -#> log_k_parent -2.31200 0.04560 -2.40400 -2.220 -#> log_k_m1 -5.25100 0.12510 -5.50500 -4.998 -#> f_parent_ilr_1 0.03785 0.06318 -0.09027 0.166 +#> Estimate Std. Error Lower Upper +#> parent_0 100.70000 2.621000 95.400000 106.10000 +#> log_k_parent -2.29700 0.008862 -2.315000 -2.27900 +#> log_k_m1 -5.26600 0.091310 -5.452000 -5.08000 +#> f_parent_ilr_1 0.02374 0.055300 -0.088900 0.13640 +#> sigma_low 0.00305 0.004829 -0.006786 0.01289 +#> rsd_high 0.07928 0.009418 0.060100 0.09847 #> #> Parameter correlation: -#> parent_0 log_k_parent log_k_m1 f_parent_ilr_1 -#> parent_0 1.0000 0.5083 -0.1979 -0.6148 -#> log_k_parent 0.5083 1.0000 -0.3894 -0.6062 -#> log_k_m1 -0.1979 -0.3894 1.0000 0.7417 -#> f_parent_ilr_1 -0.6148 -0.6062 0.7417 1.0000 -#> -#> Residual standard error: 1.054 on 36 degrees of freedom +#> parent_0 log_k_parent log_k_m1 f_parent_ilr_1 sigma_low rsd_high +#> parent_0 1.00000 0.67644 -0.10215 -0.76822 0.14294 -0.08783 +#> log_k_parent 0.67644 1.00000 -0.15102 -0.59491 0.34611 -0.08125 +#> log_k_m1 -0.10215 -0.15102 1.00000 0.51808 -0.05236 0.01240 +#> f_parent_ilr_1 -0.76822 -0.59491 0.51808 1.00000 -0.13900 0.03248 +#> sigma_low 0.14294 0.34611 -0.05236 -0.13900 1.00000 -0.16546 +#> rsd_high -0.08783 -0.08125 0.01240 0.03248 -0.16546 1.00000 #> #> Backtransformed parameters: #> Confidence intervals for internally transformed parameters are asymmetric. #> t-test (unrealistically) based on the assumption of normal distribution #> for estimators of untransformed parameters. -#> Estimate t value Pr(>t) Lower Upper -#> parent_0 99.67000 55.630 8.185e-37 96.040000 1.033e+02 -#> k_parent 0.09906 21.930 1.016e-22 0.090310 1.087e-01 -#> k_m1 0.00524 7.996 8.486e-10 0.004066 6.753e-03 -#> f_parent_to_m1 0.51340 23.000 2.039e-23 0.468100 5.584e-01 +#> Estimate t value Pr(>t) Lower Upper +#> parent_0 1.007e+02 38.4300 1.180e-28 95.400000 1.061e+02 +#> k_parent 1.006e-01 112.8000 1.718e-43 0.098760 1.024e-01 +#> k_m1 5.167e-03 10.9500 1.171e-12 0.004290 6.223e-03 +#> f_parent_to_m1 5.084e-01 26.0100 2.146e-23 0.468600 5.481e-01 +#> sigma_low 3.050e-03 0.6314 2.661e-01 -0.006786 1.289e-02 +#> rsd_high 7.928e-02 8.4170 6.418e-10 0.060100 9.847e-02 #> #> Chi2 error levels in percent: #> err.min n.optim df -#> All data 6.399 4 15 -#> parent 6.466 2 7 -#> m1 4.679 2 8 +#> All data 6.475 4 15 +#> parent 6.573 2 7 +#> m1 4.671 2 8 #> #> Resulting formation fractions: #> ff -#> parent_m1 0.5134 -#> parent_sink 0.4866 +#> parent_m1 0.5084 +#> parent_sink 0.4916 #> #> Estimated disappearance times: -#> DT50 DT90 -#> parent 6.997 23.24 -#> m1 132.282 439.43 +#> DT50 DT90 +#> parent 6.893 22.9 +#> m1 134.156 445.7 #> #> Data: -#> time variable observed predicted residual err.ini err -#> 0 parent 99.46 99.67217 -2.122e-01 1 3.402 -#> 0 parent 102.04 99.67217 2.368e+00 1 3.402 -#> 1 parent 93.50 90.27152 3.228e+00 1 3.402 -#> 1 parent 92.50 90.27152 2.228e+00 1 3.402 -#> 3 parent 63.23 74.04648 -1.082e+01 1 3.402 -#> 3 parent 68.99 74.04648 -5.056e+00 1 3.402 -#> 7 parent 52.32 49.82092 2.499e+00 1 3.402 -#> 7 parent 55.13 49.82092 5.309e+00 1 3.402 -#> 14 parent 27.27 24.90288 2.367e+00 1 3.402 -#> 14 parent 26.64 24.90288 1.737e+00 1 3.402 -#> 21 parent 11.50 12.44765 -9.477e-01 1 3.402 -#> 21 parent 11.64 12.44765 -8.077e-01 1 3.402 -#> 35 parent 2.85 3.11002 -2.600e-01 1 3.402 -#> 35 parent 2.91 3.11002 -2.000e-01 1 3.402 -#> 50 parent 0.69 0.70375 -1.375e-02 1 3.402 -#> 50 parent 0.63 0.70375 -7.375e-02 1 3.402 -#> 75 parent 0.05 0.05913 -9.134e-03 1 3.402 -#> 75 parent 0.06 0.05913 8.661e-04 1 3.402 -#> 0 m1 0.00 0.00000 0.000e+00 2 2.722 -#> 0 m1 0.00 0.00000 0.000e+00 2 2.722 -#> 1 m1 4.84 4.81328 2.672e-02 2 2.722 -#> 1 m1 5.64 4.81328 8.267e-01 2 2.722 -#> 3 m1 12.91 13.04779 -1.378e-01 2 2.722 -#> 3 m1 12.96 13.04779 -8.779e-02 2 2.722 -#> 7 m1 22.97 25.07615 -2.106e+00 2 2.722 -#> 7 m1 24.47 25.07615 -6.062e-01 2 2.722 -#> 14 m1 41.69 36.70729 4.983e+00 2 2.722 -#> 14 m1 33.21 36.70729 -3.497e+00 2 2.722 -#> 21 m1 44.37 41.65050 2.719e+00 2 2.722 -#> 21 m1 46.44 41.65050 4.789e+00 2 2.722 -#> 35 m1 41.22 43.28866 -2.069e+00 2 2.722 -#> 35 m1 37.95 43.28866 -5.339e+00 2 2.722 -#> 50 m1 41.19 41.19339 -3.387e-03 2 2.722 -#> 50 m1 40.01 41.19339 -1.183e+00 2 2.722 -#> 75 m1 40.09 36.43820 3.652e+00 2 2.722 -#> 75 m1 33.85 36.43820 -2.588e+00 2 2.722 -#> 100 m1 31.04 31.98971 -9.497e-01 2 2.722 -#> 100 m1 33.13 31.98971 1.140e+00 2 2.722 -#> 120 m1 25.15 28.80897 -3.659e+00 2 2.722 -#> 120 m1 33.31 28.80897 4.501e+00 2 2.722</div></pre> +#> time variable observed predicted residual +#> 0 parent 99.46 100.73434 -1.274340 +#> 0 parent 102.04 100.73434 1.305660 +#> 1 parent 93.50 91.09751 2.402486 +#> 1 parent 92.50 91.09751 1.402486 +#> 3 parent 63.23 74.50141 -11.271410 +#> 3 parent 68.99 74.50141 -5.511410 +#> 7 parent 52.32 49.82880 2.491200 +#> 7 parent 55.13 49.82880 5.301200 +#> 14 parent 27.27 24.64809 2.621908 +#> 14 parent 26.64 24.64809 1.991908 +#> 21 parent 11.50 12.19232 -0.692316 +#> 21 parent 11.64 12.19232 -0.552316 +#> 35 parent 2.85 2.98327 -0.133266 +#> 35 parent 2.91 2.98327 -0.073266 +#> 50 parent 0.69 0.66013 0.029874 +#> 50 parent 0.63 0.66013 -0.030126 +#> 75 parent 0.05 0.05344 -0.003438 +#> 75 parent 0.06 0.05344 0.006562 +#> 1 m1 4.84 4.88645 -0.046451 +#> 1 m1 5.64 4.88645 0.753549 +#> 3 m1 12.91 13.22867 -0.318669 +#> 3 m1 12.96 13.22867 -0.268669 +#> 7 m1 22.97 25.36417 -2.394167 +#> 7 m1 24.47 25.36417 -0.894167 +#> 14 m1 41.69 37.00974 4.680262 +#> 14 m1 33.21 37.00974 -3.799738 +#> 21 m1 44.37 41.90133 2.468668 +#> 21 m1 46.44 41.90133 4.538668 +#> 35 m1 41.22 43.45691 -2.236914 +#> 35 m1 37.95 43.45691 -5.506914 +#> 50 m1 41.19 41.34199 -0.151986 +#> 50 m1 40.01 41.34199 -1.331986 +#> 75 m1 40.09 36.61470 3.475295 +#> 75 m1 33.85 36.61470 -2.764705 +#> 100 m1 31.04 32.20082 -1.160823 +#> 100 m1 33.13 32.20082 0.929177 +#> 120 m1 25.15 29.04130 -3.891303 +#> 120 m1 33.31 29.04130 4.268697</div><div class='input'> +</div></pre> </div> <div class="col-md-3 hidden-xs hidden-sm" id="sidebar"> <h2>Contents</h2> @@ -1358,8 +927,6 @@ <li><a href="#note">Note</a></li> - <li><a href="#note">Note</a></li> - <li><a href="#source">Source</a></li> <li><a href="#examples">Examples</a></li> diff --git a/docs/reference/mkinmod.html b/docs/reference/mkinmod.html index 37f95690..b100f251 100644 --- a/docs/reference/mkinmod.html +++ b/docs/reference/mkinmod.html @@ -68,7 +68,7 @@ For the definition of model types and their parameters, the equations given </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -234,7 +234,7 @@ For the definition of model types and their parameters, the equations given <span class='no'>SFO_SFO</span> <span class='kw'><-</span> <span class='fu'>mkinmod</span>( <span class='kw'>parent</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>, <span class='st'>"m1"</span>), <span class='kw'>m1</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>), <span class='kw'>verbose</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='output co'>#> Compilation argument: -#> /usr/lib/R/bin/R CMD SHLIB filef43390002d2.c 2> filef43390002d2.c.err.txt +#> /usr/lib/R/bin/R CMD SHLIB file27ad440ff595.c 2> file27ad440ff595.c.err.txt #> Program source: #> 1: #include <R.h> #> 2: diff --git a/docs/reference/mkinparplot-1.png b/docs/reference/mkinparplot-1.png Binary files differindex ba7212c5..82b9c212 100644 --- a/docs/reference/mkinparplot-1.png +++ b/docs/reference/mkinparplot-1.png diff --git a/docs/reference/mkinparplot.html b/docs/reference/mkinparplot.html index e819befe..c90acf4a 100644 --- a/docs/reference/mkinparplot.html +++ b/docs/reference/mkinparplot.html @@ -64,7 +64,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -154,8 +154,8 @@ <pre class="examples"><div class='input'><span class='no'>model</span> <span class='kw'><-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span>( <span class='kw'>T245</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>, <span class='kw'>to</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='st'>"phenol"</span>), <span class='kw'>sink</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>), <span class='kw'>phenol</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>, <span class='kw'>to</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='st'>"anisole"</span>)), - <span class='kw'>anisole</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>), <span class='kw'>use_of_ff</span> <span class='kw'>=</span> <span class='st'>"max"</span>)</div><div class='output co'>#> <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'><span class='no'>fit</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>model</span>, <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/subset'>subset</a></span>(<span class='no'>mccall81_245T</span>, <span class='no'>soil</span> <span class='kw'>==</span> <span class='st'>"Commerce"</span>), <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) -<span class='fu'>mkinparplot</span>(<span class='no'>fit</span>)</div><div class='img'><img src='mkinparplot-1.png' alt='' width='700' height='433' /></div></pre> + <span class='kw'>anisole</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>), <span class='kw'>use_of_ff</span> <span class='kw'>=</span> <span class='st'>"max"</span>)</div><div class='output co'>#> <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'><span class='no'>fit</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>model</span>, <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/subset'>subset</a></span>(<span class='no'>mccall81_245T</span>, <span class='no'>soil</span> <span class='kw'>==</span> <span class='st'>"Commerce"</span>), <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='output co'>#> <span class='warning'>Warning: Optimisation did not converge:</span> +#> <span class='warning'>false convergence (8)</span></div><div class='input'><span class='fu'>mkinparplot</span>(<span class='no'>fit</span>)</div><div class='img'><img src='mkinparplot-1.png' alt='' width='700' height='433' /></div></pre> </div> <div class="col-md-3 hidden-xs hidden-sm" id="sidebar"> <h2>Contents</h2> diff --git a/docs/reference/mkinplot.html b/docs/reference/mkinplot.html index 573e8e7c..0c8ee269 100644 --- a/docs/reference/mkinplot.html +++ b/docs/reference/mkinplot.html @@ -63,7 +63,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> diff --git a/docs/reference/mkinpredict.html b/docs/reference/mkinpredict.html index fb4afa9a..56c1ed27 100644 --- a/docs/reference/mkinpredict.html +++ b/docs/reference/mkinpredict.html @@ -65,7 +65,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -333,50 +333,48 @@ <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='kw'>parent</span> <span class='kw'>=</span> <span class='fl'>100</span>, <span class='kw'>m1</span> <span class='kw'>=</span> <span class='fl'>0</span>), <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/seq'>seq</a></span>(<span class='fl'>0</span>, <span class='fl'>20</span>, <span class='kw'>by</span> <span class='kw'>=</span> <span class='fl'>0.1</span>), <span class='kw'>solution_type</span> <span class='kw'>=</span> <span class='st'>"deSolve"</span>)[<span class='fl'>201</span>,]))</div><div class='output co'>#> time parent m1 #> 201 20 4.978707 27.46227</div><div class='output co'>#> User System verstrichen -#> 0.002 0.000 0.002 </div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/system.time'>system.time</a></span>( +#> 0.002 0.000 0.001 </div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/system.time'>system.time</a></span>( <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/print'>print</a></span>(<span class='fu'>mkinpredict</span>(<span class='no'>SFO_SFO</span>, <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='kw'>k_parent_m1</span> <span class='kw'>=</span> <span class='fl'>0.05</span>, <span class='kw'>k_parent_sink</span> <span class='kw'>=</span> <span class='fl'>0.1</span>, <span class='kw'>k_m1_sink</span> <span class='kw'>=</span> <span class='fl'>0.01</span>), <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='kw'>parent</span> <span class='kw'>=</span> <span class='fl'>100</span>, <span class='kw'>m1</span> <span class='kw'>=</span> <span class='fl'>0</span>), <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/seq'>seq</a></span>(<span class='fl'>0</span>, <span class='fl'>20</span>, <span class='kw'>by</span> <span class='kw'>=</span> <span class='fl'>0.1</span>), <span class='kw'>solution_type</span> <span class='kw'>=</span> <span class='st'>"deSolve"</span>, <span class='kw'>use_compiled</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)[<span class='fl'>201</span>,]))</div><div class='output co'>#> time parent m1 #> 201 20 4.978707 27.46227</div><div class='output co'>#> User System verstrichen -#> 0.039 0.000 0.039 </div><div class='input'> +#> 0.04 0.00 0.04 </div><div class='input'> </div><div class='input'> <span class='co'># Predict from a fitted model</span> - <span class='no'>f</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>SFO_SFO</span>, <span class='no'>FOCUS_2006_C</span>)</div><div class='output co'>#> Model cost at call 1 : 552.5739 -#> Model cost at call 3 : 552.5739 -#> Model cost at call 4 : 552.5739 -#> Model cost at call 6 : 279.9345 -#> Model cost at call 7 : 279.9344 -#> Model cost at call 8 : 279.9294 -#> Model cost at call 9 : 279.9294 -#> Model cost at call 12 : 200.3629 -#> Model cost at call 13 : 200.3629 -#> Model cost at call 18 : 197.9039 -#> Model cost at call 23 : 197.9039 -#> Model cost at call 25 : 196.6754 -#> Model cost at call 27 : 196.6754 -#> Model cost at call 32 : 196.5742 -#> Model cost at call 33 : 196.5742 -#> Model cost at call 34 : 196.5742 -#> Model cost at call 38 : 196.5361 -#> Model cost at call 40 : 196.5361 -#> Model cost at call 44 : 196.5336 -#> Model cost at call 45 : 196.5336 -#> Model cost at call 50 : 196.5334 -#> Model cost at call 51 : 196.5334 -#> Model cost at call 52 : 196.5334 -#> Model cost at call 56 : 196.5334 -#> Model cost at call 58 : 196.5334 -#> Model cost at call 59 : 196.5334 -#> Model cost at call 65 : 196.5334 -#> Model cost at call 73 : 196.5334 -#> Model cost at call 78 : 196.5334 -#> Model cost at call 80 : 196.5334 -#> Optimisation by method Port successfully terminated.</div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/utils/topics/head'>head</a></span>(<span class='fu'>mkinpredict</span>(<span class='no'>f</span>))</div><div class='output co'>#> time parent m1 + <span class='no'>f</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>SFO_SFO</span>, <span class='no'>FOCUS_2006_C</span>)</div><div class='output co'>#> Negative log-likelihood at call 1: 552.5739 +#> Negative log-likelihood at call 3: 552.5739 +#> Negative log-likelihood at call 4: 552.5739 +#> Negative log-likelihood at call 6: 279.9345 +#> Negative log-likelihood at call 7: 279.9344 +#> Negative log-likelihood at call 8: 279.9294 +#> Negative log-likelihood at call 9: 279.9294 +#> Negative log-likelihood at call 12: 200.3629 +#> Negative log-likelihood at call 13: 200.3629 +#> Negative log-likelihood at call 18: 197.9039 +#> Negative log-likelihood at call 25: 196.6754 +#> Negative log-likelihood at call 27: 196.6754 +#> Negative log-likelihood at call 32: 196.5742 +#> Negative log-likelihood at call 33: 196.5742 +#> Negative log-likelihood at call 34: 196.5742 +#> Negative log-likelihood at call 38: 196.5361 +#> Negative log-likelihood at call 40: 196.5361 +#> Negative log-likelihood at call 44: 196.5336 +#> Negative log-likelihood at call 45: 196.5336 +#> Negative log-likelihood at call 50: 196.5334 +#> Negative log-likelihood at call 51: 196.5334 +#> Negative log-likelihood at call 52: 196.5334 +#> Negative log-likelihood at call 56: 196.5334 +#> Negative log-likelihood at call 58: 196.5334 +#> Negative log-likelihood at call 59: 196.5334 +#> Negative log-likelihood at call 65: 196.5334 +#> Negative log-likelihood at call 75: 26.64668 +#> Negative log-likelihood at call 103: 26.64668 +#> Optimisation successfully terminated.</div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/utils/topics/head'>head</a></span>(<span class='fu'>mkinpredict</span>(<span class='no'>f</span>))</div><div class='output co'>#> time parent m1 #> 1 0.0 82.49216 0.000000 -#> 2 0.1 80.00563 1.179955 -#> 3 0.2 77.59404 2.312580 -#> 4 0.3 75.25515 3.399419 -#> 5 0.4 72.98675 4.441969 -#> 6 0.5 70.78673 5.441679</div><div class='input'> </div></pre> +#> 2 0.1 80.00563 1.179956 +#> 3 0.2 77.59404 2.312583 +#> 4 0.3 75.25515 3.399424 +#> 5 0.4 72.98675 4.441974 +#> 6 0.5 70.78673 5.441685</div><div class='input'> </div></pre> </div> <div class="col-md-3 hidden-xs hidden-sm" id="sidebar"> <h2>Contents</h2> diff --git a/docs/reference/mkinresplot-1.png b/docs/reference/mkinresplot-1.png Binary files differindex b53869c7..5b7180ee 100644 --- a/docs/reference/mkinresplot-1.png +++ b/docs/reference/mkinresplot-1.png diff --git a/docs/reference/mkinresplot.html b/docs/reference/mkinresplot.html index c216d8b8..ab3b35b4 100644 --- a/docs/reference/mkinresplot.html +++ b/docs/reference/mkinresplot.html @@ -66,7 +66,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -199,8 +199,7 @@ <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2> - <pre class="examples"><div class='input'><span class='no'>model</span> <span class='kw'><-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span>(<span class='kw'>parent</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>, <span class='st'>"m1"</span>), <span class='kw'>m1</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>))</div><div class='output co'>#> <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'><span class='no'>fit</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>model</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) -<span class='fu'>mkinresplot</span>(<span class='no'>fit</span>, <span class='st'>"m1"</span>)</div><div class='img'><img src='mkinresplot-1.png' alt='' width='700' height='433' /></div></pre> + <pre class="examples"><div class='input'><span class='no'>model</span> <span class='kw'><-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span>(<span class='kw'>parent</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>, <span class='st'>"m1"</span>), <span class='kw'>m1</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>))</div><div class='output co'>#> <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'><span class='no'>fit</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>model</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'><span class='fu'>mkinresplot</span>(<span class='no'>fit</span>, <span class='st'>"m1"</span>)</div><div class='img'><img src='mkinresplot-1.png' alt='' width='700' height='433' /></div></pre> </div> <div class="col-md-3 hidden-xs hidden-sm" id="sidebar"> <h2>Contents</h2> diff --git a/docs/reference/mkinsub.html b/docs/reference/mkinsub.html index fee17102..b87ceca4 100644 --- a/docs/reference/mkinsub.html +++ b/docs/reference/mkinsub.html @@ -64,7 +64,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> diff --git a/docs/reference/mmkin-3.png b/docs/reference/mmkin-3.png Binary files differindex 952e6af3..4743eabd 100644 --- a/docs/reference/mmkin-3.png +++ b/docs/reference/mmkin-3.png diff --git a/docs/reference/mmkin-5.png b/docs/reference/mmkin-5.png Binary files differindex 7ab171d1..5e1527fa 100644 --- a/docs/reference/mmkin-5.png +++ b/docs/reference/mmkin-5.png diff --git a/docs/reference/mmkin.html b/docs/reference/mmkin.html index af963d13..68451ca6 100644 --- a/docs/reference/mmkin.html +++ b/docs/reference/mmkin.html @@ -64,7 +64,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -194,11 +194,11 @@ <span class='no'>time_1</span> <span class='kw'><-</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/system.time'>system.time</a></span>(<span class='no'>fits.4</span> <span class='kw'><-</span> <span class='fu'>mmkin</span>(<span class='no'>models</span>, <span class='no'>datasets</span>, <span class='kw'>cores</span> <span class='kw'>=</span> <span class='fl'>1</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)) <span class='no'>time_default</span></div><div class='output co'>#> User System verstrichen -#> 0.049 0.025 6.950 </div><div class='input'><span class='no'>time_1</span></div><div class='output co'>#> User System verstrichen -#> 22.404 0.000 22.417 </div><div class='input'> +#> 0.034 0.041 5.124 </div><div class='input'><span class='no'>time_1</span></div><div class='output co'>#> User System verstrichen +#> 19.594 0.000 19.605 </div><div class='input'> <span class='fu'><a href='endpoints.html'>endpoints</a></span>(<span class='no'>fits.0</span><span class='kw'>[[</span><span class='st'>"SFO_lin"</span>, <span class='fl'>2</span>]])</div><div class='output co'>#> $ff #> parent_M1 parent_sink M1_M2 M1_sink -#> 0.7340480 0.2659520 0.7505686 0.2494314 +#> 0.7340481 0.2659519 0.7505683 0.2494317 #> #> $SFORB #> logical(0) @@ -206,8 +206,8 @@ #> $distimes #> DT50 DT90 #> parent 0.8777689 2.915885 -#> M1 2.3257453 7.725959 -#> M2 33.7200874 112.015706 +#> M1 2.3257442 7.725955 +#> M2 33.7200941 112.015728 #> </div><div class='input'> <span class='co'># plot.mkinfit handles rows or columns of mmkin result objects</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/graphics/topics/plot'>plot</a></span>(<span class='no'>fits.0</span>[<span class='fl'>1</span>, ])</div><div class='img'><img src='mmkin-1.png' alt='' width='700' height='433' /></div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/graphics/topics/plot'>plot</a></span>(<span class='no'>fits.0</span>[<span class='fl'>1</span>, ], <span class='kw'>obs_var</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='st'>"M1"</span>, <span class='st'>"M2"</span>))</div><div class='img'><img src='mmkin-2.png' alt='' width='700' height='433' /></div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/graphics/topics/plot'>plot</a></span>(<span class='no'>fits.0</span>[, <span class='fl'>1</span>])</div><div class='img'><img src='mmkin-3.png' alt='' width='700' height='433' /></div><div class='input'><span class='co'># Use double brackets to extract a single mkinfit object, which will be plotted</span> diff --git a/docs/reference/nafta.html b/docs/reference/nafta.html index f12e24e0..93bc3955 100644 --- a/docs/reference/nafta.html +++ b/docs/reference/nafta.html @@ -65,7 +65,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -182,8 +182,7 @@ <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2> - <pre class="examples"><div class='input'> <span class='no'>nafta_evaluation</span> <span class='kw'><-</span> <span class='fu'>nafta</span>(<span class='no'>NAFTA_SOP_Appendix_D</span>, <span class='kw'>cores</span> <span class='kw'>=</span> <span class='fl'>1</span>)</div><div class='output co'>#> <span class='warning'>Warning: Calculation of the Jacobian failed for the cost function of the untransformed model.</span> -#> <span class='warning'>No t-test results will be available</span></div><div class='output co'>#> <span class='message'>The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</span></div><div class='output co'>#> <span class='message'>The representative half-life of the IORE model is longer than the one corresponding</span></div><div class='output co'>#> <span class='message'>to the terminal degradation rate found with the DFOP model.</span></div><div class='output co'>#> <span class='message'>The representative half-life obtained from the DFOP model may be used</span></div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/print'>print</a></span>(<span class='no'>nafta_evaluation</span>)</div><div class='output co'>#> Sums of squares: + <pre class="examples"><div class='input'> <span class='no'>nafta_evaluation</span> <span class='kw'><-</span> <span class='fu'>nafta</span>(<span class='no'>NAFTA_SOP_Appendix_D</span>, <span class='kw'>cores</span> <span class='kw'>=</span> <span class='fl'>1</span>)</div><div class='output co'>#> <span class='message'>The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</span></div><div class='output co'>#> <span class='message'>The representative half-life of the IORE model is longer than the one corresponding</span></div><div class='output co'>#> <span class='message'>to the terminal degradation rate found with the DFOP model.</span></div><div class='output co'>#> <span class='message'>The representative half-life obtained from the DFOP model may be used</span></div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/print'>print</a></span>(<span class='no'>nafta_evaluation</span>)</div><div class='output co'>#> Sums of squares: #> SFO IORE DFOP #> 1378.6832 615.7730 517.8836 #> @@ -192,22 +191,25 @@ #> #> Parameters: #> $SFO -#> Estimate Pr(>t) Lower Upper -#> parent_0 83.7558 8.08e-15 76.92822 90.58328 -#> k_parent_sink 0.0017 7.45e-05 0.00111 0.00262 +#> Estimate Pr(>t) Lower Upper +#> parent_0 83.7558 1.80e-14 77.18268 90.3288 +#> k_parent_sink 0.0017 7.43e-05 0.00112 0.0026 +#> sigma 8.7518 1.22e-05 5.64278 11.8608 #> #> $IORE #> Estimate Pr(>t) Lower Upper -#> parent_0 9.69e+01 NA 8.75e+01 1.06e+02 -#> k__iore_parent_sink 8.40e-14 NA 1.09e-19 6.47e-08 -#> N_parent 6.68e+00 NA 3.54e+00 9.83e+00 +#> parent_0 9.69e+01 NA 8.88e+01 1.05e+02 +#> k__iore_parent_sink 8.40e-14 NA 1.79e-18 3.94e-09 +#> N_parent 6.68e+00 NA 4.19e+00 9.17e+00 +#> sigma 5.85e+00 NA 3.76e+00 7.94e+00 #> #> $DFOP #> Estimate Pr(>t) Lower Upper -#> parent_0 9.76e+01 4.44e-13 8.88e+01 1.06e+02 -#> k1 4.24e-02 3.55e-02 1.41e-02 1.27e-01 -#> k2 8.24e-04 2.06e-02 3.17e-04 2.14e-03 -#> g 2.88e-01 1.31e-04 1.78e-01 4.30e-01 +#> parent_0 9.76e+01 1.94e-13 9.02e+01 1.05e+02 +#> k1 4.24e-02 5.92e-03 2.03e-02 8.88e-02 +#> k2 8.24e-04 6.48e-03 3.89e-04 1.75e-03 +#> g 2.88e-01 2.47e-05 1.95e-01 4.03e-01 +#> sigma 5.36e+00 2.22e-05 3.43e+00 7.30e+00 #> #> #> DTx values: @@ -217,7 +219,7 @@ #> DFOP 429 2380 841 #> #> Representative half-life: -#> [1] 841.4096</div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/graphics/topics/plot'>plot</a></span>(<span class='no'>nafta_evaluation</span>)</div><div class='img'><img src='nafta-1.png' alt='' width='700' height='433' /></div></pre> +#> [1] 841.4094</div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/graphics/topics/plot'>plot</a></span>(<span class='no'>nafta_evaluation</span>)</div><div class='img'><img src='nafta-1.png' alt='' width='700' height='433' /></div></pre> </div> <div class="col-md-3 hidden-xs hidden-sm" id="sidebar"> <h2>Contents</h2> diff --git a/docs/reference/plot.mkinfit-1.png b/docs/reference/plot.mkinfit-1.png Binary files differindex f7404448..115792db 100644 --- a/docs/reference/plot.mkinfit-1.png +++ b/docs/reference/plot.mkinfit-1.png diff --git a/docs/reference/plot.mkinfit-2.png b/docs/reference/plot.mkinfit-2.png Binary files differindex 93c9efe0..15bdba55 100644 --- a/docs/reference/plot.mkinfit-2.png +++ b/docs/reference/plot.mkinfit-2.png diff --git a/docs/reference/plot.mkinfit-3.png b/docs/reference/plot.mkinfit-3.png Binary files differindex 7b8a81e2..9a074f31 100644 --- a/docs/reference/plot.mkinfit-3.png +++ b/docs/reference/plot.mkinfit-3.png diff --git a/docs/reference/plot.mkinfit-4.png b/docs/reference/plot.mkinfit-4.png Binary files differindex d44b6f9f..f8ae39c2 100644 --- a/docs/reference/plot.mkinfit-4.png +++ b/docs/reference/plot.mkinfit-4.png diff --git a/docs/reference/plot.mkinfit.html b/docs/reference/plot.mkinfit.html index 7255b324..525200ff 100644 --- a/docs/reference/plot.mkinfit.html +++ b/docs/reference/plot.mkinfit.html @@ -68,7 +68,7 @@ If the current plot device is a tikz device, </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -261,10 +261,9 @@ plot_sep(fit, sep_obs = TRUE, show_residuals = TRUE, show_errmin = TRUE, … <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2> <pre class="examples"><div class='input'><span class='co'># One parent compound, one metabolite, both single first order, path from</span> -<span class='co'># parent to sink included, use Levenberg-Marquardt for speed</span> +<span class='co'># parent to sink included</span> <span class='no'>SFO_SFO</span> <span class='kw'><-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span>(<span class='kw'>parent</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>, <span class='st'>"m1"</span>, <span class='kw'>full</span> <span class='kw'>=</span> <span class='st'>"Parent"</span>), - <span class='kw'>m1</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>, <span class='kw'>full</span> <span class='kw'>=</span> <span class='st'>"Metabolite M1"</span> ))</div><div class='output co'>#> <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'><span class='no'>fit</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>SFO_SFO</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>method.modFit</span> <span class='kw'>=</span> <span class='st'>"Marq"</span>) -<span class='fu'><a href='https://www.rdocumentation.org/packages/graphics/topics/plot'>plot</a></span>(<span class='no'>fit</span>)</div><div class='img'><img src='plot.mkinfit-1.png' alt='' width='700' height='433' /></div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/graphics/topics/plot'>plot</a></span>(<span class='no'>fit</span>, <span class='kw'>show_residuals</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='img'><img src='plot.mkinfit-2.png' alt='' width='700' height='433' /></div><div class='input'> + <span class='kw'>m1</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>, <span class='kw'>full</span> <span class='kw'>=</span> <span class='st'>"Metabolite M1"</span> ))</div><div class='output co'>#> <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'><span class='no'>fit</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>SFO_SFO</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/graphics/topics/plot'>plot</a></span>(<span class='no'>fit</span>)</div><div class='img'><img src='plot.mkinfit-1.png' alt='' width='700' height='433' /></div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/graphics/topics/plot'>plot</a></span>(<span class='no'>fit</span>, <span class='kw'>show_residuals</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='img'><img src='plot.mkinfit-2.png' alt='' width='700' height='433' /></div><div class='input'> <span class='co'># Show the observed variables separately</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/graphics/topics/plot'>plot</a></span>(<span class='no'>fit</span>, <span class='kw'>sep_obs</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>lpos</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='st'>"topright"</span>, <span class='st'>"bottomright"</span>))</div><div class='img'><img src='plot.mkinfit-3.png' alt='' width='700' height='433' /></div><div class='input'> <span class='co'># Show the observed variables separately, with residuals</span> diff --git a/docs/reference/plot.mmkin-1.png b/docs/reference/plot.mmkin-1.png Binary files differindex 2aa7aad9..60e602d4 100644 --- a/docs/reference/plot.mmkin-1.png +++ b/docs/reference/plot.mmkin-1.png diff --git a/docs/reference/plot.mmkin-2.png b/docs/reference/plot.mmkin-2.png Binary files differindex 94b1332a..f1e4318c 100644 --- a/docs/reference/plot.mmkin-2.png +++ b/docs/reference/plot.mmkin-2.png diff --git a/docs/reference/plot.mmkin-3.png b/docs/reference/plot.mmkin-3.png Binary files differindex ca78fa42..04762756 100644 --- a/docs/reference/plot.mmkin-3.png +++ b/docs/reference/plot.mmkin-3.png diff --git a/docs/reference/plot.mmkin.html b/docs/reference/plot.mmkin.html index e1651208..b3f2de66 100644 --- a/docs/reference/plot.mmkin.html +++ b/docs/reference/plot.mmkin.html @@ -67,7 +67,7 @@ If the current plot device is a tikz device, </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -187,10 +187,10 @@ If the current plot device is a tikz device, <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2> - <pre class="examples"><div class='input'> <span class='co'># Only use one core not to offend CRAN checks, use Levenberg-Marquardt for speed</span> + <pre class="examples"><div class='input'> <span class='co'># Only use one core not to offend CRAN checks</span> <span class='no'>fits</span> <span class='kw'><-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span>(<span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='st'>"FOMC"</span>, <span class='st'>"HS"</span>), <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/list'>list</a></span>(<span class='st'>"FOCUS B"</span> <span class='kw'>=</span> <span class='no'>FOCUS_2006_B</span>, <span class='st'>"FOCUS C"</span> <span class='kw'>=</span> <span class='no'>FOCUS_2006_C</span>), <span class='co'># named list for titles</span> - <span class='kw'>cores</span> <span class='kw'>=</span> <span class='fl'>1</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>method.modFit</span> <span class='kw'>=</span> <span class='st'>"Marq"</span>) + <span class='kw'>cores</span> <span class='kw'>=</span> <span class='fl'>1</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) <span class='fu'><a href='https://www.rdocumentation.org/packages/graphics/topics/plot'>plot</a></span>(<span class='no'>fits</span>[, <span class='st'>"FOCUS C"</span>])</div><div class='img'><img src='plot.mmkin-1.png' alt='' width='700' height='433' /></div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/graphics/topics/plot'>plot</a></span>(<span class='no'>fits</span>[<span class='st'>"FOMC"</span>, ])</div><div class='img'><img src='plot.mmkin-2.png' alt='' width='700' height='433' /></div><div class='input'> <span class='co'># We can also plot a single fit, if we like the way plot.mmkin works, but then the plot</span> <span class='co'># height should be smaller than the plot width (this is not possible for the html pages</span> diff --git a/docs/reference/plot.nafta.html b/docs/reference/plot.nafta.html index 753cbd6a..1aa4485a 100644 --- a/docs/reference/plot.nafta.html +++ b/docs/reference/plot.nafta.html @@ -67,7 +67,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> diff --git a/docs/reference/print.mkinds.html b/docs/reference/print.mkinds.html index 96607b02..2cc112aa 100644 --- a/docs/reference/print.mkinds.html +++ b/docs/reference/print.mkinds.html @@ -63,7 +63,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> diff --git a/docs/reference/print.mkinmod.html b/docs/reference/print.mkinmod.html index 7e138697..d09b629e 100644 --- a/docs/reference/print.mkinmod.html +++ b/docs/reference/print.mkinmod.html @@ -63,7 +63,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> diff --git a/docs/reference/print.nafta.html b/docs/reference/print.nafta.html index 1b35053f..28847afe 100644 --- a/docs/reference/print.nafta.html +++ b/docs/reference/print.nafta.html @@ -65,7 +65,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> diff --git a/docs/reference/schaefer07_complex_case-1.png b/docs/reference/schaefer07_complex_case-1.png Binary files differindex 6a621369..49967dc9 100644 --- a/docs/reference/schaefer07_complex_case-1.png +++ b/docs/reference/schaefer07_complex_case-1.png diff --git a/docs/reference/schaefer07_complex_case.html b/docs/reference/schaefer07_complex_case.html index 1e8a6d9e..fec2a187 100644 --- a/docs/reference/schaefer07_complex_case.html +++ b/docs/reference/schaefer07_complex_case.html @@ -65,7 +65,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -167,7 +167,7 @@ <span class='kw'>A2</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/list'>list</a></span>(<span class='kw'>type</span> <span class='kw'>=</span> <span class='st'>"SFO"</span>), <span class='kw'>use_of_ff</span> <span class='kw'>=</span> <span class='st'>"max"</span>)</div><div class='output co'>#> <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'> </div><div class='input'> <span class='no'>fit</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>model</span>, <span class='no'>data</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) <span class='fu'><a href='https://www.rdocumentation.org/packages/graphics/topics/plot'>plot</a></span>(<span class='no'>fit</span>)</div><div class='img'><img src='schaefer07_complex_case-1.png' alt='' width='700' height='433' /></div><div class='input'> <span class='fu'><a href='endpoints.html'>endpoints</a></span>(<span class='no'>fit</span>)</div><div class='output co'>#> $ff #> parent_A1 parent_B1 parent_C1 parent_sink A1_A2 A1_sink -#> 0.3809621 0.1954665 0.4235714 0.0000000 0.4479674 0.5520326 +#> 0.3809619 0.1954667 0.4235714 0.0000000 0.4479605 0.5520395 #> #> $SFORB #> logical(0) @@ -175,10 +175,10 @@ #> $distimes #> DT50 DT90 #> parent 13.95078 46.34350 -#> A1 49.75342 165.27728 -#> B1 37.26913 123.80536 -#> C1 11.23133 37.30968 -#> A2 28.50591 94.69457 +#> A1 49.75344 165.27734 +#> B1 37.26908 123.80520 +#> C1 11.23130 37.30958 +#> A2 28.50644 94.69634 #> </div><div class='input'> </div><div class='input'> <span class='co'># Compare with the results obtained in the original publication</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/print'>print</a></span>(<span class='no'>schaefer07_complex_results</span>)</div><div class='output co'>#> compound parameter KinGUI ModelMaker deviation #> 1 parent degradation rate 0.0496 0.0506 2.0 diff --git a/docs/reference/sigma_twocomp.html b/docs/reference/sigma_twocomp.html index eca5deec..265c7d1f 100644 --- a/docs/reference/sigma_twocomp.html +++ b/docs/reference/sigma_twocomp.html @@ -68,7 +68,7 @@ This is the error model used for example by Werner et al. (1978). The model </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> diff --git a/docs/reference/summary.mkinfit.html b/docs/reference/summary.mkinfit.html index f561e258..e5565990 100644 --- a/docs/reference/summary.mkinfit.html +++ b/docs/reference/summary.mkinfit.html @@ -32,10 +32,10 @@ <meta property="og:title" content="Summary method for class "mkinfit" — summary.mkinfit" /> -<meta property="og:description" content="Lists model equations, the summary as returned by summary.modFit, - the chi2 error levels calculated according to FOCUS guidance (2006) as far - as defined therein, and optionally the data, consisting of observed, predicted - and residual values." /> +<meta property="og:description" content="Lists model equations, initial parameter values, optimised parameters with some + uncertainty statistics, the chi2 error levels calculated according to FOCUS + guidance (2006) as defined therein, formation fractions, DT50 values and + optionally the data, consisting of observed, predicted and residual values." /> <meta name="twitter:card" content="summary" /> @@ -66,7 +66,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -131,10 +131,10 @@ <div class="ref-description"> - <p>Lists model equations, the summary as returned by <code>summary.modFit</code>, - the chi2 error levels calculated according to FOCUS guidance (2006) as far - as defined therein, and optionally the data, consisting of observed, predicted - and residual values.</p> + <p>Lists model equations, initial parameter values, optimised parameters with some + uncertainty statistics, the chi2 error levels calculated according to FOCUS + guidance (2006) as defined therein, formation fractions, DT50 values and + optionally the data, consisting of observed, predicted and residual values.</p> </div> @@ -178,8 +178,7 @@ <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2> - <p>The summary function returns a list derived from - <code>summary.modFit</code>, with components, among others</p> + <p>The summary function returns a list with components, among others</p> <dt>version, Rversion</dt><dd><p>The mkin and R versions used</p></dd> <dt>date.fit, date.summary</dt><dd><p>The dates where the fit and the summary were produced</p></dd> <dt>use_of_ff</dt><dd><p>Was maximum or minimum use made of formation fractions</p></dd> @@ -193,6 +192,7 @@ <dt>errmin </dt><dd><p>The chi2 error levels for each observed variable.</p></dd> <dt>bparms.ode </dt><dd><p>All backtransformed ODE parameters, for use as starting parameters for related models.</p></dd> + <dt>errparms </dt><dd><p>Error model parameters.</p></dd> <dt>ff </dt><dd><p>The estimated formation fractions derived from the fitted model.</p></dd> <dt>distimes </dt><dd><p>The DT50 and DT90 values for each observed variable.</p></dd> <dt>SFORB</dt><dd><p>If applicable, eigenvalues of SFORB components of the model.</p></dd> @@ -209,52 +209,56 @@ <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2> - <pre class="examples"><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='fu'><a href='mkinmod.html'>mkinmod</a></span>(<span class='kw'>parent</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>)), <span class='no'>FOCUS_2006_A</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>))</div><div class='output co'>#> mkin version used for fitting: 0.9.48.1 -#> R version used for fitting: 3.5.2 -#> Date of fit: Mon Mar 4 14:06:25 2019 -#> Date of summary: Mon Mar 4 14:06:25 2019 + <pre class="examples"><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='fu'><a href='mkinmod.html'>mkinmod</a></span>(<span class='kw'>parent</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>)), <span class='no'>FOCUS_2006_A</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>))</div><div class='output co'>#> mkin version used for fitting: 0.9.49.4 +#> R version used for fitting: 3.5.3 +#> Date of fit: Wed Apr 10 10:11:15 2019 +#> Date of summary: Wed Apr 10 10:11:15 2019 #> #> Equations: #> d_parent/dt = - k_parent_sink * parent #> #> Model predictions using solution type analytical #> -#> Fitted with method Port using 35 model solutions performed in 0.085 s +#> Fitted with method using 131 model solutions performed in 0.284 s #> -#> Weighting: none +#> Error model: +#> NULL #> #> Starting values for parameters to be optimised: -#> value type -#> parent_0 101.24 state -#> k_parent_sink 0.10 deparm +#> value type +#> parent_0 101.240000 state +#> k_parent_sink 0.100000 deparm +#> sigma 5.265546 error #> #> Starting values for the transformed parameters actually optimised: #> value lower upper #> parent_0 101.240000 -Inf Inf #> log_k_parent_sink -2.302585 -Inf Inf +#> sigma 5.265546 0 Inf #> #> Fixed parameter values: #> None #> #> Optimised, transformed parameters with symmetric confidence intervals: #> Estimate Std. Error Lower Upper -#> parent_0 109.200 4.3910 98.410 119.900 -#> log_k_parent_sink -3.291 0.1152 -3.573 -3.009 +#> parent_0 109.200 3.70400 99.630 118.700 +#> log_k_parent_sink -3.291 0.09176 -3.527 -3.055 +#> sigma 5.266 1.31600 1.882 8.649 #> #> Parameter correlation: -#> parent_0 log_k_parent_sink -#> parent_0 1.000 0.575 -#> log_k_parent_sink 0.575 1.000 -#> -#> Residual standard error: 6.08 on 6 degrees of freedom +#> parent_0 log_k_parent_sink sigma +#> parent_0 1.000e+00 5.428e-01 1.642e-07 +#> log_k_parent_sink 5.428e-01 1.000e+00 2.507e-07 +#> sigma 1.642e-07 2.507e-07 1.000e+00 #> #> Backtransformed parameters: #> Confidence intervals for internally transformed parameters are asymmetric. #> t-test (unrealistically) based on the assumption of normal distribution #> for estimators of untransformed parameters. -#> Estimate t value Pr(>t) Lower Upper -#> parent_0 109.20000 24.860 1.394e-07 98.41000 119.90000 -#> k_parent_sink 0.03722 8.679 6.457e-05 0.02807 0.04934 +#> Estimate t value Pr(>t) Lower Upper +#> parent_0 109.20000 29.47 4.218e-07 99.6300 118.70000 +#> k_parent_sink 0.03722 10.90 5.650e-05 0.0294 0.04712 +#> sigma 5.26600 4.00 5.162e-03 1.8820 8.64900 #> #> Chi2 error levels in percent: #> err.min n.optim df diff --git a/docs/reference/synthetic_data_for_UBA.html b/docs/reference/synthetic_data_for_UBA.html index 6e36e72f..2c2623e4 100644 --- a/docs/reference/synthetic_data_for_UBA.html +++ b/docs/reference/synthetic_data_for_UBA.html @@ -78,7 +78,7 @@ Compare also the code in the example section to see the degradation models." /> </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> diff --git a/docs/reference/test_data_from_UBA_2014-1.png b/docs/reference/test_data_from_UBA_2014-1.png Binary files differindex 47670389..9157a6a1 100644 --- a/docs/reference/test_data_from_UBA_2014-1.png +++ b/docs/reference/test_data_from_UBA_2014-1.png diff --git a/docs/reference/test_data_from_UBA_2014-2.png b/docs/reference/test_data_from_UBA_2014-2.png Binary files differindex 8d282842..528f3987 100644 --- a/docs/reference/test_data_from_UBA_2014-2.png +++ b/docs/reference/test_data_from_UBA_2014-2.png diff --git a/docs/reference/test_data_from_UBA_2014.html b/docs/reference/test_data_from_UBA_2014.html index 28e8b41c..dfb49619 100644 --- a/docs/reference/test_data_from_UBA_2014.html +++ b/docs/reference/test_data_from_UBA_2014.html @@ -64,7 +64,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -158,23 +158,24 @@ <span class='co'># large parameter correlations, among other reasons (e.g. the adequacy of the</span> <span class='co'># model).</span> <span class='no'>m_ws</span> <span class='kw'><-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span>(<span class='kw'>parent_w</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>, <span class='st'>"parent_s"</span>), - <span class='kw'>parent_s</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>, <span class='st'>"parent_w"</span>))</div><div class='output co'>#> <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'> <span class='no'>f_river</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>m_ws</span>, <span class='no'>test_data_from_UBA_2014</span><span class='kw'>[[</span><span class='fl'>1</span>]]$<span class='no'>data</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) - <span class='fu'><a href='plot.mkinfit.html'>plot_sep</a></span>(<span class='no'>f_river</span>)</div><div class='img'><img src='test_data_from_UBA_2014-1.png' alt='' width='700' height='433' /></div><div class='input'> - <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>f_river</span>)$<span class='no'>bpar</span></div><div class='output co'>#> <span class='warning'>Warning: Could not estimate covariance matrix; singular system.</span></div><div class='output co'>#> Estimate se_notrans t value Pr(>t) Lower -#> parent_w_0 9.598567e+01 2.33959800 4.102657e+01 9.568967e-19 NA -#> k_parent_w_sink 3.603743e-01 0.03497750 1.030303e+01 4.989002e-09 NA -#> k_parent_w_parent_s 6.031371e-02 0.01746024 3.454346e+00 1.514723e-03 NA -#> k_parent_s_sink 5.108539e-11 0.10382001 4.920572e-10 5.000000e-01 NA -#> k_parent_s_parent_w 7.419672e-02 0.11338240 6.543936e-01 2.608069e-01 NA -#> Upper -#> parent_w_0 NA -#> k_parent_w_sink NA -#> k_parent_w_parent_s NA -#> k_parent_s_sink NA -#> k_parent_s_parent_w NA</div><div class='input'> <span class='fu'><a href='mkinerrmin.html'>mkinerrmin</a></span>(<span class='no'>f_river</span>)</div><div class='output co'>#> err.min n.optim df + <span class='kw'>parent_s</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>, <span class='st'>"parent_w"</span>))</div><div class='output co'>#> <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'> <span class='no'>f_river</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>m_ws</span>, <span class='no'>test_data_from_UBA_2014</span><span class='kw'>[[</span><span class='fl'>1</span>]]$<span class='no'>data</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'> <span class='fu'><a href='plot.mkinfit.html'>plot_sep</a></span>(<span class='no'>f_river</span>)</div><div class='img'><img src='test_data_from_UBA_2014-1.png' alt='' width='700' height='433' /></div><div class='input'> + <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>f_river</span>)$<span class='no'>bpar</span></div><div class='output co'>#> Estimate se_notrans t value Pr(>t) +#> parent_w_0 9.598567e+01 2.12352039 4.520120e+01 9.476357e-18 +#> k_parent_w_sink 3.603743e-01 0.03149366 1.144276e+01 4.128096e-09 +#> k_parent_w_parent_s 6.031371e-02 0.01603582 3.761185e+00 9.436293e-04 +#> k_parent_s_sink 7.560341e-11 0.09483761 7.971881e-10 5.000000e-01 +#> k_parent_s_parent_w 7.419672e-02 0.10738374 6.909493e-01 2.500756e-01 +#> sigma 2.982879e+00 0.50546582 5.901247e+00 1.454824e-05 +#> Lower Upper +#> parent_w_0 91.48420501 100.4871438 +#> k_parent_w_sink 0.30668904 0.4234571 +#> k_parent_w_parent_s 0.03423904 0.1062455 +#> k_parent_s_sink 0.00000000 Inf +#> k_parent_s_parent_w 0.02289956 0.2404043 +#> sigma 2.00184022 3.9639169</div><div class='input'> <span class='fu'><a href='mkinerrmin.html'>mkinerrmin</a></span>(<span class='no'>f_river</span>)</div><div class='output co'>#> err.min n.optim df #> All data 0.09246946 5 6 #> parent_w 0.06377096 3 3 -#> parent_s 0.20882324 2 3</div><div class='input'> +#> parent_s 0.20882325 2 3</div><div class='input'> <span class='co'># This is the evaluation used for the validation of software packages</span> <span class='co'># in the expertise from 2014</span> <span class='no'>m_soil</span> <span class='kw'><-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span>(<span class='kw'>parent</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>, <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='st'>"M1"</span>, <span class='st'>"M2"</span>)), @@ -182,27 +183,28 @@ <span class='kw'>M2</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>, <span class='st'>"M3"</span>), <span class='kw'>M3</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>), <span class='kw'>use_of_ff</span> <span class='kw'>=</span> <span class='st'>"max"</span>)</div><div class='output co'>#> <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'> - <span class='no'>f_soil</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>m_soil</span>, <span class='no'>test_data_from_UBA_2014</span><span class='kw'>[[</span><span class='fl'>3</span>]]$<span class='no'>data</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) - <span class='fu'><a href='plot.mkinfit.html'>plot_sep</a></span>(<span class='no'>f_soil</span>, <span class='kw'>lpos</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='st'>"topright"</span>, <span class='st'>"topright"</span>, <span class='st'>"topright"</span>, <span class='st'>"bottomright"</span>))</div><div class='img'><img src='test_data_from_UBA_2014-2.png' alt='' width='700' height='433' /></div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>f_soil</span>)$<span class='no'>bpar</span></div><div class='output co'>#> Estimate se_notrans t value Pr(>t) Lower -#> parent_0 76.55425584 0.943443794 81.1434198 4.422336e-30 74.602593773 -#> k_parent 0.12081956 0.004815515 25.0896457 1.639665e-18 0.111257517 -#> k_M1 0.84258651 0.930121548 0.9058886 1.871938e-01 0.085876516 -#> k_M2 0.04210878 0.013729902 3.0669396 2.729137e-03 0.021450630 -#> k_M3 0.01122919 0.008044865 1.3958206 8.804912e-02 0.002550984 -#> f_parent_to_M1 0.32240199 0.278620579 1.1571363 1.295467e-01 NA -#> f_parent_to_M2 0.16099854 0.030548888 5.2701931 1.196190e-05 NA -#> f_M1_to_M3 0.27921500 0.314732842 0.8871492 1.920908e-01 0.015016983 -#> f_M2_to_M3 0.55641333 0.650246995 0.8556954 2.004966e-01 0.005360555 + <span class='no'>f_soil</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>m_soil</span>, <span class='no'>test_data_from_UBA_2014</span><span class='kw'>[[</span><span class='fl'>3</span>]]$<span class='no'>data</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'> <span class='fu'><a href='plot.mkinfit.html'>plot_sep</a></span>(<span class='no'>f_soil</span>, <span class='kw'>lpos</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='st'>"topright"</span>, <span class='st'>"topright"</span>, <span class='st'>"topright"</span>, <span class='st'>"bottomright"</span>))</div><div class='img'><img src='test_data_from_UBA_2014-2.png' alt='' width='700' height='433' /></div><div class='input'> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>f_soil</span>)$<span class='no'>bpar</span></div><div class='output co'>#> Estimate se_notrans t value Pr(>t) Lower +#> parent_0 76.55425584 0.859186614 89.1008479 1.113866e-26 74.755959751 +#> k_parent 0.12081956 0.004601922 26.2541548 1.077373e-16 0.111561582 +#> k_M1 0.84258651 0.806231481 1.0450925 1.545475e-01 0.113839756 +#> k_M2 0.04210878 0.017083049 2.4649452 1.170195e-02 0.018013807 +#> k_M3 0.01122919 0.007245890 1.5497322 6.885127e-02 0.002909463 +#> f_parent_to_M1 0.32240199 0.240803570 1.3388589 9.820821e-02 NA +#> f_parent_to_M2 0.16099854 0.033691991 4.7785403 6.531225e-05 NA +#> f_M1_to_M3 0.27921500 0.269443517 1.0362654 1.565440e-01 0.022992921 +#> f_M2_to_M3 0.55641333 0.595125456 0.9349513 1.807725e-01 0.008003316 +#> sigma 1.14005399 0.149696423 7.6157731 1.727024e-07 0.826735778 #> Upper -#> parent_0 78.50591790 -#> k_parent 0.13120341 -#> k_M1 8.26712661 -#> k_M2 0.08266188 -#> k_M3 0.04942981 +#> parent_0 78.35255192 +#> k_parent 0.13084582 +#> k_M1 6.23641562 +#> k_M2 0.09843279 +#> k_M3 0.04333950 #> f_parent_to_M1 NA #> f_parent_to_M2 NA -#> f_M1_to_M3 0.90777163 -#> f_M2_to_M3 0.99658633</div><div class='input'> <span class='fu'><a href='mkinerrmin.html'>mkinerrmin</a></span>(<span class='no'>f_soil</span>)</div><div class='output co'>#> err.min n.optim df +#> f_M1_to_M3 0.86443090 +#> f_M2_to_M3 0.99489847 +#> sigma 1.45337221</div><div class='input'> <span class='fu'><a href='mkinerrmin.html'>mkinerrmin</a></span>(<span class='no'>f_soil</span>)</div><div class='output co'>#> err.min n.optim df #> All data 0.09649963 9 20 #> parent 0.04721283 2 6 #> M1 0.26551209 2 5 diff --git a/docs/reference/transform_odeparms.html b/docs/reference/transform_odeparms.html index fbc792f1..7e05480e 100644 --- a/docs/reference/transform_odeparms.html +++ b/docs/reference/transform_odeparms.html @@ -71,7 +71,7 @@ The transformation of sets of formation fractions is fragile, as it supposes </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.48.1</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span> </span> </div> @@ -202,30 +202,32 @@ The transformation of sets of formation fractions is fragile, as it supposes <pre class="examples"><div class='input'><span class='no'>SFO_SFO</span> <span class='kw'><-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span>( <span class='kw'>parent</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/list'>list</a></span>(<span class='kw'>type</span> <span class='kw'>=</span> <span class='st'>"SFO"</span>, <span class='kw'>to</span> <span class='kw'>=</span> <span class='st'>"m1"</span>, <span class='kw'>sink</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>), <span class='kw'>m1</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/list'>list</a></span>(<span class='kw'>type</span> <span class='kw'>=</span> <span class='st'>"SFO"</span>))</div><div class='output co'>#> <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'><span class='co'># Fit the model to the FOCUS example dataset D using defaults</span> -<span class='no'>fit</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>SFO_SFO</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) -<span class='no'>fit.s</span> <span class='kw'><-</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>fit</span>) +<span class='no'>fit</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>SFO_SFO</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'><span class='no'>fit.s</span> <span class='kw'><-</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>fit</span>) <span class='co'># Transformed and backtransformed parameters</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/print'>print</a></span>(<span class='no'>fit.s</span>$<span class='no'>par</span>, <span class='fl'>3</span>)</div><div class='output co'>#> Estimate Std. Error Lower Upper -#> parent_0 99.60 1.6137 96.33 102.87 -#> log_k_parent_sink -3.04 0.0783 -3.20 -2.88 -#> log_k_parent_m1 -2.98 0.0412 -3.06 -2.90 -#> log_k_m1_sink -5.25 0.1361 -5.52 -4.97</div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/print'>print</a></span>(<span class='no'>fit.s</span>$<span class='no'>bpar</span>, <span class='fl'>3</span>)</div><div class='output co'>#> Estimate se_notrans t value Pr(>t) Lower Upper -#> parent_0 99.59848 1.613712 61.72 2.02e-38 96.32572 1.03e+02 -#> k_parent_sink 0.04792 0.003750 12.78 3.05e-15 0.04089 5.62e-02 -#> k_parent_m1 0.05078 0.002094 24.25 3.41e-24 0.04670 5.52e-02 -#> k_m1_sink 0.00526 0.000716 7.35 5.76e-09 0.00399 6.93e-03</div><div class='input'> +#> parent_0 99.60 1.5702 96.40 102.79 +#> log_k_parent_sink -3.04 0.0763 -3.19 -2.88 +#> log_k_parent_m1 -2.98 0.0403 -3.06 -2.90 +#> log_k_m1_sink -5.25 0.1332 -5.52 -4.98 +#> sigma 3.13 0.3585 2.40 3.85</div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/print'>print</a></span>(<span class='no'>fit.s</span>$<span class='no'>bpar</span>, <span class='fl'>3</span>)</div><div class='output co'>#> Estimate se_notrans t value Pr(>t) Lower Upper +#> parent_0 99.59848 1.57022 63.43 2.30e-36 96.40384 102.7931 +#> k_parent_sink 0.04792 0.00365 13.11 6.13e-15 0.04103 0.0560 +#> k_parent_m1 0.05078 0.00205 24.80 3.27e-23 0.04678 0.0551 +#> k_m1_sink 0.00526 0.00070 7.51 6.16e-09 0.00401 0.0069 +#> sigma 3.12550 0.35852 8.72 2.24e-10 2.39609 3.8549</div><div class='input'> </div><div class='input'><span class='co'># Compare to the version without transforming rate parameters</span> -<span class='no'>fit.2</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>SFO_SFO</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>transform_rates</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) -<span class='no'>fit.2.s</span> <span class='kw'><-</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>fit.2</span>) +<span class='no'>fit.2</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>SFO_SFO</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>transform_rates</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'><span class='no'>fit.2.s</span> <span class='kw'><-</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>fit.2</span>) <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/print'>print</a></span>(<span class='no'>fit.2.s</span>$<span class='no'>par</span>, <span class='fl'>3</span>)</div><div class='output co'>#> Estimate Std. Error Lower Upper -#> parent_0 99.59848 1.613710 96.32573 1.03e+02 -#> k_parent_sink 0.04792 0.003750 0.04031 5.55e-02 -#> k_parent_m1 0.05078 0.002094 0.04653 5.50e-02 -#> k_m1_sink 0.00526 0.000716 0.00381 6.71e-03</div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/print'>print</a></span>(<span class='no'>fit.2.s</span>$<span class='no'>bpar</span>, <span class='fl'>3</span>)</div><div class='output co'>#> Estimate se_notrans t value Pr(>t) Lower Upper -#> parent_0 99.59848 1.613710 61.72 2.02e-38 96.32573 1.03e+02 -#> k_parent_sink 0.04792 0.003750 12.78 3.05e-15 0.04031 5.55e-02 -#> k_parent_m1 0.05078 0.002094 24.25 3.41e-24 0.04653 5.50e-02 -#> k_m1_sink 0.00526 0.000716 7.35 5.76e-09 0.00381 6.71e-03</div><div class='input'> +#> parent_0 99.59848 1.57022 96.40384 1.03e+02 +#> k_parent_sink 0.04792 0.00365 0.04049 5.54e-02 +#> k_parent_m1 0.05078 0.00205 0.04661 5.49e-02 +#> k_m1_sink 0.00526 0.00070 0.00384 6.69e-03 +#> sigma 3.12550 0.35852 2.39609 3.85e+00</div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/print'>print</a></span>(<span class='no'>fit.2.s</span>$<span class='no'>bpar</span>, <span class='fl'>3</span>)</div><div class='output co'>#> Estimate se_notrans t value Pr(>t) Lower Upper +#> parent_0 99.59848 1.57022 63.43 2.30e-36 96.40384 1.03e+02 +#> k_parent_sink 0.04792 0.00365 13.11 6.13e-15 0.04049 5.54e-02 +#> k_parent_m1 0.05078 0.00205 24.80 3.27e-23 0.04661 5.49e-02 +#> k_m1_sink 0.00526 0.00070 7.51 6.16e-09 0.00384 6.69e-03 +#> sigma 3.12550 0.35852 8.72 2.24e-10 2.39609 3.85e+00</div><div class='input'> <span class='no'>initials</span> <span class='kw'><-</span> <span class='no'>fit</span>$<span class='no'>start</span>$<span class='no'>value</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/names'>names</a></span>(<span class='no'>initials</span>) <span class='kw'><-</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/colnames'>rownames</a></span>(<span class='no'>fit</span>$<span class='no'>start</span>) <span class='no'>transformed</span> <span class='kw'><-</span> <span class='no'>fit</span>$<span class='no'>start_transformed</span>$<span class='no'>value</span> @@ -238,17 +240,18 @@ The transformation of sets of formation fractions is fragile, as it supposes <span class='kw'>parent</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/list'>list</a></span>(<span class='kw'>type</span> <span class='kw'>=</span> <span class='st'>"SFO"</span>, <span class='kw'>to</span> <span class='kw'>=</span> <span class='st'>"m1"</span>, <span class='kw'>sink</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>), <span class='kw'>m1</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/list'>list</a></span>(<span class='kw'>type</span> <span class='kw'>=</span> <span class='st'>"SFO"</span>), <span class='kw'>use_of_ff</span> <span class='kw'>=</span> <span class='st'>"max"</span>)</div><div class='output co'>#> <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'> -<span class='no'>fit.ff</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>SFO_SFO.ff</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) -<span class='no'>fit.ff.s</span> <span class='kw'><-</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>fit.ff</span>) +<span class='no'>fit.ff</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>SFO_SFO.ff</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'><span class='no'>fit.ff.s</span> <span class='kw'><-</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>fit.ff</span>) <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/print'>print</a></span>(<span class='no'>fit.ff.s</span>$<span class='no'>par</span>, <span class='fl'>3</span>)</div><div class='output co'>#> Estimate Std. Error Lower Upper -#> parent_0 99.598 1.6137 96.3257 102.871 -#> log_k_parent -2.316 0.0419 -2.4006 -2.231 -#> log_k_m1 -5.248 0.1361 -5.5235 -4.972 -#> f_parent_ilr_1 0.041 0.0648 -0.0904 0.172</div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/print'>print</a></span>(<span class='no'>fit.ff.s</span>$<span class='no'>bpar</span>, <span class='fl'>3</span>)</div><div class='output co'>#> Estimate se_notrans t value Pr(>t) Lower Upper -#> parent_0 99.59848 1.613712 61.72 2.02e-38 96.32574 1.03e+02 -#> k_parent 0.09870 0.004132 23.88 5.70e-24 0.09066 1.07e-01 -#> k_m1 0.00526 0.000716 7.35 5.76e-09 0.00399 6.93e-03 -#> f_parent_to_m1 0.51448 0.022880 22.49 4.37e-23 0.46808 5.61e-01</div><div class='input'><span class='no'>initials</span> <span class='kw'><-</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='st'>"f_parent_to_m1"</span> <span class='kw'>=</span> <span class='fl'>0.5</span>) +#> parent_0 99.598 1.5702 96.4038 102.793 +#> log_k_parent -2.316 0.0409 -2.3988 -2.233 +#> log_k_m1 -5.248 0.1332 -5.5184 -4.977 +#> f_parent_ilr_1 0.041 0.0631 -0.0875 0.169 +#> sigma 3.126 0.3585 2.3961 3.855</div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/print'>print</a></span>(<span class='no'>fit.ff.s</span>$<span class='no'>bpar</span>, <span class='fl'>3</span>)</div><div class='output co'>#> Estimate se_notrans t value Pr(>t) Lower Upper +#> parent_0 99.59848 1.57022 63.43 2.30e-36 96.40384 102.7931 +#> k_parent 0.09870 0.00403 24.47 4.96e-23 0.09082 0.1073 +#> k_m1 0.00526 0.00070 7.51 6.16e-09 0.00401 0.0069 +#> f_parent_to_m1 0.51448 0.02230 23.07 3.10e-22 0.46912 0.5596 +#> sigma 3.12550 0.35852 8.72 2.24e-10 2.39609 3.8549</div><div class='input'><span class='no'>initials</span> <span class='kw'><-</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='st'>"f_parent_to_m1"</span> <span class='kw'>=</span> <span class='fl'>0.5</span>) <span class='no'>transformed</span> <span class='kw'><-</span> <span class='fu'>transform_odeparms</span>(<span class='no'>initials</span>, <span class='no'>SFO_SFO.ff</span>) <span class='fu'>backtransform_odeparms</span>(<span class='no'>transformed</span>, <span class='no'>SFO_SFO.ff</span>)</div><div class='output co'>#> f_parent_to_m1 #> 0.5 </div><div class='input'> @@ -258,15 +261,16 @@ The transformation of sets of formation fractions is fragile, as it supposes <span class='kw'>m1</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/list'>list</a></span>(<span class='kw'>type</span> <span class='kw'>=</span> <span class='st'>"SFO"</span>), <span class='kw'>use_of_ff</span> <span class='kw'>=</span> <span class='st'>"max"</span>)</div><div class='output co'>#> <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'> -<span class='no'>fit.ff.2</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>SFO_SFO.ff.2</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) -<span class='no'>fit.ff.2.s</span> <span class='kw'><-</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>fit.ff.2</span>) +<span class='no'>fit.ff.2</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>SFO_SFO.ff.2</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'><span class='no'>fit.ff.2.s</span> <span class='kw'><-</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>fit.ff.2</span>) <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/print'>print</a></span>(<span class='no'>fit.ff.2.s</span>$<span class='no'>par</span>, <span class='fl'>3</span>)</div><div class='output co'>#> Estimate Std. Error Lower Upper -#> parent_0 84.79 2.9651 78.78 90.80 -#> log_k_parent -2.76 0.0809 -2.92 -2.59 -#> log_k_m1 -4.21 0.1115 -4.44 -3.99</div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/print'>print</a></span>(<span class='no'>fit.ff.2.s</span>$<span class='no'>bpar</span>, <span class='fl'>3</span>)</div><div class='output co'>#> Estimate se_notrans t value Pr(>t) Lower Upper -#> parent_0 84.7916 2.96505 28.60 3.94e-27 78.7838 90.7994 -#> k_parent 0.0635 0.00514 12.36 5.24e-15 0.0539 0.0748 -#> k_m1 0.0148 0.00165 8.97 4.11e-11 0.0118 0.0185</div></pre> +#> parent_0 84.79 3.012 78.67 90.91 +#> log_k_parent -2.76 0.082 -2.92 -2.59 +#> log_k_m1 -4.21 0.123 -4.46 -3.96 +#> sigma 8.22 0.943 6.31 10.14</div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/print'>print</a></span>(<span class='no'>fit.ff.2.s</span>$<span class='no'>bpar</span>, <span class='fl'>3</span>)</div><div class='output co'>#> Estimate se_notrans t value Pr(>t) Lower Upper +#> parent_0 84.7916 3.01203 28.15 1.92e-25 78.6704 90.913 +#> k_parent 0.0635 0.00521 12.19 2.91e-14 0.0538 0.075 +#> k_m1 0.0148 0.00182 8.13 8.81e-10 0.0115 0.019 +#> sigma 8.2229 0.94323 8.72 1.73e-10 6.3060 10.140</div></pre> </div> <div class="col-md-3 hidden-xs hidden-sm" id="sidebar"> <h2>Contents</h2> diff --git a/inst/benchmark_data/mkin_benchmarks.rda b/inst/benchmark_data/mkin_benchmarks.rda Binary files differnew file mode 100644 index 00000000..c02d745a --- /dev/null +++ b/inst/benchmark_data/mkin_benchmarks.rda diff --git a/man/IORE.solution.Rd b/man/IORE.solution.Rd index 13c81302..65760f95 100644 --- a/man/IORE.solution.Rd +++ b/man/IORE.solution.Rd @@ -29,15 +29,16 @@ Media
}
\examples{
- plot(function(x) IORE.solution(x, 100, 0.2, 1.3), 0, 2,
- ylim = c(0, 100))
- fit.fomc <- mkinfit("FOMC", FOCUS_2006_C, quiet = TRUE)
- fit.iore <- mkinfit("IORE", FOCUS_2006_C, quiet = TRUE)
- fit.iore.deS <- mkinfit("IORE", FOCUS_2006_C, solution_type = "deSolve", quiet = TRUE)
+ plot(function(x) IORE.solution(x, 100, 0.2, 1.3), 0, 2, ylim = c(0, 100))
+ \dontrun{
+ fit.fomc <- mkinfit("FOMC", FOCUS_2006_C, quiet = TRUE)
+ fit.iore <- mkinfit("IORE", FOCUS_2006_C, quiet = TRUE)
+ fit.iore.deS <- mkinfit("IORE", FOCUS_2006_C, solution_type = "deSolve", quiet = TRUE)
- print(data.frame(coef(fit.fomc), coef(fit.iore), coef(fit.iore.deS),
- row.names = paste("model par", 1:3)))
- print(rbind(fomc = endpoints(fit.fomc)$distimes, iore = endpoints(fit.iore)$distimes,
- iore.deS = endpoints(fit.iore)$distimes))
+ print(data.frame(fit.fomc$par, fit.iore$par, fit.iore.deS$par,
+ row.names = paste("model par", 1:4)))
+ print(rbind(fomc = endpoints(fit.fomc)$distimes, iore = endpoints(fit.iore)$distimes,
+ iore.deS = endpoints(fit.iore)$distimes))
+ }
}
\keyword{ manip }
diff --git a/man/add_err.Rd b/man/add_err.Rd index e098d95c..506c6fdc 100644 --- a/man/add_err.Rd +++ b/man/add_err.Rd @@ -78,14 +78,12 @@ d_SFO_SFO_err <- add_err(d_SFO_SFO, function(x) 10, n = 3, seed = 123456789 ) # Name the datasets for nicer plotting names(d_SFO_SFO_err) <- paste("Dataset", 1:3) -# Name the model in the list of models (with only one member in this case) -# for nicer plotting later on. -# Be quiet and use the faster Levenberg-Marquardt algorithm, as the datasets -# are easy and examples are run often. Use only one core not to offend CRAN +# Name the model in the list of models (with only one member in this case) for +# nicer plotting later on. Be quiet and use only one core not to offend CRAN # checks f_SFO_SFO <- mmkin(list("SFO-SFO" = m_SFO_SFO), d_SFO_SFO_err, cores = 1, - quiet = TRUE, method.modFit = "Marq") + quiet = TRUE) plot(f_SFO_SFO) diff --git a/man/logLik.mkinfit.Rd b/man/logLik.mkinfit.Rd index 736ccd1e..5e910c2e 100644 --- a/man/logLik.mkinfit.Rd +++ b/man/logLik.mkinfit.Rd @@ -5,27 +5,13 @@ } \description{ This function simply calculates the product of the likelihood densities - calculated using \code{\link{dnorm}}, i.e. assuming normal distribution. + calculated using \code{\link{dnorm}}, i.e. assuming normal distribution, + with of the mean predicted by the degradation model, and the + standard deviation predicted by the error model. The total number of estimated parameters returned with the value of the likelihood is calculated as the sum of fitted degradation model parameters and the fitted error model parameters. - - For the case of unweighted least squares fitting, we calculate one - constant standard deviation from the residuals using \code{\link{sd}} - and add one to the number of fitted degradation model parameters. - - For the case of manual weighting, we use the weight given for each - observation as standard deviation in calculating its likelihood - and the total number of estimated parameters is equal to the - number of fitted degradation model parameters. - - In the case of iterative reweighting, the variances obtained by this - procedure are used in the likelihood calculations, and the number of - estimated parameters is obtained by the number of degradation model - parameters plus the number of variance model parameters, i.e. the number of - observed variables if the reweighting method is "obs", and two if the - reweighting method is "tc". } \usage{ \method{logLik}{mkinfit}(object, ...) @@ -54,13 +40,10 @@ m1 = mkinsub("SFO") ) d_t <- FOCUS_2006_D - d_t[23:24, "value"] <- c(NA, NA) # can't cope with zero values at the moment f_nw <- mkinfit(sfo_sfo, d_t, quiet = TRUE) # no weighting (weights are unity) - f_obs <- mkinfit(sfo_sfo, d_t, reweight.method = "obs", quiet = TRUE) - f_tc <- mkinfit(sfo_sfo, d_t, reweight.method = "tc", quiet = TRUE) - d_t$err <- d_t$value # Manual weighting assuming sigma ~ y - f_man <- mkinfit(sfo_sfo, d_t, err = "err", quiet = TRUE) - AIC(f_nw, f_obs, f_tc, f_man) + f_obs <- mkinfit(sfo_sfo, d_t, error_model = "obs", quiet = TRUE) + f_tc <- mkinfit(sfo_sfo, d_t, error_model = "tc", quiet = TRUE) + AIC(f_nw, f_obs, f_tc) } } \author{ diff --git a/man/mccall81_245T.Rd b/man/mccall81_245T.Rd index 22368d6d..00a05781 100644 --- a/man/mccall81_245T.Rd +++ b/man/mccall81_245T.Rd @@ -13,10 +13,10 @@ \format{
A dataframe containing the following variables.
\describe{
- \item{\code{name}}{the name of the compound observed. Note that T245 is used as
+ \item{\code{name}}{the name of the compound observed. Note that T245 is used as
an acronym for 2,4,5-T. T245 is a legitimate object name
in R, which is necessary for specifying models using
- \code{\link{mkinmod}}.}
+ \code{\link{mkinmod}}.}
\item{\code{time}}{a numeric vector containing sampling times in days after
treatment}
\item{\code{value}}{a numeric vector containing concentrations in percent of applied radioactivity}
@@ -35,13 +35,13 @@ fit.1 <- mkinfit(SFO_SFO_SFO, subset(mccall81_245T, soil == "Commerce"), quiet = TRUE)
summary(fit.1)$bpar
endpoints(fit.1)
- # No convergence, no covariance matrix ...
# k_phenol_sink is really small, therefore fix it to zero
fit.2 <- mkinfit(SFO_SFO_SFO, subset(mccall81_245T, soil == "Commerce"),
parms.ini = c(k_phenol_sink = 0),
fixed_parms = "k_phenol_sink", quiet = TRUE)
summary(fit.2)$bpar
endpoints(fit.1)
+ plot_sep(fit.2)
}
}
\keyword{datasets}
diff --git a/man/mkin_long_to_wide.Rd b/man/mkin_long_to_wide.Rd index 5dd335de..c83f7c78 100644 --- a/man/mkin_long_to_wide.Rd +++ b/man/mkin_long_to_wide.Rd @@ -7,9 +7,9 @@ mkin_long_to_wide(long_data, time = "time", outtime = "time") } \description{ - This function takes a dataframe in the long form as required by \code{\link{modCost}} - and converts it into a dataframe with one independent variable and several - dependent variables as columns. + This function takes a dataframe in the long form, i.e. with a row + for each observed value, and converts it into a dataframe with one + independent variable and several dependent variables as columns. } \arguments{ \item{long_data}{ diff --git a/man/mkin_wide_to_long.Rd b/man/mkin_wide_to_long.Rd index b531c41c..dc523755 100644 --- a/man/mkin_wide_to_long.Rd +++ b/man/mkin_wide_to_long.Rd @@ -8,7 +8,7 @@ mkin_wide_to_long(wide_data, time = "t") } \description{ This function simply takes a dataframe with one independent variable and several - dependent variable and converts it into the long form as required by \code{\link{modCost}}. + dependent variable and converts it into the long form as required by \code{\link{mkinfit}}. } \arguments{ \item{wide_data}{ @@ -20,7 +20,7 @@ mkin_wide_to_long(wide_data, time = "t") } } \value{ - Dataframe in long format as needed for \code{\link{modCost}}. + Dataframe in long format as needed for \code{\link{mkinfit}}. } \author{ Johannes Ranke diff --git a/man/mkinfit.Rd b/man/mkinfit.Rd index 59bb5e5f..d9efe05f 100644 --- a/man/mkinfit.Rd +++ b/man/mkinfit.Rd @@ -4,17 +4,16 @@ Fit a kinetic model to data with one or more state variables } \description{ - This function uses the Flexible Modelling Environment package - \code{\link{FME}} to create a function calculating the model cost, i.e. the - deviation between the kinetic model and the observed data. This model cost is - then minimised using the Port algorithm \code{\link{nlminb}}, - using the specified initial or fixed parameters and starting values. - Per default, parameters in the kinetic models are internally transformed in order - to better satisfy the assumption of a normal distribution of their estimators. - In each step of the optimsation, the kinetic model is solved using the - function \code{\link{mkinpredict}}. The variance of the residuals for each - observed variable can optionally be iteratively reweighted until convergence - using the argument \code{reweight.method = "obs"}. + This function maximises the likelihood of the observed data using + the Port algorithm \code{\link{nlminb}}, and the specified initial or fixed + parameters and starting values. In each step of the optimsation, the kinetic + model is solved using the function \code{\link{mkinpredict}}. The parameters + of the selected error model are fitted simultaneously with the degradation + model parameters, as both of them are arguments of the likelihood function. + + Per default, parameters in the kinetic models are internally transformed in + order to better satisfy the assumption of a normal distribution of their + estimators. } \usage{ mkinfit(mkinmod, observed, @@ -25,36 +24,31 @@ mkinfit(mkinmod, observed, solution_type = c("auto", "analytical", "eigen", "deSolve"), method.ode = "lsoda", use_compiled = "auto", - method.modFit = c("Port", "Marq", "SANN", "Nelder-Mead", "BFGS", "CG", "L-BFGS-B"), - maxit.modFit = "auto", - control.modFit = list(), + control = list(eval.max = 300, iter.max = 200), transform_rates = TRUE, transform_fractions = TRUE, - plot = FALSE, quiet = FALSE, err = NULL, - weight = c("none", "manual", "std", "mean", "tc"), - tc = c(sigma_low = 0.5, rsd_high = 0.07), - scaleVar = FALSE, + quiet = FALSE, atol = 1e-8, rtol = 1e-10, n.outtimes = 100, - error_model = c("auto", "obs", "tc", "const"), + error_model = c("const", "obs", "tc"), trace_parms = FALSE, ...) } \arguments{ \item{mkinmod}{ A list of class \code{\link{mkinmod}}, containing the kinetic model to be fitted to the data, or one of the shorthand names ("SFO", "FOMC", "DFOP", - "HS", "SFORB"). If a shorthand name is given, a parent only degradation + "HS", "SFORB", "IORE"). If a shorthand name is given, a parent only degradation model is generated for the variable with the highest value in \code{observed}. } \item{observed}{ - The observed data. It has to be in the long format as described in - \code{\link{modFit}}, i.e. the first column called "name" must contain the - name of the observed variable for each data point. The second column must - contain the times of observation, named "time". The third column must be - named "value" and contain the observed values. Optionally, a further column - can contain weights for each data point. Its name must be passed as a - further argument named \code{err} which is then passed on to - \code{\link{modFit}}. + A dataframe with the observed data. The first column called "name" must + contain the name of the observed variable for each data point. The second + column must contain the times of observation, named "time". The third + column must be named "value" and contain the observed values. Zero values + in the "value" column will be removed, with a warning, in order to + avoid problems with fitting the two-component error model. This is not + expected to be a problem, because in general, values of zero are not + observed in degradation data, because there is a lower limit of detection. } \item{parms.ini}{ A named vector of initial values for the parameters, including parameters @@ -102,10 +96,10 @@ mkinfit(mkinmod, observed, solution of the model is used. This is only implemented for simple degradation experiments with only one state variable, i.e. with no metabolites. The default is "auto", which uses "analytical" if possible, - otherwise "eigen" if the model can be expressed using eigenvalues and - eigenvectors, and finally "deSolve" for the remaining models (time - dependence of degradation rates and metabolites). This argument is passed - on to the helper function \code{\link{mkinpredict}}. + otherwise "deSolve" if a compiler is present, and "eigen" if no + compiler is present and the model can be expressed using eigenvalues and + eigenvectors. This argument is passed on to the helper function + \code{\link{mkinpredict}}. } \item{method.ode}{ The solution method passed via \code{\link{mkinpredict}} to @@ -114,37 +108,11 @@ mkinfit(mkinmod, observed, } \item{use_compiled}{ If set to \code{FALSE}, no compiled version of the \code{\link{mkinmod}} - model is used, in the calls to \code{\link{mkinpredict}} even if - a compiled verion is present. - } - \item{method.modFit}{ - The optimisation method passed to \code{\link{modFit}}. - - In order to optimally deal with problems where local minima occur, the - "Port" algorithm is now used per default as it is less prone to get trapped - in local minima and depends less on starting values for parameters than - the Levenberg Marquardt variant selected by "Marq". However, "Port" needs - more iterations. - - The former default "Marq" is the Levenberg Marquardt algorithm - \code{\link{nls.lm}} from the package \code{minpack.lm} and usually needs - the least number of iterations. - - The "Pseudo" algorithm is not included because it needs finite parameter bounds - which are currently not supported. - - The "Newton" algorithm is not included because its number of iterations - can not be controlled by \code{control.modFit} and it does not appear - to provide advantages over the other algorithms. + model is used in the calls to \code{\link{mkinpredict}} even if a compiled + version is present. } - \item{maxit.modFit}{ - Maximum number of iterations in the optimisation. If not "auto", this will - be passed to the method called by \code{\link{modFit}}, overriding - what may be specified in the next argument \code{control.modFit}. - } - \item{control.modFit}{ - Additional arguments passed to the optimisation method used by - \code{\link{modFit}}. + \item{control}{ + A list of control arguments passed to \code{\link{nlminb}}. } \item{transform_rates}{ Boolean specifying if kinetic rate constants should be transformed in the @@ -152,8 +120,8 @@ mkinfit(mkinmod, observed, assumption of normal distribution of the estimator. If TRUE, also alpha and beta parameters of the FOMC model are log-transformed, as well as k1 and k2 rate constants for the DFOP and HS models and the break point - tb of the HS model. - If FALSE, zero is used as a lower bound for the rates in the optimisation. + tb of the HS model. If FALSE, zero is used as a lower bound for the rates + in the optimisation. } \item{transform_fractions}{ Boolean specifying if formation fractions constants should be transformed in the @@ -164,28 +132,9 @@ mkinfit(mkinmod, observed, data. The transformation used for these transformations is the \code{\link{ilr}} transformation. } - \item{plot}{ - Should the observed values and the numerical solutions be plotted at each - stage of the optimisation? - } \item{quiet}{ - Suppress printing out the current model cost after each improvement? - } - \item{err }{either \code{NULL}, or the name of the column with the - \emph{error} estimates, used to weigh the residuals (see details of - \code{\link{modCost}}); if \code{NULL}, then the residuals are not weighed. - } - \item{weight}{ - only if \code{err}=\code{NULL}: how to weight the residuals, one of "none", - "std", "mean", see details of \code{\link{modCost}}, or "tc" for the - two component error model. The option "manual" is available for - the case that \code{err}!=\code{NULL}, but it is not necessary to specify it. - } - \item{tc}{The two components of the error model as used for (initial) - weighting}. - \item{scaleVar}{ - Will be passed to \code{\link{modCost}}. Default is not to scale Variables - according to the number of observations. + Suppress printing out the current value of the negative log-likelihood + after each improvement? } \item{atol}{ Absolute error tolerance, passed to \code{\link{ode}}. Default is 1e-8, @@ -202,36 +151,32 @@ mkinfit(mkinmod, observed, The default value is 100. } \item{error_model}{ - If the error model is "auto", the generalised error model described by Ranke - et al. (2019) is used for specifying the likelihood function. Simplications - of this error model are tested as well and the model yielding the lowest - AIC is returned. + If the error model is "const", a constant standard deviation + is assumed. If the error model is "obs", each observed variable is assumed to have its - own variance. + own variance. - If the error model is "tc" (two-component error model). - When using this method, a two component error model similar to the - one described by Rocke and Lorenzato (1995) is used for setting up - the likelihood function, as described in the abovementioned paper. - Note that this model deviates from the model by Rocke and Lorenzato, as - their model implies that the errors follow a lognormal distribution for - large values, not a normal distribution as assumed by this method. + If the error model is "tc" (two-component error model), a two component + error model similar to the one described by Rocke and Lorenzato (1995) is + used for setting up the likelihood function. Note that this model deviates + from the model by Rocke and Lorenzato, as their model implies that the + errors follow a lognormal distribution for large values, not a normal + distribution as assumed by this method. } \item{trace_parms}{ Should a trace of the parameter values be listed? } \item{\dots}{ - Further arguments that will be passed to \code{\link{modFit}}. + Further arguments that will be passed on to \code{\link{deSolve}}. } } \value{ - A list with "mkinfit" and "modFit" in the class attribute. - A summary can be obtained by \code{\link{summary.mkinfit}}. + A list with "mkinfit" in the class attribute. A summary can be obtained by + \code{\link{summary.mkinfit}}. } \seealso{ - Plotting methods \code{\link{plot.mkinfit}} and - \code{\link{mkinparplot}}. + Plotting methods \code{\link{plot.mkinfit}} and \code{\link{mkinparplot}}. Comparisons of models fitted to the same data can be made using \code{\link{AIC}} by virtue of the method \code{\link{logLik.mkinfit}}. @@ -240,12 +185,6 @@ mkinfit(mkinmod, observed, \code{\link{mmkin}}. } \note{ - The implementation of iteratively reweighted least squares is inspired by the - work of the KinGUII team at Bayer Crop Science (Walter Schmitt and Zhenglei - Gao). A similar implemention can also be found in CAKE 2.0, which is the - other GUI derivative of mkin, sponsored by Syngenta. -} -\note{ When using the "IORE" submodel for metabolites, fitting with "transform_rates = TRUE" (the default) often leads to failures of the numerical ODE solver. In this situation it may help to switch off the @@ -312,25 +251,11 @@ SFO_SFO.ff <- mkinmod(parent = mkinsub("SFO", "m1"), m1 = mkinsub("SFO"), use_of_ff = "max") f.noweight <- mkinfit(SFO_SFO.ff, FOCUS_2006_D, quiet = TRUE) summary(f.noweight) -f.irls <- mkinfit(SFO_SFO.ff, FOCUS_2006_D, reweight.method = "obs", quiet = TRUE) -summary(f.irls) -f.w.mean <- mkinfit(SFO_SFO.ff, FOCUS_2006_D, weight = "mean", quiet = TRUE) -summary(f.w.mean) -f.w.value <- mkinfit(SFO_SFO.ff, subset(FOCUS_2006_D, value != 0), err = "value", - quiet = TRUE) -summary(f.w.value) +f.obs <- mkinfit(SFO_SFO.ff, FOCUS_2006_D, error_model = "obs", quiet = TRUE) +summary(f.obs) +f.tc <- mkinfit(SFO_SFO.ff, FOCUS_2006_D, error_model = "tc", quiet = TRUE) +summary(f.tc) } -\dontrun{ -# Manual weighting -dw <- FOCUS_2006_D -errors <- c(parent = 2, m1 = 1) -dw$err.man <- errors[FOCUS_2006_D$name] -f.w.man <- mkinfit(SFO_SFO.ff, dw, err = "err.man", quiet = TRUE) -summary(f.w.man) -f.w.man.irls <- mkinfit(SFO_SFO.ff, dw, err = "err.man", quiet = TRUE, - reweight.method = "obs") -summary(f.w.man.irls) -} } \keyword{ optimize } diff --git a/man/plot.mkinfit.Rd b/man/plot.mkinfit.Rd index 42f2559c..733cdf76 100644 --- a/man/plot.mkinfit.Rd +++ b/man/plot.mkinfit.Rd @@ -106,10 +106,10 @@ plot_sep(fit, sep_obs = TRUE, show_residuals = TRUE, show_errmin = TRUE, \dots) } \examples{ # One parent compound, one metabolite, both single first order, path from -# parent to sink included, use Levenberg-Marquardt for speed +# parent to sink included SFO_SFO <- mkinmod(parent = mkinsub("SFO", "m1", full = "Parent"), m1 = mkinsub("SFO", full = "Metabolite M1" )) -fit <- mkinfit(SFO_SFO, FOCUS_2006_D, quiet = TRUE, method.modFit = "Marq") +fit <- mkinfit(SFO_SFO, FOCUS_2006_D, quiet = TRUE) plot(fit) plot(fit, show_residuals = TRUE) diff --git a/man/plot.mmkin.Rd b/man/plot.mmkin.Rd index 23f35c4b..b3312292 100644 --- a/man/plot.mmkin.Rd +++ b/man/plot.mmkin.Rd @@ -48,10 +48,10 @@ Johannes Ranke } \examples{ - # Only use one core not to offend CRAN checks, use Levenberg-Marquardt for speed - fits <- mmkin(c("FOMC", "HS"), + # Only use one core not to offend CRAN checks + fits <- mmkin(c("FOMC", "HS"), list("FOCUS B" = FOCUS_2006_B, "FOCUS C" = FOCUS_2006_C), # named list for titles - cores = 1, quiet = TRUE, method.modFit = "Marq") + cores = 1, quiet = TRUE) plot(fits[, "FOCUS C"]) plot(fits["FOMC", ]) diff --git a/man/summary.mkinfit.Rd b/man/summary.mkinfit.Rd index 3d71917e..cbc9098c 100644 --- a/man/summary.mkinfit.Rd +++ b/man/summary.mkinfit.Rd @@ -5,10 +5,10 @@ Summary method for class "mkinfit"
}
\description{
- Lists model equations, the summary as returned by \code{\link{summary.modFit}},
- the chi2 error levels calculated according to FOCUS guidance (2006) as far
- as defined therein, and optionally the data, consisting of observed, predicted
- and residual values.
+ Lists model equations, initial parameter values, optimised parameters with some
+ uncertainty statistics, the chi2 error levels calculated according to FOCUS
+ guidance (2006) as defined therein, formation fractions, DT50 values and
+ optionally the data, consisting of observed, predicted and residual values.
}
\usage{
\method{summary}{mkinfit}(object, data = TRUE, distimes = TRUE, alpha = 0.05, ...)
@@ -39,8 +39,7 @@ }
}
\value{
- The summary function returns a list derived from
- \code{\link{summary.modFit}}, with components, among others
+ The summary function returns a list with components, among others
\item{version, Rversion}{The mkin and R versions used}
\item{date.fit, date.summary}{The dates where the fit and the summary were produced}
\item{use_of_ff}{Was maximum or minimum use made of formation fractions}
@@ -54,6 +53,7 @@ \item{errmin }{The chi2 error levels for each observed variable.}
\item{bparms.ode }{All backtransformed ODE parameters, for use as starting parameters for
related models.}
+ \item{errparms }{Error model parameters. }
\item{ff }{The estimated formation fractions derived from the fitted model.}
\item{distimes }{The DT50 and DT90 values for each observed variable.}
\item{SFORB}{If applicable, eigenvalues of SFORB components of the model.}
@@ -2,40 +2,45 @@ Loading mkin Testing mkin ✔ | OK F W S | Context
⠏ | 0 | Export dataset for reading into CAKE
⠋ | 1 | Export dataset for reading into CAKE
✔ | 1 | Export dataset for reading into CAKE -
⠏ | 0 | Calculation of FOCUS chi2 error levels
⠋ | 1 | Calculation of FOCUS chi2 error levels
⠙ | 2 | Calculation of FOCUS chi2 error levels
✔ | 2 | Calculation of FOCUS chi2 error levels [2.4 s] -
⠏ | 0 | Results for FOCUS D established in expertise for UBA (Ranke 2014)
⠋ | 1 | Results for FOCUS D established in expertise for UBA (Ranke 2014)
⠙ | 2 | Results for FOCUS D established in expertise for UBA (Ranke 2014)
⠹ | 3 | Results for FOCUS D established in expertise for UBA (Ranke 2014)
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⠴ | 6 | Results for FOCUS D established in expertise for UBA (Ranke 2014)
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⠏ | 10 | Results for FOCUS D established in expertise for UBA (Ranke 2014)
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⠹ | 13 | Results for FOCUS D established in expertise for UBA (Ranke 2014)
✔ | 13 | Results for FOCUS D established in expertise for UBA (Ranke 2014) [8.0 s] -
⠏ | 0 | Test fitting the decline of metabolites from their maximum
⠋ | 1 | Test fitting the decline of metabolites from their maximum
⠙ | 2 | Test fitting the decline of metabolites from their maximum
⠹ | 3 | Test fitting the decline of metabolites from their maximum
✔ | 3 | Test fitting the decline of metabolites from their maximum [0.6 s] -
⠏ | 0 | Iteratively reweighted least squares (IRLS) fitting
⠋ | 1 | Iteratively reweighted least squares (IRLS) fitting
⠙ | 2 | Iteratively reweighted least squares (IRLS) fitting
⠹ | 2 1 | Iteratively reweighted least squares (IRLS) fitting
✔ | 2 1 | Iteratively reweighted least squares (IRLS) fitting [16.0 s] +
⠏ | 0 | Error model fitting
⠋ | 1 | Error model fitting
⠙ | 2 | Error model fitting
⠹ | 3 | Error model fitting
⠸ | 4 | Error model fitting
⠼ | 5 | Error model fitting
⠴ | 6 | Error model fitting
⠦ | 7 | Error model fitting
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⠏ | 9 1 | Error model fitting
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⠙ | 10 2 | Error model fitting
⠙ | 10 2 | Error model fitting
⠙ | 10 2 | Error model fitting
⠙ | 10 2 | Error model fitting
⠙ | 10 2 | Error model fitting
⠙ | 10 2 | Error model fitting
⠙ | 10 2 | Error model fitting
⠙ | 10 2 | Error model fitting
⠙ | 10 2 | Error model fitting
⠙ | 10 2 | Error model fitting
⠙ | 10 2 | Error model fitting
⠙ | 10 2 | Error model fitting
⠙ | 10 2 ⠙ | 10 | Error model fitting2 | Error model fitting
⠙ | 11 1 | Error model fitting
⠹ | 12 1 | Error model fitting
✔ | 12 1 | Error model fitting [163.7 s] ──────────────────────────────────────────────────────────────────────────────── -test_irls.R:48: skip: Reweighting method 'tc' works -Too much trouble with datasets that are randomly generated +test_error_models.R:148: warning: Reweighting method 'tc' produces reasonable variance estimates +Observations with value of zero were removed from the data ──────────────────────────────────────────────────────────────────────────────── -
⠏ | 0 | Fitting the logistic model
⠋ | 1 | Fitting the logistic model
⠙ | 1 1 | Fitting the logistic model
✔ | 1 1 | Fitting the logistic model [0.5 s] +
⠏ | 0 | Calculation of FOCUS chi2 error levels
⠋ | 1 | Calculation of FOCUS chi2 error levels
⠙ | 2 | Calculation of FOCUS chi2 error levels
⠹ | 3 | Calculation of FOCUS chi2 error levels
✔ | 3 | Calculation of FOCUS chi2 error levels [2.4 s] +
⠏ | 0 | Results for FOCUS D established in expertise for UBA (Ranke 2014)
⠋ | 1 | Results for FOCUS D established in expertise for UBA (Ranke 2014)
⠙ | 2 | Results for FOCUS D established in expertise for UBA (Ranke 2014)
⠹ | 3 | Results for FOCUS D established in expertise for UBA (Ranke 2014)
⠸ | 4 | Results for FOCUS D established in expertise for UBA (Ranke 2014)
⠼ | 5 | Results for FOCUS D established in expertise for UBA (Ranke 2014)
⠴ | 6 | Results for FOCUS D established in expertise for UBA (Ranke 2014)
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⠏ | 10 | Results for FOCUS D established in expertise for UBA (Ranke 2014)
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⠹ | 13 | Results for FOCUS D established in expertise for UBA (Ranke 2014)
⠸ | 13 1 | Results for FOCUS D established in expertise for UBA (Ranke 2014)
✔ | 13 1 | Results for FOCUS D established in expertise for UBA (Ranke 2014) [8.3 s] +──────────────────────────────────────────────────────────────────────────────── +test_FOCUS_D_UBA_expertise.R:89: skip: The t-value for fits using internal transformations corresponds with results from FME, synthetic data +Hessian matrices and df calculations differ from those in FME +──────────────────────────────────────────────────────────────────────────────── +
⠏ | 0 | Test fitting the decline of metabolites from their maximum
⠋ | 1 | Test fitting the decline of metabolites from their maximum
⠙ | 2 | Test fitting the decline of metabolites from their maximum
⠹ | 3 | Test fitting the decline of metabolites from their maximum
⠸ | 4 | Test fitting the decline of metabolites from their maximum
⠼ | 5 | Test fitting the decline of metabolites from their maximum
⠴ | 6 | Test fitting the decline of metabolites from their maximum
✔ | 6 | Test fitting the decline of metabolites from their maximum [0.9 s] +
⠏ | 0 | Fitting the logistic model
⠋ | 1 | Fitting the logistic model
⠙ | 1 1 | Fitting the logistic model
✔ | 1 1 | Fitting the logistic model [0.9 s] ──────────────────────────────────────────────────────────────────────────────── test_logistic.R:41: skip: The logistic fit can be done via differential equation Skip slow fit of logistic model using deSolve without compilation ────────────────────────────────────────────────────────────────────────────────
⠏ | 0 | Test dataset class mkinds used in gmkin
⠋ | 1 | Test dataset class mkinds used in gmkin
✔ | 1 | Test dataset class mkinds used in gmkin -
⠏ | 0 | Special cases of mkinfit calls
⠋ | 1 | Special cases of mkinfit calls
⠙ | 2 | Special cases of mkinfit calls
⠹ | 3 | Special cases of mkinfit calls
⠸ | 4 | Special cases of mkinfit calls
⠼ | 5 | Special cases of mkinfit calls
⠴ | 6 | Special cases of mkinfit calls
⠦ | 7 | Special cases of mkinfit calls
⠧ | 8 | Special cases of mkinfit calls
⠇ | 9 | Special cases of mkinfit calls
⠏ | 10 | Special cases of mkinfit calls
⠋ | 11 | Special cases of mkinfit calls
⠙ | 12 | Special cases of mkinfit calls
⠹ | 12 1 | Special cases of mkinfit calls
⠸ | 13 1 | Special cases of mkinfit calls
⠼ | 14 1 | Special cases of mkinfit calls
⠴ | 15 1 | Special cases of mkinfit calls
⠦ | 16 1 | Special cases of mkinfit calls
✔ | 16 1 | Special cases of mkinfit calls [2.9 s] +
⠏ | 0 | Special cases of mkinfit calls
⠋ | 1 | Special cases of mkinfit calls
⠙ | 2 | Special cases of mkinfit calls
⠹ | 3 | Special cases of mkinfit calls
⠸ | 4 | Special cases of mkinfit calls
⠼ | 5 | Special cases of mkinfit calls
⠴ | 6 | Special cases of mkinfit calls
⠦ | 7 | Special cases of mkinfit calls
⠧ | 8 | Special cases of mkinfit calls
⠇ | 8 1 | Special cases of mkinfit calls
⠏ | 9 1 | Special cases of mkinfit calls
⠋ | 10 1 | Special cases of mkinfit calls
⠙ | 11 1 | Special cases of mkinfit calls
⠹ | 12 1 | Special cases of mkinfit calls
✔ | 12 1 | Special cases of mkinfit calls [3.2 s] ──────────────────────────────────────────────────────────────────────────────── -test_mkinfit_errors.R:67: skip: mkinfit warns if the user chooses the SANN method -The SANN algorithm takes very long with the default maximum number of iterations of 10000 +test_mkinfit_errors.R:59: warning: mkinfit stops early when a low maximum number of iterations is specified +Optimisation did not converge: +iteration limit reached without convergence (10) ────────────────────────────────────────────────────────────────────────────────
⠏ | 0 | mkinmod model generation and printing
⠋ | 1 | mkinmod model generation and printing
⠙ | 2 | mkinmod model generation and printing
⠹ | 3 | mkinmod model generation and printing
⠸ | 4 | mkinmod model generation and printing
⠼ | 5 | mkinmod model generation and printing
⠴ | 6 | mkinmod model generation and printing
⠦ | 7 | mkinmod model generation and printing
⠧ | 8 | mkinmod model generation and printing
⠇ | 9 | mkinmod model generation and printing
✔ | 9 | mkinmod model generation and printing [0.2 s]
⠏ | 0 | Model predictions with mkinpredict
⠋ | 1 | Model predictions with mkinpredict
⠙ | 2 | Model predictions with mkinpredict
⠹ | 3 | Model predictions with mkinpredict
✔ | 3 | Model predictions with mkinpredict [0.3 s] -
⠏ | 0 | Evaluations according to 2015 NAFTA guidance
⠋ | 1 | Evaluations according to 2015 NAFTA guidance
⠙ | 2 | Evaluations according to 2015 NAFTA guidance
⠹ | 3 | Evaluations according to 2015 NAFTA guidance
⠸ | 4 | Evaluations according to 2015 NAFTA guidance
⠼ | 5 | Evaluations according to 2015 NAFTA guidance
⠴ | 6 | Evaluations according to 2015 NAFTA guidance
⠦ | 7 | Evaluations according to 2015 NAFTA guidance
⠧ | 8 | Evaluations according to 2015 NAFTA guidance
⠇ | 9 | Evaluations according to 2015 NAFTA guidance
⠏ | 10 | Evaluations according to 2015 NAFTA guidance
⠋ | 11 | Evaluations according to 2015 NAFTA guidance
⠙ | 12 | Evaluations according to 2015 NAFTA guidance
⠹ | 13 | Evaluations according to 2015 NAFTA guidance
⠸ | 14 | Evaluations according to 2015 NAFTA guidance
⠼ | 15 | Evaluations according to 2015 NAFTA guidance
⠴ | 16 | Evaluations according to 2015 NAFTA guidance
⠦ | 17 | Evaluations according to 2015 NAFTA guidance
✔ | 17 | Evaluations according to 2015 NAFTA guidance [2.2 s] -
⠏ | 0 | Fitting of parent only models
⠋ | 1 | Fitting of parent only models
⠙ | 2 | Fitting of parent only models
⠹ | 3 | Fitting of parent only models
⠸ | 4 | Fitting of parent only models
⠼ | 5 | Fitting of parent only models
⠴ | 6 | Fitting of parent only models
⠦ | 7 | Fitting of parent only models
⠧ | 8 | Fitting of parent only models
⠇ | 9 | Fitting of parent only models
⠏ | 10 | Fitting of parent only models
⠋ | 11 | Fitting of parent only models
⠙ | 12 | Fitting of parent only models
⠹ | 13 | Fitting of parent only models
⠸ | 14 | Fitting of parent only models
⠼ | 15 | Fitting of parent only models
⠴ | 16 | Fitting of parent only models
⠦ | 17 | Fitting of parent only models
⠧ | 18 | Fitting of parent only models
⠇ | 19 | Fitting of parent only models
⠏ | 20 | Fitting of parent only models
⠋ | 21 | Fitting of parent only models
✔ | 21 | Fitting of parent only models [23.8 s] +
⠏ | 0 | Evaluations according to 2015 NAFTA guidance
⠋ | 1 | Evaluations according to 2015 NAFTA guidance
⠙ | 2 | Evaluations according to 2015 NAFTA guidance
⠹ | 3 | Evaluations according to 2015 NAFTA guidance
⠸ | 4 | Evaluations according to 2015 NAFTA guidance
⠼ | 5 | Evaluations according to 2015 NAFTA guidance
⠴ | 6 | Evaluations according to 2015 NAFTA guidance
⠦ | 7 | Evaluations according to 2015 NAFTA guidance
⠧ | 8 | Evaluations according to 2015 NAFTA guidance
⠇ | 9 | Evaluations according to 2015 NAFTA guidance
⠏ | 10 | Evaluations according to 2015 NAFTA guidance
⠋ | 11 | Evaluations according to 2015 NAFTA guidance
⠙ | 12 | Evaluations according to 2015 NAFTA guidance
⠹ | 13 | Evaluations according to 2015 NAFTA guidance
⠸ | 14 | Evaluations according to 2015 NAFTA guidance
⠼ | 15 | Evaluations according to 2015 NAFTA guidance
⠴ | 16 | Evaluations according to 2015 NAFTA guidance
✔ | 16 | Evaluations according to 2015 NAFTA guidance [4.1 s] +
⠏ | 0 | Fitting of parent only models
⠋ | 1 | Fitting of parent only models
⠙ | 2 | Fitting of parent only models
⠹ | 3 | Fitting of parent only models
⠸ | 4 | Fitting of parent only models
⠼ | 5 | Fitting of parent only models
⠴ | 6 | Fitting of parent only models
⠦ | 7 | Fitting of parent only models
⠧ | 8 | Fitting of parent only models
⠇ | 9 | Fitting of parent only models
⠏ | 10 | Fitting of parent only models
⠋ | 11 | Fitting of parent only models
⠙ | 12 | Fitting of parent only models
⠹ | 13 | Fitting of parent only models
⠸ | 14 | Fitting of parent only models
⠼ | 15 | Fitting of parent only models
⠴ | 16 | Fitting of parent only models
⠦ | 17 | Fitting of parent only models
⠧ | 18 | Fitting of parent only models
⠇ | 19 | Fitting of parent only models
⠏ | 20 | Fitting of parent only models
⠋ | 21 | Fitting of parent only models
✔ | 21 | Fitting of parent only models [58.6 s]
⠏ | 0 | Calculation of maximum time weighted average concentrations (TWAs)
⠋ | 1 | Calculation of maximum time weighted average concentrations (TWAs)
⠙ | 2 | Calculation of maximum time weighted average concentrations (TWAs)
⠹ | 3 | Calculation of maximum time weighted average concentrations (TWAs)
⠸ | 4 | Calculation of maximum time weighted average concentrations (TWAs)
✔ | 4 | Calculation of maximum time weighted average concentrations (TWAs) [3.7 s]
⠏ | 0 | Summary
⠋ | 1 | Summary
✔ | 1 | Summary
⠏ | 0 | Plotting
⠋ | 1 | Plotting
⠙ | 2 | Plotting
⠹ | 3 | Plotting
⠸ | 4 | Plotting
✔ | 4 | Plotting [0.3 s]
⠏ | 0 | AIC calculation
⠋ | 1 | AIC calculation
⠙ | 2 | AIC calculation
✔ | 2 | AIC calculation -
⠏ | 0 | Complex test case from Schaefer et al. (2007) Piacenza paper
⠋ | 1 | Complex test case from Schaefer et al. (2007) Piacenza paper
⠙ | 2 | Complex test case from Schaefer et al. (2007) Piacenza paper
✔ | 2 | Complex test case from Schaefer et al. (2007) Piacenza paper [5.9 s] +
⠏ | 0 | Complex test case from Schaefer et al. (2007) Piacenza paper
⠋ | 1 | Complex test case from Schaefer et al. (2007) Piacenza paper
⠙ | 2 | Complex test case from Schaefer et al. (2007) Piacenza paper
✔ | 2 | Complex test case from Schaefer et al. (2007) Piacenza paper [5.6 s]
⠏ | 0 | Results for synthetic data established in expertise for UBA (Ranke 2014)
⠋ | 1 | Results for synthetic data established in expertise for UBA (Ranke 2014)
⠙ | 2 | Results for synthetic data established in expertise for UBA (Ranke 2014)
⠹ | 3 | Results for synthetic data established in expertise for UBA (Ranke 2014)
⠸ | 4 | Results for synthetic data established in expertise for UBA (Ranke 2014)
✔ | 4 | Results for synthetic data established in expertise for UBA (Ranke 2014) [7.4 s] ══ Results ═════════════════════════════════════════════════════════════════════ -Duration: 75.3 s +Duration: 265.8 s -OK: 106 +OK: 115 Failed: 0 -Warnings: 0 -Skipped: 3 +Warnings: 2 +Skipped: 2 diff --git a/tests/figs/deps.txt b/tests/figs/deps.txt index 0f6c3754..059d3572 100644 --- a/tests/figs/deps.txt +++ b/tests/figs/deps.txt @@ -1,3 +1,3 @@ - vdiffr-svg-engine: 1.0 -- vdiffr: 0.3.0.9000 +- vdiffr: 0.3.0 - freetypeharfbuzz: 0.2.5 diff --git a/tests/figs/evaluations-according-to-2015-nafta-guidance/plot-nafta-analysis.svg b/tests/figs/evaluations-according-to-2015-nafta-guidance/plot-nafta-analysis.svg index 58f57e93..5e98487b 100644 --- a/tests/figs/evaluations-according-to-2015-nafta-guidance/plot-nafta-analysis.svg +++ b/tests/figs/evaluations-according-to-2015-nafta-guidance/plot-nafta-analysis.svg @@ -283,7 +283,7 @@ <circle cx='439.64' cy='288.56' r='1.89pt' style='stroke-width: 0.75;' 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log_k1 log_k2 g_ilr sigma 85.1 -2.302585 -4.60517 0 -Model cost at call 1 : 7391.39 +Negative log-likelihood at call 1: 7391.39 85.1 -2.302585 -4.60517 0 85.1 -2.302585 -4.60517 0 -Model cost at call 3 : 7391.389 +Negative log-likelihood at call 3: 7391.389 85.1 -2.302585 -4.60517 0 -Model cost at call 4 : 7391.389 +Negative log-likelihood at call 4: 7391.389 85.1 -2.302585 -4.60517 1.490116e-08 85.06371 -1.77328 -4.250366 0.7698268 -Model cost at call 6 : 2000.127 +Negative log-likelihood at call 6: 2000.127 85.06375 -1.77328 -4.250366 0.7698268 85.06371 -1.773322 -4.250366 0.7698268 85.06371 -1.77328 -4.250408 0.7698268 85.06371 -1.77328 -4.250366 0.7697847 85.03542 -0.9608523 -4.11546 1.336361 -Model cost at call 11 : 32.97798 +Negative log-likelihood at call 11: 32.97798 85.03542 -0.9608523 -4.11546 1.336361 85.03542 -0.9608526 -4.11546 1.336361 85.03542 -0.9608523 -4.11546 1.336361 85.03542 -0.9608523 -4.11546 1.336361 85.03704 -0.256064 -4.273512 0.6447755 85.03285 -0.7822828 -4.127513 1.312494 -Model cost at call 17 : 5.348133 +Negative log-likelihood at call 17: 5.348133 85.03286 -0.7822828 -4.127513 1.312494 -Model cost at call 18 : 5.348132 +Negative log-likelihood at call 18: 5.348132 85.03285 -0.7822828 -4.127513 1.312494 -Model cost at call 19 : 5.348131 +Negative log-likelihood at call 19: 5.348131 85.03285 -0.7822828 -4.127513 1.312494 85.03285 -0.7822828 -4.127513 1.312494 -Model cost at call 21 : 5.348131 +Negative log-likelihood at call 21: 5.348131 85.02325 -0.74968 -4.059 1.14891 85.03127 -0.7909068 -4.114802 1.268157 -Model cost at call 23 : 4.704445 +Negative log-likelihood at call 23: 4.704445 85.03127 -0.7909068 -4.114802 1.268157 -Model cost at call 24 : 4.704444 +Negative log-likelihood at call 24: 4.704444 85.03127 -0.7909068 -4.114802 1.268157 85.03127 -0.7909068 -4.1148 1.268157 -Model cost at call 26 : 4.704433 +Negative log-likelihood at call 26: 4.704433 85.03127 -0.7909068 -4.114802 1.268158 85.03001 -0.7801506 -4.069435 1.262797 -Model cost at call 28 : 4.421625 +Negative log-likelihood at call 28: 4.421625 85.03001 -0.7801506 -4.069435 1.262797 85.03001 -0.7801507 -4.069435 1.262797 -Model cost at call 30 : 4.421624 +Negative log-likelihood at call 30: 4.421624 85.03001 -0.7801506 -4.069435 1.262797 85.03001 -0.7801506 -4.069435 1.262797 85.02878 -0.7900844 -4.023945 1.256918 85.02964 -0.7857352 -4.054587 1.260236 -Model cost at call 34 : 4.414346 +Negative log-likelihood at call 34: 4.414346 85.02964 -0.7857352 -4.054587 1.260236 85.02964 -0.7857351 -4.054587 1.260236 -Model cost at call 36 : 4.414346 +Negative log-likelihood at call 36: 4.414346 85.02964 -0.7857352 -4.054588 1.260236 85.02964 -0.7857352 -4.054587 1.260236 85.02812 -0.7778128 -4.042219 1.25389 -Model cost at call 39 : 4.372463 +Negative log-likelihood at call 39: 4.372463 85.02812 -0.7778128 -4.042219 1.25389 85.02812 -0.7778129 -4.042219 1.25389 -Model cost at call 41 : 4.372462 +Negative log-likelihood at call 41: 4.372462 85.02812 -0.7778128 -4.042219 1.25389 85.02812 -0.7778128 -4.042219 1.25389 85.02419 -0.7765144 -4.02942 1.245094 85.0263 -0.7778419 -4.036021 1.249634 -Model cost at call 45 : 4.369313 +Negative log-likelihood at call 45: 4.369313 85.0263 -0.7778419 -4.036021 1.249634 85.0263 -0.7778418 -4.036021 1.249634 -Model cost at call 47 : 4.369313 +Negative log-likelihood at call 47: 4.369313 85.0263 -0.7778419 -4.036022 1.249634 85.0263 -0.7778419 -4.036021 1.249634 -Model cost at call 49 : 4.369313 +Negative log-likelihood at call 49: 4.369313 85.02267 -0.7786811 -4.02967 1.252015 -Model cost at call 50 : 4.365062 +Negative log-likelihood at call 50: 4.365062 85.02268 -0.7786811 -4.02967 1.252015 85.02267 -0.7786812 -4.02967 1.252015 85.02267 -0.7786811 -4.02967 1.252015 -Model cost at call 53 : 4.365062 +Negative log-likelihood at call 53: 4.365062 85.02267 -0.7786811 -4.02967 1.252015 85.01633 -0.7763163 -4.027611 1.248897 -Model cost at call 55 : 4.364078 +Negative log-likelihood at call 55: 4.364078 85.01633 -0.7763163 -4.027611 1.248897 -Model cost at call 56 : 4.364078 +Negative log-likelihood at call 56: 4.364078 85.01633 -0.7763164 -4.027611 1.248897 -Model cost at call 57 : 4.364077 +Negative log-likelihood at call 57: 4.364077 85.01633 -0.7763163 -4.027611 1.248897 85.01633 -0.7763163 -4.027611 1.248897 85.00894 -0.7777917 -4.026307 1.24772 -Model cost at call 60 : 4.364052 +Negative log-likelihood at call 60: 4.364052 85.00894 -0.7777917 -4.026307 1.24772 -Model cost at call 61 : 4.364052 +Negative log-likelihood at call 61: 4.364052 85.00894 -0.7777917 -4.026307 1.24772 -Model cost at call 62 : 4.364052 +Negative log-likelihood at call 62: 4.364052 85.00894 -0.7777917 -4.026307 1.24772 85.00894 -0.7777917 -4.026307 1.24772 -Model cost at call 64 : 4.364052 +Negative log-likelihood at call 64: 4.364052 85.00518 -0.7773082 -4.026004 1.248453 -Model cost at call 65 : 4.362751 +Negative log-likelihood at call 65: 4.362751 85.00519 -0.7773082 -4.026004 1.248453 85.00518 -0.7773083 -4.026004 1.248453 -Model cost at call 67 : 4.362751 +Negative log-likelihood at call 67: 4.362751 85.00518 -0.7773082 -4.026005 1.248453 85.00518 -0.7773082 -4.026004 1.248453 85.00134 -0.7776046 -4.025878 1.248775 -Model cost at call 70 : 4.362721 +Negative log-likelihood at call 70: 4.362721 85.00135 -0.7776046 -4.025878 1.248775 -Model cost at call 71 : 4.362721 +Negative log-likelihood at call 71: 4.362721 85.00134 -0.7776046 -4.025878 1.248775 -Model cost at call 72 : 4.362721 +Negative log-likelihood at call 72: 4.362721 85.00134 -0.7776046 -4.025878 1.248775 85.00134 -0.7776046 -4.025878 1.248775 85.0032 -0.7774734 -4.0257 1.248643 -Model cost at call 75 : 4.362715 +Negative log-likelihood at call 75: 4.362715 85.0032 -0.7774734 -4.0257 1.248643 85.0032 -0.7774734 -4.0257 1.248643 -Model cost at call 77 : 4.362715 +Negative log-likelihood at call 77: 4.362715 85.0032 -0.7774735 -4.0257 1.248643 85.0032 -0.7774734 -4.0257 1.248643 85.0032 -0.7774734 -4.0257 1.248643 85.0032 -0.7774734 -4.0257 1.248643 85.00249 -0.7774909 -4.025911 1.248679 -Model cost at call 82 : 4.362715 +Negative log-likelihood at call 82: 4.362715 85.0025 -0.7774909 -4.025911 1.248679 -Model cost at call 83 : 4.362715 +Negative log-likelihood at call 83: 4.362715 85.00249 -0.7774909 -4.025911 1.248679 85.00249 -0.7774905 -4.025911 1.248679 85.00249 -0.7774914 -4.025911 1.248679 -Model cost at call 86 : 4.362715 +Negative log-likelihood at call 86: 4.362715 85.00249 -0.7774909 -4.025911 1.248679 85.00249 -0.7774909 -4.025911 1.248679 85.00249 -0.7774909 -4.025911 1.248679 85.00249 -0.7774909 -4.025911 1.248679 85.00274 -0.7774922 -4.025821 1.248672 -Model cost at call 91 : 4.362714 +Negative log-likelihood at call 91: 4.362714 85.00274 -0.7774922 -4.025821 1.248672 85.00274 -0.7774922 -4.025821 1.248672 -Model cost at call 93 : 4.362714 +Negative log-likelihood at call 93: 4.362714 85.00274 -0.7774921 -4.025821 1.248672 -Model cost at call 94 : 4.362714 +Negative log-likelihood at call 94: 4.362714 85.00274 -0.7774922 -4.025821 1.248672 85.00274 -0.7774922 -4.025821 1.248672 85.00274 -0.7774922 -4.025821 1.248672 85.00274 -0.7774922 -4.025821 1.248672 85.00274 -0.7774922 -4.025821 1.248672 85.00273 -0.7774912 -4.025817 1.24867 -Model cost at call 100 : 4.362714 +Negative log-likelihood at call 100: 4.362714 85.00275 -0.7774912 -4.025817 1.24867 85.00271 -0.7774912 -4.025817 1.24867 85.00273 -0.7774905 -4.025817 1.24867 @@ -152,7 +152,7 @@ Model cost at call 100 : 4.362714 85.00273 -0.7774912 -4.025817 1.248671 85.00273 -0.7774912 -4.025817 1.248669 85.00274 -0.7774913 -4.025819 1.248671 -Model cost at call 109 : 4.362714 +Negative log-likelihood at call 109: 4.362714 85.00276 -0.7774913 -4.025819 1.248671 85.00272 -0.7774913 -4.025819 1.248671 85.00274 -0.7774904 -4.025819 1.248671 @@ -162,109 +162,249 @@ Model cost at call 109 : 4.362714 85.00274 -0.7774913 -4.025819 1.248672 85.00274 -0.7774913 -4.025819 1.248669 85.00274 -0.7774913 -4.025819 1.248671 -85.00274 -0.7774913 -4.025819 1.248671 -85.00274 -0.7774913 -4.025819 1.248671 -85.00274 -0.7774913 -4.025819 1.248671 -85.00274 -0.7774913 -4.025819 1.248671 -85.00274 -0.7774913 -4.025819 1.248671 -Model cost at call 123 : 4.362714 -85.00274 -0.7774913 -4.025819 1.248671 -85.00274 -0.7774913 -4.025819 1.248671 -85.00274 -0.7774913 -4.025819 1.248671 -85.00274 -0.7774913 -4.025819 1.248671 -85.00274 -0.7774913 -4.025819 1.248671 -IRLS based on variance estimates according to the two component error model -Initial variance components are: -sigma_low rsd_high - 1.08984 0.00000 -85.00274 -0.7774913 -4.025819 1.248671 -Model cost at call 129 : 3.673061 -85.00274 -0.7774913 -4.025819 1.248671 -85.00274 -0.7774913 -4.025819 1.248671 -85.00274 -0.7774913 -4.025819 1.248671 -Model cost at call 132 : 3.673061 -85.00274 -0.7774913 -4.025819 1.248671 -85.00273 -0.7775309 -4.025818 1.24866 -85.00274 -0.7774953 -4.025819 1.24867 -85.00274 -0.7774917 -4.025819 1.248671 -85.00274 -0.7774914 -4.025819 1.248671 -85.00274 -0.7774913 -4.025819 1.248671 -Model cost at call 138 : 3.673061 -85.00277 -0.7774913 -4.025819 1.248671 -85.0027 -0.7774913 -4.025819 1.248671 -85.00274 -0.7774744 -4.025819 1.248671 -85.00274 -0.7775083 -4.025819 1.248671 -85.00274 -0.7774913 -4.025779 1.248671 -85.00274 -0.7774913 -4.025858 1.248671 -85.00274 -0.7774913 -4.025819 1.248702 -85.00274 -0.7774913 -4.025819 1.248639 -85.00274 -0.7774913 -4.025819 1.248671 -Model cost at call 147 : 3.673061 -85.00276 -0.7774913 -4.025819 1.248671 -85.00271 -0.7774913 -4.025819 1.248671 -85.00274 -0.7774906 -4.025819 1.248671 -85.00274 -0.7774921 -4.025819 1.248671 -85.00274 -0.7774913 -4.025812 1.248671 -85.00274 -0.7774913 -4.025825 1.248671 -85.00274 -0.7774913 -4.025819 1.248672 -85.00274 -0.7774913 -4.025819 1.248669 -85.00274 -0.7774913 -4.025819 1.248671 -85.00274 -0.7774913 -4.025819 1.248671 -85.00274 -0.7774913 -4.025819 1.248671 -85.00274 -0.7774913 -4.025819 1.248671 -Model cost at call 159 : 3.673061 -85.00274 -0.7774913 -4.025819 1.248671 -85.00274 -0.7774913 -4.025819 1.248671 -85.00274 -0.7774913 -4.025819 1.248671 -85.00274 -0.7774913 -4.025819 1.248671 -85.00274 -0.7774913 -4.025819 1.248671 -85.00274 -0.7774913 -4.025819 1.248671 -85.00274 -0.7774913 -4.025819 1.248671 -Iteration 1 yields variance estimates: -sigma_low rsd_high -0.7434091 0.0000000 -Sum of squared differences to last variance (component) estimates: 0.12 -85.00274 -0.7774913 -4.025819 1.248671 -85.00274 -0.7774913 -4.025819 1.248671 -85.00274 -0.7774913 -4.025819 1.248671 -85.00274 -0.7774913 -4.025819 1.248671 -85.00274 -0.7774913 -4.025819 1.248671 -85.00273 -0.7775366 -4.025821 1.248652 -85.00274 -0.7774959 -4.025819 1.248669 -85.00274 -0.7774918 -4.025819 1.24867 -85.00274 -0.7774914 -4.025819 1.248671 -85.00274 -0.7774913 -4.025819 1.248671 -85.00274 -0.7774913 -4.025819 1.248671 -85.00279 -0.7774913 -4.025819 1.248671 -85.00268 -0.7774913 -4.025819 1.248671 -85.00274 -0.7774621 -4.025819 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1.248671 -Iteration 2 yields variance estimates: -sigma_low rsd_high -0.7434091 0.0000000 -Sum of squared differences to last variance (component) estimates: 2.9e-16 -Optimisation by method Port successfully terminated. +85.00274 -0.7774913 -4.025819 1.248671 0.696237 +85.00274 -0.7774913 -4.025819 1.248671 0.696237 +85.00274 -0.7774913 -4.025819 1.248671 0.696237 +93.50301 -0.7774913 -4.025819 1.248671 0.696237 +76.50246 -0.7774913 -4.025819 1.248671 0.696237 +89.25287 -0.7774913 -4.025819 1.248671 0.696237 +80.7526 -0.7774913 -4.025819 1.248671 0.696237 +87.12781 -0.7774913 -4.025819 1.248671 0.696237 +82.87767 -0.7774913 -4.025819 1.248671 0.696237 +86.06527 -0.7774913 -4.025819 1.248671 0.696237 +83.9402 -0.7774913 -4.025819 1.248671 0.696237 +85.00274 -0.6997422 -4.025819 1.248671 0.696237 +85.00274 -0.8552405 -4.025819 1.248671 0.696237 +85.00274 -0.7386168 -4.025819 1.248671 0.696237 +85.00274 -0.8163659 -4.025819 1.248671 0.696237 +85.00274 -0.758054 -4.025819 1.248671 0.696237 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0.4595574 0.0178488 0.8966427 0.7310489 +85.00274 0.4595574 0.0178488 0.8112482 0.6614252 +85.00274 0.4595574 0.0178488 0.8752941 0.713643 +85.00274 0.4595574 0.0178488 0.8325968 0.6788311 +85.00274 0.4595574 0.0178488 0.8646197 0.70494 +85.00274 0.4595574 0.0178488 0.8432711 0.6875341 +Optimisation successfully terminated. diff --git a/tests/testthat/FOCUS_2006_D.csf b/tests/testthat/FOCUS_2006_D.csf index c14aab4d..84500b54 100644 --- a/tests/testthat/FOCUS_2006_D.csf +++ b/tests/testthat/FOCUS_2006_D.csf @@ -5,7 +5,7 @@ Description: MeasurementUnits: % AR TimeUnits: days Comments: Created using mkin::CAKE_export -Date: 2019-03-04 +Date: 2019-04-10 Optimiser: IRLS [Data] diff --git a/tests/testthat/NAFTA_SOP_Appendix_B.txt b/tests/testthat/NAFTA_SOP_Appendix_B.txt index 26a340c5..9c072d58 100644 --- a/tests/testthat/NAFTA_SOP_Appendix_B.txt +++ b/tests/testthat/NAFTA_SOP_Appendix_B.txt @@ -8,21 +8,24 @@ Critical sum of squares for checking the SFO model: Parameters: $SFO Estimate Pr(>t) Lower Upper -parent_0 51.243 1.18e-10 45.404 57.082 -k_parent_sink 0.253 1.61e-06 0.194 0.331 +parent_0 51.243 2.12e-10 45.724 56.762 +k_parent_sink 0.253 2.95e-06 0.193 0.332 +sigma 3.529 1.28e-04 2.061 4.997 $IORE Estimate Pr(>t) Lower Upper -parent_0 51.71053 8.52e-15 4.95e+01 53.90735 -k__iore_parent_sink 0.00135 6.84e-02 3.42e-04 0.00531 -N_parent 2.66147 3.98e-08 2.19e+00 3.13193 +parent_0 51.71053 2.60e-14 4.97e+01 53.68122 +k__iore_parent_sink 0.00135 5.21e-02 3.88e-04 0.00469 +N_parent 2.66147 3.67e-08 2.23e+00 3.08855 +sigma 1.25124 1.76e-04 7.24e-01 1.77811 $DFOP Estimate Pr(>t) Lower Upper -parent_0 51.7055 3.46e-14 49.67793 53.7330 -k1 0.4157 1.00e-06 0.33077 0.5224 -k2 0.0127 1.39e-03 0.00723 0.0224 -g 0.8338 5.72e-12 0.77182 0.8815 +parent_0 51.7055 8.99e-14 49.96593 53.4450 +k1 0.4157 5.65e-07 0.34129 0.5063 +k2 0.0127 7.78e-04 0.00768 0.0211 +g 0.8338 1.09e-11 0.78030 0.8763 +sigma 1.0880 2.50e-04 0.62286 1.5531 DTx values: diff --git a/tests/testthat/NAFTA_SOP_Appendix_D.txt b/tests/testthat/NAFTA_SOP_Appendix_D.txt index 1e846a16..ad650a5f 100644 --- a/tests/testthat/NAFTA_SOP_Appendix_D.txt +++ b/tests/testthat/NAFTA_SOP_Appendix_D.txt @@ -7,22 +7,25 @@ Critical sum of squares for checking the SFO model: Parameters: $SFO - Estimate Pr(>t) Lower Upper -parent_0 83.7558 8.08e-15 76.92822 90.58328 -k_parent_sink 0.0017 7.45e-05 0.00111 0.00262 + Estimate Pr(>t) Lower Upper +parent_0 83.7558 1.80e-14 77.18268 90.3288 +k_parent_sink 0.0017 7.43e-05 0.00112 0.0026 +sigma 8.7518 1.22e-05 5.64278 11.8608 $IORE Estimate Pr(>t) Lower Upper -parent_0 9.69e+01 NA 8.75e+01 1.06e+02 -k__iore_parent_sink 8.40e-14 NA 1.09e-19 6.47e-08 -N_parent 6.68e+00 NA 3.54e+00 9.83e+00 +parent_0 9.69e+01 NA 8.88e+01 1.05e+02 +k__iore_parent_sink 8.40e-14 NA 1.79e-18 3.94e-09 +N_parent 6.68e+00 NA 4.19e+00 9.17e+00 +sigma 5.85e+00 NA 3.76e+00 7.94e+00 $DFOP Estimate Pr(>t) Lower Upper -parent_0 9.76e+01 4.44e-13 8.88e+01 1.06e+02 -k1 4.24e-02 3.55e-02 1.41e-02 1.27e-01 -k2 8.24e-04 2.06e-02 3.17e-04 2.14e-03 -g 2.88e-01 1.31e-04 1.78e-01 4.30e-01 +parent_0 9.76e+01 1.94e-13 9.02e+01 1.05e+02 +k1 4.24e-02 5.92e-03 2.03e-02 8.88e-02 +k2 8.24e-04 6.48e-03 3.89e-04 1.75e-03 +g 2.88e-01 2.47e-05 1.95e-01 4.03e-01 +sigma 5.36e+00 2.22e-05 3.43e+00 7.30e+00 DTx values: @@ -32,4 +35,4 @@ IORE 541 5190000 1560000 DFOP 429 2380 841 Representative half-life: -[1] 841.4096 +[1] 841.4094 diff --git a/tests/testthat/summary_DFOP_FOCUS_C.txt b/tests/testthat/summary_DFOP_FOCUS_C.txt index 33d55ebc..1d669d43 100644 --- a/tests/testthat/summary_DFOP_FOCUS_C.txt +++ b/tests/testthat/summary_DFOP_FOCUS_C.txt @@ -10,16 +10,18 @@ d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 * Model predictions using solution type analytical -Fitted with method Port using test 0 model solutions performed in test time 0 s +Fitted with method using test 0 model solutions performed in test time 0 s -Weighting: none +Error model: +NULL Starting values for parameters to be optimised: - value type -parent_0 85.10 state -k1 0.10 deparm -k2 0.01 deparm -g 0.50 deparm + value type +parent_0 85.100000 state +k1 0.100000 deparm +k2 0.010000 deparm +g 0.500000 deparm +sigma 0.696237 error Starting values for the transformed parameters actually optimised: value lower upper @@ -27,35 +29,37 @@ parent_0 85.100000 -Inf Inf log_k1 -2.302585 -Inf Inf log_k2 -4.605170 -Inf Inf g_ilr 0.000000 -Inf Inf +sigma 0.696237 0 Inf Fixed parameter values: None Optimised, transformed parameters with symmetric confidence intervals: Estimate Std. Error Lower Upper -parent_0 85.0000 0.89070 82.7100 87.2900 -log_k1 -0.7775 0.04430 -0.8914 -0.6636 -log_k2 -4.0260 0.17030 -4.4640 -3.5880 -g_ilr 1.2490 0.07619 1.0530 1.4450 +parent_0 85.0000 0.66620 83.1500 86.8500 +log_k1 -0.7775 0.03380 -0.8713 -0.6836 +log_k2 -4.0260 0.13100 -4.3890 -3.6620 +g_ilr 1.2490 0.05811 1.0870 1.4100 +sigma 0.6962 0.16410 0.2406 1.1520 Parameter correlation: - parent_0 log_k1 log_k2 g_ilr -parent_0 1.00000 0.4338 0.07924 -0.01897 -log_k1 0.43380 1.0000 0.46567 -0.66010 -log_k2 0.07924 0.4657 1.00000 -0.74183 -g_ilr -0.01897 -0.6601 -0.74183 1.00000 - -Residual standard error: 0.9341 on 5 degrees of freedom + parent_0 log_k1 log_k2 g_ilr sigma +parent_0 1.000e+00 4.393e-01 8.805e-02 -3.176e-02 5.405e-07 +log_k1 4.393e-01 1.000e+00 4.821e-01 -6.716e-01 4.395e-07 +log_k2 8.805e-02 4.821e-01 1.000e+00 -7.532e-01 -1.151e-07 +g_ilr -3.176e-02 -6.716e-01 -7.532e-01 1.000e+00 -2.142e-08 +sigma 5.405e-07 4.395e-07 -1.151e-07 -2.142e-08 1.000e+00 Backtransformed parameters: Confidence intervals for internally transformed parameters are asymmetric. t-test (unrealistically) based on the assumption of normal distribution for estimators of untransformed parameters. Estimate t value Pr(>t) Lower Upper -parent_0 85.00000 95.440 1.197e-09 82.71000 87.29000 -k1 0.45960 22.570 1.586e-06 0.41010 0.51500 -k2 0.01785 5.873 1.016e-03 0.01152 0.02765 -g 0.85390 63.540 9.135e-09 0.81590 0.88520 +parent_0 85.00000 127.600 1.131e-08 83.15000 86.85000 +k1 0.45960 29.580 3.887e-06 0.41840 0.50480 +k2 0.01785 7.636 7.901e-04 0.01241 0.02568 +g 0.85390 83.310 6.221e-08 0.82310 0.88020 +sigma 0.69620 4.243 6.618e-03 0.24060 1.15200 Chi2 error levels in percent: err.min n.optim df diff --git a/tests/testthat/test_FOCUS_D_UBA_expertise.R b/tests/testthat/test_FOCUS_D_UBA_expertise.R index 42c4fcfb..3a49078c 100644 --- a/tests/testthat/test_FOCUS_D_UBA_expertise.R +++ b/tests/testthat/test_FOCUS_D_UBA_expertise.R @@ -27,20 +27,18 @@ SFO_SFO.ff <- mkinmod(parent = list(type = "SFO", to = "m1"), test_that("Fits without formation fractions are correct for FOCUS D", { - fit.default <- mkinfit(SFO_SFO, FOCUS_2006_D, quiet = TRUE) + fit.default <- expect_warning(mkinfit(SFO_SFO, FOCUS_2006_D, quiet = TRUE), "value of zero") expect_equal(round(as.numeric(endpoints(fit.default)$distimes["parent", ]), 2), c(7.02, 23.33)) expect_equal(round(as.numeric(endpoints(fit.default)$distimes["m1", ]), 1), c(131.8, 437.7)) - expect_equal(signif(summary(fit.default)$bpar[, "t value"], 5), - c(parent_0 = 61.720, k_parent_sink = 12.777, k_parent_m1 = 24.248, k_m1_sink = 7.3486)) }) test_that("Fits with formation fractions are correct for FOCUS D", { skip_on_cran() - fit.ff <- mkinfit(SFO_SFO.ff, FOCUS_2006_D, quiet = TRUE) + fit.ff <- expect_warning(mkinfit(SFO_SFO.ff, FOCUS_2006_D, quiet = TRUE), "value of zero") expect_equivalent(round(fit.ff$bparms.optim, c(2, 4, 4, 4)), c(99.60, 0.0987, 0.0053, 0.5145)) @@ -88,6 +86,7 @@ test_that("The t-value for fits using internal transformations corresponds with synthetic_data_for_UBA_2014[[12]]$data, quiet = TRUE) + skip("Hessian matrices and df calculations differ from those in FME") # Note that the k1 and k2 are exchanged in the untransformed fit evaluated with FME for this test expect_equal(signif(summary(fit_DFOP_par_c_2)$bpar[1:7, "t value"], 5), c(parent_0 = 80.054, k_M1_sink = 12.291, k_M2_sink = 10.588, diff --git a/tests/testthat/test_FOCUS_chi2_error_level.R b/tests/testthat/test_FOCUS_chi2_error_level.R index 1f1e2a06..69a8c2ad 100644 --- a/tests/testthat/test_FOCUS_chi2_error_level.R +++ b/tests/testthat/test_FOCUS_chi2_error_level.R @@ -26,7 +26,8 @@ SFO_SFO.ff <- mkinmod(parent = list(type = "SFO", to = "m1"), test_that("Chi2 error levels for FOCUS D are as in mkin 0.9-33", { - fit <- mkinfit(SFO_SFO.ff, FOCUS_2006_D, quiet = TRUE) + fit <- expect_warning(mkinfit(SFO_SFO.ff, FOCUS_2006_D, quiet = TRUE), + "Observations with value of zero") errmin.FOCUS_2006_D_rounded = data.frame( err.min = c(0.0640, 0.0646, 0.0469), diff --git a/tests/testthat/test_error_models.R b/tests/testthat/test_error_models.R index bda8ca7f..5a7aa4e8 100644 --- a/tests/testthat/test_error_models.R +++ b/tests/testthat/test_error_models.R @@ -1,4 +1,4 @@ -# Copyright (C) 2018 Johannes Ranke +# Copyright (C) 2018,2019 Johannes Ranke # Contact: jranke@uni-bremen.de # This file is part of the R package mkin @@ -70,13 +70,6 @@ test_that("Error model 'tc' works", { expect_equivalent(parms_3, c(102.1, 0.7393, 0.2992, 0.0202, 0.7687, 0.7229)) }) -test_that("Error model 'obs_tc' works", { - skip_on_cran() - fit_obs_tc_1 <- expect_warning(mkinfit(m_synth_SFO_lin, SFO_lin_a, error_model = "obs_tc", quiet = TRUE), "NaN") - # Here the error model is overparameterised - expect_warning(summary(fit_obs_tc_1), "singular system") -}) - test_that("Reweighting method 'tc' produces reasonable variance estimates", { # I need to make the tc method more robust against that @@ -148,7 +141,7 @@ test_that("Reweighting method 'tc' produces reasonable variance estimates", { d_met_2_15 <- add_err(d_synth_DFOP_lin, sdfunc = function(x) sigma_twocomp(x, 0.5, 0.07), - n = 15, reps = 100, digits = 5, LOD = -Inf, seed = 123456) + n = 15, reps = 100, digits = 5, LOD = 0.01, seed = 123456) # For a single fit, we get a relative error of less than 10% in the error # model components @@ -165,14 +158,14 @@ test_that("Reweighting method 'tc' produces reasonable variance estimates", { parms_met_2_15_tc_e4 <- apply(sapply(f_met_2_15_tc_e4, function(x) x$bparms.optim), 1, mean) parm_errors_met_2_15_tc_e4 <- (parms_met_2_15_tc_e4[names(parms_DFOP_lin_optim)] - parms_DFOP_lin_optim) / parms_DFOP_lin_optim - expect_true(all(abs(parm_errors_met_2_15_tc_e4) < 0.01)) + expect_true(all(abs(parm_errors_met_2_15_tc_e4) < 0.015)) tcf_met_2_15_tc <- apply(sapply(f_met_2_15_tc_e4, function(x) x$errparms), 1, mean, na.rm = TRUE) tcf_met_2_15_tc_error_model_errors <- (tcf_met_2_15_tc - c(0.5, 0.07)) / c(0.5, 0.07) - # Here we get a precision < 15% for retrieving the original error model components + # Here we get a precision < 10% for retrieving the original error model components # from 15 datasets - expect_true(all(abs(tcf_met_2_15_tc_error_model_errors) < 0.15)) + expect_true(all(abs(tcf_met_2_15_tc_error_model_errors) < 0.10)) }) diff --git a/tests/testthat/test_from_max_mean.R b/tests/testthat/test_from_max_mean.R index 7529c5f2..c4d6bfe4 100644 --- a/tests/testthat/test_from_max_mean.R +++ b/tests/testthat/test_from_max_mean.R @@ -1,4 +1,4 @@ -# Copyright (C) 2018 Johannes Ranke +# Copyright (C) 2018,2019 Johannes Ranke # Contact: jranke@uni-bremen.de # This file is part of the R package mkin @@ -21,15 +21,19 @@ context("Test fitting the decline of metabolites from their maximum") test_that("Fitting from maximum mean value works", { SFO_SFO <- mkinmod(parent = mkinsub("SFO", "m1"), m1 = mkinsub("SFO")) - expect_error(mkinfit(SFO_SFO, FOCUS_2006_D, from_max_mean = TRUE)) + expect_warning( + expect_error(mkinfit(SFO_SFO, FOCUS_2006_D, from_max_mean = TRUE), + "only implemented for models with a single observed variable"), + "Observations with value of zero were removed") # We can either explicitly create a model for m1, or subset the data SFO_m1 <- mkinmod(m1 = mkinsub("SFO")) - f.1 <- mkinfit(SFO_m1, FOCUS_2006_D, from_max_mean = TRUE, quiet = TRUE) + f.1 <- expect_warning(mkinfit(SFO_m1, FOCUS_2006_D, from_max_mean = TRUE, quiet = TRUE)) expect_equivalent(endpoints(f.1)$distimes["m1", ], c(170.8, 567.5), scale = 1, tolerance = 0.1) - f.2 <- mkinfit("SFO", subset(FOCUS_2006_D, name == "m1"), from_max_mean = TRUE, quiet = TRUE) + f.2 <- expect_warning(mkinfit("SFO", subset(FOCUS_2006_D, name == "m1"), + from_max_mean = TRUE, quiet = TRUE)) expect_equivalent(endpoints(f.2)$distimes["m1", ], c(170.8, 567.5), scale = 1, tolerance = 0.1) }) diff --git a/tests/testthat/test_mkinfit_errors.R b/tests/testthat/test_mkinfit_errors.R index f1b4618c..fa029d93 100644 --- a/tests/testthat/test_mkinfit_errors.R +++ b/tests/testthat/test_mkinfit_errors.R @@ -30,6 +30,9 @@ test_that("mkinfit stops to prevent and/or explain user errors", { expect_error(mkinfit("foo", FOCUS_2006_A)) expect_error(mkinfit(3, FOCUS_2006_A)) + # We remove zero observations from FOCUS_2006_D beforehand in + # order to avoid another expect_warning in the code + FOCUS_2006_D <- subset(FOCUS_2006_D, value != 0) # We get a warning if we use transform_fractions = FALSE with formation fractions # and an error if any pathway to sink is turned off as well expect_warning( @@ -50,26 +53,16 @@ test_that("mkinfit stops to prevent and/or explain user errors", { expect_error(mkinfit(SFO_SFO.ff, FOCUS_2006_D, solution_type = "analytical"), "not implemented") expect_error(mkinfit("FOMC", FOCUS_2006_A, solution_type = "eigen"), "coefficient matrix not present") - - # We suppress a message stemming from the interrupted call to system.time() - expect_error(suppressMessages(mkinfit("SFO", FOCUS_2006_A, reweight.method = - "foo", quiet = TRUE), "implemented")) - }) test_that("mkinfit stops early when a low maximum number of iterations is specified", { - expect_warning(mkinfit("SFO", FOCUS_2006_A, maxit.modFit = 1, quiet = TRUE)) - expect_warning(mkinfit("SFO", FOCUS_2006_A, maxit.modFit = 1, quiet = TRUE, method.modFit = "Marq")) -}) - -test_that("mkinfit warns if the user chooses the SANN method", { - expect_warning(mkinfit("SFO", FOCUS_2006_A, method.modFit = "SANN", maxit.modFit = 10, quiet = TRUE)) - skip("The SANN algorithm takes very long with the default maximum number of iterations of 10000") - expect_warning(mkinfit("SFO", FOCUS_2006_A, method.modFit = "SANN")) + expect_warning(mkinfit("SFO", FOCUS_2006_A, control = list(iter.max = 1), quiet = TRUE), + "iteration limit reached without convergence") }) test_that("mkinfit warns if a specified initial parameter value is not in the model", { - expect_warning(mkinfit("SFO", FOCUS_2006_A, parms.ini = c(k_xy = 0.1), quiet = TRUE)) + expect_warning(mkinfit("SFO", FOCUS_2006_A, parms.ini = c(k_xy = 0.1), quiet = TRUE), + "not used in the model") }) test_that("We get reproducible output if quiet = FALSE", { @@ -83,5 +76,6 @@ test_that("We get reproducible output if quiet = FALSE", { test_that("We get warnings in case of overparameterisation", { skip_on_cran() # On winbuilder the following fit does not give a warning expect_warning(f <- mkinfit("FOMC", FOCUS_2006_A, quiet = TRUE), "not converge") - s2 <- expect_warning(summary(mkinfit("DFOP", FOCUS_2006_A, quiet = TRUE)), "singular system") + # We do get Hessians and the related output after the switch to using numDeriv::hessian() + #s2 <- expect_warning(summary(mkinfit("DFOP", FOCUS_2006_A, quiet = TRUE)), "singular system") }) diff --git a/tests/testthat/test_nafta.R b/tests/testthat/test_nafta.R index 9528200d..096287aa 100644 --- a/tests/testthat/test_nafta.R +++ b/tests/testthat/test_nafta.R @@ -43,8 +43,8 @@ test_that("Test data from Appendix B are correctly evaluated", { }) test_that("Test data from Appendix D are correctly evaluated", { - expect_warning(res <- nafta(NAFTA_SOP_Appendix_D, "MRID 555555", - cores = 1, quiet = TRUE)) + res <- nafta(NAFTA_SOP_Appendix_D, "MRID 555555", + cores = 1, quiet = TRUE) # From Figure D.1 dtx_sop <- matrix(c(407, 541, 429, 1352, 5192066, 2383), nrow = 3, ncol = 2) diff --git a/tests/testthat/test_plots_summary_twa.R b/tests/testthat/test_plots_summary_twa.R index 201faa73..cf5715fa 100644 --- a/tests/testthat/test_plots_summary_twa.R +++ b/tests/testthat/test_plots_summary_twa.R @@ -79,8 +79,8 @@ test_that("Plotting mmkin objects is reproducible", { context("AIC calculation") test_that("The AIC is reproducible", { - expect_equivalent(AIC(fits[["SFO", "FOCUS_C"]]), 59.8, scale = 1, tolerance = 0.1) + expect_equivalent(AIC(fits[["SFO", "FOCUS_C"]]), 59.3, scale = 1, tolerance = 0.1) expect_equivalent(AIC(fits[, "FOCUS_C"]), - data.frame(df = c(3, 4, 5, 5), AIC = c(59.8, 44.7, 29.1, 39.3)), + data.frame(df = c(3, 4, 5, 5), AIC = c(59.3, 44.7, 29.0, 39.2)), scale = 1, tolerance = 0.1) }) diff --git a/tests/testthat/test_schaefer07_complex_case.R b/tests/testthat/test_schaefer07_complex_case.R index 844dd88f..66ebc03b 100644 --- a/tests/testthat/test_schaefer07_complex_case.R +++ b/tests/testthat/test_schaefer07_complex_case.R @@ -57,10 +57,11 @@ test_that("Complex test case from Schaefer (2007) can be reproduced (10% toleran r$mkin.deviation <- abs(round(100 * ((r$mkin - r$means)/r$means), digits=1))
expect_equal(r$mkin.deviation < 10, rep(TRUE, 14))
- # If we use optimisation algorithm 'Marq' we get a local minimum with a
- # sum of squared residuals of 273.3707
- # When using 'Marq', we need to give a good starting estimate e.g. for k_A2 in
+ # In previous versions of mkinfit, if we used optimisation algorithm 'Marq'
+ # we got a local minimum with a sum of squared residuals of 273.3707
+ # When using 'Marq', we needed to give a good starting estimate e.g. for k_A2 in
# order to get the optimum with sum of squared residuals 240.5686
- expect_equal(round(fit.default$ssr, 4), 240.5686)
+ ssr <- sum(fit.default$data$residual^2)
+ expect_equal(round(ssr, 4), 240.5686)
})
diff --git a/vignettes/web_only/NAFTA_examples.html b/vignettes/web_only/NAFTA_examples.html new file mode 100644 index 00000000..f1b3fa03 --- /dev/null +++ b/vignettes/web_only/NAFTA_examples.html @@ -0,0 +1,2405 @@ +<!DOCTYPE html> + +<html xmlns="http://www.w3.org/1999/xhtml"> + +<head> + +<meta charset="utf-8" /> +<meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> +<meta name="generator" content="pandoc" /> + + +<meta name="author" content="Johannes Ranke" /> + +<meta name="date" content="2019-04-10" /> + +<title>Evaluation of example datasets from Attachment 1 to the US EPA SOP for the NAFTA guidance</title> + +<script>/*! jQuery v1.11.3 | (c) 2005, 2015 jQuery Foundation, Inc. | jquery.org/license */ +!function(a,b){"object"==typeof module&&"object"==typeof module.exports?module.exports=a.document?b(a,!0):function(a){if(!a.document)throw new Error("jQuery requires a window with a document");return b(a)}:b(a)}("undefined"!=typeof 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) 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t(e,t,i){return[parseFloat(e[0])*(p.test(e[0])?t/100:1),parseFloat(e[1])*(p.test(e[1])?i/100:1)]}function i(t,i){return parseInt(e.css(t,i),10)||0}function s(t){var i=t[0];return 9===i.nodeType?{width:t.width(),height:t.height(),offset:{top:0,left:0}}:e.isWindow(i)?{width:t.width(),height:t.height(),offset:{top:t.scrollTop(),left:t.scrollLeft()}}:i.preventDefault?{width:0,height:0,offset:{top:i.pageY,left:i.pageX}}:{width:t.outerWidth(),height:t.outerHeight(),offset:t.offset()}}e.ui=e.ui||{};var n,a,o=Math.max,r=Math.abs,h=Math.round,l=/left|center|right/,u=/top|center|bottom/,d=/[\+\-]\d+(\.[\d]+)?%?/,c=/^\w+/,p=/%$/,f=e.fn.position;e.position={scrollbarWidth:function(){if(void 0!==n)return n;var t,i,s=e("<div style='display:block;position:absolute;width:50px;height:50px;overflow:hidden;'><div style='height:100px;width:auto;'></div></div>"),a=s.children()[0];return e("body").append(s),t=a.offsetWidth,s.css("overflow","scroll"),i=a.offsetWidth,t===i&&(i=s[0].clientWidth),s.remove(),n=t-i},getScrollInfo:function(t){var i=t.isWindow||t.isDocument?"":t.element.css("overflow-x"),s=t.isWindow||t.isDocument?"":t.element.css("overflow-y"),n="scroll"===i||"auto"===i&&t.width<t.element[0].scrollWidth,a="scroll"===s||"auto"===s&&t.height<t.element[0].scrollHeight;return{width:a?e.position.scrollbarWidth():0,height:n?e.position.scrollbarWidth():0}},getWithinInfo:function(t){var i=e(t||window),s=e.isWindow(i[0]),n=!!i[0]&&9===i[0].nodeType;return{element:i,isWindow:s,isDocument:n,offset:i.offset()||{left:0,top:0},scrollLeft:i.scrollLeft(),scrollTop:i.scrollTop(),width:s||n?i.width():i.outerWidth(),height:s||n?i.height():i.outerHeight()}}},e.fn.position=function(n){if(!n||!n.of)return f.apply(this,arguments);n=e.extend({},n);var p,m,g,v,y,b,_=e(n.of),x=e.position.getWithinInfo(n.within),w=e.position.getScrollInfo(x),k=(n.collision||"flip").split(" "),T={};return b=s(_),_[0].preventDefault&&(n.at="left top"),m=b.width,g=b.height,v=b.offset,y=e.extend({},v),e.each(["my","at"],function(){var e,t,i=(n[this]||"").split(" ");1===i.length&&(i=l.test(i[0])?i.concat(["center"]):u.test(i[0])?["center"].concat(i):["center","center"]),i[0]=l.test(i[0])?i[0]:"center",i[1]=u.test(i[1])?i[1]:"center",e=d.exec(i[0]),t=d.exec(i[1]),T[this]=[e?e[0]:0,t?t[0]:0],n[this]=[c.exec(i[0])[0],c.exec(i[1])[0]]}),1===k.length&&(k[1]=k[0]),"right"===n.at[0]?y.left+=m:"center"===n.at[0]&&(y.left+=m/2),"bottom"===n.at[1]?y.top+=g:"center"===n.at[1]&&(y.top+=g/2),p=t(T.at,m,g),y.left+=p[0],y.top+=p[1],this.each(function(){var s,l,u=e(this),d=u.outerWidth(),c=u.outerHeight(),f=i(this,"marginLeft"),b=i(this,"marginTop"),D=d+f+i(this,"marginRight")+w.width,S=c+b+i(this,"marginBottom")+w.height,N=e.extend({},y),M=t(T.my,u.outerWidth(),u.outerHeight());"right"===n.my[0]?N.left-=d:"center"===n.my[0]&&(N.left-=d/2),"bottom"===n.my[1]?N.top-=c:"center"===n.my[1]&&(N.top-=c/2),N.left+=M[0],N.top+=M[1],a||(N.left=h(N.left),N.top=h(N.top)),s={marginLeft:f,marginTop:b},e.each(["left","top"],function(t,i){e.ui.position[k[t]]&&e.ui.position[k[t]][i](N,{targetWidth:m,targetHeight:g,elemWidth:d,elemHeight:c,collisionPosition:s,collisionWidth:D,collisionHeight:S,offset:[p[0]+M[0],p[1]+M[1]],my:n.my,at:n.at,within:x,elem:u})}),n.using&&(l=function(e){var t=v.left-N.left,i=t+m-d,s=v.top-N.top,a=s+g-c,h={target:{element:_,left:v.left,top:v.top,width:m,height:g},element:{element:u,left:N.left,top:N.top,width:d,height:c},horizontal:0>i?"left":t>0?"right":"center",vertical:0>a?"top":s>0?"bottom":"middle"};d>m&&m>r(t+i)&&(h.horizontal="center"),c>g&&g>r(s+a)&&(h.vertical="middle"),h.important=o(r(t),r(i))>o(r(s),r(a))?"horizontal":"vertical",n.using.call(this,e,h)}),u.offset(e.extend(N,{using:l}))})},e.ui.position={fit:{left:function(e,t){var i,s=t.within,n=s.isWindow?s.scrollLeft:s.offset.left,a=s.width,r=e.left-t.collisionPosition.marginLeft,h=n-r,l=r+t.collisionWidth-a-n;t.collisionWidth>a?h>0&&0>=l?(i=e.left+h+t.collisionWidth-a-n,e.left+=h-i):e.left=l>0&&0>=h?n:h>l?n+a-t.collisionWidth:n:h>0?e.left+=h:l>0?e.left-=l:e.left=o(e.left-r,e.left)},top:function(e,t){var i,s=t.within,n=s.isWindow?s.scrollTop:s.offset.top,a=t.within.height,r=e.top-t.collisionPosition.marginTop,h=n-r,l=r+t.collisionHeight-a-n;t.collisionHeight>a?h>0&&0>=l?(i=e.top+h+t.collisionHeight-a-n,e.top+=h-i):e.top=l>0&&0>=h?n:h>l?n+a-t.collisionHeight:n:h>0?e.top+=h:l>0?e.top-=l:e.top=o(e.top-r,e.top)}},flip:{left:function(e,t){var i,s,n=t.within,a=n.offset.left+n.scrollLeft,o=n.width,h=n.isWindow?n.scrollLeft:n.offset.left,l=e.left-t.collisionPosition.marginLeft,u=l-h,d=l+t.collisionWidth-o-h,c="left"===t.my[0]?-t.elemWidth:"right"===t.my[0]?t.elemWidth:0,p="left"===t.at[0]?t.targetWidth:"right"===t.at[0]?-t.targetWidth:0,f=-2*t.offset[0];0>u?(i=e.left+c+p+f+t.collisionWidth-o-a,(0>i||r(u)>i)&&(e.left+=c+p+f)):d>0&&(s=e.left-t.collisionPosition.marginLeft+c+p+f-h,(s>0||d>r(s))&&(e.left+=c+p+f))},top:function(e,t){var i,s,n=t.within,a=n.offset.top+n.scrollTop,o=n.height,h=n.isWindow?n.scrollTop:n.offset.top,l=e.top-t.collisionPosition.marginTop,u=l-h,d=l+t.collisionHeight-o-h,c="top"===t.my[1],p=c?-t.elemHeight:"bottom"===t.my[1]?t.elemHeight:0,f="top"===t.at[1]?t.targetHeight:"bottom"===t.at[1]?-t.targetHeight:0,m=-2*t.offset[1];0>u?(s=e.top+p+f+m+t.collisionHeight-o-a,(0>s||r(u)>s)&&(e.top+=p+f+m)):d>0&&(i=e.top-t.collisionPosition.marginTop+p+f+m-h,(i>0||d>r(i))&&(e.top+=p+f+m))}},flipfit:{left:function(){e.ui.position.flip.left.apply(this,arguments),e.ui.position.fit.left.apply(this,arguments)},top:function(){e.ui.position.flip.top.apply(this,arguments),e.ui.position.fit.top.apply(this,arguments)}}},function(){var t,i,s,n,o,r=document.getElementsByTagName("body")[0],h=document.createElement("div");t=document.createElement(r?"div":"body"),s={visibility:"hidden",width:0,height:0,border:0,margin:0,background:"none"},r&&e.extend(s,{position:"absolute",left:"-1000px",top:"-1000px"});for(o in s)t.style[o]=s[o];t.appendChild(h),i=r||document.documentElement,i.insertBefore(t,i.firstChild),h.style.cssText="position: absolute; left: 10.7432222px;",n=e(h).offset().left,a=n>10&&11>n,t.innerHTML="",i.removeChild(t)}()}(),e.ui.position,e.widget("ui.draggable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"drag",options:{addClasses:!0,appendTo:"parent",axis:!1,connectToSortable:!1,containment:!1,cursor:"auto",cursorAt:!1,grid:!1,handle:!1,helper:"original",iframeFix:!1,opacity:!1,refreshPositions:!1,revert:!1,revertDuration:500,scope:"default",scroll:!0,scrollSensitivity:20,scrollSpeed:20,snap:!1,snapMode:"both",snapTolerance:20,stack:!1,zIndex:!1,drag:null,start:null,stop:null},_create:function(){"original"===this.options.helper&&this._setPositionRelative(),this.options.addClasses&&this.element.addClass("ui-draggable"),this.options.disabled&&this.element.addClass("ui-draggable-disabled"),this._setHandleClassName(),this._mouseInit()},_setOption:function(e,t){this._super(e,t),"handle"===e&&(this._removeHandleClassName(),this._setHandleClassName())},_destroy:function(){return(this.helper||this.element).is(".ui-draggable-dragging")?(this.destroyOnClear=!0,void 0):(this.element.removeClass("ui-draggable ui-draggable-dragging ui-draggable-disabled"),this._removeHandleClassName(),this._mouseDestroy(),void 0)},_mouseCapture:function(t){var i=this.options;return this._blurActiveElement(t),this.helper||i.disabled||e(t.target).closest(".ui-resizable-handle").length>0?!1:(this.handle=this._getHandle(t),this.handle?(this._blockFrames(i.iframeFix===!0?"iframe":i.iframeFix),!0):!1)},_blockFrames:function(t){this.iframeBlocks=this.document.find(t).map(function(){var t=e(this);return e("<div>").css("position","absolute").appendTo(t.parent()).outerWidth(t.outerWidth()).outerHeight(t.outerHeight()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_blurActiveElement:function(t){var i=this.document[0];if(this.handleElement.is(t.target))try{i.activeElement&&"body"!==i.activeElement.nodeName.toLowerCase()&&e(i.activeElement).blur()}catch(s){}},_mouseStart:function(t){var i=this.options;return this.helper=this._createHelper(t),this.helper.addClass("ui-draggable-dragging"),this._cacheHelperProportions(),e.ui.ddmanager&&(e.ui.ddmanager.current=this),this._cacheMargins(),this.cssPosition=this.helper.css("position"),this.scrollParent=this.helper.scrollParent(!0),this.offsetParent=this.helper.offsetParent(),this.hasFixedAncestor=this.helper.parents().filter(function(){return"fixed"===e(this).css("position")}).length>0,this.positionAbs=this.element.offset(),this._refreshOffsets(t),this.originalPosition=this.position=this._generatePosition(t,!1),this.originalPageX=t.pageX,this.originalPageY=t.pageY,i.cursorAt&&this._adjustOffsetFromHelper(i.cursorAt),this._setContainment(),this._trigger("start",t)===!1?(this._clear(),!1):(this._cacheHelperProportions(),e.ui.ddmanager&&!i.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t),this._normalizeRightBottom(),this._mouseDrag(t,!0),e.ui.ddmanager&&e.ui.ddmanager.dragStart(this,t),!0)},_refreshOffsets:function(e){this.offset={top:this.positionAbs.top-this.margins.top,left:this.positionAbs.left-this.margins.left,scroll:!1,parent:this._getParentOffset(),relative:this._getRelativeOffset()},this.offset.click={left:e.pageX-this.offset.left,top:e.pageY-this.offset.top}},_mouseDrag:function(t,i){if(this.hasFixedAncestor&&(this.offset.parent=this._getParentOffset()),this.position=this._generatePosition(t,!0),this.positionAbs=this._convertPositionTo("absolute"),!i){var s=this._uiHash();if(this._trigger("drag",t,s)===!1)return this._mouseUp({}),!1;this.position=s.position}return this.helper[0].style.left=this.position.left+"px",this.helper[0].style.top=this.position.top+"px",e.ui.ddmanager&&e.ui.ddmanager.drag(this,t),!1},_mouseStop:function(t){var i=this,s=!1;return e.ui.ddmanager&&!this.options.dropBehaviour&&(s=e.ui.ddmanager.drop(this,t)),this.dropped&&(s=this.dropped,this.dropped=!1),"invalid"===this.options.revert&&!s||"valid"===this.options.revert&&s||this.options.revert===!0||e.isFunction(this.options.revert)&&this.options.revert.call(this.element,s)?e(this.helper).animate(this.originalPosition,parseInt(this.options.revertDuration,10),function(){i._trigger("stop",t)!==!1&&i._clear()}):this._trigger("stop",t)!==!1&&this._clear(),!1},_mouseUp:function(t){return this._unblockFrames(),e.ui.ddmanager&&e.ui.ddmanager.dragStop(this,t),this.handleElement.is(t.target)&&this.element.focus(),e.ui.mouse.prototype._mouseUp.call(this,t)},cancel:function(){return this.helper.is(".ui-draggable-dragging")?this._mouseUp({}):this._clear(),this},_getHandle:function(t){return this.options.handle?!!e(t.target).closest(this.element.find(this.options.handle)).length:!0},_setHandleClassName:function(){this.handleElement=this.options.handle?this.element.find(this.options.handle):this.element,this.handleElement.addClass("ui-draggable-handle")},_removeHandleClassName:function(){this.handleElement.removeClass("ui-draggable-handle")},_createHelper:function(t){var i=this.options,s=e.isFunction(i.helper),n=s?e(i.helper.apply(this.element[0],[t])):"clone"===i.helper?this.element.clone().removeAttr("id"):this.element;return n.parents("body").length||n.appendTo("parent"===i.appendTo?this.element[0].parentNode:i.appendTo),s&&n[0]===this.element[0]&&this._setPositionRelative(),n[0]===this.element[0]||/(fixed|absolute)/.test(n.css("position"))||n.css("position","absolute"),n},_setPositionRelative:function(){/^(?:r|a|f)/.test(this.element.css("position"))||(this.element[0].style.position="relative")},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),e.isArray(t)&&(t={left:+t[0],top:+t[1]||0}),"left"in t&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_isRootNode:function(e){return/(html|body)/i.test(e.tagName)||e===this.document[0]},_getParentOffset:function(){var t=this.offsetParent.offset(),i=this.document[0];return"absolute"===this.cssPosition&&this.scrollParent[0]!==i&&e.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),this._isRootNode(this.offsetParent[0])&&(t={top:0,left:0}),{top:t.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"!==this.cssPosition)return{top:0,left:0};var e=this.element.position(),t=this._isRootNode(this.scrollParent[0]);return{top:e.top-(parseInt(this.helper.css("top"),10)||0)+(t?0:this.scrollParent.scrollTop()),left:e.left-(parseInt(this.helper.css("left"),10)||0)+(t?0:this.scrollParent.scrollLeft())}},_cacheMargins:function(){this.margins={left:parseInt(this.element.css("marginLeft"),10)||0,top:parseInt(this.element.css("marginTop"),10)||0,right:parseInt(this.element.css("marginRight"),10)||0,bottom:parseInt(this.element.css("marginBottom"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,i,s,n=this.options,a=this.document[0];return this.relativeContainer=null,n.containment?"window"===n.containment?(this.containment=[e(window).scrollLeft()-this.offset.relative.left-this.offset.parent.left,e(window).scrollTop()-this.offset.relative.top-this.offset.parent.top,e(window).scrollLeft()+e(window).width()-this.helperProportions.width-this.margins.left,e(window).scrollTop()+(e(window).height()||a.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top],void 0):"document"===n.containment?(this.containment=[0,0,e(a).width()-this.helperProportions.width-this.margins.left,(e(a).height()||a.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top],void 0):n.containment.constructor===Array?(this.containment=n.containment,void 0):("parent"===n.containment&&(n.containment=this.helper[0].parentNode),i=e(n.containment),s=i[0],s&&(t=/(scroll|auto)/.test(i.css("overflow")),this.containment=[(parseInt(i.css("borderLeftWidth"),10)||0)+(parseInt(i.css("paddingLeft"),10)||0),(parseInt(i.css("borderTopWidth"),10)||0)+(parseInt(i.css("paddingTop"),10)||0),(t?Math.max(s.scrollWidth,s.offsetWidth):s.offsetWidth)-(parseInt(i.css("borderRightWidth"),10)||0)-(parseInt(i.css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left-this.margins.right,(t?Math.max(s.scrollHeight,s.offsetHeight):s.offsetHeight)-(parseInt(i.css("borderBottomWidth"),10)||0)-(parseInt(i.css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top-this.margins.bottom],this.relativeContainer=i),void 0):(this.containment=null,void 0)},_convertPositionTo:function(e,t){t||(t=this.position);var i="absolute"===e?1:-1,s=this._isRootNode(this.scrollParent[0]);return{top:t.top+this.offset.relative.top*i+this.offset.parent.top*i-("fixed"===this.cssPosition?-this.offset.scroll.top:s?0:this.offset.scroll.top)*i,left:t.left+this.offset.relative.left*i+this.offset.parent.left*i-("fixed"===this.cssPosition?-this.offset.scroll.left:s?0:this.offset.scroll.left)*i}},_generatePosition:function(e,t){var i,s,n,a,o=this.options,r=this._isRootNode(this.scrollParent[0]),h=e.pageX,l=e.pageY;return r&&this.offset.scroll||(this.offset.scroll={top:this.scrollParent.scrollTop(),left:this.scrollParent.scrollLeft()}),t&&(this.containment&&(this.relativeContainer?(s=this.relativeContainer.offset(),i=[this.containment[0]+s.left,this.containment[1]+s.top,this.containment[2]+s.left,this.containment[3]+s.top]):i=this.containment,e.pageX-this.offset.click.left<i[0]&&(h=i[0]+this.offset.click.left),e.pageY-this.offset.click.top<i[1]&&(l=i[1]+this.offset.click.top),e.pageX-this.offset.click.left>i[2]&&(h=i[2]+this.offset.click.left),e.pageY-this.offset.click.top>i[3]&&(l=i[3]+this.offset.click.top)),o.grid&&(n=o.grid[1]?this.originalPageY+Math.round((l-this.originalPageY)/o.grid[1])*o.grid[1]:this.originalPageY,l=i?n-this.offset.click.top>=i[1]||n-this.offset.click.top>i[3]?n:n-this.offset.click.top>=i[1]?n-o.grid[1]:n+o.grid[1]:n,a=o.grid[0]?this.originalPageX+Math.round((h-this.originalPageX)/o.grid[0])*o.grid[0]:this.originalPageX,h=i?a-this.offset.click.left>=i[0]||a-this.offset.click.left>i[2]?a:a-this.offset.click.left>=i[0]?a-o.grid[0]:a+o.grid[0]:a),"y"===o.axis&&(h=this.originalPageX),"x"===o.axis&&(l=this.originalPageY)),{top:l-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.offset.scroll.top:r?0:this.offset.scroll.top),left:h-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.offset.scroll.left:r?0:this.offset.scroll.left)}},_clear:function(){this.helper.removeClass("ui-draggable-dragging"),this.helper[0]===this.element[0]||this.cancelHelperRemoval||this.helper.remove(),this.helper=null,this.cancelHelperRemoval=!1,this.destroyOnClear&&this.destroy()},_normalizeRightBottom:function(){"y"!==this.options.axis&&"auto"!==this.helper.css("right")&&(this.helper.width(this.helper.width()),this.helper.css("right","auto")),"x"!==this.options.axis&&"auto"!==this.helper.css("bottom")&&(this.helper.height(this.helper.height()),this.helper.css("bottom","auto"))},_trigger:function(t,i,s){return s=s||this._uiHash(),e.ui.plugin.call(this,t,[i,s,this],!0),/^(drag|start|stop)/.test(t)&&(this.positionAbs=this._convertPositionTo("absolute"),s.offset=this.positionAbs),e.Widget.prototype._trigger.call(this,t,i,s)},plugins:{},_uiHash:function(){return{helper:this.helper,position:this.position,originalPosition:this.originalPosition,offset:this.positionAbs}}}),e.ui.plugin.add("draggable","connectToSortable",{start:function(t,i,s){var n=e.extend({},i,{item:s.element});s.sortables=[],e(s.options.connectToSortable).each(function(){var i=e(this).sortable("instance");i&&!i.options.disabled&&(s.sortables.push(i),i.refreshPositions(),i._trigger("activate",t,n))})},stop:function(t,i,s){var n=e.extend({},i,{item:s.element});s.cancelHelperRemoval=!1,e.each(s.sortables,function(){var e=this;e.isOver?(e.isOver=0,s.cancelHelperRemoval=!0,e.cancelHelperRemoval=!1,e._storedCSS={position:e.placeholder.css("position"),top:e.placeholder.css("top"),left:e.placeholder.css("left")},e._mouseStop(t),e.options.helper=e.options._helper):(e.cancelHelperRemoval=!0,e._trigger("deactivate",t,n))})},drag:function(t,i,s){e.each(s.sortables,function(){var n=!1,a=this;a.positionAbs=s.positionAbs,a.helperProportions=s.helperProportions,a.offset.click=s.offset.click,a._intersectsWith(a.containerCache)&&(n=!0,e.each(s.sortables,function(){return this.positionAbs=s.positionAbs,this.helperProportions=s.helperProportions,this.offset.click=s.offset.click,this!==a&&this._intersectsWith(this.containerCache)&&e.contains(a.element[0],this.element[0])&&(n=!1),n +})),n?(a.isOver||(a.isOver=1,s._parent=i.helper.parent(),a.currentItem=i.helper.appendTo(a.element).data("ui-sortable-item",!0),a.options._helper=a.options.helper,a.options.helper=function(){return i.helper[0]},t.target=a.currentItem[0],a._mouseCapture(t,!0),a._mouseStart(t,!0,!0),a.offset.click.top=s.offset.click.top,a.offset.click.left=s.offset.click.left,a.offset.parent.left-=s.offset.parent.left-a.offset.parent.left,a.offset.parent.top-=s.offset.parent.top-a.offset.parent.top,s._trigger("toSortable",t),s.dropped=a.element,e.each(s.sortables,function(){this.refreshPositions()}),s.currentItem=s.element,a.fromOutside=s),a.currentItem&&(a._mouseDrag(t),i.position=a.position)):a.isOver&&(a.isOver=0,a.cancelHelperRemoval=!0,a.options._revert=a.options.revert,a.options.revert=!1,a._trigger("out",t,a._uiHash(a)),a._mouseStop(t,!0),a.options.revert=a.options._revert,a.options.helper=a.options._helper,a.placeholder&&a.placeholder.remove(),i.helper.appendTo(s._parent),s._refreshOffsets(t),i.position=s._generatePosition(t,!0),s._trigger("fromSortable",t),s.dropped=!1,e.each(s.sortables,function(){this.refreshPositions()}))})}}),e.ui.plugin.add("draggable","cursor",{start:function(t,i,s){var n=e("body"),a=s.options;n.css("cursor")&&(a._cursor=n.css("cursor")),n.css("cursor",a.cursor)},stop:function(t,i,s){var n=s.options;n._cursor&&e("body").css("cursor",n._cursor)}}),e.ui.plugin.add("draggable","opacity",{start:function(t,i,s){var n=e(i.helper),a=s.options;n.css("opacity")&&(a._opacity=n.css("opacity")),n.css("opacity",a.opacity)},stop:function(t,i,s){var n=s.options;n._opacity&&e(i.helper).css("opacity",n._opacity)}}),e.ui.plugin.add("draggable","scroll",{start:function(e,t,i){i.scrollParentNotHidden||(i.scrollParentNotHidden=i.helper.scrollParent(!1)),i.scrollParentNotHidden[0]!==i.document[0]&&"HTML"!==i.scrollParentNotHidden[0].tagName&&(i.overflowOffset=i.scrollParentNotHidden.offset())},drag:function(t,i,s){var n=s.options,a=!1,o=s.scrollParentNotHidden[0],r=s.document[0];o!==r&&"HTML"!==o.tagName?(n.axis&&"x"===n.axis||(s.overflowOffset.top+o.offsetHeight-t.pageY<n.scrollSensitivity?o.scrollTop=a=o.scrollTop+n.scrollSpeed:t.pageY-s.overflowOffset.top<n.scrollSensitivity&&(o.scrollTop=a=o.scrollTop-n.scrollSpeed)),n.axis&&"y"===n.axis||(s.overflowOffset.left+o.offsetWidth-t.pageX<n.scrollSensitivity?o.scrollLeft=a=o.scrollLeft+n.scrollSpeed:t.pageX-s.overflowOffset.left<n.scrollSensitivity&&(o.scrollLeft=a=o.scrollLeft-n.scrollSpeed))):(n.axis&&"x"===n.axis||(t.pageY-e(r).scrollTop()<n.scrollSensitivity?a=e(r).scrollTop(e(r).scrollTop()-n.scrollSpeed):e(window).height()-(t.pageY-e(r).scrollTop())<n.scrollSensitivity&&(a=e(r).scrollTop(e(r).scrollTop()+n.scrollSpeed))),n.axis&&"y"===n.axis||(t.pageX-e(r).scrollLeft()<n.scrollSensitivity?a=e(r).scrollLeft(e(r).scrollLeft()-n.scrollSpeed):e(window).width()-(t.pageX-e(r).scrollLeft())<n.scrollSensitivity&&(a=e(r).scrollLeft(e(r).scrollLeft()+n.scrollSpeed)))),a!==!1&&e.ui.ddmanager&&!n.dropBehaviour&&e.ui.ddmanager.prepareOffsets(s,t)}}),e.ui.plugin.add("draggable","snap",{start:function(t,i,s){var n=s.options;s.snapElements=[],e(n.snap.constructor!==String?n.snap.items||":data(ui-draggable)":n.snap).each(function(){var t=e(this),i=t.offset();this!==s.element[0]&&s.snapElements.push({item:this,width:t.outerWidth(),height:t.outerHeight(),top:i.top,left:i.left})})},drag:function(t,i,s){var n,a,o,r,h,l,u,d,c,p,f=s.options,m=f.snapTolerance,g=i.offset.left,v=g+s.helperProportions.width,y=i.offset.top,b=y+s.helperProportions.height;for(c=s.snapElements.length-1;c>=0;c--)h=s.snapElements[c].left-s.margins.left,l=h+s.snapElements[c].width,u=s.snapElements[c].top-s.margins.top,d=u+s.snapElements[c].height,h-m>v||g>l+m||u-m>b||y>d+m||!e.contains(s.snapElements[c].item.ownerDocument,s.snapElements[c].item)?(s.snapElements[c].snapping&&s.options.snap.release&&s.options.snap.release.call(s.element,t,e.extend(s._uiHash(),{snapItem:s.snapElements[c].item})),s.snapElements[c].snapping=!1):("inner"!==f.snapMode&&(n=m>=Math.abs(u-b),a=m>=Math.abs(d-y),o=m>=Math.abs(h-v),r=m>=Math.abs(l-g),n&&(i.position.top=s._convertPositionTo("relative",{top:u-s.helperProportions.height,left:0}).top),a&&(i.position.top=s._convertPositionTo("relative",{top:d,left:0}).top),o&&(i.position.left=s._convertPositionTo("relative",{top:0,left:h-s.helperProportions.width}).left),r&&(i.position.left=s._convertPositionTo("relative",{top:0,left:l}).left)),p=n||a||o||r,"outer"!==f.snapMode&&(n=m>=Math.abs(u-y),a=m>=Math.abs(d-b),o=m>=Math.abs(h-g),r=m>=Math.abs(l-v),n&&(i.position.top=s._convertPositionTo("relative",{top:u,left:0}).top),a&&(i.position.top=s._convertPositionTo("relative",{top:d-s.helperProportions.height,left:0}).top),o&&(i.position.left=s._convertPositionTo("relative",{top:0,left:h}).left),r&&(i.position.left=s._convertPositionTo("relative",{top:0,left:l-s.helperProportions.width}).left)),!s.snapElements[c].snapping&&(n||a||o||r||p)&&s.options.snap.snap&&s.options.snap.snap.call(s.element,t,e.extend(s._uiHash(),{snapItem:s.snapElements[c].item})),s.snapElements[c].snapping=n||a||o||r||p)}}),e.ui.plugin.add("draggable","stack",{start:function(t,i,s){var n,a=s.options,o=e.makeArray(e(a.stack)).sort(function(t,i){return(parseInt(e(t).css("zIndex"),10)||0)-(parseInt(e(i).css("zIndex"),10)||0)});o.length&&(n=parseInt(e(o[0]).css("zIndex"),10)||0,e(o).each(function(t){e(this).css("zIndex",n+t)}),this.css("zIndex",n+o.length))}}),e.ui.plugin.add("draggable","zIndex",{start:function(t,i,s){var n=e(i.helper),a=s.options;n.css("zIndex")&&(a._zIndex=n.css("zIndex")),n.css("zIndex",a.zIndex)},stop:function(t,i,s){var n=s.options;n._zIndex&&e(i.helper).css("zIndex",n._zIndex)}}),e.ui.draggable,e.widget("ui.droppable",{version:"1.11.4",widgetEventPrefix:"drop",options:{accept:"*",activeClass:!1,addClasses:!0,greedy:!1,hoverClass:!1,scope:"default",tolerance:"intersect",activate:null,deactivate:null,drop:null,out:null,over:null},_create:function(){var t,i=this.options,s=i.accept;this.isover=!1,this.isout=!0,this.accept=e.isFunction(s)?s:function(e){return e.is(s)},this.proportions=function(){return arguments.length?(t=arguments[0],void 0):t?t:t={width:this.element[0].offsetWidth,height:this.element[0].offsetHeight}},this._addToManager(i.scope),i.addClasses&&this.element.addClass("ui-droppable")},_addToManager:function(t){e.ui.ddmanager.droppables[t]=e.ui.ddmanager.droppables[t]||[],e.ui.ddmanager.droppables[t].push(this)},_splice:function(e){for(var t=0;e.length>t;t++)e[t]===this&&e.splice(t,1)},_destroy:function(){var t=e.ui.ddmanager.droppables[this.options.scope];this._splice(t),this.element.removeClass("ui-droppable ui-droppable-disabled")},_setOption:function(t,i){if("accept"===t)this.accept=e.isFunction(i)?i:function(e){return e.is(i)};else if("scope"===t){var s=e.ui.ddmanager.droppables[this.options.scope];this._splice(s),this._addToManager(i)}this._super(t,i)},_activate:function(t){var i=e.ui.ddmanager.current;this.options.activeClass&&this.element.addClass(this.options.activeClass),i&&this._trigger("activate",t,this.ui(i))},_deactivate:function(t){var i=e.ui.ddmanager.current;this.options.activeClass&&this.element.removeClass(this.options.activeClass),i&&this._trigger("deactivate",t,this.ui(i))},_over:function(t){var i=e.ui.ddmanager.current;i&&(i.currentItem||i.element)[0]!==this.element[0]&&this.accept.call(this.element[0],i.currentItem||i.element)&&(this.options.hoverClass&&this.element.addClass(this.options.hoverClass),this._trigger("over",t,this.ui(i)))},_out:function(t){var i=e.ui.ddmanager.current;i&&(i.currentItem||i.element)[0]!==this.element[0]&&this.accept.call(this.element[0],i.currentItem||i.element)&&(this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("out",t,this.ui(i)))},_drop:function(t,i){var s=i||e.ui.ddmanager.current,n=!1;return s&&(s.currentItem||s.element)[0]!==this.element[0]?(this.element.find(":data(ui-droppable)").not(".ui-draggable-dragging").each(function(){var i=e(this).droppable("instance");return i.options.greedy&&!i.options.disabled&&i.options.scope===s.options.scope&&i.accept.call(i.element[0],s.currentItem||s.element)&&e.ui.intersect(s,e.extend(i,{offset:i.element.offset()}),i.options.tolerance,t)?(n=!0,!1):void 0}),n?!1:this.accept.call(this.element[0],s.currentItem||s.element)?(this.options.activeClass&&this.element.removeClass(this.options.activeClass),this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("drop",t,this.ui(s)),this.element):!1):!1},ui:function(e){return{draggable:e.currentItem||e.element,helper:e.helper,position:e.position,offset:e.positionAbs}}}),e.ui.intersect=function(){function e(e,t,i){return e>=t&&t+i>e}return function(t,i,s,n){if(!i.offset)return!1;var a=(t.positionAbs||t.position.absolute).left+t.margins.left,o=(t.positionAbs||t.position.absolute).top+t.margins.top,r=a+t.helperProportions.width,h=o+t.helperProportions.height,l=i.offset.left,u=i.offset.top,d=l+i.proportions().width,c=u+i.proportions().height;switch(s){case"fit":return a>=l&&d>=r&&o>=u&&c>=h;case"intersect":return a+t.helperProportions.width/2>l&&d>r-t.helperProportions.width/2&&o+t.helperProportions.height/2>u&&c>h-t.helperProportions.height/2;case"pointer":return e(n.pageY,u,i.proportions().height)&&e(n.pageX,l,i.proportions().width);case"touch":return(o>=u&&c>=o||h>=u&&c>=h||u>o&&h>c)&&(a>=l&&d>=a||r>=l&&d>=r||l>a&&r>d);default:return!1}}}(),e.ui.ddmanager={current:null,droppables:{"default":[]},prepareOffsets:function(t,i){var s,n,a=e.ui.ddmanager.droppables[t.options.scope]||[],o=i?i.type:null,r=(t.currentItem||t.element).find(":data(ui-droppable)").addBack();e:for(s=0;a.length>s;s++)if(!(a[s].options.disabled||t&&!a[s].accept.call(a[s].element[0],t.currentItem||t.element))){for(n=0;r.length>n;n++)if(r[n]===a[s].element[0]){a[s].proportions().height=0;continue e}a[s].visible="none"!==a[s].element.css("display"),a[s].visible&&("mousedown"===o&&a[s]._activate.call(a[s],i),a[s].offset=a[s].element.offset(),a[s].proportions({width:a[s].element[0].offsetWidth,height:a[s].element[0].offsetHeight}))}},drop:function(t,i){var s=!1;return e.each((e.ui.ddmanager.droppables[t.options.scope]||[]).slice(),function(){this.options&&(!this.options.disabled&&this.visible&&e.ui.intersect(t,this,this.options.tolerance,i)&&(s=this._drop.call(this,i)||s),!this.options.disabled&&this.visible&&this.accept.call(this.element[0],t.currentItem||t.element)&&(this.isout=!0,this.isover=!1,this._deactivate.call(this,i)))}),s},dragStart:function(t,i){t.element.parentsUntil("body").bind("scroll.droppable",function(){t.options.refreshPositions||e.ui.ddmanager.prepareOffsets(t,i)})},drag:function(t,i){t.options.refreshPositions&&e.ui.ddmanager.prepareOffsets(t,i),e.each(e.ui.ddmanager.droppables[t.options.scope]||[],function(){if(!this.options.disabled&&!this.greedyChild&&this.visible){var s,n,a,o=e.ui.intersect(t,this,this.options.tolerance,i),r=!o&&this.isover?"isout":o&&!this.isover?"isover":null;r&&(this.options.greedy&&(n=this.options.scope,a=this.element.parents(":data(ui-droppable)").filter(function(){return e(this).droppable("instance").options.scope===n}),a.length&&(s=e(a[0]).droppable("instance"),s.greedyChild="isover"===r)),s&&"isover"===r&&(s.isover=!1,s.isout=!0,s._out.call(s,i)),this[r]=!0,this["isout"===r?"isover":"isout"]=!1,this["isover"===r?"_over":"_out"].call(this,i),s&&"isout"===r&&(s.isout=!1,s.isover=!0,s._over.call(s,i)))}})},dragStop:function(t,i){t.element.parentsUntil("body").unbind("scroll.droppable"),t.options.refreshPositions||e.ui.ddmanager.prepareOffsets(t,i)}},e.ui.droppable,e.widget("ui.resizable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"resize",options:{alsoResize:!1,animate:!1,animateDuration:"slow",animateEasing:"swing",aspectRatio:!1,autoHide:!1,containment:!1,ghost:!1,grid:!1,handles:"e,s,se",helper:!1,maxHeight:null,maxWidth:null,minHeight:10,minWidth:10,zIndex:90,resize:null,start:null,stop:null},_num:function(e){return parseInt(e,10)||0},_isNumber:function(e){return!isNaN(parseInt(e,10))},_hasScroll:function(t,i){if("hidden"===e(t).css("overflow"))return!1;var s=i&&"left"===i?"scrollLeft":"scrollTop",n=!1;return t[s]>0?!0:(t[s]=1,n=t[s]>0,t[s]=0,n)},_create:function(){var t,i,s,n,a,o=this,r=this.options;if(this.element.addClass("ui-resizable"),e.extend(this,{_aspectRatio:!!r.aspectRatio,aspectRatio:r.aspectRatio,originalElement:this.element,_proportionallyResizeElements:[],_helper:r.helper||r.ghost||r.animate?r.helper||"ui-resizable-helper":null}),this.element[0].nodeName.match(/^(canvas|textarea|input|select|button|img)$/i)&&(this.element.wrap(e("<div class='ui-wrapper' style='overflow: hidden;'></div>").css({position:this.element.css("position"),width:this.element.outerWidth(),height:this.element.outerHeight(),top:this.element.css("top"),left:this.element.css("left")})),this.element=this.element.parent().data("ui-resizable",this.element.resizable("instance")),this.elementIsWrapper=!0,this.element.css({marginLeft:this.originalElement.css("marginLeft"),marginTop:this.originalElement.css("marginTop"),marginRight:this.originalElement.css("marginRight"),marginBottom:this.originalElement.css("marginBottom")}),this.originalElement.css({marginLeft:0,marginTop:0,marginRight:0,marginBottom:0}),this.originalResizeStyle=this.originalElement.css("resize"),this.originalElement.css("resize","none"),this._proportionallyResizeElements.push(this.originalElement.css({position:"static",zoom:1,display:"block"})),this.originalElement.css({margin:this.originalElement.css("margin")}),this._proportionallyResize()),this.handles=r.handles||(e(".ui-resizable-handle",this.element).length?{n:".ui-resizable-n",e:".ui-resizable-e",s:".ui-resizable-s",w:".ui-resizable-w",se:".ui-resizable-se",sw:".ui-resizable-sw",ne:".ui-resizable-ne",nw:".ui-resizable-nw"}:"e,s,se"),this._handles=e(),this.handles.constructor===String)for("all"===this.handles&&(this.handles="n,e,s,w,se,sw,ne,nw"),t=this.handles.split(","),this.handles={},i=0;t.length>i;i++)s=e.trim(t[i]),a="ui-resizable-"+s,n=e("<div class='ui-resizable-handle "+a+"'></div>"),n.css({zIndex:r.zIndex}),"se"===s&&n.addClass("ui-icon ui-icon-gripsmall-diagonal-se"),this.handles[s]=".ui-resizable-"+s,this.element.append(n);this._renderAxis=function(t){var i,s,n,a;t=t||this.element;for(i in this.handles)this.handles[i].constructor===String?this.handles[i]=this.element.children(this.handles[i]).first().show():(this.handles[i].jquery||this.handles[i].nodeType)&&(this.handles[i]=e(this.handles[i]),this._on(this.handles[i],{mousedown:o._mouseDown})),this.elementIsWrapper&&this.originalElement[0].nodeName.match(/^(textarea|input|select|button)$/i)&&(s=e(this.handles[i],this.element),a=/sw|ne|nw|se|n|s/.test(i)?s.outerHeight():s.outerWidth(),n=["padding",/ne|nw|n/.test(i)?"Top":/se|sw|s/.test(i)?"Bottom":/^e$/.test(i)?"Right":"Left"].join(""),t.css(n,a),this._proportionallyResize()),this._handles=this._handles.add(this.handles[i])},this._renderAxis(this.element),this._handles=this._handles.add(this.element.find(".ui-resizable-handle")),this._handles.disableSelection(),this._handles.mouseover(function(){o.resizing||(this.className&&(n=this.className.match(/ui-resizable-(se|sw|ne|nw|n|e|s|w)/i)),o.axis=n&&n[1]?n[1]:"se")}),r.autoHide&&(this._handles.hide(),e(this.element).addClass("ui-resizable-autohide").mouseenter(function(){r.disabled||(e(this).removeClass("ui-resizable-autohide"),o._handles.show())}).mouseleave(function(){r.disabled||o.resizing||(e(this).addClass("ui-resizable-autohide"),o._handles.hide())})),this._mouseInit()},_destroy:function(){this._mouseDestroy();var t,i=function(t){e(t).removeClass("ui-resizable ui-resizable-disabled ui-resizable-resizing").removeData("resizable").removeData("ui-resizable").unbind(".resizable").find(".ui-resizable-handle").remove()};return this.elementIsWrapper&&(i(this.element),t=this.element,this.originalElement.css({position:t.css("position"),width:t.outerWidth(),height:t.outerHeight(),top:t.css("top"),left:t.css("left")}).insertAfter(t),t.remove()),this.originalElement.css("resize",this.originalResizeStyle),i(this.originalElement),this},_mouseCapture:function(t){var i,s,n=!1;for(i in this.handles)s=e(this.handles[i])[0],(s===t.target||e.contains(s,t.target))&&(n=!0);return!this.options.disabled&&n},_mouseStart:function(t){var i,s,n,a=this.options,o=this.element;return this.resizing=!0,this._renderProxy(),i=this._num(this.helper.css("left")),s=this._num(this.helper.css("top")),a.containment&&(i+=e(a.containment).scrollLeft()||0,s+=e(a.containment).scrollTop()||0),this.offset=this.helper.offset(),this.position={left:i,top:s},this.size=this._helper?{width:this.helper.width(),height:this.helper.height()}:{width:o.width(),height:o.height()},this.originalSize=this._helper?{width:o.outerWidth(),height:o.outerHeight()}:{width:o.width(),height:o.height()},this.sizeDiff={width:o.outerWidth()-o.width(),height:o.outerHeight()-o.height()},this.originalPosition={left:i,top:s},this.originalMousePosition={left:t.pageX,top:t.pageY},this.aspectRatio="number"==typeof a.aspectRatio?a.aspectRatio:this.originalSize.width/this.originalSize.height||1,n=e(".ui-resizable-"+this.axis).css("cursor"),e("body").css("cursor","auto"===n?this.axis+"-resize":n),o.addClass("ui-resizable-resizing"),this._propagate("start",t),!0},_mouseDrag:function(t){var i,s,n=this.originalMousePosition,a=this.axis,o=t.pageX-n.left||0,r=t.pageY-n.top||0,h=this._change[a];return this._updatePrevProperties(),h?(i=h.apply(this,[t,o,r]),this._updateVirtualBoundaries(t.shiftKey),(this._aspectRatio||t.shiftKey)&&(i=this._updateRatio(i,t)),i=this._respectSize(i,t),this._updateCache(i),this._propagate("resize",t),s=this._applyChanges(),!this._helper&&this._proportionallyResizeElements.length&&this._proportionallyResize(),e.isEmptyObject(s)||(this._updatePrevProperties(),this._trigger("resize",t,this.ui()),this._applyChanges()),!1):!1},_mouseStop:function(t){this.resizing=!1;var i,s,n,a,o,r,h,l=this.options,u=this;return this._helper&&(i=this._proportionallyResizeElements,s=i.length&&/textarea/i.test(i[0].nodeName),n=s&&this._hasScroll(i[0],"left")?0:u.sizeDiff.height,a=s?0:u.sizeDiff.width,o={width:u.helper.width()-a,height:u.helper.height()-n},r=parseInt(u.element.css("left"),10)+(u.position.left-u.originalPosition.left)||null,h=parseInt(u.element.css("top"),10)+(u.position.top-u.originalPosition.top)||null,l.animate||this.element.css(e.extend(o,{top:h,left:r})),u.helper.height(u.size.height),u.helper.width(u.size.width),this._helper&&!l.animate&&this._proportionallyResize()),e("body").css("cursor","auto"),this.element.removeClass("ui-resizable-resizing"),this._propagate("stop",t),this._helper&&this.helper.remove(),!1},_updatePrevProperties:function(){this.prevPosition={top:this.position.top,left:this.position.left},this.prevSize={width:this.size.width,height:this.size.height}},_applyChanges:function(){var e={};return this.position.top!==this.prevPosition.top&&(e.top=this.position.top+"px"),this.position.left!==this.prevPosition.left&&(e.left=this.position.left+"px"),this.size.width!==this.prevSize.width&&(e.width=this.size.width+"px"),this.size.height!==this.prevSize.height&&(e.height=this.size.height+"px"),this.helper.css(e),e},_updateVirtualBoundaries:function(e){var t,i,s,n,a,o=this.options;a={minWidth:this._isNumber(o.minWidth)?o.minWidth:0,maxWidth:this._isNumber(o.maxWidth)?o.maxWidth:1/0,minHeight:this._isNumber(o.minHeight)?o.minHeight:0,maxHeight:this._isNumber(o.maxHeight)?o.maxHeight:1/0},(this._aspectRatio||e)&&(t=a.minHeight*this.aspectRatio,s=a.minWidth/this.aspectRatio,i=a.maxHeight*this.aspectRatio,n=a.maxWidth/this.aspectRatio,t>a.minWidth&&(a.minWidth=t),s>a.minHeight&&(a.minHeight=s),a.maxWidth>i&&(a.maxWidth=i),a.maxHeight>n&&(a.maxHeight=n)),this._vBoundaries=a},_updateCache:function(e){this.offset=this.helper.offset(),this._isNumber(e.left)&&(this.position.left=e.left),this._isNumber(e.top)&&(this.position.top=e.top),this._isNumber(e.height)&&(this.size.height=e.height),this._isNumber(e.width)&&(this.size.width=e.width)},_updateRatio:function(e){var t=this.position,i=this.size,s=this.axis;return this._isNumber(e.height)?e.width=e.height*this.aspectRatio:this._isNumber(e.width)&&(e.height=e.width/this.aspectRatio),"sw"===s&&(e.left=t.left+(i.width-e.width),e.top=null),"nw"===s&&(e.top=t.top+(i.height-e.height),e.left=t.left+(i.width-e.width)),e},_respectSize:function(e){var t=this._vBoundaries,i=this.axis,s=this._isNumber(e.width)&&t.maxWidth&&t.maxWidth<e.width,n=this._isNumber(e.height)&&t.maxHeight&&t.maxHeight<e.height,a=this._isNumber(e.width)&&t.minWidth&&t.minWidth>e.width,o=this._isNumber(e.height)&&t.minHeight&&t.minHeight>e.height,r=this.originalPosition.left+this.originalSize.width,h=this.position.top+this.size.height,l=/sw|nw|w/.test(i),u=/nw|ne|n/.test(i);return a&&(e.width=t.minWidth),o&&(e.height=t.minHeight),s&&(e.width=t.maxWidth),n&&(e.height=t.maxHeight),a&&l&&(e.left=r-t.minWidth),s&&l&&(e.left=r-t.maxWidth),o&&u&&(e.top=h-t.minHeight),n&&u&&(e.top=h-t.maxHeight),e.width||e.height||e.left||!e.top?e.width||e.height||e.top||!e.left||(e.left=null):e.top=null,e},_getPaddingPlusBorderDimensions:function(e){for(var t=0,i=[],s=[e.css("borderTopWidth"),e.css("borderRightWidth"),e.css("borderBottomWidth"),e.css("borderLeftWidth")],n=[e.css("paddingTop"),e.css("paddingRight"),e.css("paddingBottom"),e.css("paddingLeft")];4>t;t++)i[t]=parseInt(s[t],10)||0,i[t]+=parseInt(n[t],10)||0;return{height:i[0]+i[2],width:i[1]+i[3]}},_proportionallyResize:function(){if(this._proportionallyResizeElements.length)for(var e,t=0,i=this.helper||this.element;this._proportionallyResizeElements.length>t;t++)e=this._proportionallyResizeElements[t],this.outerDimensions||(this.outerDimensions=this._getPaddingPlusBorderDimensions(e)),e.css({height:i.height()-this.outerDimensions.height||0,width:i.width()-this.outerDimensions.width||0})},_renderProxy:function(){var t=this.element,i=this.options;this.elementOffset=t.offset(),this._helper?(this.helper=this.helper||e("<div style='overflow:hidden;'></div>"),this.helper.addClass(this._helper).css({width:this.element.outerWidth()-1,height:this.element.outerHeight()-1,position:"absolute",left:this.elementOffset.left+"px",top:this.elementOffset.top+"px",zIndex:++i.zIndex}),this.helper.appendTo("body").disableSelection()):this.helper=this.element},_change:{e:function(e,t){return{width:this.originalSize.width+t}},w:function(e,t){var i=this.originalSize,s=this.originalPosition;return{left:s.left+t,width:i.width-t}},n:function(e,t,i){var s=this.originalSize,n=this.originalPosition;return{top:n.top+i,height:s.height-i}},s:function(e,t,i){return{height:this.originalSize.height+i}},se:function(t,i,s){return e.extend(this._change.s.apply(this,arguments),this._change.e.apply(this,[t,i,s]))},sw:function(t,i,s){return e.extend(this._change.s.apply(this,arguments),this._change.w.apply(this,[t,i,s]))},ne:function(t,i,s){return e.extend(this._change.n.apply(this,arguments),this._change.e.apply(this,[t,i,s]))},nw:function(t,i,s){return e.extend(this._change.n.apply(this,arguments),this._change.w.apply(this,[t,i,s]))}},_propagate:function(t,i){e.ui.plugin.call(this,t,[i,this.ui()]),"resize"!==t&&this._trigger(t,i,this.ui())},plugins:{},ui:function(){return{originalElement:this.originalElement,element:this.element,helper:this.helper,position:this.position,size:this.size,originalSize:this.originalSize,originalPosition:this.originalPosition}}}),e.ui.plugin.add("resizable","animate",{stop:function(t){var i=e(this).resizable("instance"),s=i.options,n=i._proportionallyResizeElements,a=n.length&&/textarea/i.test(n[0].nodeName),o=a&&i._hasScroll(n[0],"left")?0:i.sizeDiff.height,r=a?0:i.sizeDiff.width,h={width:i.size.width-r,height:i.size.height-o},l=parseInt(i.element.css("left"),10)+(i.position.left-i.originalPosition.left)||null,u=parseInt(i.element.css("top"),10)+(i.position.top-i.originalPosition.top)||null;i.element.animate(e.extend(h,u&&l?{top:u,left:l}:{}),{duration:s.animateDuration,easing:s.animateEasing,step:function(){var s={width:parseInt(i.element.css("width"),10),height:parseInt(i.element.css("height"),10),top:parseInt(i.element.css("top"),10),left:parseInt(i.element.css("left"),10)};n&&n.length&&e(n[0]).css({width:s.width,height:s.height}),i._updateCache(s),i._propagate("resize",t)}})}}),e.ui.plugin.add("resizable","containment",{start:function(){var t,i,s,n,a,o,r,h=e(this).resizable("instance"),l=h.options,u=h.element,d=l.containment,c=d instanceof e?d.get(0):/parent/.test(d)?u.parent().get(0):d;c&&(h.containerElement=e(c),/document/.test(d)||d===document?(h.containerOffset={left:0,top:0},h.containerPosition={left:0,top:0},h.parentData={element:e(document),left:0,top:0,width:e(document).width(),height:e(document).height()||document.body.parentNode.scrollHeight}):(t=e(c),i=[],e(["Top","Right","Left","Bottom"]).each(function(e,s){i[e]=h._num(t.css("padding"+s))}),h.containerOffset=t.offset(),h.containerPosition=t.position(),h.containerSize={height:t.innerHeight()-i[3],width:t.innerWidth()-i[1]},s=h.containerOffset,n=h.containerSize.height,a=h.containerSize.width,o=h._hasScroll(c,"left")?c.scrollWidth:a,r=h._hasScroll(c)?c.scrollHeight:n,h.parentData={element:c,left:s.left,top:s.top,width:o,height:r}))},resize:function(t){var i,s,n,a,o=e(this).resizable("instance"),r=o.options,h=o.containerOffset,l=o.position,u=o._aspectRatio||t.shiftKey,d={top:0,left:0},c=o.containerElement,p=!0;c[0]!==document&&/static/.test(c.css("position"))&&(d=h),l.left<(o._helper?h.left:0)&&(o.size.width=o.size.width+(o._helper?o.position.left-h.left:o.position.left-d.left),u&&(o.size.height=o.size.width/o.aspectRatio,p=!1),o.position.left=r.helper?h.left:0),l.top<(o._helper?h.top:0)&&(o.size.height=o.size.height+(o._helper?o.position.top-h.top:o.position.top),u&&(o.size.width=o.size.height*o.aspectRatio,p=!1),o.position.top=o._helper?h.top:0),n=o.containerElement.get(0)===o.element.parent().get(0),a=/relative|absolute/.test(o.containerElement.css("position")),n&&a?(o.offset.left=o.parentData.left+o.position.left,o.offset.top=o.parentData.top+o.position.top):(o.offset.left=o.element.offset().left,o.offset.top=o.element.offset().top),i=Math.abs(o.sizeDiff.width+(o._helper?o.offset.left-d.left:o.offset.left-h.left)),s=Math.abs(o.sizeDiff.height+(o._helper?o.offset.top-d.top:o.offset.top-h.top)),i+o.size.width>=o.parentData.width&&(o.size.width=o.parentData.width-i,u&&(o.size.height=o.size.width/o.aspectRatio,p=!1)),s+o.size.height>=o.parentData.height&&(o.size.height=o.parentData.height-s,u&&(o.size.width=o.size.height*o.aspectRatio,p=!1)),p||(o.position.left=o.prevPosition.left,o.position.top=o.prevPosition.top,o.size.width=o.prevSize.width,o.size.height=o.prevSize.height)},stop:function(){var t=e(this).resizable("instance"),i=t.options,s=t.containerOffset,n=t.containerPosition,a=t.containerElement,o=e(t.helper),r=o.offset(),h=o.outerWidth()-t.sizeDiff.width,l=o.outerHeight()-t.sizeDiff.height;t._helper&&!i.animate&&/relative/.test(a.css("position"))&&e(this).css({left:r.left-n.left-s.left,width:h,height:l}),t._helper&&!i.animate&&/static/.test(a.css("position"))&&e(this).css({left:r.left-n.left-s.left,width:h,height:l})}}),e.ui.plugin.add("resizable","alsoResize",{start:function(){var t=e(this).resizable("instance"),i=t.options;e(i.alsoResize).each(function(){var t=e(this);t.data("ui-resizable-alsoresize",{width:parseInt(t.width(),10),height:parseInt(t.height(),10),left:parseInt(t.css("left"),10),top:parseInt(t.css("top"),10)})})},resize:function(t,i){var s=e(this).resizable("instance"),n=s.options,a=s.originalSize,o=s.originalPosition,r={height:s.size.height-a.height||0,width:s.size.width-a.width||0,top:s.position.top-o.top||0,left:s.position.left-o.left||0};e(n.alsoResize).each(function(){var t=e(this),s=e(this).data("ui-resizable-alsoresize"),n={},a=t.parents(i.originalElement[0]).length?["width","height"]:["width","height","top","left"];e.each(a,function(e,t){var i=(s[t]||0)+(r[t]||0);i&&i>=0&&(n[t]=i||null)}),t.css(n)})},stop:function(){e(this).removeData("resizable-alsoresize")}}),e.ui.plugin.add("resizable","ghost",{start:function(){var t=e(this).resizable("instance"),i=t.options,s=t.size;t.ghost=t.originalElement.clone(),t.ghost.css({opacity:.25,display:"block",position:"relative",height:s.height,width:s.width,margin:0,left:0,top:0}).addClass("ui-resizable-ghost").addClass("string"==typeof i.ghost?i.ghost:""),t.ghost.appendTo(t.helper)},resize:function(){var t=e(this).resizable("instance");t.ghost&&t.ghost.css({position:"relative",height:t.size.height,width:t.size.width})},stop:function(){var t=e(this).resizable("instance");t.ghost&&t.helper&&t.helper.get(0).removeChild(t.ghost.get(0))}}),e.ui.plugin.add("resizable","grid",{resize:function(){var t,i=e(this).resizable("instance"),s=i.options,n=i.size,a=i.originalSize,o=i.originalPosition,r=i.axis,h="number"==typeof s.grid?[s.grid,s.grid]:s.grid,l=h[0]||1,u=h[1]||1,d=Math.round((n.width-a.width)/l)*l,c=Math.round((n.height-a.height)/u)*u,p=a.width+d,f=a.height+c,m=s.maxWidth&&p>s.maxWidth,g=s.maxHeight&&f>s.maxHeight,v=s.minWidth&&s.minWidth>p,y=s.minHeight&&s.minHeight>f;s.grid=h,v&&(p+=l),y&&(f+=u),m&&(p-=l),g&&(f-=u),/^(se|s|e)$/.test(r)?(i.size.width=p,i.size.height=f):/^(ne)$/.test(r)?(i.size.width=p,i.size.height=f,i.position.top=o.top-c):/^(sw)$/.test(r)?(i.size.width=p,i.size.height=f,i.position.left=o.left-d):((0>=f-u||0>=p-l)&&(t=i._getPaddingPlusBorderDimensions(this)),f-u>0?(i.size.height=f,i.position.top=o.top-c):(f=u-t.height,i.size.height=f,i.position.top=o.top+a.height-f),p-l>0?(i.size.width=p,i.position.left=o.left-d):(p=l-t.width,i.size.width=p,i.position.left=o.left+a.width-p))}}),e.ui.resizable,e.widget("ui.selectable",e.ui.mouse,{version:"1.11.4",options:{appendTo:"body",autoRefresh:!0,distance:0,filter:"*",tolerance:"touch",selected:null,selecting:null,start:null,stop:null,unselected:null,unselecting:null},_create:function(){var t,i=this;this.element.addClass("ui-selectable"),this.dragged=!1,this.refresh=function(){t=e(i.options.filter,i.element[0]),t.addClass("ui-selectee"),t.each(function(){var t=e(this),i=t.offset();e.data(this,"selectable-item",{element:this,$element:t,left:i.left,top:i.top,right:i.left+t.outerWidth(),bottom:i.top+t.outerHeight(),startselected:!1,selected:t.hasClass("ui-selected"),selecting:t.hasClass("ui-selecting"),unselecting:t.hasClass("ui-unselecting")})})},this.refresh(),this.selectees=t.addClass("ui-selectee"),this._mouseInit(),this.helper=e("<div class='ui-selectable-helper'></div>")},_destroy:function(){this.selectees.removeClass("ui-selectee").removeData("selectable-item"),this.element.removeClass("ui-selectable ui-selectable-disabled"),this._mouseDestroy()},_mouseStart:function(t){var i=this,s=this.options;this.opos=[t.pageX,t.pageY],this.options.disabled||(this.selectees=e(s.filter,this.element[0]),this._trigger("start",t),e(s.appendTo).append(this.helper),this.helper.css({left:t.pageX,top:t.pageY,width:0,height:0}),s.autoRefresh&&this.refresh(),this.selectees.filter(".ui-selected").each(function(){var s=e.data(this,"selectable-item");s.startselected=!0,t.metaKey||t.ctrlKey||(s.$element.removeClass("ui-selected"),s.selected=!1,s.$element.addClass("ui-unselecting"),s.unselecting=!0,i._trigger("unselecting",t,{unselecting:s.element}))}),e(t.target).parents().addBack().each(function(){var s,n=e.data(this,"selectable-item");return n?(s=!t.metaKey&&!t.ctrlKey||!n.$element.hasClass("ui-selected"),n.$element.removeClass(s?"ui-unselecting":"ui-selected").addClass(s?"ui-selecting":"ui-unselecting"),n.unselecting=!s,n.selecting=s,n.selected=s,s?i._trigger("selecting",t,{selecting:n.element}):i._trigger("unselecting",t,{unselecting:n.element}),!1):void 0}))},_mouseDrag:function(t){if(this.dragged=!0,!this.options.disabled){var i,s=this,n=this.options,a=this.opos[0],o=this.opos[1],r=t.pageX,h=t.pageY;return a>r&&(i=r,r=a,a=i),o>h&&(i=h,h=o,o=i),this.helper.css({left:a,top:o,width:r-a,height:h-o}),this.selectees.each(function(){var i=e.data(this,"selectable-item"),l=!1; +i&&i.element!==s.element[0]&&("touch"===n.tolerance?l=!(i.left>r||a>i.right||i.top>h||o>i.bottom):"fit"===n.tolerance&&(l=i.left>a&&r>i.right&&i.top>o&&h>i.bottom),l?(i.selected&&(i.$element.removeClass("ui-selected"),i.selected=!1),i.unselecting&&(i.$element.removeClass("ui-unselecting"),i.unselecting=!1),i.selecting||(i.$element.addClass("ui-selecting"),i.selecting=!0,s._trigger("selecting",t,{selecting:i.element}))):(i.selecting&&((t.metaKey||t.ctrlKey)&&i.startselected?(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.$element.addClass("ui-selected"),i.selected=!0):(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.startselected&&(i.$element.addClass("ui-unselecting"),i.unselecting=!0),s._trigger("unselecting",t,{unselecting:i.element}))),i.selected&&(t.metaKey||t.ctrlKey||i.startselected||(i.$element.removeClass("ui-selected"),i.selected=!1,i.$element.addClass("ui-unselecting"),i.unselecting=!0,s._trigger("unselecting",t,{unselecting:i.element})))))}),!1}},_mouseStop:function(t){var i=this;return this.dragged=!1,e(".ui-unselecting",this.element[0]).each(function(){var s=e.data(this,"selectable-item");s.$element.removeClass("ui-unselecting"),s.unselecting=!1,s.startselected=!1,i._trigger("unselected",t,{unselected:s.element})}),e(".ui-selecting",this.element[0]).each(function(){var s=e.data(this,"selectable-item");s.$element.removeClass("ui-selecting").addClass("ui-selected"),s.selecting=!1,s.selected=!0,s.startselected=!0,i._trigger("selected",t,{selected:s.element})}),this._trigger("stop",t),this.helper.remove(),!1}}),e.widget("ui.sortable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"sort",ready:!1,options:{appendTo:"parent",axis:!1,connectWith:!1,containment:!1,cursor:"auto",cursorAt:!1,dropOnEmpty:!0,forcePlaceholderSize:!1,forceHelperSize:!1,grid:!1,handle:!1,helper:"original",items:"> *",opacity:!1,placeholder:!1,revert:!1,scroll:!0,scrollSensitivity:20,scrollSpeed:20,scope:"default",tolerance:"intersect",zIndex:1e3,activate:null,beforeStop:null,change:null,deactivate:null,out:null,over:null,receive:null,remove:null,sort:null,start:null,stop:null,update:null},_isOverAxis:function(e,t,i){return e>=t&&t+i>e},_isFloating:function(e){return/left|right/.test(e.css("float"))||/inline|table-cell/.test(e.css("display"))},_create:function(){this.containerCache={},this.element.addClass("ui-sortable"),this.refresh(),this.offset=this.element.offset(),this._mouseInit(),this._setHandleClassName(),this.ready=!0},_setOption:function(e,t){this._super(e,t),"handle"===e&&this._setHandleClassName()},_setHandleClassName:function(){this.element.find(".ui-sortable-handle").removeClass("ui-sortable-handle"),e.each(this.items,function(){(this.instance.options.handle?this.item.find(this.instance.options.handle):this.item).addClass("ui-sortable-handle")})},_destroy:function(){this.element.removeClass("ui-sortable ui-sortable-disabled").find(".ui-sortable-handle").removeClass("ui-sortable-handle"),this._mouseDestroy();for(var e=this.items.length-1;e>=0;e--)this.items[e].item.removeData(this.widgetName+"-item");return this},_mouseCapture:function(t,i){var s=null,n=!1,a=this;return this.reverting?!1:this.options.disabled||"static"===this.options.type?!1:(this._refreshItems(t),e(t.target).parents().each(function(){return e.data(this,a.widgetName+"-item")===a?(s=e(this),!1):void 0}),e.data(t.target,a.widgetName+"-item")===a&&(s=e(t.target)),s?!this.options.handle||i||(e(this.options.handle,s).find("*").addBack().each(function(){this===t.target&&(n=!0)}),n)?(this.currentItem=s,this._removeCurrentsFromItems(),!0):!1:!1)},_mouseStart:function(t,i,s){var n,a,o=this.options;if(this.currentContainer=this,this.refreshPositions(),this.helper=this._createHelper(t),this._cacheHelperProportions(),this._cacheMargins(),this.scrollParent=this.helper.scrollParent(),this.offset=this.currentItem.offset(),this.offset={top:this.offset.top-this.margins.top,left:this.offset.left-this.margins.left},e.extend(this.offset,{click:{left:t.pageX-this.offset.left,top:t.pageY-this.offset.top},parent:this._getParentOffset(),relative:this._getRelativeOffset()}),this.helper.css("position","absolute"),this.cssPosition=this.helper.css("position"),this.originalPosition=this._generatePosition(t),this.originalPageX=t.pageX,this.originalPageY=t.pageY,o.cursorAt&&this._adjustOffsetFromHelper(o.cursorAt),this.domPosition={prev:this.currentItem.prev()[0],parent:this.currentItem.parent()[0]},this.helper[0]!==this.currentItem[0]&&this.currentItem.hide(),this._createPlaceholder(),o.containment&&this._setContainment(),o.cursor&&"auto"!==o.cursor&&(a=this.document.find("body"),this.storedCursor=a.css("cursor"),a.css("cursor",o.cursor),this.storedStylesheet=e("<style>*{ cursor: "+o.cursor+" !important; }</style>").appendTo(a)),o.opacity&&(this.helper.css("opacity")&&(this._storedOpacity=this.helper.css("opacity")),this.helper.css("opacity",o.opacity)),o.zIndex&&(this.helper.css("zIndex")&&(this._storedZIndex=this.helper.css("zIndex")),this.helper.css("zIndex",o.zIndex)),this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName&&(this.overflowOffset=this.scrollParent.offset()),this._trigger("start",t,this._uiHash()),this._preserveHelperProportions||this._cacheHelperProportions(),!s)for(n=this.containers.length-1;n>=0;n--)this.containers[n]._trigger("activate",t,this._uiHash(this));return e.ui.ddmanager&&(e.ui.ddmanager.current=this),e.ui.ddmanager&&!o.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t),this.dragging=!0,this.helper.addClass("ui-sortable-helper"),this._mouseDrag(t),!0},_mouseDrag:function(t){var i,s,n,a,o=this.options,r=!1;for(this.position=this._generatePosition(t),this.positionAbs=this._convertPositionTo("absolute"),this.lastPositionAbs||(this.lastPositionAbs=this.positionAbs),this.options.scroll&&(this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName?(this.overflowOffset.top+this.scrollParent[0].offsetHeight-t.pageY<o.scrollSensitivity?this.scrollParent[0].scrollTop=r=this.scrollParent[0].scrollTop+o.scrollSpeed:t.pageY-this.overflowOffset.top<o.scrollSensitivity&&(this.scrollParent[0].scrollTop=r=this.scrollParent[0].scrollTop-o.scrollSpeed),this.overflowOffset.left+this.scrollParent[0].offsetWidth-t.pageX<o.scrollSensitivity?this.scrollParent[0].scrollLeft=r=this.scrollParent[0].scrollLeft+o.scrollSpeed:t.pageX-this.overflowOffset.left<o.scrollSensitivity&&(this.scrollParent[0].scrollLeft=r=this.scrollParent[0].scrollLeft-o.scrollSpeed)):(t.pageY-this.document.scrollTop()<o.scrollSensitivity?r=this.document.scrollTop(this.document.scrollTop()-o.scrollSpeed):this.window.height()-(t.pageY-this.document.scrollTop())<o.scrollSensitivity&&(r=this.document.scrollTop(this.document.scrollTop()+o.scrollSpeed)),t.pageX-this.document.scrollLeft()<o.scrollSensitivity?r=this.document.scrollLeft(this.document.scrollLeft()-o.scrollSpeed):this.window.width()-(t.pageX-this.document.scrollLeft())<o.scrollSensitivity&&(r=this.document.scrollLeft(this.document.scrollLeft()+o.scrollSpeed))),r!==!1&&e.ui.ddmanager&&!o.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t)),this.positionAbs=this._convertPositionTo("absolute"),this.options.axis&&"y"===this.options.axis||(this.helper[0].style.left=this.position.left+"px"),this.options.axis&&"x"===this.options.axis||(this.helper[0].style.top=this.position.top+"px"),i=this.items.length-1;i>=0;i--)if(s=this.items[i],n=s.item[0],a=this._intersectsWithPointer(s),a&&s.instance===this.currentContainer&&n!==this.currentItem[0]&&this.placeholder[1===a?"next":"prev"]()[0]!==n&&!e.contains(this.placeholder[0],n)&&("semi-dynamic"===this.options.type?!e.contains(this.element[0],n):!0)){if(this.direction=1===a?"down":"up","pointer"!==this.options.tolerance&&!this._intersectsWithSides(s))break;this._rearrange(t,s),this._trigger("change",t,this._uiHash());break}return this._contactContainers(t),e.ui.ddmanager&&e.ui.ddmanager.drag(this,t),this._trigger("sort",t,this._uiHash()),this.lastPositionAbs=this.positionAbs,!1},_mouseStop:function(t,i){if(t){if(e.ui.ddmanager&&!this.options.dropBehaviour&&e.ui.ddmanager.drop(this,t),this.options.revert){var s=this,n=this.placeholder.offset(),a=this.options.axis,o={};a&&"x"!==a||(o.left=n.left-this.offset.parent.left-this.margins.left+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollLeft)),a&&"y"!==a||(o.top=n.top-this.offset.parent.top-this.margins.top+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollTop)),this.reverting=!0,e(this.helper).animate(o,parseInt(this.options.revert,10)||500,function(){s._clear(t)})}else this._clear(t,i);return!1}},cancel:function(){if(this.dragging){this._mouseUp({target:null}),"original"===this.options.helper?this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper"):this.currentItem.show();for(var t=this.containers.length-1;t>=0;t--)this.containers[t]._trigger("deactivate",null,this._uiHash(this)),this.containers[t].containerCache.over&&(this.containers[t]._trigger("out",null,this._uiHash(this)),this.containers[t].containerCache.over=0)}return this.placeholder&&(this.placeholder[0].parentNode&&this.placeholder[0].parentNode.removeChild(this.placeholder[0]),"original"!==this.options.helper&&this.helper&&this.helper[0].parentNode&&this.helper.remove(),e.extend(this,{helper:null,dragging:!1,reverting:!1,_noFinalSort:null}),this.domPosition.prev?e(this.domPosition.prev).after(this.currentItem):e(this.domPosition.parent).prepend(this.currentItem)),this},serialize:function(t){var i=this._getItemsAsjQuery(t&&t.connected),s=[];return t=t||{},e(i).each(function(){var i=(e(t.item||this).attr(t.attribute||"id")||"").match(t.expression||/(.+)[\-=_](.+)/);i&&s.push((t.key||i[1]+"[]")+"="+(t.key&&t.expression?i[1]:i[2]))}),!s.length&&t.key&&s.push(t.key+"="),s.join("&")},toArray:function(t){var i=this._getItemsAsjQuery(t&&t.connected),s=[];return t=t||{},i.each(function(){s.push(e(t.item||this).attr(t.attribute||"id")||"")}),s},_intersectsWith:function(e){var t=this.positionAbs.left,i=t+this.helperProportions.width,s=this.positionAbs.top,n=s+this.helperProportions.height,a=e.left,o=a+e.width,r=e.top,h=r+e.height,l=this.offset.click.top,u=this.offset.click.left,d="x"===this.options.axis||s+l>r&&h>s+l,c="y"===this.options.axis||t+u>a&&o>t+u,p=d&&c;return"pointer"===this.options.tolerance||this.options.forcePointerForContainers||"pointer"!==this.options.tolerance&&this.helperProportions[this.floating?"width":"height"]>e[this.floating?"width":"height"]?p:t+this.helperProportions.width/2>a&&o>i-this.helperProportions.width/2&&s+this.helperProportions.height/2>r&&h>n-this.helperProportions.height/2},_intersectsWithPointer:function(e){var t="x"===this.options.axis||this._isOverAxis(this.positionAbs.top+this.offset.click.top,e.top,e.height),i="y"===this.options.axis||this._isOverAxis(this.positionAbs.left+this.offset.click.left,e.left,e.width),s=t&&i,n=this._getDragVerticalDirection(),a=this._getDragHorizontalDirection();return s?this.floating?a&&"right"===a||"down"===n?2:1:n&&("down"===n?2:1):!1},_intersectsWithSides:function(e){var t=this._isOverAxis(this.positionAbs.top+this.offset.click.top,e.top+e.height/2,e.height),i=this._isOverAxis(this.positionAbs.left+this.offset.click.left,e.left+e.width/2,e.width),s=this._getDragVerticalDirection(),n=this._getDragHorizontalDirection();return this.floating&&n?"right"===n&&i||"left"===n&&!i:s&&("down"===s&&t||"up"===s&&!t)},_getDragVerticalDirection:function(){var e=this.positionAbs.top-this.lastPositionAbs.top;return 0!==e&&(e>0?"down":"up")},_getDragHorizontalDirection:function(){var e=this.positionAbs.left-this.lastPositionAbs.left;return 0!==e&&(e>0?"right":"left")},refresh:function(e){return this._refreshItems(e),this._setHandleClassName(),this.refreshPositions(),this},_connectWith:function(){var e=this.options;return e.connectWith.constructor===String?[e.connectWith]:e.connectWith},_getItemsAsjQuery:function(t){function i(){r.push(this)}var s,n,a,o,r=[],h=[],l=this._connectWith();if(l&&t)for(s=l.length-1;s>=0;s--)for(a=e(l[s],this.document[0]),n=a.length-1;n>=0;n--)o=e.data(a[n],this.widgetFullName),o&&o!==this&&!o.options.disabled&&h.push([e.isFunction(o.options.items)?o.options.items.call(o.element):e(o.options.items,o.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),o]);for(h.push([e.isFunction(this.options.items)?this.options.items.call(this.element,null,{options:this.options,item:this.currentItem}):e(this.options.items,this.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),this]),s=h.length-1;s>=0;s--)h[s][0].each(i);return e(r)},_removeCurrentsFromItems:function(){var t=this.currentItem.find(":data("+this.widgetName+"-item)");this.items=e.grep(this.items,function(e){for(var i=0;t.length>i;i++)if(t[i]===e.item[0])return!1;return!0})},_refreshItems:function(t){this.items=[],this.containers=[this];var i,s,n,a,o,r,h,l,u=this.items,d=[[e.isFunction(this.options.items)?this.options.items.call(this.element[0],t,{item:this.currentItem}):e(this.options.items,this.element),this]],c=this._connectWith();if(c&&this.ready)for(i=c.length-1;i>=0;i--)for(n=e(c[i],this.document[0]),s=n.length-1;s>=0;s--)a=e.data(n[s],this.widgetFullName),a&&a!==this&&!a.options.disabled&&(d.push([e.isFunction(a.options.items)?a.options.items.call(a.element[0],t,{item:this.currentItem}):e(a.options.items,a.element),a]),this.containers.push(a));for(i=d.length-1;i>=0;i--)for(o=d[i][1],r=d[i][0],s=0,l=r.length;l>s;s++)h=e(r[s]),h.data(this.widgetName+"-item",o),u.push({item:h,instance:o,width:0,height:0,left:0,top:0})},refreshPositions:function(t){this.floating=this.items.length?"x"===this.options.axis||this._isFloating(this.items[0].item):!1,this.offsetParent&&this.helper&&(this.offset.parent=this._getParentOffset());var i,s,n,a;for(i=this.items.length-1;i>=0;i--)s=this.items[i],s.instance!==this.currentContainer&&this.currentContainer&&s.item[0]!==this.currentItem[0]||(n=this.options.toleranceElement?e(this.options.toleranceElement,s.item):s.item,t||(s.width=n.outerWidth(),s.height=n.outerHeight()),a=n.offset(),s.left=a.left,s.top=a.top);if(this.options.custom&&this.options.custom.refreshContainers)this.options.custom.refreshContainers.call(this);else for(i=this.containers.length-1;i>=0;i--)a=this.containers[i].element.offset(),this.containers[i].containerCache.left=a.left,this.containers[i].containerCache.top=a.top,this.containers[i].containerCache.width=this.containers[i].element.outerWidth(),this.containers[i].containerCache.height=this.containers[i].element.outerHeight();return this},_createPlaceholder:function(t){t=t||this;var i,s=t.options;s.placeholder&&s.placeholder.constructor!==String||(i=s.placeholder,s.placeholder={element:function(){var s=t.currentItem[0].nodeName.toLowerCase(),n=e("<"+s+">",t.document[0]).addClass(i||t.currentItem[0].className+" ui-sortable-placeholder").removeClass("ui-sortable-helper");return"tbody"===s?t._createTrPlaceholder(t.currentItem.find("tr").eq(0),e("<tr>",t.document[0]).appendTo(n)):"tr"===s?t._createTrPlaceholder(t.currentItem,n):"img"===s&&n.attr("src",t.currentItem.attr("src")),i||n.css("visibility","hidden"),n},update:function(e,n){(!i||s.forcePlaceholderSize)&&(n.height()||n.height(t.currentItem.innerHeight()-parseInt(t.currentItem.css("paddingTop")||0,10)-parseInt(t.currentItem.css("paddingBottom")||0,10)),n.width()||n.width(t.currentItem.innerWidth()-parseInt(t.currentItem.css("paddingLeft")||0,10)-parseInt(t.currentItem.css("paddingRight")||0,10)))}}),t.placeholder=e(s.placeholder.element.call(t.element,t.currentItem)),t.currentItem.after(t.placeholder),s.placeholder.update(t,t.placeholder)},_createTrPlaceholder:function(t,i){var s=this;t.children().each(function(){e("<td> </td>",s.document[0]).attr("colspan",e(this).attr("colspan")||1).appendTo(i)})},_contactContainers:function(t){var i,s,n,a,o,r,h,l,u,d,c=null,p=null;for(i=this.containers.length-1;i>=0;i--)if(!e.contains(this.currentItem[0],this.containers[i].element[0]))if(this._intersectsWith(this.containers[i].containerCache)){if(c&&e.contains(this.containers[i].element[0],c.element[0]))continue;c=this.containers[i],p=i}else this.containers[i].containerCache.over&&(this.containers[i]._trigger("out",t,this._uiHash(this)),this.containers[i].containerCache.over=0);if(c)if(1===this.containers.length)this.containers[p].containerCache.over||(this.containers[p]._trigger("over",t,this._uiHash(this)),this.containers[p].containerCache.over=1);else{for(n=1e4,a=null,u=c.floating||this._isFloating(this.currentItem),o=u?"left":"top",r=u?"width":"height",d=u?"clientX":"clientY",s=this.items.length-1;s>=0;s--)e.contains(this.containers[p].element[0],this.items[s].item[0])&&this.items[s].item[0]!==this.currentItem[0]&&(h=this.items[s].item.offset()[o],l=!1,t[d]-h>this.items[s][r]/2&&(l=!0),n>Math.abs(t[d]-h)&&(n=Math.abs(t[d]-h),a=this.items[s],this.direction=l?"up":"down"));if(!a&&!this.options.dropOnEmpty)return;if(this.currentContainer===this.containers[p])return this.currentContainer.containerCache.over||(this.containers[p]._trigger("over",t,this._uiHash()),this.currentContainer.containerCache.over=1),void 0;a?this._rearrange(t,a,null,!0):this._rearrange(t,null,this.containers[p].element,!0),this._trigger("change",t,this._uiHash()),this.containers[p]._trigger("change",t,this._uiHash(this)),this.currentContainer=this.containers[p],this.options.placeholder.update(this.currentContainer,this.placeholder),this.containers[p]._trigger("over",t,this._uiHash(this)),this.containers[p].containerCache.over=1}},_createHelper:function(t){var i=this.options,s=e.isFunction(i.helper)?e(i.helper.apply(this.element[0],[t,this.currentItem])):"clone"===i.helper?this.currentItem.clone():this.currentItem;return s.parents("body").length||e("parent"!==i.appendTo?i.appendTo:this.currentItem[0].parentNode)[0].appendChild(s[0]),s[0]===this.currentItem[0]&&(this._storedCSS={width:this.currentItem[0].style.width,height:this.currentItem[0].style.height,position:this.currentItem.css("position"),top:this.currentItem.css("top"),left:this.currentItem.css("left")}),(!s[0].style.width||i.forceHelperSize)&&s.width(this.currentItem.width()),(!s[0].style.height||i.forceHelperSize)&&s.height(this.currentItem.height()),s},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),e.isArray(t)&&(t={left:+t[0],top:+t[1]||0}),"left"in t&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_getParentOffset:function(){this.offsetParent=this.helper.offsetParent();var t=this.offsetParent.offset();return"absolute"===this.cssPosition&&this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),(this.offsetParent[0]===this.document[0].body||this.offsetParent[0].tagName&&"html"===this.offsetParent[0].tagName.toLowerCase()&&e.ui.ie)&&(t={top:0,left:0}),{top:t.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"===this.cssPosition){var e=this.currentItem.position();return{top:e.top-(parseInt(this.helper.css("top"),10)||0)+this.scrollParent.scrollTop(),left:e.left-(parseInt(this.helper.css("left"),10)||0)+this.scrollParent.scrollLeft()}}return{top:0,left:0}},_cacheMargins:function(){this.margins={left:parseInt(this.currentItem.css("marginLeft"),10)||0,top:parseInt(this.currentItem.css("marginTop"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,i,s,n=this.options;"parent"===n.containment&&(n.containment=this.helper[0].parentNode),("document"===n.containment||"window"===n.containment)&&(this.containment=[0-this.offset.relative.left-this.offset.parent.left,0-this.offset.relative.top-this.offset.parent.top,"document"===n.containment?this.document.width():this.window.width()-this.helperProportions.width-this.margins.left,("document"===n.containment?this.document.width():this.window.height()||this.document[0].body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top]),/^(document|window|parent)$/.test(n.containment)||(t=e(n.containment)[0],i=e(n.containment).offset(),s="hidden"!==e(t).css("overflow"),this.containment=[i.left+(parseInt(e(t).css("borderLeftWidth"),10)||0)+(parseInt(e(t).css("paddingLeft"),10)||0)-this.margins.left,i.top+(parseInt(e(t).css("borderTopWidth"),10)||0)+(parseInt(e(t).css("paddingTop"),10)||0)-this.margins.top,i.left+(s?Math.max(t.scrollWidth,t.offsetWidth):t.offsetWidth)-(parseInt(e(t).css("borderLeftWidth"),10)||0)-(parseInt(e(t).css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left,i.top+(s?Math.max(t.scrollHeight,t.offsetHeight):t.offsetHeight)-(parseInt(e(t).css("borderTopWidth"),10)||0)-(parseInt(e(t).css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top])},_convertPositionTo:function(t,i){i||(i=this.position);var s="absolute"===t?1:-1,n="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,a=/(html|body)/i.test(n[0].tagName);return{top:i.top+this.offset.relative.top*s+this.offset.parent.top*s-("fixed"===this.cssPosition?-this.scrollParent.scrollTop():a?0:n.scrollTop())*s,left:i.left+this.offset.relative.left*s+this.offset.parent.left*s-("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():a?0:n.scrollLeft())*s}},_generatePosition:function(t){var i,s,n=this.options,a=t.pageX,o=t.pageY,r="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,h=/(html|body)/i.test(r[0].tagName);return"relative"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&this.scrollParent[0]!==this.offsetParent[0]||(this.offset.relative=this._getRelativeOffset()),this.originalPosition&&(this.containment&&(t.pageX-this.offset.click.left<this.containment[0]&&(a=this.containment[0]+this.offset.click.left),t.pageY-this.offset.click.top<this.containment[1]&&(o=this.containment[1]+this.offset.click.top),t.pageX-this.offset.click.left>this.containment[2]&&(a=this.containment[2]+this.offset.click.left),t.pageY-this.offset.click.top>this.containment[3]&&(o=this.containment[3]+this.offset.click.top)),n.grid&&(i=this.originalPageY+Math.round((o-this.originalPageY)/n.grid[1])*n.grid[1],o=this.containment?i-this.offset.click.top>=this.containment[1]&&i-this.offset.click.top<=this.containment[3]?i:i-this.offset.click.top>=this.containment[1]?i-n.grid[1]:i+n.grid[1]:i,s=this.originalPageX+Math.round((a-this.originalPageX)/n.grid[0])*n.grid[0],a=this.containment?s-this.offset.click.left>=this.containment[0]&&s-this.offset.click.left<=this.containment[2]?s:s-this.offset.click.left>=this.containment[0]?s-n.grid[0]:s+n.grid[0]:s)),{top:o-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.scrollParent.scrollTop():h?0:r.scrollTop()),left:a-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():h?0:r.scrollLeft())}},_rearrange:function(e,t,i,s){i?i[0].appendChild(this.placeholder[0]):t.item[0].parentNode.insertBefore(this.placeholder[0],"down"===this.direction?t.item[0]:t.item[0].nextSibling),this.counter=this.counter?++this.counter:1;var n=this.counter;this._delay(function(){n===this.counter&&this.refreshPositions(!s)})},_clear:function(e,t){function i(e,t,i){return function(s){i._trigger(e,s,t._uiHash(t))}}this.reverting=!1;var s,n=[];if(!this._noFinalSort&&this.currentItem.parent().length&&this.placeholder.before(this.currentItem),this._noFinalSort=null,this.helper[0]===this.currentItem[0]){for(s in this._storedCSS)("auto"===this._storedCSS[s]||"static"===this._storedCSS[s])&&(this._storedCSS[s]="");this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper")}else this.currentItem.show();for(this.fromOutside&&!t&&n.push(function(e){this._trigger("receive",e,this._uiHash(this.fromOutside))}),!this.fromOutside&&this.domPosition.prev===this.currentItem.prev().not(".ui-sortable-helper")[0]&&this.domPosition.parent===this.currentItem.parent()[0]||t||n.push(function(e){this._trigger("update",e,this._uiHash())}),this!==this.currentContainer&&(t||(n.push(function(e){this._trigger("remove",e,this._uiHash())}),n.push(function(e){return function(t){e._trigger("receive",t,this._uiHash(this))}}.call(this,this.currentContainer)),n.push(function(e){return function(t){e._trigger("update",t,this._uiHash(this))}}.call(this,this.currentContainer)))),s=this.containers.length-1;s>=0;s--)t||n.push(i("deactivate",this,this.containers[s])),this.containers[s].containerCache.over&&(n.push(i("out",this,this.containers[s])),this.containers[s].containerCache.over=0);if(this.storedCursor&&(this.document.find("body").css("cursor",this.storedCursor),this.storedStylesheet.remove()),this._storedOpacity&&this.helper.css("opacity",this._storedOpacity),this._storedZIndex&&this.helper.css("zIndex","auto"===this._storedZIndex?"":this._storedZIndex),this.dragging=!1,t||this._trigger("beforeStop",e,this._uiHash()),this.placeholder[0].parentNode.removeChild(this.placeholder[0]),this.cancelHelperRemoval||(this.helper[0]!==this.currentItem[0]&&this.helper.remove(),this.helper=null),!t){for(s=0;n.length>s;s++)n[s].call(this,e);this._trigger("stop",e,this._uiHash())}return this.fromOutside=!1,!this.cancelHelperRemoval},_trigger:function(){e.Widget.prototype._trigger.apply(this,arguments)===!1&&this.cancel()},_uiHash:function(t){var i=t||this;return{helper:i.helper,placeholder:i.placeholder||e([]),position:i.position,originalPosition:i.originalPosition,offset:i.positionAbs,item:i.currentItem,sender:t?t.element:null}}}),e.widget("ui.accordion",{version:"1.11.4",options:{active:0,animate:{},collapsible:!1,event:"click",header:"> li > :first-child,> :not(li):even",heightStyle:"auto",icons:{activeHeader:"ui-icon-triangle-1-s",header:"ui-icon-triangle-1-e"},activate:null,beforeActivate:null},hideProps:{borderTopWidth:"hide",borderBottomWidth:"hide",paddingTop:"hide",paddingBottom:"hide",height:"hide"},showProps:{borderTopWidth:"show",borderBottomWidth:"show",paddingTop:"show",paddingBottom:"show",height:"show"},_create:function(){var t=this.options;this.prevShow=this.prevHide=e(),this.element.addClass("ui-accordion ui-widget ui-helper-reset").attr("role","tablist"),t.collapsible||t.active!==!1&&null!=t.active||(t.active=0),this._processPanels(),0>t.active&&(t.active+=this.headers.length),this._refresh()},_getCreateEventData:function(){return{header:this.active,panel:this.active.length?this.active.next():e()}},_createIcons:function(){var t=this.options.icons;t&&(e("<span>").addClass("ui-accordion-header-icon ui-icon "+t.header).prependTo(this.headers),this.active.children(".ui-accordion-header-icon").removeClass(t.header).addClass(t.activeHeader),this.headers.addClass("ui-accordion-icons"))},_destroyIcons:function(){this.headers.removeClass("ui-accordion-icons").children(".ui-accordion-header-icon").remove()},_destroy:function(){var e;this.element.removeClass("ui-accordion ui-widget ui-helper-reset").removeAttr("role"),this.headers.removeClass("ui-accordion-header ui-accordion-header-active ui-state-default ui-corner-all ui-state-active ui-state-disabled ui-corner-top").removeAttr("role").removeAttr("aria-expanded").removeAttr("aria-selected").removeAttr("aria-controls").removeAttr("tabIndex").removeUniqueId(),this._destroyIcons(),e=this.headers.next().removeClass("ui-helper-reset ui-widget-content ui-corner-bottom ui-accordion-content ui-accordion-content-active ui-state-disabled").css("display","").removeAttr("role").removeAttr("aria-hidden").removeAttr("aria-labelledby").removeUniqueId(),"content"!==this.options.heightStyle&&e.css("height","")},_setOption:function(e,t){return"active"===e?(this._activate(t),void 0):("event"===e&&(this.options.event&&this._off(this.headers,this.options.event),this._setupEvents(t)),this._super(e,t),"collapsible"!==e||t||this.options.active!==!1||this._activate(0),"icons"===e&&(this._destroyIcons(),t&&this._createIcons()),"disabled"===e&&(this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this.headers.add(this.headers.next()).toggleClass("ui-state-disabled",!!t)),void 0)},_keydown:function(t){if(!t.altKey&&!t.ctrlKey){var i=e.ui.keyCode,s=this.headers.length,n=this.headers.index(t.target),a=!1;switch(t.keyCode){case i.RIGHT:case i.DOWN:a=this.headers[(n+1)%s];break;case i.LEFT:case i.UP:a=this.headers[(n-1+s)%s];break;case i.SPACE:case i.ENTER:this._eventHandler(t);break;case i.HOME:a=this.headers[0];break;case i.END:a=this.headers[s-1]}a&&(e(t.target).attr("tabIndex",-1),e(a).attr("tabIndex",0),a.focus(),t.preventDefault())}},_panelKeyDown:function(t){t.keyCode===e.ui.keyCode.UP&&t.ctrlKey&&e(t.currentTarget).prev().focus()},refresh:function(){var t=this.options;this._processPanels(),t.active===!1&&t.collapsible===!0||!this.headers.length?(t.active=!1,this.active=e()):t.active===!1?this._activate(0):this.active.length&&!e.contains(this.element[0],this.active[0])?this.headers.length===this.headers.find(".ui-state-disabled").length?(t.active=!1,this.active=e()):this._activate(Math.max(0,t.active-1)):t.active=this.headers.index(this.active),this._destroyIcons(),this._refresh()},_processPanels:function(){var e=this.headers,t=this.panels;this.headers=this.element.find(this.options.header).addClass("ui-accordion-header ui-state-default ui-corner-all"),this.panels=this.headers.next().addClass("ui-accordion-content ui-helper-reset ui-widget-content ui-corner-bottom").filter(":not(.ui-accordion-content-active)").hide(),t&&(this._off(e.not(this.headers)),this._off(t.not(this.panels)))},_refresh:function(){var t,i=this.options,s=i.heightStyle,n=this.element.parent();this.active=this._findActive(i.active).addClass("ui-accordion-header-active ui-state-active ui-corner-top").removeClass("ui-corner-all"),this.active.next().addClass("ui-accordion-content-active").show(),this.headers.attr("role","tab").each(function(){var t=e(this),i=t.uniqueId().attr("id"),s=t.next(),n=s.uniqueId().attr("id");t.attr("aria-controls",n),s.attr("aria-labelledby",i)}).next().attr("role","tabpanel"),this.headers.not(this.active).attr({"aria-selected":"false","aria-expanded":"false",tabIndex:-1}).next().attr({"aria-hidden":"true"}).hide(),this.active.length?this.active.attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0}).next().attr({"aria-hidden":"false"}):this.headers.eq(0).attr("tabIndex",0),this._createIcons(),this._setupEvents(i.event),"fill"===s?(t=n.height(),this.element.siblings(":visible").each(function(){var i=e(this),s=i.css("position");"absolute"!==s&&"fixed"!==s&&(t-=i.outerHeight(!0))}),this.headers.each(function(){t-=e(this).outerHeight(!0)}),this.headers.next().each(function(){e(this).height(Math.max(0,t-e(this).innerHeight()+e(this).height()))}).css("overflow","auto")):"auto"===s&&(t=0,this.headers.next().each(function(){t=Math.max(t,e(this).css("height","").height())}).height(t))},_activate:function(t){var i=this._findActive(t)[0];i!==this.active[0]&&(i=i||this.active[0],this._eventHandler({target:i,currentTarget:i,preventDefault:e.noop}))},_findActive:function(t){return"number"==typeof t?this.headers.eq(t):e()},_setupEvents:function(t){var i={keydown:"_keydown"};t&&e.each(t.split(" "),function(e,t){i[t]="_eventHandler"}),this._off(this.headers.add(this.headers.next())),this._on(this.headers,i),this._on(this.headers.next(),{keydown:"_panelKeyDown"}),this._hoverable(this.headers),this._focusable(this.headers)},_eventHandler:function(t){var i=this.options,s=this.active,n=e(t.currentTarget),a=n[0]===s[0],o=a&&i.collapsible,r=o?e():n.next(),h=s.next(),l={oldHeader:s,oldPanel:h,newHeader:o?e():n,newPanel:r}; +t.preventDefault(),a&&!i.collapsible||this._trigger("beforeActivate",t,l)===!1||(i.active=o?!1:this.headers.index(n),this.active=a?e():n,this._toggle(l),s.removeClass("ui-accordion-header-active ui-state-active"),i.icons&&s.children(".ui-accordion-header-icon").removeClass(i.icons.activeHeader).addClass(i.icons.header),a||(n.removeClass("ui-corner-all").addClass("ui-accordion-header-active ui-state-active ui-corner-top"),i.icons&&n.children(".ui-accordion-header-icon").removeClass(i.icons.header).addClass(i.icons.activeHeader),n.next().addClass("ui-accordion-content-active")))},_toggle:function(t){var i=t.newPanel,s=this.prevShow.length?this.prevShow:t.oldPanel;this.prevShow.add(this.prevHide).stop(!0,!0),this.prevShow=i,this.prevHide=s,this.options.animate?this._animate(i,s,t):(s.hide(),i.show(),this._toggleComplete(t)),s.attr({"aria-hidden":"true"}),s.prev().attr({"aria-selected":"false","aria-expanded":"false"}),i.length&&s.length?s.prev().attr({tabIndex:-1,"aria-expanded":"false"}):i.length&&this.headers.filter(function(){return 0===parseInt(e(this).attr("tabIndex"),10)}).attr("tabIndex",-1),i.attr("aria-hidden","false").prev().attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0})},_animate:function(e,t,i){var s,n,a,o=this,r=0,h=e.css("box-sizing"),l=e.length&&(!t.length||e.index()<t.index()),u=this.options.animate||{},d=l&&u.down||u,c=function(){o._toggleComplete(i)};return"number"==typeof d&&(a=d),"string"==typeof d&&(n=d),n=n||d.easing||u.easing,a=a||d.duration||u.duration,t.length?e.length?(s=e.show().outerHeight(),t.animate(this.hideProps,{duration:a,easing:n,step:function(e,t){t.now=Math.round(e)}}),e.hide().animate(this.showProps,{duration:a,easing:n,complete:c,step:function(e,i){i.now=Math.round(e),"height"!==i.prop?"content-box"===h&&(r+=i.now):"content"!==o.options.heightStyle&&(i.now=Math.round(s-t.outerHeight()-r),r=0)}}),void 0):t.animate(this.hideProps,a,n,c):e.animate(this.showProps,a,n,c)},_toggleComplete:function(e){var t=e.oldPanel;t.removeClass("ui-accordion-content-active").prev().removeClass("ui-corner-top").addClass("ui-corner-all"),t.length&&(t.parent()[0].className=t.parent()[0].className),this._trigger("activate",null,e)}}),e.widget("ui.menu",{version:"1.11.4",defaultElement:"<ul>",delay:300,options:{icons:{submenu:"ui-icon-carat-1-e"},items:"> *",menus:"ul",position:{my:"left-1 top",at:"right top"},role:"menu",blur:null,focus:null,select:null},_create:function(){this.activeMenu=this.element,this.mouseHandled=!1,this.element.uniqueId().addClass("ui-menu ui-widget ui-widget-content").toggleClass("ui-menu-icons",!!this.element.find(".ui-icon").length).attr({role:this.options.role,tabIndex:0}),this.options.disabled&&this.element.addClass("ui-state-disabled").attr("aria-disabled","true"),this._on({"mousedown .ui-menu-item":function(e){e.preventDefault()},"click .ui-menu-item":function(t){var i=e(t.target);!this.mouseHandled&&i.not(".ui-state-disabled").length&&(this.select(t),t.isPropagationStopped()||(this.mouseHandled=!0),i.has(".ui-menu").length?this.expand(t):!this.element.is(":focus")&&e(this.document[0].activeElement).closest(".ui-menu").length&&(this.element.trigger("focus",[!0]),this.active&&1===this.active.parents(".ui-menu").length&&clearTimeout(this.timer)))},"mouseenter .ui-menu-item":function(t){if(!this.previousFilter){var i=e(t.currentTarget);i.siblings(".ui-state-active").removeClass("ui-state-active"),this.focus(t,i)}},mouseleave:"collapseAll","mouseleave .ui-menu":"collapseAll",focus:function(e,t){var i=this.active||this.element.find(this.options.items).eq(0);t||this.focus(e,i)},blur:function(t){this._delay(function(){e.contains(this.element[0],this.document[0].activeElement)||this.collapseAll(t)})},keydown:"_keydown"}),this.refresh(),this._on(this.document,{click:function(e){this._closeOnDocumentClick(e)&&this.collapseAll(e),this.mouseHandled=!1}})},_destroy:function(){this.element.removeAttr("aria-activedescendant").find(".ui-menu").addBack().removeClass("ui-menu ui-widget ui-widget-content ui-menu-icons ui-front").removeAttr("role").removeAttr("tabIndex").removeAttr("aria-labelledby").removeAttr("aria-expanded").removeAttr("aria-hidden").removeAttr("aria-disabled").removeUniqueId().show(),this.element.find(".ui-menu-item").removeClass("ui-menu-item").removeAttr("role").removeAttr("aria-disabled").removeUniqueId().removeClass("ui-state-hover").removeAttr("tabIndex").removeAttr("role").removeAttr("aria-haspopup").children().each(function(){var t=e(this);t.data("ui-menu-submenu-carat")&&t.remove()}),this.element.find(".ui-menu-divider").removeClass("ui-menu-divider ui-widget-content")},_keydown:function(t){var i,s,n,a,o=!0;switch(t.keyCode){case e.ui.keyCode.PAGE_UP:this.previousPage(t);break;case e.ui.keyCode.PAGE_DOWN:this.nextPage(t);break;case e.ui.keyCode.HOME:this._move("first","first",t);break;case e.ui.keyCode.END:this._move("last","last",t);break;case e.ui.keyCode.UP:this.previous(t);break;case e.ui.keyCode.DOWN:this.next(t);break;case e.ui.keyCode.LEFT:this.collapse(t);break;case e.ui.keyCode.RIGHT:this.active&&!this.active.is(".ui-state-disabled")&&this.expand(t);break;case e.ui.keyCode.ENTER:case e.ui.keyCode.SPACE:this._activate(t);break;case e.ui.keyCode.ESCAPE:this.collapse(t);break;default:o=!1,s=this.previousFilter||"",n=String.fromCharCode(t.keyCode),a=!1,clearTimeout(this.filterTimer),n===s?a=!0:n=s+n,i=this._filterMenuItems(n),i=a&&-1!==i.index(this.active.next())?this.active.nextAll(".ui-menu-item"):i,i.length||(n=String.fromCharCode(t.keyCode),i=this._filterMenuItems(n)),i.length?(this.focus(t,i),this.previousFilter=n,this.filterTimer=this._delay(function(){delete this.previousFilter},1e3)):delete this.previousFilter}o&&t.preventDefault()},_activate:function(e){this.active.is(".ui-state-disabled")||(this.active.is("[aria-haspopup='true']")?this.expand(e):this.select(e))},refresh:function(){var t,i,s=this,n=this.options.icons.submenu,a=this.element.find(this.options.menus);this.element.toggleClass("ui-menu-icons",!!this.element.find(".ui-icon").length),a.filter(":not(.ui-menu)").addClass("ui-menu ui-widget ui-widget-content ui-front").hide().attr({role:this.options.role,"aria-hidden":"true","aria-expanded":"false"}).each(function(){var t=e(this),i=t.parent(),s=e("<span>").addClass("ui-menu-icon ui-icon "+n).data("ui-menu-submenu-carat",!0);i.attr("aria-haspopup","true").prepend(s),t.attr("aria-labelledby",i.attr("id"))}),t=a.add(this.element),i=t.find(this.options.items),i.not(".ui-menu-item").each(function(){var t=e(this);s._isDivider(t)&&t.addClass("ui-widget-content ui-menu-divider")}),i.not(".ui-menu-item, .ui-menu-divider").addClass("ui-menu-item").uniqueId().attr({tabIndex:-1,role:this._itemRole()}),i.filter(".ui-state-disabled").attr("aria-disabled","true"),this.active&&!e.contains(this.element[0],this.active[0])&&this.blur()},_itemRole:function(){return{menu:"menuitem",listbox:"option"}[this.options.role]},_setOption:function(e,t){"icons"===e&&this.element.find(".ui-menu-icon").removeClass(this.options.icons.submenu).addClass(t.submenu),"disabled"===e&&this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this._super(e,t)},focus:function(e,t){var i,s;this.blur(e,e&&"focus"===e.type),this._scrollIntoView(t),this.active=t.first(),s=this.active.addClass("ui-state-focus").removeClass("ui-state-active"),this.options.role&&this.element.attr("aria-activedescendant",s.attr("id")),this.active.parent().closest(".ui-menu-item").addClass("ui-state-active"),e&&"keydown"===e.type?this._close():this.timer=this._delay(function(){this._close()},this.delay),i=t.children(".ui-menu"),i.length&&e&&/^mouse/.test(e.type)&&this._startOpening(i),this.activeMenu=t.parent(),this._trigger("focus",e,{item:t})},_scrollIntoView:function(t){var i,s,n,a,o,r;this._hasScroll()&&(i=parseFloat(e.css(this.activeMenu[0],"borderTopWidth"))||0,s=parseFloat(e.css(this.activeMenu[0],"paddingTop"))||0,n=t.offset().top-this.activeMenu.offset().top-i-s,a=this.activeMenu.scrollTop(),o=this.activeMenu.height(),r=t.outerHeight(),0>n?this.activeMenu.scrollTop(a+n):n+r>o&&this.activeMenu.scrollTop(a+n-o+r))},blur:function(e,t){t||clearTimeout(this.timer),this.active&&(this.active.removeClass("ui-state-focus"),this.active=null,this._trigger("blur",e,{item:this.active}))},_startOpening:function(e){clearTimeout(this.timer),"true"===e.attr("aria-hidden")&&(this.timer=this._delay(function(){this._close(),this._open(e)},this.delay))},_open:function(t){var i=e.extend({of:this.active},this.options.position);clearTimeout(this.timer),this.element.find(".ui-menu").not(t.parents(".ui-menu")).hide().attr("aria-hidden","true"),t.show().removeAttr("aria-hidden").attr("aria-expanded","true").position(i)},collapseAll:function(t,i){clearTimeout(this.timer),this.timer=this._delay(function(){var s=i?this.element:e(t&&t.target).closest(this.element.find(".ui-menu"));s.length||(s=this.element),this._close(s),this.blur(t),this.activeMenu=s},this.delay)},_close:function(e){e||(e=this.active?this.active.parent():this.element),e.find(".ui-menu").hide().attr("aria-hidden","true").attr("aria-expanded","false").end().find(".ui-state-active").not(".ui-state-focus").removeClass("ui-state-active")},_closeOnDocumentClick:function(t){return!e(t.target).closest(".ui-menu").length},_isDivider:function(e){return!/[^\-\u2014\u2013\s]/.test(e.text())},collapse:function(e){var t=this.active&&this.active.parent().closest(".ui-menu-item",this.element);t&&t.length&&(this._close(),this.focus(e,t))},expand:function(e){var t=this.active&&this.active.children(".ui-menu ").find(this.options.items).first();t&&t.length&&(this._open(t.parent()),this._delay(function(){this.focus(e,t)}))},next:function(e){this._move("next","first",e)},previous:function(e){this._move("prev","last",e)},isFirstItem:function(){return this.active&&!this.active.prevAll(".ui-menu-item").length},isLastItem:function(){return this.active&&!this.active.nextAll(".ui-menu-item").length},_move:function(e,t,i){var s;this.active&&(s="first"===e||"last"===e?this.active["first"===e?"prevAll":"nextAll"](".ui-menu-item").eq(-1):this.active[e+"All"](".ui-menu-item").eq(0)),s&&s.length&&this.active||(s=this.activeMenu.find(this.options.items)[t]()),this.focus(i,s)},nextPage:function(t){var i,s,n;return this.active?(this.isLastItem()||(this._hasScroll()?(s=this.active.offset().top,n=this.element.height(),this.active.nextAll(".ui-menu-item").each(function(){return i=e(this),0>i.offset().top-s-n}),this.focus(t,i)):this.focus(t,this.activeMenu.find(this.options.items)[this.active?"last":"first"]())),void 0):(this.next(t),void 0)},previousPage:function(t){var i,s,n;return this.active?(this.isFirstItem()||(this._hasScroll()?(s=this.active.offset().top,n=this.element.height(),this.active.prevAll(".ui-menu-item").each(function(){return i=e(this),i.offset().top-s+n>0}),this.focus(t,i)):this.focus(t,this.activeMenu.find(this.options.items).first())),void 0):(this.next(t),void 0)},_hasScroll:function(){return this.element.outerHeight()<this.element.prop("scrollHeight")},select:function(t){this.active=this.active||e(t.target).closest(".ui-menu-item");var i={item:this.active};this.active.has(".ui-menu").length||this.collapseAll(t,!0),this._trigger("select",t,i)},_filterMenuItems:function(t){var i=t.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&"),s=RegExp("^"+i,"i");return this.activeMenu.find(this.options.items).filter(".ui-menu-item").filter(function(){return s.test(e.trim(e(this).text()))})}}),e.widget("ui.autocomplete",{version:"1.11.4",defaultElement:"<input>",options:{appendTo:null,autoFocus:!1,delay:300,minLength:1,position:{my:"left top",at:"left bottom",collision:"none"},source:null,change:null,close:null,focus:null,open:null,response:null,search:null,select:null},requestIndex:0,pending:0,_create:function(){var t,i,s,n=this.element[0].nodeName.toLowerCase(),a="textarea"===n,o="input"===n;this.isMultiLine=a?!0:o?!1:this.element.prop("isContentEditable"),this.valueMethod=this.element[a||o?"val":"text"],this.isNewMenu=!0,this.element.addClass("ui-autocomplete-input").attr("autocomplete","off"),this._on(this.element,{keydown:function(n){if(this.element.prop("readOnly"))return t=!0,s=!0,i=!0,void 0;t=!1,s=!1,i=!1;var a=e.ui.keyCode;switch(n.keyCode){case a.PAGE_UP:t=!0,this._move("previousPage",n);break;case a.PAGE_DOWN:t=!0,this._move("nextPage",n);break;case a.UP:t=!0,this._keyEvent("previous",n);break;case a.DOWN:t=!0,this._keyEvent("next",n);break;case a.ENTER:this.menu.active&&(t=!0,n.preventDefault(),this.menu.select(n));break;case a.TAB:this.menu.active&&this.menu.select(n);break;case a.ESCAPE:this.menu.element.is(":visible")&&(this.isMultiLine||this._value(this.term),this.close(n),n.preventDefault());break;default:i=!0,this._searchTimeout(n)}},keypress:function(s){if(t)return t=!1,(!this.isMultiLine||this.menu.element.is(":visible"))&&s.preventDefault(),void 0;if(!i){var n=e.ui.keyCode;switch(s.keyCode){case n.PAGE_UP:this._move("previousPage",s);break;case n.PAGE_DOWN:this._move("nextPage",s);break;case n.UP:this._keyEvent("previous",s);break;case n.DOWN:this._keyEvent("next",s)}}},input:function(e){return s?(s=!1,e.preventDefault(),void 0):(this._searchTimeout(e),void 0)},focus:function(){this.selectedItem=null,this.previous=this._value()},blur:function(e){return this.cancelBlur?(delete this.cancelBlur,void 0):(clearTimeout(this.searching),this.close(e),this._change(e),void 0)}}),this._initSource(),this.menu=e("<ul>").addClass("ui-autocomplete ui-front").appendTo(this._appendTo()).menu({role:null}).hide().menu("instance"),this._on(this.menu.element,{mousedown:function(t){t.preventDefault(),this.cancelBlur=!0,this._delay(function(){delete this.cancelBlur});var i=this.menu.element[0];e(t.target).closest(".ui-menu-item").length||this._delay(function(){var t=this;this.document.one("mousedown",function(s){s.target===t.element[0]||s.target===i||e.contains(i,s.target)||t.close()})})},menufocus:function(t,i){var s,n;return this.isNewMenu&&(this.isNewMenu=!1,t.originalEvent&&/^mouse/.test(t.originalEvent.type))?(this.menu.blur(),this.document.one("mousemove",function(){e(t.target).trigger(t.originalEvent)}),void 0):(n=i.item.data("ui-autocomplete-item"),!1!==this._trigger("focus",t,{item:n})&&t.originalEvent&&/^key/.test(t.originalEvent.type)&&this._value(n.value),s=i.item.attr("aria-label")||n.value,s&&e.trim(s).length&&(this.liveRegion.children().hide(),e("<div>").text(s).appendTo(this.liveRegion)),void 0)},menuselect:function(e,t){var i=t.item.data("ui-autocomplete-item"),s=this.previous;this.element[0]!==this.document[0].activeElement&&(this.element.focus(),this.previous=s,this._delay(function(){this.previous=s,this.selectedItem=i})),!1!==this._trigger("select",e,{item:i})&&this._value(i.value),this.term=this._value(),this.close(e),this.selectedItem=i}}),this.liveRegion=e("<span>",{role:"status","aria-live":"assertive","aria-relevant":"additions"}).addClass("ui-helper-hidden-accessible").appendTo(this.document[0].body),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_destroy:function(){clearTimeout(this.searching),this.element.removeClass("ui-autocomplete-input").removeAttr("autocomplete"),this.menu.element.remove(),this.liveRegion.remove()},_setOption:function(e,t){this._super(e,t),"source"===e&&this._initSource(),"appendTo"===e&&this.menu.element.appendTo(this._appendTo()),"disabled"===e&&t&&this.xhr&&this.xhr.abort()},_appendTo:function(){var t=this.options.appendTo;return t&&(t=t.jquery||t.nodeType?e(t):this.document.find(t).eq(0)),t&&t[0]||(t=this.element.closest(".ui-front")),t.length||(t=this.document[0].body),t},_initSource:function(){var t,i,s=this;e.isArray(this.options.source)?(t=this.options.source,this.source=function(i,s){s(e.ui.autocomplete.filter(t,i.term))}):"string"==typeof this.options.source?(i=this.options.source,this.source=function(t,n){s.xhr&&s.xhr.abort(),s.xhr=e.ajax({url:i,data:t,dataType:"json",success:function(e){n(e)},error:function(){n([])}})}):this.source=this.options.source},_searchTimeout:function(e){clearTimeout(this.searching),this.searching=this._delay(function(){var t=this.term===this._value(),i=this.menu.element.is(":visible"),s=e.altKey||e.ctrlKey||e.metaKey||e.shiftKey;(!t||t&&!i&&!s)&&(this.selectedItem=null,this.search(null,e))},this.options.delay)},search:function(e,t){return e=null!=e?e:this._value(),this.term=this._value(),e.length<this.options.minLength?this.close(t):this._trigger("search",t)!==!1?this._search(e):void 0},_search:function(e){this.pending++,this.element.addClass("ui-autocomplete-loading"),this.cancelSearch=!1,this.source({term:e},this._response())},_response:function(){var t=++this.requestIndex;return e.proxy(function(e){t===this.requestIndex&&this.__response(e),this.pending--,this.pending||this.element.removeClass("ui-autocomplete-loading")},this)},__response:function(e){e&&(e=this._normalize(e)),this._trigger("response",null,{content:e}),!this.options.disabled&&e&&e.length&&!this.cancelSearch?(this._suggest(e),this._trigger("open")):this._close()},close:function(e){this.cancelSearch=!0,this._close(e)},_close:function(e){this.menu.element.is(":visible")&&(this.menu.element.hide(),this.menu.blur(),this.isNewMenu=!0,this._trigger("close",e))},_change:function(e){this.previous!==this._value()&&this._trigger("change",e,{item:this.selectedItem})},_normalize:function(t){return t.length&&t[0].label&&t[0].value?t:e.map(t,function(t){return"string"==typeof t?{label:t,value:t}:e.extend({},t,{label:t.label||t.value,value:t.value||t.label})})},_suggest:function(t){var i=this.menu.element.empty();this._renderMenu(i,t),this.isNewMenu=!0,this.menu.refresh(),i.show(),this._resizeMenu(),i.position(e.extend({of:this.element},this.options.position)),this.options.autoFocus&&this.menu.next()},_resizeMenu:function(){var e=this.menu.element;e.outerWidth(Math.max(e.width("").outerWidth()+1,this.element.outerWidth()))},_renderMenu:function(t,i){var s=this;e.each(i,function(e,i){s._renderItemData(t,i)})},_renderItemData:function(e,t){return this._renderItem(e,t).data("ui-autocomplete-item",t)},_renderItem:function(t,i){return e("<li>").text(i.label).appendTo(t)},_move:function(e,t){return this.menu.element.is(":visible")?this.menu.isFirstItem()&&/^previous/.test(e)||this.menu.isLastItem()&&/^next/.test(e)?(this.isMultiLine||this._value(this.term),this.menu.blur(),void 0):(this.menu[e](t),void 0):(this.search(null,t),void 0)},widget:function(){return this.menu.element},_value:function(){return this.valueMethod.apply(this.element,arguments)},_keyEvent:function(e,t){(!this.isMultiLine||this.menu.element.is(":visible"))&&(this._move(e,t),t.preventDefault())}}),e.extend(e.ui.autocomplete,{escapeRegex:function(e){return e.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&")},filter:function(t,i){var s=RegExp(e.ui.autocomplete.escapeRegex(i),"i");return e.grep(t,function(e){return s.test(e.label||e.value||e)})}}),e.widget("ui.autocomplete",e.ui.autocomplete,{options:{messages:{noResults:"No search results.",results:function(e){return e+(e>1?" results are":" result is")+" available, use up and down arrow keys to navigate."}}},__response:function(t){var i;this._superApply(arguments),this.options.disabled||this.cancelSearch||(i=t&&t.length?this.options.messages.results(t.length):this.options.messages.noResults,this.liveRegion.children().hide(),e("<div>").text(i).appendTo(this.liveRegion))}}),e.ui.autocomplete;var r,h="ui-button ui-widget ui-state-default ui-corner-all",l="ui-button-icons-only ui-button-icon-only ui-button-text-icons ui-button-text-icon-primary ui-button-text-icon-secondary ui-button-text-only",u=function(){var t=e(this);setTimeout(function(){t.find(":ui-button").button("refresh")},1)},d=function(t){var i=t.name,s=t.form,n=e([]);return i&&(i=i.replace(/'/g,"\\'"),n=s?e(s).find("[name='"+i+"'][type=radio]"):e("[name='"+i+"'][type=radio]",t.ownerDocument).filter(function(){return!this.form})),n};e.widget("ui.button",{version:"1.11.4",defaultElement:"<button>",options:{disabled:null,text:!0,label:null,icons:{primary:null,secondary:null}},_create:function(){this.element.closest("form").unbind("reset"+this.eventNamespace).bind("reset"+this.eventNamespace,u),"boolean"!=typeof this.options.disabled?this.options.disabled=!!this.element.prop("disabled"):this.element.prop("disabled",this.options.disabled),this._determineButtonType(),this.hasTitle=!!this.buttonElement.attr("title");var t=this,i=this.options,s="checkbox"===this.type||"radio"===this.type,n=s?"":"ui-state-active";null===i.label&&(i.label="input"===this.type?this.buttonElement.val():this.buttonElement.html()),this._hoverable(this.buttonElement),this.buttonElement.addClass(h).attr("role","button").bind("mouseenter"+this.eventNamespace,function(){i.disabled||this===r&&e(this).addClass("ui-state-active")}).bind("mouseleave"+this.eventNamespace,function(){i.disabled||e(this).removeClass(n)}).bind("click"+this.eventNamespace,function(e){i.disabled&&(e.preventDefault(),e.stopImmediatePropagation())}),this._on({focus:function(){this.buttonElement.addClass("ui-state-focus")},blur:function(){this.buttonElement.removeClass("ui-state-focus")}}),s&&this.element.bind("change"+this.eventNamespace,function(){t.refresh()}),"checkbox"===this.type?this.buttonElement.bind("click"+this.eventNamespace,function(){return i.disabled?!1:void 0}):"radio"===this.type?this.buttonElement.bind("click"+this.eventNamespace,function(){if(i.disabled)return!1;e(this).addClass("ui-state-active"),t.buttonElement.attr("aria-pressed","true");var s=t.element[0];d(s).not(s).map(function(){return e(this).button("widget")[0]}).removeClass("ui-state-active").attr("aria-pressed","false")}):(this.buttonElement.bind("mousedown"+this.eventNamespace,function(){return i.disabled?!1:(e(this).addClass("ui-state-active"),r=this,t.document.one("mouseup",function(){r=null}),void 0)}).bind("mouseup"+this.eventNamespace,function(){return i.disabled?!1:(e(this).removeClass("ui-state-active"),void 0)}).bind("keydown"+this.eventNamespace,function(t){return i.disabled?!1:((t.keyCode===e.ui.keyCode.SPACE||t.keyCode===e.ui.keyCode.ENTER)&&e(this).addClass("ui-state-active"),void 0)}).bind("keyup"+this.eventNamespace+" blur"+this.eventNamespace,function(){e(this).removeClass("ui-state-active")}),this.buttonElement.is("a")&&this.buttonElement.keyup(function(t){t.keyCode===e.ui.keyCode.SPACE&&e(this).click()})),this._setOption("disabled",i.disabled),this._resetButton()},_determineButtonType:function(){var e,t,i;this.type=this.element.is("[type=checkbox]")?"checkbox":this.element.is("[type=radio]")?"radio":this.element.is("input")?"input":"button","checkbox"===this.type||"radio"===this.type?(e=this.element.parents().last(),t="label[for='"+this.element.attr("id")+"']",this.buttonElement=e.find(t),this.buttonElement.length||(e=e.length?e.siblings():this.element.siblings(),this.buttonElement=e.filter(t),this.buttonElement.length||(this.buttonElement=e.find(t))),this.element.addClass("ui-helper-hidden-accessible"),i=this.element.is(":checked"),i&&this.buttonElement.addClass("ui-state-active"),this.buttonElement.prop("aria-pressed",i)):this.buttonElement=this.element},widget:function(){return this.buttonElement},_destroy:function(){this.element.removeClass("ui-helper-hidden-accessible"),this.buttonElement.removeClass(h+" ui-state-active "+l).removeAttr("role").removeAttr("aria-pressed").html(this.buttonElement.find(".ui-button-text").html()),this.hasTitle||this.buttonElement.removeAttr("title")},_setOption:function(e,t){return this._super(e,t),"disabled"===e?(this.widget().toggleClass("ui-state-disabled",!!t),this.element.prop("disabled",!!t),t&&("checkbox"===this.type||"radio"===this.type?this.buttonElement.removeClass("ui-state-focus"):this.buttonElement.removeClass("ui-state-focus ui-state-active")),void 0):(this._resetButton(),void 0)},refresh:function(){var t=this.element.is("input, button")?this.element.is(":disabled"):this.element.hasClass("ui-button-disabled");t!==this.options.disabled&&this._setOption("disabled",t),"radio"===this.type?d(this.element[0]).each(function(){e(this).is(":checked")?e(this).button("widget").addClass("ui-state-active").attr("aria-pressed","true"):e(this).button("widget").removeClass("ui-state-active").attr("aria-pressed","false")}):"checkbox"===this.type&&(this.element.is(":checked")?this.buttonElement.addClass("ui-state-active").attr("aria-pressed","true"):this.buttonElement.removeClass("ui-state-active").attr("aria-pressed","false"))},_resetButton:function(){if("input"===this.type)return this.options.label&&this.element.val(this.options.label),void 0;var t=this.buttonElement.removeClass(l),i=e("<span></span>",this.document[0]).addClass("ui-button-text").html(this.options.label).appendTo(t.empty()).text(),s=this.options.icons,n=s.primary&&s.secondary,a=[];s.primary||s.secondary?(this.options.text&&a.push("ui-button-text-icon"+(n?"s":s.primary?"-primary":"-secondary")),s.primary&&t.prepend("<span class='ui-button-icon-primary ui-icon "+s.primary+"'></span>"),s.secondary&&t.append("<span class='ui-button-icon-secondary ui-icon "+s.secondary+"'></span>"),this.options.text||(a.push(n?"ui-button-icons-only":"ui-button-icon-only"),this.hasTitle||t.attr("title",e.trim(i)))):a.push("ui-button-text-only"),t.addClass(a.join(" "))}}),e.widget("ui.buttonset",{version:"1.11.4",options:{items:"button, input[type=button], input[type=submit], input[type=reset], input[type=checkbox], input[type=radio], a, :data(ui-button)"},_create:function(){this.element.addClass("ui-buttonset")},_init:function(){this.refresh()},_setOption:function(e,t){"disabled"===e&&this.buttons.button("option",e,t),this._super(e,t)},refresh:function(){var t="rtl"===this.element.css("direction"),i=this.element.find(this.options.items),s=i.filter(":ui-button");i.not(":ui-button").button(),s.button("refresh"),this.buttons=i.map(function(){return e(this).button("widget")[0]}).removeClass("ui-corner-all ui-corner-left ui-corner-right").filter(":first").addClass(t?"ui-corner-right":"ui-corner-left").end().filter(":last").addClass(t?"ui-corner-left":"ui-corner-right").end().end()},_destroy:function(){this.element.removeClass("ui-buttonset"),this.buttons.map(function(){return e(this).button("widget")[0]}).removeClass("ui-corner-left ui-corner-right").end().button("destroy")}}),e.ui.button,e.widget("ui.dialog",{version:"1.11.4",options:{appendTo:"body",autoOpen:!0,buttons:[],closeOnEscape:!0,closeText:"Close",dialogClass:"",draggable:!0,hide:null,height:"auto",maxHeight:null,maxWidth:null,minHeight:150,minWidth:150,modal:!1,position:{my:"center",at:"center",of:window,collision:"fit",using:function(t){var i=e(this).css(t).offset().top;0>i&&e(this).css("top",t.top-i)}},resizable:!0,show:null,title:null,width:300,beforeClose:null,close:null,drag:null,dragStart:null,dragStop:null,focus:null,open:null,resize:null,resizeStart:null,resizeStop:null},sizeRelatedOptions:{buttons:!0,height:!0,maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0,width:!0},resizableRelatedOptions:{maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0},_create:function(){this.originalCss={display:this.element[0].style.display,width:this.element[0].style.width,minHeight:this.element[0].style.minHeight,maxHeight:this.element[0].style.maxHeight,height:this.element[0].style.height},this.originalPosition={parent:this.element.parent(),index:this.element.parent().children().index(this.element)},this.originalTitle=this.element.attr("title"),this.options.title=this.options.title||this.originalTitle,this._createWrapper(),this.element.show().removeAttr("title").addClass("ui-dialog-content ui-widget-content").appendTo(this.uiDialog),this._createTitlebar(),this._createButtonPane(),this.options.draggable&&e.fn.draggable&&this._makeDraggable(),this.options.resizable&&e.fn.resizable&&this._makeResizable(),this._isOpen=!1,this._trackFocus()},_init:function(){this.options.autoOpen&&this.open()},_appendTo:function(){var t=this.options.appendTo;return t&&(t.jquery||t.nodeType)?e(t):this.document.find(t||"body").eq(0)},_destroy:function(){var e,t=this.originalPosition;this._untrackInstance(),this._destroyOverlay(),this.element.removeUniqueId().removeClass("ui-dialog-content ui-widget-content").css(this.originalCss).detach(),this.uiDialog.stop(!0,!0).remove(),this.originalTitle&&this.element.attr("title",this.originalTitle),e=t.parent.children().eq(t.index),e.length&&e[0]!==this.element[0]?e.before(this.element):t.parent.append(this.element)},widget:function(){return this.uiDialog},disable:e.noop,enable:e.noop,close:function(t){var i,s=this;if(this._isOpen&&this._trigger("beforeClose",t)!==!1){if(this._isOpen=!1,this._focusedElement=null,this._destroyOverlay(),this._untrackInstance(),!this.opener.filter(":focusable").focus().length)try{i=this.document[0].activeElement,i&&"body"!==i.nodeName.toLowerCase()&&e(i).blur()}catch(n){}this._hide(this.uiDialog,this.options.hide,function(){s._trigger("close",t)})}},isOpen:function(){return this._isOpen},moveToTop:function(){this._moveToTop()},_moveToTop:function(t,i){var s=!1,n=this.uiDialog.siblings(".ui-front:visible").map(function(){return+e(this).css("z-index")}).get(),a=Math.max.apply(null,n);return a>=+this.uiDialog.css("z-index")&&(this.uiDialog.css("z-index",a+1),s=!0),s&&!i&&this._trigger("focus",t),s},open:function(){var t=this;return this._isOpen?(this._moveToTop()&&this._focusTabbable(),void 0):(this._isOpen=!0,this.opener=e(this.document[0].activeElement),this._size(),this._position(),this._createOverlay(),this._moveToTop(null,!0),this.overlay&&this.overlay.css("z-index",this.uiDialog.css("z-index")-1),this._show(this.uiDialog,this.options.show,function(){t._focusTabbable(),t._trigger("focus")}),this._makeFocusTarget(),this._trigger("open"),void 0)},_focusTabbable:function(){var e=this._focusedElement;e||(e=this.element.find("[autofocus]")),e.length||(e=this.element.find(":tabbable")),e.length||(e=this.uiDialogButtonPane.find(":tabbable")),e.length||(e=this.uiDialogTitlebarClose.filter(":tabbable")),e.length||(e=this.uiDialog),e.eq(0).focus()},_keepFocus:function(t){function i(){var t=this.document[0].activeElement,i=this.uiDialog[0]===t||e.contains(this.uiDialog[0],t);i||this._focusTabbable()}t.preventDefault(),i.call(this),this._delay(i)},_createWrapper:function(){this.uiDialog=e("<div>").addClass("ui-dialog ui-widget ui-widget-content ui-corner-all ui-front "+this.options.dialogClass).hide().attr({tabIndex:-1,role:"dialog"}).appendTo(this._appendTo()),this._on(this.uiDialog,{keydown:function(t){if(this.options.closeOnEscape&&!t.isDefaultPrevented()&&t.keyCode&&t.keyCode===e.ui.keyCode.ESCAPE)return t.preventDefault(),this.close(t),void 0;if(t.keyCode===e.ui.keyCode.TAB&&!t.isDefaultPrevented()){var i=this.uiDialog.find(":tabbable"),s=i.filter(":first"),n=i.filter(":last");t.target!==n[0]&&t.target!==this.uiDialog[0]||t.shiftKey?t.target!==s[0]&&t.target!==this.uiDialog[0]||!t.shiftKey||(this._delay(function(){n.focus()}),t.preventDefault()):(this._delay(function(){s.focus()}),t.preventDefault())}},mousedown:function(e){this._moveToTop(e)&&this._focusTabbable()}}),this.element.find("[aria-describedby]").length||this.uiDialog.attr({"aria-describedby":this.element.uniqueId().attr("id")})},_createTitlebar:function(){var t;this.uiDialogTitlebar=e("<div>").addClass("ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix").prependTo(this.uiDialog),this._on(this.uiDialogTitlebar,{mousedown:function(t){e(t.target).closest(".ui-dialog-titlebar-close")||this.uiDialog.focus()}}),this.uiDialogTitlebarClose=e("<button type='button'></button>").button({label:this.options.closeText,icons:{primary:"ui-icon-closethick"},text:!1}).addClass("ui-dialog-titlebar-close").appendTo(this.uiDialogTitlebar),this._on(this.uiDialogTitlebarClose,{click:function(e){e.preventDefault(),this.close(e)}}),t=e("<span>").uniqueId().addClass("ui-dialog-title").prependTo(this.uiDialogTitlebar),this._title(t),this.uiDialog.attr({"aria-labelledby":t.attr("id")})},_title:function(e){this.options.title||e.html(" "),e.text(this.options.title) +},_createButtonPane:function(){this.uiDialogButtonPane=e("<div>").addClass("ui-dialog-buttonpane ui-widget-content ui-helper-clearfix"),this.uiButtonSet=e("<div>").addClass("ui-dialog-buttonset").appendTo(this.uiDialogButtonPane),this._createButtons()},_createButtons:function(){var t=this,i=this.options.buttons;return this.uiDialogButtonPane.remove(),this.uiButtonSet.empty(),e.isEmptyObject(i)||e.isArray(i)&&!i.length?(this.uiDialog.removeClass("ui-dialog-buttons"),void 0):(e.each(i,function(i,s){var n,a;s=e.isFunction(s)?{click:s,text:i}:s,s=e.extend({type:"button"},s),n=s.click,s.click=function(){n.apply(t.element[0],arguments)},a={icons:s.icons,text:s.showText},delete s.icons,delete s.showText,e("<button></button>",s).button(a).appendTo(t.uiButtonSet)}),this.uiDialog.addClass("ui-dialog-buttons"),this.uiDialogButtonPane.appendTo(this.uiDialog),void 0)},_makeDraggable:function(){function t(e){return{position:e.position,offset:e.offset}}var i=this,s=this.options;this.uiDialog.draggable({cancel:".ui-dialog-content, .ui-dialog-titlebar-close",handle:".ui-dialog-titlebar",containment:"document",start:function(s,n){e(this).addClass("ui-dialog-dragging"),i._blockFrames(),i._trigger("dragStart",s,t(n))},drag:function(e,s){i._trigger("drag",e,t(s))},stop:function(n,a){var o=a.offset.left-i.document.scrollLeft(),r=a.offset.top-i.document.scrollTop();s.position={my:"left top",at:"left"+(o>=0?"+":"")+o+" "+"top"+(r>=0?"+":"")+r,of:i.window},e(this).removeClass("ui-dialog-dragging"),i._unblockFrames(),i._trigger("dragStop",n,t(a))}})},_makeResizable:function(){function t(e){return{originalPosition:e.originalPosition,originalSize:e.originalSize,position:e.position,size:e.size}}var i=this,s=this.options,n=s.resizable,a=this.uiDialog.css("position"),o="string"==typeof n?n:"n,e,s,w,se,sw,ne,nw";this.uiDialog.resizable({cancel:".ui-dialog-content",containment:"document",alsoResize:this.element,maxWidth:s.maxWidth,maxHeight:s.maxHeight,minWidth:s.minWidth,minHeight:this._minHeight(),handles:o,start:function(s,n){e(this).addClass("ui-dialog-resizing"),i._blockFrames(),i._trigger("resizeStart",s,t(n))},resize:function(e,s){i._trigger("resize",e,t(s))},stop:function(n,a){var o=i.uiDialog.offset(),r=o.left-i.document.scrollLeft(),h=o.top-i.document.scrollTop();s.height=i.uiDialog.height(),s.width=i.uiDialog.width(),s.position={my:"left top",at:"left"+(r>=0?"+":"")+r+" "+"top"+(h>=0?"+":"")+h,of:i.window},e(this).removeClass("ui-dialog-resizing"),i._unblockFrames(),i._trigger("resizeStop",n,t(a))}}).css("position",a)},_trackFocus:function(){this._on(this.widget(),{focusin:function(t){this._makeFocusTarget(),this._focusedElement=e(t.target)}})},_makeFocusTarget:function(){this._untrackInstance(),this._trackingInstances().unshift(this)},_untrackInstance:function(){var t=this._trackingInstances(),i=e.inArray(this,t);-1!==i&&t.splice(i,1)},_trackingInstances:function(){var e=this.document.data("ui-dialog-instances");return e||(e=[],this.document.data("ui-dialog-instances",e)),e},_minHeight:function(){var e=this.options;return"auto"===e.height?e.minHeight:Math.min(e.minHeight,e.height)},_position:function(){var e=this.uiDialog.is(":visible");e||this.uiDialog.show(),this.uiDialog.position(this.options.position),e||this.uiDialog.hide()},_setOptions:function(t){var i=this,s=!1,n={};e.each(t,function(e,t){i._setOption(e,t),e in i.sizeRelatedOptions&&(s=!0),e in i.resizableRelatedOptions&&(n[e]=t)}),s&&(this._size(),this._position()),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option",n)},_setOption:function(e,t){var i,s,n=this.uiDialog;"dialogClass"===e&&n.removeClass(this.options.dialogClass).addClass(t),"disabled"!==e&&(this._super(e,t),"appendTo"===e&&this.uiDialog.appendTo(this._appendTo()),"buttons"===e&&this._createButtons(),"closeText"===e&&this.uiDialogTitlebarClose.button({label:""+t}),"draggable"===e&&(i=n.is(":data(ui-draggable)"),i&&!t&&n.draggable("destroy"),!i&&t&&this._makeDraggable()),"position"===e&&this._position(),"resizable"===e&&(s=n.is(":data(ui-resizable)"),s&&!t&&n.resizable("destroy"),s&&"string"==typeof t&&n.resizable("option","handles",t),s||t===!1||this._makeResizable()),"title"===e&&this._title(this.uiDialogTitlebar.find(".ui-dialog-title")))},_size:function(){var e,t,i,s=this.options;this.element.show().css({width:"auto",minHeight:0,maxHeight:"none",height:0}),s.minWidth>s.width&&(s.width=s.minWidth),e=this.uiDialog.css({height:"auto",width:s.width}).outerHeight(),t=Math.max(0,s.minHeight-e),i="number"==typeof s.maxHeight?Math.max(0,s.maxHeight-e):"none","auto"===s.height?this.element.css({minHeight:t,maxHeight:i,height:"auto"}):this.element.height(Math.max(0,s.height-e)),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option","minHeight",this._minHeight())},_blockFrames:function(){this.iframeBlocks=this.document.find("iframe").map(function(){var t=e(this);return e("<div>").css({position:"absolute",width:t.outerWidth(),height:t.outerHeight()}).appendTo(t.parent()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_allowInteraction:function(t){return e(t.target).closest(".ui-dialog").length?!0:!!e(t.target).closest(".ui-datepicker").length},_createOverlay:function(){if(this.options.modal){var t=!0;this._delay(function(){t=!1}),this.document.data("ui-dialog-overlays")||this._on(this.document,{focusin:function(e){t||this._allowInteraction(e)||(e.preventDefault(),this._trackingInstances()[0]._focusTabbable())}}),this.overlay=e("<div>").addClass("ui-widget-overlay ui-front").appendTo(this._appendTo()),this._on(this.overlay,{mousedown:"_keepFocus"}),this.document.data("ui-dialog-overlays",(this.document.data("ui-dialog-overlays")||0)+1)}},_destroyOverlay:function(){if(this.options.modal&&this.overlay){var e=this.document.data("ui-dialog-overlays")-1;e?this.document.data("ui-dialog-overlays",e):this.document.unbind("focusin").removeData("ui-dialog-overlays"),this.overlay.remove(),this.overlay=null}}}),e.widget("ui.progressbar",{version:"1.11.4",options:{max:100,value:0,change:null,complete:null},min:0,_create:function(){this.oldValue=this.options.value=this._constrainedValue(),this.element.addClass("ui-progressbar ui-widget ui-widget-content ui-corner-all").attr({role:"progressbar","aria-valuemin":this.min}),this.valueDiv=e("<div class='ui-progressbar-value ui-widget-header ui-corner-left'></div>").appendTo(this.element),this._refreshValue()},_destroy:function(){this.element.removeClass("ui-progressbar ui-widget ui-widget-content ui-corner-all").removeAttr("role").removeAttr("aria-valuemin").removeAttr("aria-valuemax").removeAttr("aria-valuenow"),this.valueDiv.remove()},value:function(e){return void 0===e?this.options.value:(this.options.value=this._constrainedValue(e),this._refreshValue(),void 0)},_constrainedValue:function(e){return void 0===e&&(e=this.options.value),this.indeterminate=e===!1,"number"!=typeof e&&(e=0),this.indeterminate?!1:Math.min(this.options.max,Math.max(this.min,e))},_setOptions:function(e){var t=e.value;delete e.value,this._super(e),this.options.value=this._constrainedValue(t),this._refreshValue()},_setOption:function(e,t){"max"===e&&(t=Math.max(this.min,t)),"disabled"===e&&this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this._super(e,t)},_percentage:function(){return this.indeterminate?100:100*(this.options.value-this.min)/(this.options.max-this.min)},_refreshValue:function(){var t=this.options.value,i=this._percentage();this.valueDiv.toggle(this.indeterminate||t>this.min).toggleClass("ui-corner-right",t===this.options.max).width(i.toFixed(0)+"%"),this.element.toggleClass("ui-progressbar-indeterminate",this.indeterminate),this.indeterminate?(this.element.removeAttr("aria-valuenow"),this.overlayDiv||(this.overlayDiv=e("<div class='ui-progressbar-overlay'></div>").appendTo(this.valueDiv))):(this.element.attr({"aria-valuemax":this.options.max,"aria-valuenow":t}),this.overlayDiv&&(this.overlayDiv.remove(),this.overlayDiv=null)),this.oldValue!==t&&(this.oldValue=t,this._trigger("change")),t===this.options.max&&this._trigger("complete")}}),e.widget("ui.selectmenu",{version:"1.11.4",defaultElement:"<select>",options:{appendTo:null,disabled:null,icons:{button:"ui-icon-triangle-1-s"},position:{my:"left top",at:"left bottom",collision:"none"},width:null,change:null,close:null,focus:null,open:null,select:null},_create:function(){var e=this.element.uniqueId().attr("id");this.ids={element:e,button:e+"-button",menu:e+"-menu"},this._drawButton(),this._drawMenu(),this.options.disabled&&this.disable()},_drawButton:function(){var t=this;this.label=e("label[for='"+this.ids.element+"']").attr("for",this.ids.button),this._on(this.label,{click:function(e){this.button.focus(),e.preventDefault()}}),this.element.hide(),this.button=e("<span>",{"class":"ui-selectmenu-button ui-widget ui-state-default ui-corner-all",tabindex:this.options.disabled?-1:0,id:this.ids.button,role:"combobox","aria-expanded":"false","aria-autocomplete":"list","aria-owns":this.ids.menu,"aria-haspopup":"true"}).insertAfter(this.element),e("<span>",{"class":"ui-icon "+this.options.icons.button}).prependTo(this.button),this.buttonText=e("<span>",{"class":"ui-selectmenu-text"}).appendTo(this.button),this._setText(this.buttonText,this.element.find("option:selected").text()),this._resizeButton(),this._on(this.button,this._buttonEvents),this.button.one("focusin",function(){t.menuItems||t._refreshMenu()}),this._hoverable(this.button),this._focusable(this.button)},_drawMenu:function(){var t=this;this.menu=e("<ul>",{"aria-hidden":"true","aria-labelledby":this.ids.button,id:this.ids.menu}),this.menuWrap=e("<div>",{"class":"ui-selectmenu-menu ui-front"}).append(this.menu).appendTo(this._appendTo()),this.menuInstance=this.menu.menu({role:"listbox",select:function(e,i){e.preventDefault(),t._setSelection(),t._select(i.item.data("ui-selectmenu-item"),e)},focus:function(e,i){var s=i.item.data("ui-selectmenu-item");null!=t.focusIndex&&s.index!==t.focusIndex&&(t._trigger("focus",e,{item:s}),t.isOpen||t._select(s,e)),t.focusIndex=s.index,t.button.attr("aria-activedescendant",t.menuItems.eq(s.index).attr("id"))}}).menu("instance"),this.menu.addClass("ui-corner-bottom").removeClass("ui-corner-all"),this.menuInstance._off(this.menu,"mouseleave"),this.menuInstance._closeOnDocumentClick=function(){return!1},this.menuInstance._isDivider=function(){return!1}},refresh:function(){this._refreshMenu(),this._setText(this.buttonText,this._getSelectedItem().text()),this.options.width||this._resizeButton()},_refreshMenu:function(){this.menu.empty();var e,t=this.element.find("option");t.length&&(this._parseOptions(t),this._renderMenu(this.menu,this.items),this.menuInstance.refresh(),this.menuItems=this.menu.find("li").not(".ui-selectmenu-optgroup"),e=this._getSelectedItem(),this.menuInstance.focus(null,e),this._setAria(e.data("ui-selectmenu-item")),this._setOption("disabled",this.element.prop("disabled")))},open:function(e){this.options.disabled||(this.menuItems?(this.menu.find(".ui-state-focus").removeClass("ui-state-focus"),this.menuInstance.focus(null,this._getSelectedItem())):this._refreshMenu(),this.isOpen=!0,this._toggleAttr(),this._resizeMenu(),this._position(),this._on(this.document,this._documentClick),this._trigger("open",e))},_position:function(){this.menuWrap.position(e.extend({of:this.button},this.options.position))},close:function(e){this.isOpen&&(this.isOpen=!1,this._toggleAttr(),this.range=null,this._off(this.document),this._trigger("close",e))},widget:function(){return this.button},menuWidget:function(){return this.menu},_renderMenu:function(t,i){var s=this,n="";e.each(i,function(i,a){a.optgroup!==n&&(e("<li>",{"class":"ui-selectmenu-optgroup ui-menu-divider"+(a.element.parent("optgroup").prop("disabled")?" ui-state-disabled":""),text:a.optgroup}).appendTo(t),n=a.optgroup),s._renderItemData(t,a)})},_renderItemData:function(e,t){return this._renderItem(e,t).data("ui-selectmenu-item",t)},_renderItem:function(t,i){var s=e("<li>");return i.disabled&&s.addClass("ui-state-disabled"),this._setText(s,i.label),s.appendTo(t)},_setText:function(e,t){t?e.text(t):e.html(" ")},_move:function(e,t){var i,s,n=".ui-menu-item";this.isOpen?i=this.menuItems.eq(this.focusIndex):(i=this.menuItems.eq(this.element[0].selectedIndex),n+=":not(.ui-state-disabled)"),s="first"===e||"last"===e?i["first"===e?"prevAll":"nextAll"](n).eq(-1):i[e+"All"](n).eq(0),s.length&&this.menuInstance.focus(t,s)},_getSelectedItem:function(){return this.menuItems.eq(this.element[0].selectedIndex)},_toggle:function(e){this[this.isOpen?"close":"open"](e)},_setSelection:function(){var e;this.range&&(window.getSelection?(e=window.getSelection(),e.removeAllRanges(),e.addRange(this.range)):this.range.select(),this.button.focus())},_documentClick:{mousedown:function(t){this.isOpen&&(e(t.target).closest(".ui-selectmenu-menu, #"+this.ids.button).length||this.close(t))}},_buttonEvents:{mousedown:function(){var e;window.getSelection?(e=window.getSelection(),e.rangeCount&&(this.range=e.getRangeAt(0))):this.range=document.selection.createRange()},click:function(e){this._setSelection(),this._toggle(e)},keydown:function(t){var i=!0;switch(t.keyCode){case e.ui.keyCode.TAB:case e.ui.keyCode.ESCAPE:this.close(t),i=!1;break;case e.ui.keyCode.ENTER:this.isOpen&&this._selectFocusedItem(t);break;case e.ui.keyCode.UP:t.altKey?this._toggle(t):this._move("prev",t);break;case e.ui.keyCode.DOWN:t.altKey?this._toggle(t):this._move("next",t);break;case e.ui.keyCode.SPACE:this.isOpen?this._selectFocusedItem(t):this._toggle(t);break;case e.ui.keyCode.LEFT:this._move("prev",t);break;case e.ui.keyCode.RIGHT:this._move("next",t);break;case e.ui.keyCode.HOME:case e.ui.keyCode.PAGE_UP:this._move("first",t);break;case e.ui.keyCode.END:case e.ui.keyCode.PAGE_DOWN:this._move("last",t);break;default:this.menu.trigger(t),i=!1}i&&t.preventDefault()}},_selectFocusedItem:function(e){var t=this.menuItems.eq(this.focusIndex);t.hasClass("ui-state-disabled")||this._select(t.data("ui-selectmenu-item"),e)},_select:function(e,t){var i=this.element[0].selectedIndex;this.element[0].selectedIndex=e.index,this._setText(this.buttonText,e.label),this._setAria(e),this._trigger("select",t,{item:e}),e.index!==i&&this._trigger("change",t,{item:e}),this.close(t)},_setAria:function(e){var t=this.menuItems.eq(e.index).attr("id");this.button.attr({"aria-labelledby":t,"aria-activedescendant":t}),this.menu.attr("aria-activedescendant",t)},_setOption:function(e,t){"icons"===e&&this.button.find("span.ui-icon").removeClass(this.options.icons.button).addClass(t.button),this._super(e,t),"appendTo"===e&&this.menuWrap.appendTo(this._appendTo()),"disabled"===e&&(this.menuInstance.option("disabled",t),this.button.toggleClass("ui-state-disabled",t).attr("aria-disabled",t),this.element.prop("disabled",t),t?(this.button.attr("tabindex",-1),this.close()):this.button.attr("tabindex",0)),"width"===e&&this._resizeButton()},_appendTo:function(){var t=this.options.appendTo;return t&&(t=t.jquery||t.nodeType?e(t):this.document.find(t).eq(0)),t&&t[0]||(t=this.element.closest(".ui-front")),t.length||(t=this.document[0].body),t},_toggleAttr:function(){this.button.toggleClass("ui-corner-top",this.isOpen).toggleClass("ui-corner-all",!this.isOpen).attr("aria-expanded",this.isOpen),this.menuWrap.toggleClass("ui-selectmenu-open",this.isOpen),this.menu.attr("aria-hidden",!this.isOpen)},_resizeButton:function(){var e=this.options.width;e||(e=this.element.show().outerWidth(),this.element.hide()),this.button.outerWidth(e)},_resizeMenu:function(){this.menu.outerWidth(Math.max(this.button.outerWidth(),this.menu.width("").outerWidth()+1))},_getCreateOptions:function(){return{disabled:this.element.prop("disabled")}},_parseOptions:function(t){var i=[];t.each(function(t,s){var n=e(s),a=n.parent("optgroup");i.push({element:n,index:t,value:n.val(),label:n.text(),optgroup:a.attr("label")||"",disabled:a.prop("disabled")||n.prop("disabled")})}),this.items=i},_destroy:function(){this.menuWrap.remove(),this.button.remove(),this.element.show(),this.element.removeUniqueId(),this.label.attr("for",this.ids.element)}}),e.widget("ui.slider",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"slide",options:{animate:!1,distance:0,max:100,min:0,orientation:"horizontal",range:!1,step:1,value:0,values:null,change:null,slide:null,start:null,stop:null},numPages:5,_create:function(){this._keySliding=!1,this._mouseSliding=!1,this._animateOff=!0,this._handleIndex=null,this._detectOrientation(),this._mouseInit(),this._calculateNewMax(),this.element.addClass("ui-slider ui-slider-"+this.orientation+" ui-widget"+" ui-widget-content"+" ui-corner-all"),this._refresh(),this._setOption("disabled",this.options.disabled),this._animateOff=!1},_refresh:function(){this._createRange(),this._createHandles(),this._setupEvents(),this._refreshValue()},_createHandles:function(){var t,i,s=this.options,n=this.element.find(".ui-slider-handle").addClass("ui-state-default ui-corner-all"),a="<span class='ui-slider-handle ui-state-default ui-corner-all' tabindex='0'></span>",o=[];for(i=s.values&&s.values.length||1,n.length>i&&(n.slice(i).remove(),n=n.slice(0,i)),t=n.length;i>t;t++)o.push(a);this.handles=n.add(e(o.join("")).appendTo(this.element)),this.handle=this.handles.eq(0),this.handles.each(function(t){e(this).data("ui-slider-handle-index",t)})},_createRange:function(){var t=this.options,i="";t.range?(t.range===!0&&(t.values?t.values.length&&2!==t.values.length?t.values=[t.values[0],t.values[0]]:e.isArray(t.values)&&(t.values=t.values.slice(0)):t.values=[this._valueMin(),this._valueMin()]),this.range&&this.range.length?this.range.removeClass("ui-slider-range-min ui-slider-range-max").css({left:"",bottom:""}):(this.range=e("<div></div>").appendTo(this.element),i="ui-slider-range ui-widget-header ui-corner-all"),this.range.addClass(i+("min"===t.range||"max"===t.range?" ui-slider-range-"+t.range:""))):(this.range&&this.range.remove(),this.range=null)},_setupEvents:function(){this._off(this.handles),this._on(this.handles,this._handleEvents),this._hoverable(this.handles),this._focusable(this.handles)},_destroy:function(){this.handles.remove(),this.range&&this.range.remove(),this.element.removeClass("ui-slider ui-slider-horizontal ui-slider-vertical ui-widget ui-widget-content ui-corner-all"),this._mouseDestroy()},_mouseCapture:function(t){var i,s,n,a,o,r,h,l,u=this,d=this.options;return d.disabled?!1:(this.elementSize={width:this.element.outerWidth(),height:this.element.outerHeight()},this.elementOffset=this.element.offset(),i={x:t.pageX,y:t.pageY},s=this._normValueFromMouse(i),n=this._valueMax()-this._valueMin()+1,this.handles.each(function(t){var i=Math.abs(s-u.values(t));(n>i||n===i&&(t===u._lastChangedValue||u.values(t)===d.min))&&(n=i,a=e(this),o=t)}),r=this._start(t,o),r===!1?!1:(this._mouseSliding=!0,this._handleIndex=o,a.addClass("ui-state-active").focus(),h=a.offset(),l=!e(t.target).parents().addBack().is(".ui-slider-handle"),this._clickOffset=l?{left:0,top:0}:{left:t.pageX-h.left-a.width()/2,top:t.pageY-h.top-a.height()/2-(parseInt(a.css("borderTopWidth"),10)||0)-(parseInt(a.css("borderBottomWidth"),10)||0)+(parseInt(a.css("marginTop"),10)||0)},this.handles.hasClass("ui-state-hover")||this._slide(t,o,s),this._animateOff=!0,!0))},_mouseStart:function(){return!0},_mouseDrag:function(e){var t={x:e.pageX,y:e.pageY},i=this._normValueFromMouse(t);return this._slide(e,this._handleIndex,i),!1},_mouseStop:function(e){return this.handles.removeClass("ui-state-active"),this._mouseSliding=!1,this._stop(e,this._handleIndex),this._change(e,this._handleIndex),this._handleIndex=null,this._clickOffset=null,this._animateOff=!1,!1},_detectOrientation:function(){this.orientation="vertical"===this.options.orientation?"vertical":"horizontal"},_normValueFromMouse:function(e){var t,i,s,n,a;return"horizontal"===this.orientation?(t=this.elementSize.width,i=e.x-this.elementOffset.left-(this._clickOffset?this._clickOffset.left:0)):(t=this.elementSize.height,i=e.y-this.elementOffset.top-(this._clickOffset?this._clickOffset.top:0)),s=i/t,s>1&&(s=1),0>s&&(s=0),"vertical"===this.orientation&&(s=1-s),n=this._valueMax()-this._valueMin(),a=this._valueMin()+s*n,this._trimAlignValue(a)},_start:function(e,t){var i={handle:this.handles[t],value:this.value()};return this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._trigger("start",e,i)},_slide:function(e,t,i){var s,n,a;this.options.values&&this.options.values.length?(s=this.values(t?0:1),2===this.options.values.length&&this.options.range===!0&&(0===t&&i>s||1===t&&s>i)&&(i=s),i!==this.values(t)&&(n=this.values(),n[t]=i,a=this._trigger("slide",e,{handle:this.handles[t],value:i,values:n}),s=this.values(t?0:1),a!==!1&&this.values(t,i))):i!==this.value()&&(a=this._trigger("slide",e,{handle:this.handles[t],value:i}),a!==!1&&this.value(i))},_stop:function(e,t){var i={handle:this.handles[t],value:this.value()};this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._trigger("stop",e,i)},_change:function(e,t){if(!this._keySliding&&!this._mouseSliding){var i={handle:this.handles[t],value:this.value()};this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._lastChangedValue=t,this._trigger("change",e,i)}},value:function(e){return arguments.length?(this.options.value=this._trimAlignValue(e),this._refreshValue(),this._change(null,0),void 0):this._value()},values:function(t,i){var s,n,a;if(arguments.length>1)return this.options.values[t]=this._trimAlignValue(i),this._refreshValue(),this._change(null,t),void 0;if(!arguments.length)return this._values();if(!e.isArray(arguments[0]))return this.options.values&&this.options.values.length?this._values(t):this.value();for(s=this.options.values,n=arguments[0],a=0;s.length>a;a+=1)s[a]=this._trimAlignValue(n[a]),this._change(null,a);this._refreshValue()},_setOption:function(t,i){var s,n=0;switch("range"===t&&this.options.range===!0&&("min"===i?(this.options.value=this._values(0),this.options.values=null):"max"===i&&(this.options.value=this._values(this.options.values.length-1),this.options.values=null)),e.isArray(this.options.values)&&(n=this.options.values.length),"disabled"===t&&this.element.toggleClass("ui-state-disabled",!!i),this._super(t,i),t){case"orientation":this._detectOrientation(),this.element.removeClass("ui-slider-horizontal ui-slider-vertical").addClass("ui-slider-"+this.orientation),this._refreshValue(),this.handles.css("horizontal"===i?"bottom":"left","");break;case"value":this._animateOff=!0,this._refreshValue(),this._change(null,0),this._animateOff=!1;break;case"values":for(this._animateOff=!0,this._refreshValue(),s=0;n>s;s+=1)this._change(null,s);this._animateOff=!1;break;case"step":case"min":case"max":this._animateOff=!0,this._calculateNewMax(),this._refreshValue(),this._animateOff=!1;break;case"range":this._animateOff=!0,this._refresh(),this._animateOff=!1}},_value:function(){var e=this.options.value;return e=this._trimAlignValue(e)},_values:function(e){var t,i,s;if(arguments.length)return t=this.options.values[e],t=this._trimAlignValue(t);if(this.options.values&&this.options.values.length){for(i=this.options.values.slice(),s=0;i.length>s;s+=1)i[s]=this._trimAlignValue(i[s]);return i}return[]},_trimAlignValue:function(e){if(this._valueMin()>=e)return this._valueMin();if(e>=this._valueMax())return this._valueMax();var t=this.options.step>0?this.options.step:1,i=(e-this._valueMin())%t,s=e-i;return 2*Math.abs(i)>=t&&(s+=i>0?t:-t),parseFloat(s.toFixed(5))},_calculateNewMax:function(){var e=this.options.max,t=this._valueMin(),i=this.options.step,s=Math.floor(+(e-t).toFixed(this._precision())/i)*i;e=s+t,this.max=parseFloat(e.toFixed(this._precision()))},_precision:function(){var e=this._precisionOf(this.options.step);return null!==this.options.min&&(e=Math.max(e,this._precisionOf(this.options.min))),e},_precisionOf:function(e){var t=""+e,i=t.indexOf(".");return-1===i?0:t.length-i-1},_valueMin:function(){return this.options.min},_valueMax:function(){return this.max},_refreshValue:function(){var t,i,s,n,a,o=this.options.range,r=this.options,h=this,l=this._animateOff?!1:r.animate,u={};this.options.values&&this.options.values.length?this.handles.each(function(s){i=100*((h.values(s)-h._valueMin())/(h._valueMax()-h._valueMin())),u["horizontal"===h.orientation?"left":"bottom"]=i+"%",e(this).stop(1,1)[l?"animate":"css"](u,r.animate),h.options.range===!0&&("horizontal"===h.orientation?(0===s&&h.range.stop(1,1)[l?"animate":"css"]({left:i+"%"},r.animate),1===s&&h.range[l?"animate":"css"]({width:i-t+"%"},{queue:!1,duration:r.animate})):(0===s&&h.range.stop(1,1)[l?"animate":"css"]({bottom:i+"%"},r.animate),1===s&&h.range[l?"animate":"css"]({height:i-t+"%"},{queue:!1,duration:r.animate}))),t=i}):(s=this.value(),n=this._valueMin(),a=this._valueMax(),i=a!==n?100*((s-n)/(a-n)):0,u["horizontal"===this.orientation?"left":"bottom"]=i+"%",this.handle.stop(1,1)[l?"animate":"css"](u,r.animate),"min"===o&&"horizontal"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({width:i+"%"},r.animate),"max"===o&&"horizontal"===this.orientation&&this.range[l?"animate":"css"]({width:100-i+"%"},{queue:!1,duration:r.animate}),"min"===o&&"vertical"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({height:i+"%"},r.animate),"max"===o&&"vertical"===this.orientation&&this.range[l?"animate":"css"]({height:100-i+"%"},{queue:!1,duration:r.animate}))},_handleEvents:{keydown:function(t){var i,s,n,a,o=e(t.target).data("ui-slider-handle-index");switch(t.keyCode){case e.ui.keyCode.HOME:case e.ui.keyCode.END:case e.ui.keyCode.PAGE_UP:case e.ui.keyCode.PAGE_DOWN:case e.ui.keyCode.UP:case e.ui.keyCode.RIGHT:case e.ui.keyCode.DOWN:case e.ui.keyCode.LEFT:if(t.preventDefault(),!this._keySliding&&(this._keySliding=!0,e(t.target).addClass("ui-state-active"),i=this._start(t,o),i===!1))return}switch(a=this.options.step,s=n=this.options.values&&this.options.values.length?this.values(o):this.value(),t.keyCode){case e.ui.keyCode.HOME:n=this._valueMin();break;case e.ui.keyCode.END:n=this._valueMax();break;case e.ui.keyCode.PAGE_UP:n=this._trimAlignValue(s+(this._valueMax()-this._valueMin())/this.numPages);break;case e.ui.keyCode.PAGE_DOWN:n=this._trimAlignValue(s-(this._valueMax()-this._valueMin())/this.numPages);break;case e.ui.keyCode.UP:case e.ui.keyCode.RIGHT:if(s===this._valueMax())return;n=this._trimAlignValue(s+a);break;case e.ui.keyCode.DOWN:case e.ui.keyCode.LEFT:if(s===this._valueMin())return;n=this._trimAlignValue(s-a)}this._slide(t,o,n)},keyup:function(t){var i=e(t.target).data("ui-slider-handle-index");this._keySliding&&(this._keySliding=!1,this._stop(t,i),this._change(t,i),e(t.target).removeClass("ui-state-active"))}}}),e.widget("ui.spinner",{version:"1.11.4",defaultElement:"<input>",widgetEventPrefix:"spin",options:{culture:null,icons:{down:"ui-icon-triangle-1-s",up:"ui-icon-triangle-1-n"},incremental:!0,max:null,min:null,numberFormat:null,page:10,step:1,change:null,spin:null,start:null,stop:null},_create:function(){this._setOption("max",this.options.max),this._setOption("min",this.options.min),this._setOption("step",this.options.step),""!==this.value()&&this._value(this.element.val(),!0),this._draw(),this._on(this._events),this._refresh(),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_getCreateOptions:function(){var t={},i=this.element;return e.each(["min","max","step"],function(e,s){var n=i.attr(s);void 0!==n&&n.length&&(t[s]=n)}),t},_events:{keydown:function(e){this._start(e)&&this._keydown(e)&&e.preventDefault()},keyup:"_stop",focus:function(){this.previous=this.element.val()},blur:function(e){return this.cancelBlur?(delete this.cancelBlur,void 0):(this._stop(),this._refresh(),this.previous!==this.element.val()&&this._trigger("change",e),void 0)},mousewheel:function(e,t){if(t){if(!this.spinning&&!this._start(e))return!1;this._spin((t>0?1:-1)*this.options.step,e),clearTimeout(this.mousewheelTimer),this.mousewheelTimer=this._delay(function(){this.spinning&&this._stop(e)},100),e.preventDefault()}},"mousedown .ui-spinner-button":function(t){function i(){var e=this.element[0]===this.document[0].activeElement;e||(this.element.focus(),this.previous=s,this._delay(function(){this.previous=s}))}var s;s=this.element[0]===this.document[0].activeElement?this.previous:this.element.val(),t.preventDefault(),i.call(this),this.cancelBlur=!0,this._delay(function(){delete this.cancelBlur,i.call(this)}),this._start(t)!==!1&&this._repeat(null,e(t.currentTarget).hasClass("ui-spinner-up")?1:-1,t)},"mouseup .ui-spinner-button":"_stop","mouseenter .ui-spinner-button":function(t){return e(t.currentTarget).hasClass("ui-state-active")?this._start(t)===!1?!1:(this._repeat(null,e(t.currentTarget).hasClass("ui-spinner-up")?1:-1,t),void 0):void 0},"mouseleave .ui-spinner-button":"_stop"},_draw:function(){var e=this.uiSpinner=this.element.addClass("ui-spinner-input").attr("autocomplete","off").wrap(this._uiSpinnerHtml()).parent().append(this._buttonHtml());this.element.attr("role","spinbutton"),this.buttons=e.find(".ui-spinner-button").attr("tabIndex",-1).button().removeClass("ui-corner-all"),this.buttons.height()>Math.ceil(.5*e.height())&&e.height()>0&&e.height(e.height()),this.options.disabled&&this.disable()},_keydown:function(t){var i=this.options,s=e.ui.keyCode;switch(t.keyCode){case s.UP:return this._repeat(null,1,t),!0;case s.DOWN:return this._repeat(null,-1,t),!0;case s.PAGE_UP:return this._repeat(null,i.page,t),!0;case s.PAGE_DOWN:return this._repeat(null,-i.page,t),!0}return!1},_uiSpinnerHtml:function(){return"<span class='ui-spinner ui-widget ui-widget-content ui-corner-all'></span>"},_buttonHtml:function(){return"<a class='ui-spinner-button ui-spinner-up ui-corner-tr'><span class='ui-icon "+this.options.icons.up+"'>▲</span>"+"</a>"+"<a class='ui-spinner-button ui-spinner-down ui-corner-br'>"+"<span class='ui-icon "+this.options.icons.down+"'>▼</span>"+"</a>"},_start:function(e){return this.spinning||this._trigger("start",e)!==!1?(this.counter||(this.counter=1),this.spinning=!0,!0):!1},_repeat:function(e,t,i){e=e||500,clearTimeout(this.timer),this.timer=this._delay(function(){this._repeat(40,t,i)},e),this._spin(t*this.options.step,i)},_spin:function(e,t){var i=this.value()||0;this.counter||(this.counter=1),i=this._adjustValue(i+e*this._increment(this.counter)),this.spinning&&this._trigger("spin",t,{value:i})===!1||(this._value(i),this.counter++)},_increment:function(t){var i=this.options.incremental;return i?e.isFunction(i)?i(t):Math.floor(t*t*t/5e4-t*t/500+17*t/200+1):1},_precision:function(){var e=this._precisionOf(this.options.step);return null!==this.options.min&&(e=Math.max(e,this._precisionOf(this.options.min))),e},_precisionOf:function(e){var t=""+e,i=t.indexOf(".");return-1===i?0:t.length-i-1},_adjustValue:function(e){var t,i,s=this.options;return t=null!==s.min?s.min:0,i=e-t,i=Math.round(i/s.step)*s.step,e=t+i,e=parseFloat(e.toFixed(this._precision())),null!==s.max&&e>s.max?s.max:null!==s.min&&s.min>e?s.min:e},_stop:function(e){this.spinning&&(clearTimeout(this.timer),clearTimeout(this.mousewheelTimer),this.counter=0,this.spinning=!1,this._trigger("stop",e))},_setOption:function(e,t){if("culture"===e||"numberFormat"===e){var i=this._parse(this.element.val());return this.options[e]=t,this.element.val(this._format(i)),void 0}("max"===e||"min"===e||"step"===e)&&"string"==typeof t&&(t=this._parse(t)),"icons"===e&&(this.buttons.first().find(".ui-icon").removeClass(this.options.icons.up).addClass(t.up),this.buttons.last().find(".ui-icon").removeClass(this.options.icons.down).addClass(t.down)),this._super(e,t),"disabled"===e&&(this.widget().toggleClass("ui-state-disabled",!!t),this.element.prop("disabled",!!t),this.buttons.button(t?"disable":"enable"))},_setOptions:s(function(e){this._super(e)}),_parse:function(e){return"string"==typeof e&&""!==e&&(e=window.Globalize&&this.options.numberFormat?Globalize.parseFloat(e,10,this.options.culture):+e),""===e||isNaN(e)?null:e +},_format:function(e){return""===e?"":window.Globalize&&this.options.numberFormat?Globalize.format(e,this.options.numberFormat,this.options.culture):e},_refresh:function(){this.element.attr({"aria-valuemin":this.options.min,"aria-valuemax":this.options.max,"aria-valuenow":this._parse(this.element.val())})},isValid:function(){var e=this.value();return null===e?!1:e===this._adjustValue(e)},_value:function(e,t){var i;""!==e&&(i=this._parse(e),null!==i&&(t||(i=this._adjustValue(i)),e=this._format(i))),this.element.val(e),this._refresh()},_destroy:function(){this.element.removeClass("ui-spinner-input").prop("disabled",!1).removeAttr("autocomplete").removeAttr("role").removeAttr("aria-valuemin").removeAttr("aria-valuemax").removeAttr("aria-valuenow"),this.uiSpinner.replaceWith(this.element)},stepUp:s(function(e){this._stepUp(e)}),_stepUp:function(e){this._start()&&(this._spin((e||1)*this.options.step),this._stop())},stepDown:s(function(e){this._stepDown(e)}),_stepDown:function(e){this._start()&&(this._spin((e||1)*-this.options.step),this._stop())},pageUp:s(function(e){this._stepUp((e||1)*this.options.page)}),pageDown:s(function(e){this._stepDown((e||1)*this.options.page)}),value:function(e){return arguments.length?(s(this._value).call(this,e),void 0):this._parse(this.element.val())},widget:function(){return this.uiSpinner}}),e.widget("ui.tabs",{version:"1.11.4",delay:300,options:{active:null,collapsible:!1,event:"click",heightStyle:"content",hide:null,show:null,activate:null,beforeActivate:null,beforeLoad:null,load:null},_isLocal:function(){var e=/#.*$/;return function(t){var i,s;t=t.cloneNode(!1),i=t.href.replace(e,""),s=location.href.replace(e,"");try{i=decodeURIComponent(i)}catch(n){}try{s=decodeURIComponent(s)}catch(n){}return t.hash.length>1&&i===s}}(),_create:function(){var t=this,i=this.options;this.running=!1,this.element.addClass("ui-tabs ui-widget ui-widget-content ui-corner-all").toggleClass("ui-tabs-collapsible",i.collapsible),this._processTabs(),i.active=this._initialActive(),e.isArray(i.disabled)&&(i.disabled=e.unique(i.disabled.concat(e.map(this.tabs.filter(".ui-state-disabled"),function(e){return t.tabs.index(e)}))).sort()),this.active=this.options.active!==!1&&this.anchors.length?this._findActive(i.active):e(),this._refresh(),this.active.length&&this.load(i.active)},_initialActive:function(){var t=this.options.active,i=this.options.collapsible,s=location.hash.substring(1);return null===t&&(s&&this.tabs.each(function(i,n){return e(n).attr("aria-controls")===s?(t=i,!1):void 0}),null===t&&(t=this.tabs.index(this.tabs.filter(".ui-tabs-active"))),(null===t||-1===t)&&(t=this.tabs.length?0:!1)),t!==!1&&(t=this.tabs.index(this.tabs.eq(t)),-1===t&&(t=i?!1:0)),!i&&t===!1&&this.anchors.length&&(t=0),t},_getCreateEventData:function(){return{tab:this.active,panel:this.active.length?this._getPanelForTab(this.active):e()}},_tabKeydown:function(t){var i=e(this.document[0].activeElement).closest("li"),s=this.tabs.index(i),n=!0;if(!this._handlePageNav(t)){switch(t.keyCode){case e.ui.keyCode.RIGHT:case e.ui.keyCode.DOWN:s++;break;case e.ui.keyCode.UP:case e.ui.keyCode.LEFT:n=!1,s--;break;case e.ui.keyCode.END:s=this.anchors.length-1;break;case e.ui.keyCode.HOME:s=0;break;case e.ui.keyCode.SPACE:return t.preventDefault(),clearTimeout(this.activating),this._activate(s),void 0;case e.ui.keyCode.ENTER:return t.preventDefault(),clearTimeout(this.activating),this._activate(s===this.options.active?!1:s),void 0;default:return}t.preventDefault(),clearTimeout(this.activating),s=this._focusNextTab(s,n),t.ctrlKey||t.metaKey||(i.attr("aria-selected","false"),this.tabs.eq(s).attr("aria-selected","true"),this.activating=this._delay(function(){this.option("active",s)},this.delay))}},_panelKeydown:function(t){this._handlePageNav(t)||t.ctrlKey&&t.keyCode===e.ui.keyCode.UP&&(t.preventDefault(),this.active.focus())},_handlePageNav:function(t){return t.altKey&&t.keyCode===e.ui.keyCode.PAGE_UP?(this._activate(this._focusNextTab(this.options.active-1,!1)),!0):t.altKey&&t.keyCode===e.ui.keyCode.PAGE_DOWN?(this._activate(this._focusNextTab(this.options.active+1,!0)),!0):void 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.tocify .list-group-item { +padding: 5px; +} +.tocify .nav-pills > li { +float: none; +} + + +</style> +<script>/* jquery Tocify - v1.9.1 - 2013-10-22 + * http://www.gregfranko.com/jquery.tocify.js/ + * Copyright (c) 2013 Greg Franko; Licensed MIT */ + +// Immediately-Invoked Function Expression (IIFE) [Ben Alman Blog Post](http://benalman.com/news/2010/11/immediately-invoked-function-expression/) that calls another IIFE that contains all of the plugin logic. I used this pattern so that anyone viewing this code would not have to scroll to the bottom of the page to view the local parameters that were passed to the main IIFE. +(function(tocify) { + + // ECMAScript 5 Strict Mode: [John Resig Blog Post](http://ejohn.org/blog/ecmascript-5-strict-mode-json-and-more/) + "use strict"; + + // Calls the second IIFE and locally passes in the global jQuery, window, and document objects + tocify(window.jQuery, window, document); + + } + + // Locally passes in `jQuery`, the `window` object, the `document` object, and an `undefined` variable. The `jQuery`, `window` and `document` objects are passed in locally, to improve performance, since javascript first searches for a variable match within the local variables set before searching the global variables set. All of the global variables are also passed in locally to be minifier friendly. `undefined` can be passed in locally, because it is not a reserved word in JavaScript. + (function($, window, document, undefined) { + + // ECMAScript 5 Strict Mode: [John Resig Blog Post](http://ejohn.org/blog/ecmascript-5-strict-mode-json-and-more/) + "use strict"; + + var tocClassName = "tocify", + tocClass = "." + tocClassName, + tocFocusClassName = "tocify-focus", + tocHoverClassName = "tocify-hover", + hideTocClassName = "tocify-hide", + hideTocClass = "." + hideTocClassName, + headerClassName = "tocify-header", + headerClass = "." + headerClassName, + subheaderClassName = "tocify-subheader", + subheaderClass = "." + subheaderClassName, + itemClassName = "tocify-item", + itemClass = "." + itemClassName, + extendPageClassName = "tocify-extend-page", + extendPageClass = "." + extendPageClassName; + + // Calling the jQueryUI Widget Factory Method + $.widget("toc.tocify", { + + //Plugin version + version: "1.9.1", + + // These options will be used as defaults + options: { + + // **context**: Accepts String: Any jQuery selector + // The container element that holds all of the elements used to generate the table of contents + context: "body", + + // **ignoreSelector**: Accepts String: Any jQuery selector + // A selector to any element that would be matched by selectors that you wish to be ignored + ignoreSelector: null, + + // **selectors**: Accepts an Array of Strings: Any jQuery selectors + // The element's used to generate the table of contents. The order is very important since it will determine the table of content's nesting structure + selectors: "h1, h2, h3", + + // **showAndHide**: Accepts a boolean: true or false + // Used to determine if elements should be shown and hidden + showAndHide: true, + + // **showEffect**: Accepts String: "none", "fadeIn", "show", or "slideDown" + // Used to display any of the table of contents nested items + showEffect: "slideDown", + + // **showEffectSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast" + // The time duration of the show animation + showEffectSpeed: "medium", + + // **hideEffect**: Accepts String: "none", "fadeOut", "hide", or "slideUp" + // Used to hide any of the table of contents nested items + hideEffect: "slideUp", + + // **hideEffectSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast" + // The time duration of the hide animation + hideEffectSpeed: "medium", + + // **smoothScroll**: Accepts a boolean: true or false + // Determines if a jQuery animation should be used to scroll to specific table of contents items on the page + smoothScroll: true, + + // **smoothScrollSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast" + // The time duration of the smoothScroll animation + smoothScrollSpeed: "medium", + + // **scrollTo**: Accepts Number (pixels) + // The amount of space between the top of page and the selected table of contents item after the page has been scrolled + scrollTo: 0, + + // **showAndHideOnScroll**: Accepts a boolean: true or false + // Determines if table of contents nested items should be shown and hidden while scrolling + showAndHideOnScroll: true, + + // **highlightOnScroll**: Accepts a boolean: true or false + // Determines if table of contents nested items should be highlighted (set to a different color) while scrolling + highlightOnScroll: true, + + // **highlightOffset**: Accepts a number + // The offset distance in pixels to trigger the next active table of contents item + highlightOffset: 40, + + // **theme**: Accepts a string: "bootstrap", "jqueryui", or "none" + // Determines if Twitter Bootstrap, jQueryUI, or Tocify classes should be added to the table of contents + theme: "bootstrap", + + // **extendPage**: Accepts a boolean: true or false + // If a user scrolls to the bottom of the page and the page is not tall enough to scroll to the last table of contents item, then the page height is increased + extendPage: true, + + // **extendPageOffset**: Accepts a number: pixels + // How close to the bottom of the page a user must scroll before the page is extended + extendPageOffset: 100, + + // **history**: Accepts a boolean: true or false + // Adds a hash to the page url to maintain history + history: true, + + // **scrollHistory**: Accepts a boolean: true or false + // Adds a hash to the page url, to maintain history, when scrolling to a TOC item + scrollHistory: false, + + // **hashGenerator**: How the hash value (the anchor segment of the URL, following the + // # character) will be generated. + // + // "compact" (default) - #CompressesEverythingTogether + // "pretty" - #looks-like-a-nice-url-and-is-easily-readable + // function(text, element){} - Your own hash generation function that accepts the text as an + // argument, and returns the hash value. + hashGenerator: "compact", + + // **highlightDefault**: Accepts a boolean: true or false + // Set's the first TOC item as active if no other TOC item is active. + highlightDefault: true + + }, + + // _Create + // ------- + // Constructs the plugin. Only called once. + _create: function() { + + var self = this; + + self.extendPageScroll = true; + + // Internal array that keeps track of all TOC items (Helps to recognize if there are duplicate TOC item strings) + self.items = []; + + // Generates the HTML for the dynamic table of contents + self._generateToc(); + + // Adds CSS classes to the newly generated table of contents HTML + self._addCSSClasses(); + + self.webkit = (function() { + + for (var prop in window) { + + if (prop) { + + if (prop.toLowerCase().indexOf("webkit") !== -1) { + + return true; + + } + + } + + } + + return false; + + }()); + + // Adds jQuery event handlers to the newly generated table of contents + self._setEventHandlers(); + + // Binding to the Window load event to make sure the correct scrollTop is calculated + $(window).load(function() { + + // Sets the active TOC item + self._setActiveElement(true); + + // Once all animations on the page are complete, this callback function will be called + $("html, body").promise().done(function() { + + setTimeout(function() { + + self.extendPageScroll = false; + + }, 0); + + }); + + }); + + }, + + // _generateToc + // ------------ + // Generates the HTML for the dynamic table of contents + _generateToc: function() { + + // _Local variables_ + + // Stores the plugin context in the self variable + var self = this, + + // All of the HTML tags found within the context provided (i.e. body) that match the top level jQuery selector above + firstElem, + + // Instantiated variable that will store the top level newly created unordered list DOM element + ul, + ignoreSelector = self.options.ignoreSelector; + + + // Determine the element to start the toc with + // get all the top level selectors + firstElem = []; + var selectors = this.options.selectors.replace(/ /g, "").split(","); + // find the first set that have at least one non-ignored element + for(var i = 0; i < selectors.length; i++) { + var foundSelectors = $(this.options.context).find(selectors[i]); + for (var s = 0; s < foundSelectors.length; s++) { + if (!$(foundSelectors[s]).is(ignoreSelector)) { + firstElem = foundSelectors; + break; + } + } + if (firstElem.length> 0) + break; + } + + if (!firstElem.length) { + + self.element.addClass(hideTocClassName); + + return; + + } + + self.element.addClass(tocClassName); + + // Loops through each top level selector + firstElem.each(function(index) { + + //If the element matches the ignoreSelector then we skip it + if ($(this).is(ignoreSelector)) { + return; + } + + // Creates an unordered list HTML element and adds a dynamic ID and standard class name + ul = $("<ul/>", { + "id": headerClassName + index, + "class": headerClassName + }). + + // Appends a top level list item HTML element to the previously created HTML header + append(self._nestElements($(this), index)); + + // Add the created unordered list element to the HTML element calling the plugin + self.element.append(ul); + + // Finds all of the HTML tags between the header and subheader elements + $(this).nextUntil(this.nodeName.toLowerCase()).each(function() { + + // If there are no nested subheader elemements + if ($(this).find(self.options.selectors).length === 0) { + + // Loops through all of the subheader elements + $(this).filter(self.options.selectors).each(function() { + + //If the element matches the ignoreSelector then we skip it + if ($(this).is(ignoreSelector)) { + return; + } + + self._appendSubheaders.call(this, self, ul); + + }); + + } + + // If there are nested subheader elements + else { + + // Loops through all of the subheader elements + $(this).find(self.options.selectors).each(function() { + + //If the element matches the ignoreSelector then we skip it + if ($(this).is(ignoreSelector)) { + return; + } + + self._appendSubheaders.call(this, self, ul); + + }); + + } + + }); + + }); + + }, + + _setActiveElement: function(pageload) { + + var self = this, + + hash = window.location.hash.substring(1), + + elem = self.element.find('li[data-unique="' + hash + '"]'); + + if (hash.length) { + + // Removes highlighting from all of the list item's + self.element.find("." + self.focusClass).removeClass(self.focusClass); + + // Highlights the current list item that was clicked + elem.addClass(self.focusClass); + + // Triggers the click event on the currently focused TOC item + elem.click(); + + } else { + + // Removes highlighting from all of the list item's + self.element.find("." + self.focusClass).removeClass(self.focusClass); + + if (!hash.length && pageload && self.options.highlightDefault) { + + // Highlights the first TOC item if no other items are highlighted + self.element.find(itemClass).first().addClass(self.focusClass); + + } + + } + + return self; + + }, + + // _nestElements + // ------------- + // Helps create the table of contents list by appending nested list items + _nestElements: function(self, index) { + + var arr, item, hashValue; + + arr = $.grep(this.items, function(item) { + + return item === self.text(); + + }); + + // If there is already a duplicate TOC item + if (arr.length) { + + // Adds the current TOC item text and index (for slight randomization) to the internal array + this.items.push(self.text() + index); + + } + + // If there not a duplicate TOC item + else { + + // Adds the current TOC item text to the internal array + this.items.push(self.text()); + + } + + hashValue = this._generateHashValue(arr, self, index); + + // Appends a list item HTML element to the last unordered list HTML element found within the HTML element calling the plugin + item = $("<li/>", { + + // Sets a common class name to the list item + "class": itemClassName, + + "data-unique": hashValue + + }); + + if (this.options.theme !== "bootstrap3") { + + item.append($("<a/>", { + + "text": self.text() + + })); + + } else { + + item.text(self.text()); + + } + + // Adds an HTML anchor tag before the currently traversed HTML element + self.before($("<div/>", { + + // Sets a name attribute on the anchor tag to the text of the currently traversed HTML element (also making sure that all whitespace is replaced with an underscore) + "name": hashValue, + + "data-unique": hashValue + + })); + + return item; + + }, + + // _generateHashValue + // ------------------ + // Generates the hash value that will be used to refer to each item. + _generateHashValue: function(arr, self, index) { + + var hashValue = "", + hashGeneratorOption = this.options.hashGenerator; + + if (hashGeneratorOption === "pretty") { + + // prettify the text + hashValue = self.text().toLowerCase().replace(/\s/g, "-"); + + // fix double hyphens + while (hashValue.indexOf("--") > -1) { + hashValue = hashValue.replace(/--/g, "-"); + } + + // fix colon-space instances + while (hashValue.indexOf(":-") > -1) { + hashValue = hashValue.replace(/:-/g, "-"); + } + + } else if (typeof hashGeneratorOption === "function") { + + // call the function + hashValue = hashGeneratorOption(self.text(), self); + + } else { + + // compact - the default + hashValue = self.text().replace(/\s/g, ""); + + } + + // add the index if we need to + if (arr.length) { + hashValue += "" + index; + } + + // return the value + return hashValue; + + }, + + // _appendElements + // --------------- + // Helps create the table of contents list by appending subheader elements + + _appendSubheaders: function(self, ul) { + + // The current element index + var index = $(this).index(self.options.selectors), + + // Finds the previous header DOM element + previousHeader = $(self.options.selectors).eq(index - 1), + + currentTagName = +$(this).prop("tagName").charAt(1), + + previousTagName = +previousHeader.prop("tagName").charAt(1), + + lastSubheader; + + // If the current header DOM element is smaller than the previous header DOM element or the first subheader + if (currentTagName < previousTagName) { + + // Selects the last unordered list HTML found within the HTML element calling the plugin + self.element.find(subheaderClass + "[data-tag=" + currentTagName + "]").last().append(self._nestElements($(this), index)); + + } + + // If the current header DOM element is the same type of header(eg. h4) as the previous header DOM element + else if (currentTagName === previousTagName) { + + ul.find(itemClass).last().after(self._nestElements($(this), index)); + + } else { + + // Selects the last unordered list HTML found within the HTML element calling the plugin + ul.find(itemClass).last(). + + // Appends an unorderedList HTML element to the dynamic `unorderedList` variable and sets a common class name + after($("<ul/>", { + + "class": subheaderClassName, + + "data-tag": currentTagName + + })).next(subheaderClass). + + // Appends a list item HTML element to the last unordered list HTML element found within the HTML element calling the plugin + append(self._nestElements($(this), index)); + } + + }, + + // _setEventHandlers + // ---------------- + // Adds jQuery event handlers to the newly generated table of contents + _setEventHandlers: function() { + + // _Local variables_ + + // Stores the plugin context in the self variable + var self = this, + + // Instantiates a new variable that will be used to hold a specific element's context + $self, + + // Instantiates a new variable that will be used to determine the smoothScroll animation time duration + duration; + + // Event delegation that looks for any clicks on list item elements inside of the HTML element calling the plugin + this.element.on("click.tocify", "li", function(event) { + + if (self.options.history) { + + window.location.hash = $(this).attr("data-unique"); + + } + + // Removes highlighting from all of the list item's + self.element.find("." + self.focusClass).removeClass(self.focusClass); + + // Highlights the current list item that was clicked + $(this).addClass(self.focusClass); + + // If the showAndHide option is true + if (self.options.showAndHide) { + + var elem = $('li[data-unique="' + $(this).attr("data-unique") + '"]'); + + self._triggerShow(elem); + + } + + self._scrollTo($(this)); + + }); + + // Mouseenter and Mouseleave event handlers for the list item's within the HTML element calling the plugin + this.element.find("li").on({ + + // Mouseenter event handler + "mouseenter.tocify": function() { + + // Adds a hover CSS class to the current list item + $(this).addClass(self.hoverClass); + + // Makes sure the cursor is set to the pointer icon + $(this).css("cursor", "pointer"); + + }, + + // Mouseleave event handler + "mouseleave.tocify": function() { + + if (self.options.theme !== "bootstrap") { + + // Removes the hover CSS class from the current list item + $(this).removeClass(self.hoverClass); + + } + + } + }); + + // only attach handler if needed (expensive in IE) + if (self.options.extendPage || self.options.highlightOnScroll || self.options.scrollHistory || self.options.showAndHideOnScroll) { + // Window scroll event handler + $(window).on("scroll.tocify", function() { + + // Once all animations on the page are complete, this callback function will be called + $("html, body").promise().done(function() { + + // Local variables + + // Stores how far the user has scrolled + var winScrollTop = $(window).scrollTop(), + + // Stores the height of the window + winHeight = $(window).height(), + + // Stores the height of the document + docHeight = $(document).height(), + + scrollHeight = $("body")[0].scrollHeight, + + // Instantiates a variable that will be used to hold a selected HTML element + elem, + + lastElem, + + lastElemOffset, + + currentElem; + + if (self.options.extendPage) { + + // If the user has scrolled to the bottom of the page and the last toc item is not focused + if ((self.webkit && winScrollTop >= scrollHeight - winHeight - self.options.extendPageOffset) || (!self.webkit && winHeight + winScrollTop > docHeight - self.options.extendPageOffset)) { + + if (!$(extendPageClass).length) { + + lastElem = $('div[data-unique="' + $(itemClass).last().attr("data-unique") + '"]'); + + if (!lastElem.length) return; + + // Gets the top offset of the page header that is linked to the last toc item + lastElemOffset = lastElem.offset().top; + + // Appends a div to the bottom of the page and sets the height to the difference of the window scrollTop and the last element's position top offset + $(self.options.context).append($("<div/>", { + + "class": extendPageClassName, + + "height": Math.abs(lastElemOffset - winScrollTop) + "px", + + "data-unique": extendPageClassName + + })); + + if (self.extendPageScroll) { + + currentElem = self.element.find('li.' + self.focusClass); + + self._scrollTo($('div[data-unique="' + currentElem.attr("data-unique") + '"]')); + + } + + } + + } + + } + + // The zero timeout ensures the following code is run after the scroll events + setTimeout(function() { + + // _Local variables_ + + // Stores the distance to the closest anchor + var closestAnchorDistance = null, + + // Stores the index of the closest anchor + closestAnchorIdx = null, + + // Keeps a reference to all anchors + anchors = $(self.options.context).find("div[data-unique]"), + + anchorText; + + // Determines the index of the closest anchor + anchors.each(function(idx) { + var distance = Math.abs(($(this).next().length ? $(this).next() : $(this)).offset().top - winScrollTop - self.options.highlightOffset); + if (closestAnchorDistance == null || distance < closestAnchorDistance) { + closestAnchorDistance = distance; + closestAnchorIdx = idx; + } else { + return false; + } + }); + + anchorText = $(anchors[closestAnchorIdx]).attr("data-unique"); + + // Stores the list item HTML element that corresponds to the currently traversed anchor tag + elem = $('li[data-unique="' + anchorText + '"]'); + + // If the `highlightOnScroll` option is true and a next element is found + if (self.options.highlightOnScroll && elem.length) { + + // Removes highlighting from all of the list item's + self.element.find("." + self.focusClass).removeClass(self.focusClass); + + // Highlights the corresponding list item + elem.addClass(self.focusClass); + + } + + if (self.options.scrollHistory) { + + if (window.location.hash !== "#" + anchorText) { + + window.location.replace("#" + anchorText); + + } + } + + // If the `showAndHideOnScroll` option is true + if (self.options.showAndHideOnScroll && self.options.showAndHide) { + + self._triggerShow(elem, true); + + } + + }, 0); + + }); + + }); + } + + }, + + // Show + // ---- + // Opens the current sub-header + show: function(elem, scroll) { + + // Stores the plugin context in the `self` variable + var self = this, + element = elem; + + // If the sub-header is not already visible + if (!elem.is(":visible")) { + + // If the current element does not have any nested subheaders, is not a header, and its parent is not visible + if (!elem.find(subheaderClass).length && !elem.parent().is(headerClass) && !elem.parent().is(":visible")) { + + // Sets the current element to all of the subheaders within the current header + elem = elem.parents(subheaderClass).add(elem); + + } + + // If the current element does not have any nested subheaders and is not a header + else if (!elem.children(subheaderClass).length && !elem.parent().is(headerClass)) { + + // Sets the current element to the closest subheader + elem = elem.closest(subheaderClass); + + } + + //Determines what jQuery effect to use + switch (self.options.showEffect) { + + //Uses `no effect` + case "none": + + elem.show(); + + break; + + //Uses the jQuery `show` special effect + case "show": + + elem.show(self.options.showEffectSpeed); + + break; + + //Uses the jQuery `slideDown` special effect + case "slideDown": + + elem.slideDown(self.options.showEffectSpeed); + + break; + + //Uses the jQuery `fadeIn` special effect + case "fadeIn": + + elem.fadeIn(self.options.showEffectSpeed); + + break; + + //If none of the above options were passed, then a `jQueryUI show effect` is expected + default: + + elem.show(); + + break; + + } + + } + + // If the current subheader parent element is a header + if (elem.parent().is(headerClass)) { + + // Hides all non-active sub-headers + self.hide($(subheaderClass).not(elem)); + + } + + // If the current subheader parent element is not a header + else { + + // Hides all non-active sub-headers + self.hide($(subheaderClass).not(elem.closest(headerClass).find(subheaderClass).not(elem.siblings()))); + + } + + // Maintains chainablity + return self; + + }, + + // Hide + // ---- + // Closes the current sub-header + hide: function(elem) { + + // Stores the plugin context in the `self` variable + var self = this; + + //Determines what jQuery effect to use + switch (self.options.hideEffect) { + + // Uses `no effect` + case "none": + + elem.hide(); + + break; + + // Uses the jQuery `hide` special effect + case "hide": + + elem.hide(self.options.hideEffectSpeed); + + break; + + // Uses the jQuery `slideUp` special effect + case "slideUp": + + elem.slideUp(self.options.hideEffectSpeed); + + break; + + // Uses the jQuery `fadeOut` special effect + case "fadeOut": + + elem.fadeOut(self.options.hideEffectSpeed); + + break; + + // If none of the above options were passed, then a `jqueryUI hide effect` is expected + default: + + elem.hide(); + + break; + + } + + // Maintains chainablity + return self; + }, + + // _triggerShow + // ------------ + // Determines what elements get shown on scroll and click + _triggerShow: function(elem, scroll) { + + var self = this; + + // If the current element's parent is a header element or the next element is a nested subheader element + if (elem.parent().is(headerClass) || elem.next().is(subheaderClass)) { + + // Shows the next sub-header element + self.show(elem.next(subheaderClass), scroll); + + } + + // If the current element's parent is a subheader element + else if (elem.parent().is(subheaderClass)) { + + // Shows the parent sub-header element + self.show(elem.parent(), scroll); + + } + + // Maintains chainability + return self; + + }, + + // _addCSSClasses + // -------------- + // Adds CSS classes to the newly generated table of contents HTML + _addCSSClasses: function() { + + // If the user wants a jqueryUI theme + if (this.options.theme === "jqueryui") { + + this.focusClass = "ui-state-default"; + + this.hoverClass = "ui-state-hover"; + + //Adds the default styling to the dropdown list + this.element.addClass("ui-widget").find(".toc-title").addClass("ui-widget-header").end().find("li").addClass("ui-widget-content"); + + } + + // If the user wants a twitterBootstrap theme + else if (this.options.theme === "bootstrap") { + + this.element.find(headerClass + "," + subheaderClass).addClass("nav nav-list"); + + this.focusClass = "active"; + + } + + // If the user wants a twitterBootstrap theme + else if (this.options.theme === "bootstrap3") { + + this.element.find(headerClass + "," + subheaderClass).addClass("list-group"); + + this.element.find(itemClass).addClass("list-group-item"); + + this.focusClass = "active"; + + } + + // If a user does not want a prebuilt theme + else { + + // Adds more neutral classes (instead of jqueryui) + + this.focusClass = tocFocusClassName; + + this.hoverClass = tocHoverClassName; + + } + + //Maintains chainability + return this; + + }, + + // setOption + // --------- + // Sets a single Tocify option after the plugin is invoked + setOption: function() { + + // Calls the jQueryUI Widget Factory setOption method + $.Widget.prototype._setOption.apply(this, arguments); + + }, + + // setOptions + // ---------- + // Sets a single or multiple Tocify options after the plugin is invoked + setOptions: function() { + + // Calls the jQueryUI Widget Factory setOptions method + $.Widget.prototype._setOptions.apply(this, arguments); + + }, + + // _scrollTo + // --------- + // Scrolls to a specific element + _scrollTo: function(elem) { + + var self = this, + duration = self.options.smoothScroll || 0, + scrollTo = self.options.scrollTo, + currentDiv = $('div[data-unique="' + elem.attr("data-unique") + '"]'); + + if (!currentDiv.length) { + + return self; + + } + + // Once all animations on the page are complete, this callback function will be called + $("html, body").promise().done(function() { + + // Animates the html and body element scrolltops + $("html, body").animate({ + + // Sets the jQuery `scrollTop` to the top offset of the HTML div tag that matches the current list item's `data-unique` tag + "scrollTop": currentDiv.offset().top - ($.isFunction(scrollTo) ? scrollTo.call() : scrollTo) + "px" + + }, { + + // Sets the smoothScroll animation time duration to the smoothScrollSpeed option + "duration": duration + + }); + + }); + + // Maintains chainability + return self; + + } + + }); + + })); //end of plugin +</script> +<script> + +/** + * jQuery Plugin: Sticky Tabs + * + * @author Aidan Lister <aidan@php.net> + * adapted by Ruben Arslan to activate parent tabs too + * http://www.aidanlister.com/2014/03/persisting-the-tab-state-in-bootstrap/ + */ +(function($) { + "use strict"; + $.fn.rmarkdownStickyTabs = function() { + var context = this; + // Show the tab corresponding with the hash in the URL, or the first tab + var showStuffFromHash = function() { + var hash = window.location.hash; + var selector = hash ? 'a[href="' + hash + '"]' : 'li.active > a'; + var $selector = $(selector, context); + if($selector.data('toggle') === "tab") { + $selector.tab('show'); + // walk up the ancestors of this element, show any hidden tabs + $selector.parents('.section.tabset').each(function(i, elm) { + var link = $('a[href="#' + $(elm).attr('id') + '"]'); + if(link.data('toggle') === "tab") { + link.tab("show"); + } + }); + } + }; + + + // Set the correct tab when the page loads + showStuffFromHash(context); + + // Set the correct tab when a user uses their back/forward button + $(window).on('hashchange', function() { + showStuffFromHash(context); + }); + + // Change the URL when tabs are clicked + $('a', context).on('click', function(e) { + history.pushState(null, null, this.href); + showStuffFromHash(context); + }); + + return this; + }; +}(jQuery)); + +window.buildTabsets = function(tocID) { + + // build a tabset from a section div with the .tabset class + function buildTabset(tabset) { + + // check for fade and pills options + var fade = tabset.hasClass("tabset-fade"); + var pills = tabset.hasClass("tabset-pills"); + var navClass = pills ? "nav-pills" : "nav-tabs"; + + // determine the heading level of the tabset and tabs + var match = tabset.attr('class').match(/level(\d) /); + if (match === null) + return; + var tabsetLevel = Number(match[1]); + var tabLevel = tabsetLevel + 1; + + // find all subheadings immediately below + var tabs = tabset.find("div.section.level" + tabLevel); + if (!tabs.length) + return; + + // create tablist and tab-content elements + var tabList = $('<ul class="nav ' + navClass + '" role="tablist"></ul>'); + $(tabs[0]).before(tabList); + var tabContent = $('<div class="tab-content"></div>'); + $(tabs[0]).before(tabContent); + + // build the tabset + var activeTab = 0; + tabs.each(function(i) { + + // get the tab div + var tab = $(tabs[i]); + + // get the id then sanitize it for use with bootstrap tabs + var id = tab.attr('id'); + + // see if this is marked as the active tab + if (tab.hasClass('active')) + activeTab = i; + + // remove any table of contents entries associated with + // this ID (since we'll be removing the heading element) + $("div#" + tocID + " li a[href='#" + id + "']").parent().remove(); + + // sanitize the id for use with bootstrap tabs + id = id.replace(/[.\/?&!#<>]/g, '').replace(/\s/g, '_'); + tab.attr('id', id); + + // get the heading element within it, grab it's text, then remove it + var heading = tab.find('h' + tabLevel + ':first'); + var headingText = heading.html(); + heading.remove(); + + // build and append the tab list item + var a = $('<a role="tab" data-toggle="tab">' + headingText + '</a>'); + a.attr('href', '#' + id); + a.attr('aria-controls', id); + var li = $('<li role="presentation"></li>'); + li.append(a); + tabList.append(li); + + // set it's attributes + tab.attr('role', 'tabpanel'); + tab.addClass('tab-pane'); + tab.addClass('tabbed-pane'); + if (fade) + tab.addClass('fade'); + + // move it into the tab content div + tab.detach().appendTo(tabContent); + }); + + // set active tab + $(tabList.children('li')[activeTab]).addClass('active'); + var active = $(tabContent.children('div.section')[activeTab]); + active.addClass('active'); + if (fade) + active.addClass('in'); + + if (tabset.hasClass("tabset-sticky")) + tabset.rmarkdownStickyTabs(); + } + + // convert section divs with the .tabset class to tabsets + var tabsets = $("div.section.tabset"); + tabsets.each(function(i) { + buildTabset($(tabsets[i])); + }); +}; + +</script> +<style type="text/css">.hljs-literal { +color: #990073; +} +.hljs-number { +color: #099; +} +.hljs-comment { +color: #998; +font-style: italic; +} +.hljs-keyword { +color: #900; +font-weight: bold; +} +.hljs-string { +color: #d14; +} +</style> +<script src="data:application/javascript;base64,/*! highlight.js v9.12.0 | BSD3 License | git.io/hljslicense */
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+ +<div class="fluid-row" id="header"> + + + +<h1 class="title toc-ignore">Evaluation of example datasets from Attachment 1 to the US EPA SOP for the NAFTA guidance</h1> +<h4 class="author"><em>Johannes Ranke</em></h4> +<h4 class="date"><em>2019-04-10</em></h4> + +</div> + + +<div id="introduction" class="section level1"> +<h1>Introduction</h1> +<p>In this document, the example evaluations provided in Attachment 1 to the SOP of US EPA for using the NAFTA guidance <span class="citation">(US EPA 2015)</span> are repeated using mkin. The original evaluations reported in the attachment were performed using PestDF in version 0.8.4. Note that PestDF 0.8.13 is the version distributed at the US EPA website today (2019-02-26).</p> +<p>The datasets are now distributed with the mkin package.</p> +</div> +<div id="examples-where-dfop-did-not-converge-with-pestdf-0.8.4" class="section level1"> +<h1>Examples where DFOP did not converge with PestDF 0.8.4</h1> +<p>In attachment 1, it is reported that the DFOP model does not converge for these datasets when PestDF 0.8.4 was used. For all four datasets, the DFOP model can be fitted with mkin (see below). The negative half-life given by PestDF 0.8.4 for these fits appears to be the result of a bug. The results for the other two models (SFO and IORE) are the same.</p> +<div id="example-on-page-5-upper-panel" class="section level2"> +<h2>Example on page 5, upper panel</h2> +<pre class="r"><code>p5a <- nafta(NAFTA_SOP_Attachment[["p5a"]])</code></pre> +<pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> +<pre><code>## The half-life obtained from the IORE model may be used</code></pre> +<pre class="r"><code>plot(p5a)</code></pre> +<p><img src="data:image/png;base64,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" /><!-- --></p> +<pre class="r"><code>print(p5a)</code></pre> +<pre><code>## Sums of squares: +## SFO IORE DFOP +## 465.21753 56.27506 32.06401 +## +## Critical sum of squares for checking the SFO model: +## [1] 64.4304 +## +## Parameters: +## $SFO +## Estimate Pr(>t) Lower Upper +## parent_0 95.8401 4.67e-21 92.245 99.4357 +## k_parent_sink 0.0102 3.92e-12 0.009 0.0117 +## sigma 4.8230 3.81e-06 3.214 6.4318 +## +## $IORE +## Estimate Pr(>t) Lower Upper +## parent_0 1.01e+02 NA 9.91e+01 1.02e+02 +## k__iore_parent_sink 1.54e-05 NA 4.08e-06 5.84e-05 +## N_parent 2.57e+00 NA 2.25e+00 2.89e+00 +## sigma 1.68e+00 NA 1.12e+00 2.24e+00 +## +## $DFOP +## Estimate Pr(>t) Lower Upper +## parent_0 9.99e+01 1.41e-26 98.8116 101.0810 +## k1 2.67e-02 5.05e-06 0.0243 0.0295 +## k2 3.41e-12 5.00e-01 0.0000 Inf +## g 6.47e-01 3.67e-06 0.6248 0.6677 +## sigma 1.27e+00 8.91e-06 0.8395 1.6929 +## +## +## DTx values: +## DT50 DT90 DT50_rep +## SFO 67.7 2.25e+02 6.77e+01 +## IORE 58.2 1.07e+03 3.22e+02 +## DFOP 55.5 3.70e+11 2.03e+11 +## +## Representative half-life: +## [1] 321.5119</code></pre> +</div> +<div id="example-on-page-5-lower-panel" class="section level2"> +<h2>Example on page 5, lower panel</h2> +<pre class="r"><code>p5b <- nafta(NAFTA_SOP_Attachment[["p5b"]])</code></pre> +<pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> +<pre><code>## The half-life obtained from the IORE model may be used</code></pre> +<pre class="r"><code>plot(p5b)</code></pre> +<p><img src="data:image/png;base64,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" /><!-- --></p> +<pre class="r"><code>print(p5b)</code></pre> +<pre><code>## Sums of squares: +## SFO IORE DFOP +## 94.81123 10.10936 7.55871 +## +## Critical sum of squares for checking the SFO model: +## [1] 11.77879 +## +## Parameters: +## $SFO +## Estimate Pr(>t) Lower Upper +## parent_0 96.497 2.32e-24 94.85271 98.14155 +## k_parent_sink 0.008 3.42e-14 0.00737 0.00869 +## sigma 2.295 1.22e-05 1.47976 3.11036 +## +## $IORE +## Estimate Pr(>t) Lower Upper +## parent_0 9.85e+01 1.17e-28 9.79e+01 9.92e+01 +## k__iore_parent_sink 1.53e-04 6.50e-03 7.21e-05 3.26e-04 +## N_parent 1.94e+00 5.88e-13 1.76e+00 2.12e+00 +## sigma 7.49e-01 1.63e-05 4.82e-01 1.02e+00 +## +## $DFOP +## Estimate Pr(>t) Lower Upper +## parent_0 9.84e+01 1.24e-27 97.8078 98.9187 +## k1 1.55e-02 4.10e-04 0.0143 0.0167 +## k2 1.09e-11 5.00e-01 0.0000 Inf +## g 6.89e-01 2.92e-03 0.6626 0.7142 +## sigma 6.48e-01 2.38e-05 0.4147 0.8813 +## +## +## DTx values: +## DT50 DT90 DT50_rep +## SFO 86.6 2.88e+02 8.66e+01 +## IORE 85.5 7.17e+02 2.16e+02 +## DFOP 83.6 1.04e+11 6.34e+10 +## +## Representative half-life: +## [1] 215.8655</code></pre> +</div> +<div id="example-on-page-6" class="section level2"> +<h2>Example on page 6</h2> +<pre class="r"><code>p6 <- nafta(NAFTA_SOP_Attachment[["p6"]])</code></pre> +<pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> +<pre><code>## The half-life obtained from the IORE model may be used</code></pre> +<pre class="r"><code>plot(p6)</code></pre> +<p><img src="data:image/png;base64,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" /><!-- --></p> +<pre class="r"><code>print(p6)</code></pre> +<pre><code>## Sums of squares: +## SFO IORE DFOP +## 188.45361 51.00699 42.46931 +## +## Critical sum of squares for checking the SFO model: +## [1] 58.39888 +## +## Parameters: +## $SFO +## Estimate Pr(>t) Lower Upper +## parent_0 94.7759 7.29e-24 92.3479 97.2039 +## k_parent_sink 0.0179 8.02e-16 0.0166 0.0194 +## sigma 3.0696 3.81e-06 2.0456 4.0936 +## +## $IORE +## Estimate Pr(>t) Lower Upper +## parent_0 97.12446 2.63e-26 95.62461 98.62431 +## k__iore_parent_sink 0.00252 1.95e-03 0.00134 0.00472 +## N_parent 1.49587 4.07e-13 1.33896 1.65279 +## sigma 1.59698 5.05e-06 1.06169 2.13227 +## +## $DFOP +## Estimate Pr(>t) Lower Upper +## parent_0 9.66e+01 1.57e-25 95.3476 97.8979 +## k1 2.55e-02 7.33e-06 0.0233 0.0278 +## k2 3.88e-11 5.00e-01 0.0000 Inf +## g 8.61e-01 7.55e-06 0.8314 0.8867 +## sigma 1.46e+00 6.93e-06 0.9661 1.9483 +## +## +## DTx values: +## DT50 DT90 DT50_rep +## SFO 38.6 1.28e+02 3.86e+01 +## IORE 34.0 1.77e+02 5.32e+01 +## DFOP 34.1 8.42e+09 1.79e+10 +## +## Representative half-life: +## [1] 53.16582</code></pre> +</div> +<div id="example-on-page-7" class="section level2"> +<h2>Example on page 7</h2> +<pre class="r"><code>p7 <- nafta(NAFTA_SOP_Attachment[["p7"]])</code></pre> +<pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> +<pre><code>## The half-life obtained from the IORE model may be used</code></pre> +<pre class="r"><code>plot(p7)</code></pre> +<p><img src="data:image/png;base64,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" /><!-- --></p> +<pre class="r"><code>print(p7)</code></pre> +<pre><code>## Sums of squares: +## SFO IORE DFOP +## 3661.661 3195.030 3174.145 +## +## Critical sum of squares for checking the SFO model: +## [1] 3334.194 +## +## Parameters: +## $SFO +## Estimate Pr(>t) Lower Upper +## parent_0 96.41796 4.80e-53 93.32245 99.51347 +## k_parent_sink 0.00735 7.64e-21 0.00641 0.00843 +## sigma 7.94557 1.83e-15 6.46713 9.42401 +## +## $IORE +## Estimate Pr(>t) Lower Upper +## parent_0 9.92e+01 NA 9.55e+01 1.03e+02 +## k__iore_parent_sink 1.60e-05 NA 1.45e-07 1.77e-03 +## N_parent 2.45e+00 NA 1.35e+00 3.54e+00 +## sigma 7.42e+00 NA 6.04e+00 8.80e+00 +## +## $DFOP +## Estimate Pr(>t) Lower Upper +## parent_0 9.89e+01 9.44e-49 95.4640 102.2573 +## k1 1.81e-02 1.75e-01 0.0116 0.0281 +## k2 2.57e-10 5.00e-01 0.0000 Inf +## g 6.06e-01 2.19e-01 0.4826 0.7178 +## sigma 7.40e+00 2.97e-15 6.0201 8.7754 +## +## +## DTx values: +## DT50 DT90 DT50_rep +## SFO 94.3 3.13e+02 9.43e+01 +## IORE 96.7 1.51e+03 4.55e+02 +## DFOP 96.4 5.32e+09 2.69e+09 +## +## Representative half-life: +## [1] 454.5528</code></pre> +</div> +</div> +<div id="examples-where-the-representative-half-life-deviates-from-the-observed-dt50" class="section level1"> +<h1>Examples where the representative half-life deviates from the observed DT50</h1> +<div id="example-on-page-8" class="section level2"> +<h2>Example on page 8</h2> +<p>For this dataset, the IORE fit does not converge when the default starting values used by mkin for the IORE model are used. Therefore, a lower value for the rate constant is used here.</p> +<pre class="r"><code>p8 <- nafta(NAFTA_SOP_Attachment[["p8"]], parms.ini = c(k__iore_parent_sink = 1e-3))</code></pre> +<pre><code>## Warning in summary.mkinfit(x): Could not estimate covariance matrix; +## singular system. + +## Warning in summary.mkinfit(x): Could not estimate covariance matrix; +## singular system.</code></pre> +<pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> +<pre><code>## The half-life obtained from the IORE model may be used</code></pre> +<pre class="r"><code>plot(p8)</code></pre> +<p><img src="data:image/png;base64,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" /><!-- --></p> +<pre class="r"><code>print(p8)</code></pre> +<pre><code>## Sums of squares: +## SFO IORE DFOP +## 1996.9408 444.9237 547.5616 +## +## Critical sum of squares for checking the SFO model: +## [1] 477.4924 +## +## Parameters: +## $SFO +## Estimate Pr(>t) Lower Upper +## parent_0 88.16549 NA NA NA +## k__iore_parent_sink 0.00100 NA NA NA +## k_parent_sink 0.00803 NA NA NA +## sigma 7.44786 NA NA NA +## +## $IORE +## Estimate Pr(>t) Lower Upper +## parent_0 9.77e+01 7.03e-35 9.44e+01 1.01e+02 +## k__iore_parent_sink 6.14e-05 3.20e-02 2.12e-05 1.78e-04 +## N_parent 2.27e+00 4.23e-18 2.00e+00 2.54e+00 +## sigma 3.52e+00 5.36e-10 2.67e+00 4.36e+00 +## +## $DFOP +## Estimate Pr(>t) Lower Upper +## parent_0 95.70619 NA NA NA +## k__iore_parent_sink 0.00100 NA NA NA +## k1 0.02500 NA NA NA +## k2 0.00273 NA NA NA +## g 0.58835 NA NA NA +## sigma 3.90001 NA NA NA +## +## +## DTx values: +## DT50 DT90 DT50_rep +## SFO 86.3 287 86.3 +## IORE 53.4 668 201.0 +## DFOP 55.6 517 253.0 +## +## Representative half-life: +## [1] 201.0316</code></pre> +</div> +</div> +<div id="examples-where-sfo-was-not-selected-for-an-abiotic-study" class="section level1"> +<h1>Examples where SFO was not selected for an abiotic study</h1> +<div id="example-on-page-9-upper-panel" class="section level2"> +<h2>Example on page 9, upper panel</h2> +<pre class="r"><code>p9a <- nafta(NAFTA_SOP_Attachment[["p9a"]])</code></pre> +<pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> +<pre><code>## The half-life obtained from the IORE model may be used</code></pre> +<pre class="r"><code>plot(p9a)</code></pre> +<p><img src="data:image/png;base64,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" /><!-- --></p> +<pre class="r"><code>print(p9a)</code></pre> +<pre><code>## Sums of squares: +## SFO IORE DFOP +## 839.35238 88.57064 9.93363 +## +## Critical sum of squares for checking the SFO model: +## [1] 105.5678 +## +## Parameters: +## $SFO +## Estimate Pr(>t) Lower Upper +## parent_0 88.1933 3.06e-12 79.9447 96.4419 +## k_parent_sink 0.0409 2.07e-07 0.0324 0.0516 +## sigma 7.2429 3.92e-05 4.4768 10.0090 +## +## $IORE +## Estimate Pr(>t) Lower Upper +## parent_0 9.89e+01 1.12e-16 9.54e+01 1.02e+02 +## k__iore_parent_sink 1.93e-05 1.13e-01 3.49e-06 1.06e-04 +## N_parent 2.91e+00 1.45e-09 2.50e+00 3.32e+00 +## sigma 2.35e+00 5.31e-05 1.45e+00 3.26e+00 +## +## $DFOP +## Estimate Pr(>t) Lower Upper +## parent_0 9.85e+01 2.54e-20 97.390 99.672 +## k1 1.38e-01 3.52e-05 0.131 0.146 +## k2 5.75e-13 5.00e-01 0.000 Inf +## g 6.52e-01 8.13e-06 0.642 0.661 +## sigma 7.88e-01 6.13e-02 0.481 1.095 +## +## +## DTx values: +## DT50 DT90 DT50_rep +## SFO 16.9 5.63e+01 1.69e+01 +## IORE 11.6 3.37e+02 1.01e+02 +## DFOP 10.5 2.17e+12 1.21e+12 +## +## Representative half-life: +## [1] 101.4264</code></pre> +<p>In this example, the residuals of the SFO indicate a lack of fit of this model, so even if it was an abiotic experiment, the data do not suggest a simple exponential decline.</p> +</div> +<div id="example-on-page-9-lower-panel" class="section level2"> +<h2>Example on page 9, lower panel</h2> +<pre class="r"><code>p9b <- nafta(NAFTA_SOP_Attachment[["p9b"]])</code></pre> +<pre><code>## Warning in sqrt(diag(covar)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in sqrt(diag(covar_notrans)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in sqrt(1/diag(V)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in cov2cor(ans$cov.unscaled): diag(.) had 0 or NA entries; non- +## finite result is doubtful</code></pre> +<pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> +<pre><code>## The half-life obtained from the IORE model may be used</code></pre> +<pre class="r"><code>plot(p9b)</code></pre> +<p><img src="data:image/png;base64,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" /><!-- --></p> +<pre class="r"><code>print(p9b)</code></pre> +<pre><code>## Sums of squares: +## SFO IORE DFOP +## 35.64867 23.22334 35.64867 +## +## Critical sum of squares for checking the SFO model: +## [1] 28.54188 +## +## Parameters: +## $SFO +## Estimate Pr(>t) Lower Upper +## parent_0 94.7123 2.15e-19 93.178 96.2464 +## k_parent_sink 0.0389 4.47e-14 0.037 0.0408 +## sigma 1.5957 1.28e-04 0.932 2.2595 +## +## $IORE +## Estimate Pr(>t) Lower Upper +## parent_0 93.863 2.32e-18 92.4565 95.269 +## k__iore_parent_sink 0.127 1.85e-02 0.0504 0.321 +## N_parent 0.711 1.88e-05 0.4843 0.937 +## sigma 1.288 1.76e-04 0.7456 1.830 +## +## $DFOP +## Estimate Pr(>t) Lower Upper +## parent_0 94.7123 1.61e-16 93.1355 96.2891 +## k1 0.0389 NaN 0.0316 0.0478 +## k2 0.0389 1.13e-08 0.0203 0.0743 +## g 0.7599 NaN NA NA +## sigma 1.5957 2.50e-04 0.9135 2.2779 +## +## +## DTx values: +## DT50 DT90 DT50_rep +## SFO 17.8 59.2 17.8 +## IORE 18.4 49.2 14.8 +## DFOP 17.8 59.2 17.8 +## +## Representative half-life: +## [1] 14.80013</code></pre> +<p>Here, mkin gives a longer slow DT50 for the DFOP model (17.8 days) than PestDF (13.5 days). Presumably, this is related to the fact that PestDF gives a negative value for the proportion of the fast degradation which should be between 0 and 1, inclusive. This parameter is called f in PestDF and g in mkin. In mkin, it is restricted to the interval from 0 to 1.</p> +</div> +<div id="example-on-page-10" class="section level2"> +<h2>Example on page 10</h2> +<pre class="r"><code>p10 <- nafta(NAFTA_SOP_Attachment[["p10"]])</code></pre> +<pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> +<pre><code>## The half-life obtained from the IORE model may be used</code></pre> +<pre class="r"><code>plot(p10)</code></pre> +<p><img src="data:image/png;base64,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" /><!-- --></p> +<pre class="r"><code>print(p10)</code></pre> +<pre><code>## Sums of squares: +## SFO IORE DFOP +## 899.4089 336.4348 899.4089 +## +## Critical sum of squares for checking the SFO model: +## [1] 413.4841 +## +## Parameters: +## $SFO +## Estimate Pr(>t) Lower Upper +## parent_0 101.7315 6.42e-11 91.9259 111.5371 +## k_parent_sink 0.0495 1.70e-07 0.0404 0.0607 +## sigma 8.0152 1.28e-04 4.6813 11.3491 +## +## $IORE +## Estimate Pr(>t) Lower Upper +## parent_0 96.86 3.32e-12 90.848 102.863 +## k__iore_parent_sink 2.96 7.91e-02 0.687 12.761 +## N_parent 0.00 5.00e-01 -0.372 0.372 +## sigma 4.90 1.77e-04 2.837 6.968 +## +## $DFOP +## Estimate Pr(>t) Lower Upper +## parent_0 101.7315 1.41e-09 91.6534 111.8097 +## k1 0.0495 6.41e-04 0.0303 0.0809 +## k2 0.0495 1.66e-02 0.0201 0.1219 +## g 0.6634 5.00e-01 0.0000 1.0000 +## sigma 8.0152 2.50e-04 4.5886 11.4418 +## +## +## DTx values: +## DT50 DT90 DT50_rep +## SFO 14.0 46.5 14.00 +## IORE 16.4 29.4 8.86 +## DFOP 14.0 46.5 14.00 +## +## Representative half-life: +## [1] 8.862193</code></pre> +<p>Here, a value below N is given for the IORE model, because the data suggests a faster decline towards the end of the experiment, which appears physically rather unlikely in the case of a photolysis study. It seems PestDF does not constrain N to values above zero, thus the slight difference in IORE model parameters between PestDF and mkin.</p> +</div> +</div> +<div id="the-dt50-was-not-observed-during-the-study" class="section level1"> +<h1>The DT50 was not observed during the study</h1> +<div id="example-on-page-11" class="section level2"> +<h2>Example on page 11</h2> +<pre class="r"><code>p11 <- nafta(NAFTA_SOP_Attachment[["p11"]])</code></pre> +<pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> +<pre><code>## The half-life obtained from the IORE model may be used</code></pre> +<pre class="r"><code>plot(p11)</code></pre> +<p><img src="data:image/png;base64,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" /><!-- --></p> +<pre class="r"><code>print(p11)</code></pre> +<pre><code>## Sums of squares: +## SFO IORE DFOP +## 579.6805 204.7932 144.7783 +## +## Critical sum of squares for checking the SFO model: +## [1] 251.6944 +## +## Parameters: +## $SFO +## Estimate Pr(>t) Lower Upper +## parent_0 96.15820 4.83e-13 90.24934 1.02e+02 +## k_parent_sink 0.00321 4.71e-05 0.00222 4.64e-03 +## sigma 6.43473 1.28e-04 3.75822 9.11e+00 +## +## $IORE +## Estimate Pr(>t) Lower Upper +## parent_0 1.05e+02 NA 9.90e+01 1.10e+02 +## k__iore_parent_sink 3.11e-17 NA 1.35e-20 7.18e-14 +## N_parent 8.36e+00 NA 6.62e+00 1.01e+01 +## sigma 3.82e+00 NA 2.21e+00 5.44e+00 +## +## $DFOP +## Estimate Pr(>t) Lower Upper +## parent_0 1.05e+02 9.47e-13 99.9990 109.1224 +## k1 4.41e-02 5.95e-03 0.0296 0.0658 +## k2 9.20e-13 5.00e-01 0.0000 Inf +## g 3.22e-01 1.45e-03 0.2814 0.3650 +## sigma 3.22e+00 3.52e-04 1.8410 4.5906 +## +## +## DTx values: +## DT50 DT90 DT50_rep +## SFO 2.16e+02 7.18e+02 2.16e+02 +## IORE 9.73e+02 1.37e+08 4.11e+07 +## DFOP 3.31e+11 2.08e+12 7.53e+11 +## +## Representative half-life: +## [1] 41148169</code></pre> +<p>In this case, the DFOP fit reported for PestDF resulted in a negative value for the slower rate constant, which is not possible in mkin. The other results are in agreement.</p> +</div> +</div> +<div id="n-is-less-than-1-and-the-dfop-rate-constants-are-like-the-sfo-rate-constant" class="section level1"> +<h1>N is less than 1 and the DFOP rate constants are like the SFO rate constant</h1> +<p>In the following three examples, the same results are obtained with mkin as reported for PestDF. As in the case on page 10, the N values below 1 are deemed unrealistic and appear to be the result of an overparameterisation.</p> +<div id="example-on-page-12-upper-panel" class="section level2"> +<h2>Example on page 12, upper panel</h2> +<pre class="r"><code>p12a <- nafta(NAFTA_SOP_Attachment[["p12a"]])</code></pre> +<pre><code>## Warning in summary.mkinfit(x): Could not estimate covariance matrix; +## singular system.</code></pre> +<pre><code>## Warning in sqrt(diag(covar)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in sqrt(diag(covar_notrans)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in sqrt(1/diag(V)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in cov2cor(ans$cov.unscaled): diag(.) had 0 or NA entries; non- +## finite result is doubtful</code></pre> +<pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> +<pre><code>## The half-life obtained from the IORE model may be used</code></pre> +<pre class="r"><code>plot(p12a)</code></pre> +<p><img src="data:image/png;base64,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" /><!-- --></p> +<pre class="r"><code>print(p12a)</code></pre> +<pre><code>## Sums of squares: +## SFO IORE DFOP +## 695.4440 220.0685 695.4440 +## +## Critical sum of squares for checking the SFO model: +## [1] 270.4679 +## +## Parameters: +## $SFO +## Estimate Pr(>t) Lower Upper +## parent_0 100.521 8.75e-12 92.461 108.581 +## k_parent_sink 0.124 3.61e-08 0.104 0.148 +## sigma 7.048 1.28e-04 4.116 9.980 +## +## $IORE +## Estimate Pr(>t) Lower Upper +## parent_0 96.823 NA NA NA +## k__iore_parent_sink 2.436 NA NA NA +## N_parent 0.263 NA NA NA +## sigma 3.965 NA NA NA +## +## $DFOP +## Estimate Pr(>t) Lower Upper +## parent_0 100.521 2.74e-10 92.2366 108.805 +## k1 0.124 5.43e-06 0.0959 0.161 +## k2 0.124 6.45e-02 0.0315 0.490 +## g 0.880 NaN NA NA +## sigma 7.048 2.50e-04 4.0349 10.061 +## +## +## DTx values: +## DT50 DT90 DT50_rep +## SFO 5.58 18.5 5.58 +## IORE 6.49 13.2 3.99 +## DFOP 5.58 18.5 5.58 +## +## Representative half-life: +## [1] 3.987308</code></pre> +</div> +<div id="example-on-page-12-lower-panel" class="section level2"> +<h2>Example on page 12, lower panel</h2> +<pre class="r"><code>p12b <- nafta(NAFTA_SOP_Attachment[["p12b"]])</code></pre> +<pre><code>## Warning in sqrt(diag(covar)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in qt(alpha/2, rdf): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in qt(1 - alpha/2, rdf): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in sqrt(diag(covar_notrans)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in pt(abs(tval), rdf, lower.tail = FALSE): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in sqrt(1/diag(V)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in cov2cor(ans$cov.unscaled): diag(.) had 0 or NA entries; non- +## finite result is doubtful</code></pre> +<pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> +<pre><code>## The half-life obtained from the IORE model may be used</code></pre> +<pre class="r"><code>plot(p12b)</code></pre> +<p><img src="data:image/png;base64,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" /><!-- --></p> +<pre class="r"><code>print(p12b)</code></pre> +<pre><code>## Sums of squares: +## SFO IORE DFOP +## 58.90242 19.06353 58.90242 +## +## Critical sum of squares for checking the SFO model: +## [1] 51.51756 +## +## Parameters: +## $SFO +## Estimate Pr(>t) Lower Upper +## parent_0 97.6840 0.00039 85.9388 109.4292 +## k_parent_sink 0.0589 0.00261 0.0431 0.0805 +## sigma 3.4323 0.04356 -1.2377 8.1023 +## +## $IORE +## Estimate Pr(>t) Lower Upper +## parent_0 95.523 0.0055 74.539157 116.51 +## k__iore_parent_sink 0.333 0.1433 0.000717 154.57 +## N_parent 0.568 0.0677 -0.989464 2.13 +## sigma 1.953 0.0975 -5.893100 9.80 +## +## $DFOP +## Estimate Pr(>t) Lower Upper +## parent_0 97.6840 NaN NaN NaN +## k1 0.0589 NaN NA NA +## k2 0.0589 NaN NA NA +## g 0.8275 NaN NA NA +## sigma 3.4323 NaN NaN NaN +## +## +## DTx values: +## DT50 DT90 DT50_rep +## SFO 11.8 39.1 11.80 +## IORE 12.9 31.4 9.46 +## DFOP 11.8 39.1 11.80 +## +## Representative half-life: +## [1] 9.461912</code></pre> +</div> +<div id="example-on-page-13" class="section level2"> +<h2>Example on page 13</h2> +<pre class="r"><code>p13 <- nafta(NAFTA_SOP_Attachment[["p13"]])</code></pre> +<pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> +<pre><code>## The half-life obtained from the IORE model may be used</code></pre> +<pre class="r"><code>plot(p13)</code></pre> +<p><img src="data:image/png;base64,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" /><!-- --></p> +<pre class="r"><code>print(p13)</code></pre> +<pre><code>## Sums of squares: +## SFO IORE DFOP +## 174.5971 142.3951 174.5971 +## +## Critical sum of squares for checking the SFO model: +## [1] 172.131 +## +## Parameters: +## $SFO +## Estimate Pr(>t) Lower Upper +## parent_0 92.73500 5.99e-17 89.61936 95.85065 +## k_parent_sink 0.00258 2.42e-09 0.00223 0.00299 +## sigma 3.41172 7.07e-05 2.05455 4.76888 +## +## $IORE +## Estimate Pr(>t) Lower Upper +## parent_0 91.6016 6.34e-16 88.53086 94.672 +## k__iore_parent_sink 0.0396 2.36e-01 0.00207 0.759 +## N_parent 0.3541 1.46e-01 -0.35153 1.060 +## sigma 3.0811 9.64e-05 1.84296 4.319 +## +## $DFOP +## Estimate Pr(>t) Lower Upper +## parent_0 92.73500 9.25e-15 8.95e+01 9.59e+01 +## k1 0.00258 4.28e-01 1.38e-08 4.82e+02 +## k2 0.00258 3.69e-08 2.20e-03 3.03e-03 +## g 0.00442 5.00e-01 0.00e+00 1.00e+00 +## sigma 3.41172 1.35e-04 2.02e+00 4.80e+00 +## +## +## DTx values: +## DT50 DT90 DT50_rep +## SFO 269 892 269 +## IORE 261 560 169 +## DFOP 269 892 269 +## +## Representative half-life: +## [1] 168.5123</code></pre> +</div> +</div> +<div id="dt50-not-observed-in-the-study-and-dfop-problems-in-pestdf" class="section level1"> +<h1>DT50 not observed in the study and DFOP problems in PestDF</h1> +<pre class="r"><code>p14 <- nafta(NAFTA_SOP_Attachment[["p14"]])</code></pre> +<pre><code>## Warning in sqrt(diag(covar)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in sqrt(1/diag(V)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in cov2cor(ans$cov.unscaled): diag(.) had 0 or NA entries; non- +## finite result is doubtful</code></pre> +<pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> +<pre><code>## The half-life obtained from the IORE model may be used</code></pre> +<pre class="r"><code>plot(p14)</code></pre> +<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAqAAAAKgCAMAAABz4j/3AAADAFBMVEUAAAABAQECAgIDAwMEBAQFBQUGBgYHBwcICAgJCQkKCgoLCwsMDAwNDQ0ODg4PDw8QEBARERESEhITExMUFBQVFRUWFhYXFxcYGBgZGRkaGhobGxscHBwdHR0eHh4fHx8gICAhISEiIiIjIyMkJCQlJSUmJiYnJycoKCgpKSkqKiorKyssLCwtLS0uLi4vLy8wMDAxMTEyMjIzMzM0NDQ1NTU2NjY3Nzc4ODg5OTk6Ojo7Ozs8PDw9PT0+Pj4/Pz9AQEBBQUFCQkJDQ0NERERFRUVGRkZHR0dISEhJSUlKSkpLS0tMTExNTU1OTk5PT09QUFBRUVFSUlJTU1NUVFRVVVVWVlZXV1dYWFhZWVlaWlpbW1tcXFxdXV1eXl5fX19gYGBhYWFiYmJjY2NkZGRlZWVmZmZnZ2doaGhpaWlqampra2tsbGxtbW1ubm5vb29wcHBxcXFycnJzc3N0dHR1dXV2dnZ3d3d4eHh5eXl6enp7e3t8fHx9fX1+fn5/f3+AgICBgYGCgoKDg4OEhISFhYWGhoaHh4eIiIiJiYmKioqLi4uMjIyNjY2Ojo6Pj4+QkJCRkZGSkpKTk5OUlJSVlZWWlpaXl5eYmJiZmZmampqbm5ucnJydnZ2enp6fn5+goKChoaGioqKjo6OkpKSlpaWmpqanp6eoqKipqamqqqqrq6usrKytra2urq6vr6+wsLCxsbGysrKzs7O0tLS1tbW2tra3t7e4uLi5ubm6urq7u7u8vLy9vb2+vr6/v7/AwMDBwcHCwsLDw8PExMTFxcXGxsbHx8fIyMjJycnKysrLy8vMzMzNzc3Ozs7Pz8/Q0NDR0dHS0tLT09PU1NTV1dXW1tbX19fY2NjZ2dna2trb29vc3Nzd3d3e3t7f39/g4ODh4eHi4uLj4+Pk5OTl5eXm5ubn5+fo6Ojp6enq6urr6+vs7Ozt7e3u7u7v7+/w8PDx8fHy8vLz8/P09PT19fX29vb39/f4+Pj5+fn6+vr7+/v8/Pz9/f3+/v7////isF19AAAACXBIWXMAAA7DAAAOwwHHb6hkAAAgAElEQVR4nO2dCXwM1x/AHSXOOCL3sUlIhIgjUXdFUUQQR52JOKrauqmKukX9475VSQVVjbuOFq0SSussqkXrPqoVceSSY5Pd95/Z3UTMzvF25+3um/h9fTI7O/Pbt29+vsm8mXnzpgQCAIopYesKAIAYIChANSAoQDUgKEA1IChANSAoQDUgKEA1IChANSAoQDUgKEA1IChANSAoQDUgKEA1IChANSAoQDUgKEA1IChANSAoQDUgKEA1IChANSAoQDUgKEA1IChANSAoQDUgKEA1IChANSAoQDUgKEA1IChANSAoQDUgKEA1VAp6o13XFbauA0AHVAo6+ThqZes6AHRApaDpmvsRtq4DQAe2EfRkU1efyfmoRHUHB4dFSDM/qEarQ0XX7w3/R7yAJB6B+ZYBSscmgmY6H8hP7bgalcjQvf2g/Z38Y147X64/9IlGogQMQVPq6V60411cx2r0U/2KuB/NrTdgfWwi6DWnfIR+224Q9A+ndGZ6xDe/cP3Qzr0ii4RrUvQ/L99hCLokSKV73V/vaWrd/frpjWZB89HjvuQ2BLA4NhFUE9Qq4T775TpBVw1jp1rXO8x0m9tvat/Cvf0y75oT8k/1aBjD/mjn+Hh/rHuHdDLqVnbYjVDIMf38q4L+GK/SvV46gdSdDuinE35CzV+MvWydjaQHqQYVh/iYou9s3XCyTRs098teVdpc06XMB02M1S1rfoSZrL0wPuFtrSHqaNCjjL4LT1W4htifgw1Ss9ttZOcQmzb9yoQodNNHo5/XpVJVgiWPmXugMhQzr0wPrX56o3mjeX9/aOVttTlSDaqX7AhkpyCojv+avWNI2ZIRugU+V5lJDppa82xByDRVaGhgn1NtEGJ/PlmC0NZB7Bxi06Zf+dwpd+4sQyAnlYWCovNBCYVTFPXQsttFH2INqpctJ5bU6+wUBEXbZzKTc9UMKTvtmc1Mz7uodetm9SkMi5uNUL76VDgjKPMzcSnzwSh2DrFp069E3Q41uGUI5Bd0axJCK4bop8zbEzO0k+u3uWfZ7aML4QaVrr2kax6lR7iovmXSrB7l3vC9mINMMz0mXjvBxbFPTlKEfp2tsNFB0i/aJzO7FOx0+vb8T3vWf6NuPsvz68Kw8wFP1T1XFQi6Pzg9p8P6QkH1K9E3oW0KAnl28Zpr6jWh6ufdV+inzH9MRPqD9mjnbCtvsG0RbFCx7SV98+jzXpqTg5g0r22b9TTAIOjV0Cx142NJEfp1tsI2u/h9jWo4Rz4qEFQ9M8Cp2R79mnl9x7wMW+3nPrzwL6h2lq/PuLxCQfUrUUb5DQWBPH9Bs0vcUQ/xdhup1k+Zg7AvEJrUKPRfy28iXfA3qNj2kr55dMlj8jEtk+Z+TNv0fwZBUcqhzxwOJkXo19kKyq4kPXX4q8eV1bauRfFCuEHF/rYbmkrP13VvoT0V3n8XQgt0go6MP11n4akIRlD9OlvVnjJBJwxC2yput3UtihfCDSpWUH3zKHaC9mnFZ6fC17XPTguKSaqrfuodP3c0eqjalxShX2er2lMm6AvmF1vqKhJgIoINKl17Sdc8utvMVbWcPUga6dVo7qKcaL+wWdtvN6rbZUFIUoR+na2gTFAAeBUQFKAaEBSgGhAUoBpJQc9OHRI95Zw1qgIAxkgJusB/5vr1swMXWaUyAMBFSlDvNHaaFWiFqgCAMVKC1tL1q0iuz1n839rXmHXpxP8bIJ9CSAma6Bw1ZUq021bO4viA4a8vHj/I1NEYyKcQkgdJyQmxc9Ync5eue1/W/4ey6SjWH908IJ9CmHkUX5DQSz1qunr139Ih6MNHZtdPcYCgZJElqMBRvCGhD1yiy5QpU67U5zvHNs6TU0dFAYKSRZag3KN4zbfbWQaF6d4t9XSsEOT1VqlKQS6+5xHa0Chgeo7s+lIPCEoWWYJyj+KzBvZmUXno3vXxbuI5vbJj2WHoXNl9aLFdnSZ2r8HoCSAoWWQJKnAUPzBA9zK0Wr9K0aVLl1ANG1VmC6rBZHlPqVw5dVUEIChZ5B0k8R/FGwTdHFilVMnSpe0qVq9crpJ7qd6bLmSXvGMIud+0fI155tSXekBQssgTlB+DoLnNwoY4VY10+nzne2/l363h369+mRK95+y+qWEaqzW8Vw4vXSxHUQRByWJBQZF60/RtGnS2T6vJzxH61q6iQ/mobz7t6lPxzaGjSt1BaJCvecXTDQhKFlmC1lPp4SwuEPRVzgzqvUs3k3ZqXafSjg5t3qx84jl2PRUDCEoWWYKmBMU/YOEs5he0KGml5z7aXknVrLJHx4kJZzMla6kgZAsaZrQEBBVCche/mHewQmlB0eIypUupGDHvfDd/YHAF366Tv76QXWR1zoz6jRYr8/44OYJGslSIjOQsBkGFkNkGFSN51+nCu6nzb+z+rF/98n49pyb+rj8PNarLpTMt48z7dhsjR9AF9nGJiTUSEzmLQVAhLCioMXlXd8zuE1i+dq9piRerXli15lht877dxsjaxZ9tnIhUL99mVtaN1VPCVW6lFAw9gupR/7l9Vu+6JUr7NqhcLVs6nD7ktUHTowe7GC2Uk0/FQ5ugeir02D7DuUz5mt0mbzqnsEMouQdJW4wvB4OgQthK0Fy7tlXtuzjk/b1r7oBGFbw7fRz/yyujqzy8qpb5DZbDAqeZQFAhbPYX1Pfs8/RvDU9D0tz6bsHQplVc2o5Y9ZNufNnsns51fE7L/QpLAYKShU5Bv3WZONrpl1cW/XN45UdvO1dpOnR+/3q13dp60noSCgQlC52Comvzl9znW/7sl/iJFcvYBfi/seQ3OhunIKhpPE9YdU1sPaWCiuH8afalzSU7Nayg6jBmzVHahpsFQU3iplv/kS6bRQIUKGhDp+0/96x4B2luH1wyPNSpSpPouTv/pKajKQhqEv2XI/SXg0h7TYGCLq/foXXYy3vxn51aH9M9oHzNzhPWJv1n0S/GAgQ1ifrsg6m8RJ5bYYm7Oi2cUE1M5Ypv3+QsVP+9Z/57LWtUeXPg3B2/2/IMPwhqEu+uRehu1XzhAEvc1WnxhGoFDXz6a0JMjzrlvDuMWvXjXZsMnQ6CmsSfziOmea0RCSB6V6cBmyX0SgvHxuzf8/ybB5Z82NajXP1en2749Yl16wCCmsa/S+aIDo9I9K5OA7ZK6OPyPsNrl71V+D7zwtbYyDerVm8W/dn2i9Y6KQWCksWCd3VancnV85HWM5q7OPnE+sk9g8p5vD184Z6rxkf7W1s3+ITggF8gKFnI3tX57y2W7jbqKNcniJm0eZt/pebu4c/Hh/uV8+0wctmB6y+v5W93dLZXGfdiNxsQlCyyBNXs3K3d1Gvmi4L3mQG+LJWdyNTNVNaXuYxulZ8jGqO+fmDZyI6+5fzCxqw8dDMPoXr+V59OLPOUWCVAULLIEnR0SMtunXYPHMJZbKuEahuXqVzGH2sYqNxr+xZ/1N67nF9nu14Hb6hLnydWCRCULLIEdcnItf8LpblxFtssodpvP9kqckrNmJxr+6q7tvMpU7LNqGXf/UXkahQIShZZgrqnpNudQ8kenMWKSugSZ3tXJ//vlo3qVKucd/sPFuy+/EL6QyKAoGSRd6LexfPjkLjWMZzFikqoZmrV8p31l9rybv6wekK3uuXc3ho855szpjRLk6dFLjR4DYKSRd5R/IXL6PikTdxL/UpLKKfVqr2f9OWnfUKqVmvc59Mvk+5hdDx9ovr46wEt9MWAoGRRYGcRa5Fy5ps5g1u729XuPHrpvj+zRCKXsfcFNz+smwdByQKCSpF9Zd+y0eF17FxbDpz11YmHfCETF90/kTIkQTcPgpIFBMVE++D4humRzZ3L1e0yZtm+P145ktrm5tTKodqfunk5gmbOiGSHr4riLC6W+cQFBDWRzMt7ljB/UMs5Nxsw9cujd3QNzz0OPhFO9n/r1ssRNCosPngjQnacxcU6n1KAoGby8OTm2MGhXna+7YbN7TLq6J7bgzfolssR1DkNPfZ+WETQB/pLx/4y66pkQFB55F7/Ye3khs6OTVCbg7oFcgT1foJQQjdtoaCZdfSXjp1lV1O5gKAE+M/tswMjG+ofYSJH0MUOU5G2f/vSnMWvXT6LAoKS4M7IsCmGsU9kHcVf3ItQ/s6xnKWvXz6LIClojAETnrkNCSUL5FMIVtD4+Pj36sTNr/c//DIhoWSBfAph2MU3ZPZeqY3wy4SEkgXyKYRBULcshLJV+GVCQkWIKAC/yFfyebtzebcFZtVMmeAIOqLtzl3tR+OXCYKKkFQAfpFF86ltMD/7Ons2/3UBR1D12n7915kwIicIKk7OsYMH94XgF1k0nzf8mMm+rqbXS6ngCJq/sI96Fe+dFDYZWYRuMAQd2tghwmshfpFF83kdBC2CQdDxfQPze37As95WI4vQDIagNdWfnf7HBMde2cU3nJd1PXiTGRVTKDiC+maEIjX3vg4W2kYWoQEMQZ2zDi5CdfGLfCWfdzqXczfhnLQ1uHMN60ZF88AR1Cs5FD3h67BA2cgiVIAh6LjQlIDRwfhF8uYz75rIkHDW5Hk7z9q1L1useBxBl9ZXzQr4nGc9ZSOLUAGGoNqr6PTcO/hFvsznf3ETv9fPXfILcOtIcEAU8/lolAZ91dBixWNdiz8yLe433gDOyCLQ+wZL0HiW7fhFFgp602XMwvr6WxQDt6L897kX7W1CHXYE7+rkRr7ggCNoktB9Y+r1GWlTIuJyChdA/0UcQWNiYkZ6z8YvslDQ4fOZPWo11oVk9m/A5SBzKkiaVkcRSq9s/nOBHt8SvS0RR9AQn1m3edcPbJf1bs/N4cO5i2EXL8mTzvhFFuaz/U/MpDE7Ckp25RcI/dAG48PnmpWpKTYGvGy2+O06YsplnFd50cPBp+4fIgFYu/gbcxu04bt44ZyNHDNQuqIHbiANpqBqP/wiC/J5sZZD37/vVtcNJDm809FdNXdIf/a5x/a831Qn8L/MdHZ1brvU7D+gkwaq0aZ6IgF4/UFzD4WW51nf6HcUfAclc30EQcXpy1DHaJRIYQz5vO+y3CegklO87k3qO/YOEwsC7k4eukFgyJ/v2b/Uiyfgf5mVCWEPblxFni2AI+juKKdu32TwrD/t1btrnZF+GziLQVBxDjIk5UiGFWLI5/KRKHfPm0v1ywZ1P/19wNf6+RvOU9e3ERD+ADuy5KKP8b/MyrT7gWmvVBEZXRhH0A4JzwUCsncvnL7aqH0Kgopgfgfwz6ah3a2rv63ruZ9ln43QT6H69aPimP8Jt7u8n031/DrntNcvvOtoYKv/96d7iO1NMARN4Y69JAUIKoL5HcBPe2/y+cKxX1t2/jE7BOvvhisk3cbUcezR5Dj/hy+8Va4290Q1WXZ0arPQ/IP4be2axIqN2oIhaH5D0WfVGQOCimNuB/DPy9Zw+kbjdYedb7ABqQcZ9tyR9mceTyr92LR6EmNz7b1HO4ywWPE4u/juFduEh4fjlwmCimN2B/CwTcyhkO/IVYzgfwb6OHQ3NN36+TXq5ex5yeSqkqFlEnse1GJP+sMR9JQO/DJBUHGEO4BLdF9c/k46GlBm2mD3ewhpbxX+yeyX+PPOB41FH+ZiQSi4kiTcH5QfEFQcwQ7gUt0X80dUdi19GKG5r/Z9TGx4V7O+lq2eVjpiRD7aaEKDxURk9QcVAAQVI/B6uA6eVUbdF08eZmnvzkz+RSjz8OHv5gUxr4saFLzXvw6ztwtMKvIe8/WLmk4dd5gQz/+a+o6rh1e8+Z+XeG0jpz+oACCoGDtSBZtM3O6LL8Las7iWZyYJCP3KvLxd8SH61dez8L3htS3nPc7rDtWbrbyqmf45o9fdLdrJ+rzoaz05/UEFAEEl0T7jW4rTfXGZ59h3vYk81bn7bqYeYg8apgJZ/UEFAEHF2T1I26LiCr413Aej6Xk1nxeXbiLzWMdObE1r/0WkLMshrz8oPyCoOF4nk7o/8cEv0kL5XNnmKYoPwBiC36ZgDh7Gv0sSAAQVx0UTs07LfbiUCC/zSfSJuJqJlSo3vUKyREuA1VlEcJfEDwgqTtdenqnjW+AXWZDPb1wr+nxnZrV4yaPinhFxsG6ao2OXpAwwBE37/BKKNeHgxJDPix5/oF9d7phZL6WCI6jwLgkGbjACQ1AzL3zEfcpMhsWbWS+lgiOo4C4JBm4wBkNQMy98LB7PTKK+MrNeSgVHUMFdEgzcYAyGoGZe+LjpsufRV25GJ6GKOTiCPv+k6VuxfI9YhYEbjME5zWTmhY+f33J554KZ1VIsOIL26n/23IBBPOth4AZjMASFCx8mgDWALdOgz1PxBXCufGSPHM7iZ8Luq9iBc6mTkgsfGZuW/26ZkgmCI2jrhwg9aCYUFPZyVvPVWpZmvoQqp0QkBb39axZCqdeW4xdpIUEfqnqP8VhpkaIJgvOUj37Ow4c7fsqzPpKlQmQkZzHskkRYWtLL8XtPe4/W+EXKy+fPS3fxn9IaMYv5u1OV6MUpCyAp6BoDiTzrF9jHJSbWSOSuAkFFcL2AjpXYbNIVcFn5HFNnXNs3ee9KCz3GTBpelFG2NcC5ae72kasCd+2dbZyIVEZLQVARqiKkrSowyoIAcvL5p/cLhPryXqceHsccRFSl/WqntKA7fFybe7sIjOmbHj3YxWghCCqCA/Nj4uh/cvK5rQ8zWccdPUvHXbf3ZtScZ37R1kFS0AOqo8z0nP9egZgtxs9TAUFFqJaSkuLI/KTgFyknnxf9chAavJh33dOVs+kd0aEASUFb/KybPdMcv0wQVAS7AvCLlJXPQU1ie9XlG7dIIUgKWkPfXtKYsFsCQckiK5/afdPXi43cQTuSggbqx/z519xB/183aBNU6UgKGvcOe5yX3cOcEYFfR+QImjkjchfzEsVZDPkUghVUM9xpWOwIz77wpDk85AgaFRbPPuWQ2zyFfAqhPw96edXEJadNKRMSaibOaeix90MQtCiYN82ZBCTUTLyfIJTQTQuCFgEEJYwcQRc7TEXa/u1LF7zX7N7O0ho63wgAgpqOrKP4i3sRyt9Z+PijrOjeLCp3AvVSKiAoYeSeZrphvAjyKQQIajpyBeV5jjzkUwgQ1HRAULKAoISRK+ha40WQTyEkBYWBG4yAS51kkSUoDNxgDAhKFlmCwsANxoCgZJElKAzcYAwIShZZgsLADcaAoGSRd5DEGbghfxPcFw+CkkWWoNz+izCyCAhKGlmCQv9FY0BQssgSFPovGgOCkkXeaSbov2gECEoWWYJy+y8agISSBfIphORRPKf/ogFIKFkgn0JAZxHTAUHJAoISphgImvynrR7tzQMIShjFC5o/yKGuxxFrfqMoIChhFC/oss5ZKMmVmtFyQFDCKF7QCHYcwyZnrPmVYoCghJEtaJjREuvmc8ja1Dt5Pjz37tkGEJQwcgSlYsz/kxUruFZqorXmV4oBghJGjqBUjPm/KqRLy35u2db8SjFAUMLI2sXTMOZ/9z3M5M2z1vxKMUBQwshrg7465r96yTyWYJXMOpnEoC8R0ta8bs2vFAMEJYzcg6SiY/7nzohhad1UXpGmcdxj14Xhb0MbtLhigaFv1r0vr0gT+aFj8IRnVv1GMUBQwlhgZBErC0oXIChhQFCygKCEscDQNyCoECCo6VjgUicIKgSMzWQ6IChZYGwmwoCgZCE7NtP9Wyzd/QlUTKmAoGQhOjZTZh1flqo+JGqmUEBQslhibCZIKFkgn0KYOjaTAUgoWSCfQph5mgkSShbIpxDmChr9zMCN21j8pfywWwWb3NYCgpqSz79vEtkmnM0mU8ytB8/EEM2nmYJ+51BNT9USJbEoBmElDZtczfGCeUkjmU8C24TzTYSKKV1NDNF8miloIS8qYIVlVMIKS6+MFZZaBSvsWTWssCcOWGGPHbHCZIKTz48+lwy5UUu6mG57JUOOhUoX09joKo4RWwZIFyMECAqCCgOCcgBBQVAOICgIKgwIygEEBUE5gKAgqDDFQFDNHJJh+Z+RDMubixWm/h/JMJngJGqf9GmujMXSxXx1WzLk33XSxax6IhlybZt0MULIFRQALAoIClANCApQDQgKUA0IClANCApQDQgKUA0IClANCApQjUxBt/n7LJSKWeLtEp2JEzk/EqPA08HO0XnSYQvcXUdrpMJS6qGCbxSL1IVhb4UsJMvHqoZ0IjGyKJ1BjPTJT508QZOd7qb6S1yLvVg9JTVsJkbkOftI6QKzvS5lt0uQDLvokpIRslMibEmQqmATxCJ1YdhbIQvp7cKphnQiMbIonUGM9BFInTxBE6IQmjlVPGYvsz4+UjoyvXFcpHSBu3sjlJUpGfa7Z3puy10SYT/Gqwo2QSxSF4a7FfKQLB+nGhiJxMiidAYx0kcgdfIEnTMFofVDJMMeB++SjoxOTIyULnBhtxCn3mnSpU0oZ99NKxX2QFWwCaKRbBjuVsgDp3zJamAkEieL0hnESJ/81MkTNJb91miJIO0G7w3SkVsGIyavkmEzAm5n9JwqGXY85Oy1jl9JhbHp08eIRuqyjLcVMpEuX7oaOInEyCJGBjHSJz918gRlv3H2p+Ix+ZFdH2JERrioalQIkwxbPRKhzRGSYZNimf1YL6kwNn36GNFINgxzK2QiWT5GNXASiZFFjAxipE9+6uQJ+sgtOStQouW7q50WM5L5xZcMu+1/Kz08TjJsU8PHaQNnSoWx6dPHiEayYfhbIQfJ8vGqIZlIjCxiZBAjffJTJ/M0U2JQoNS5g3Gl7ezsonAimbxKhyV4u72fIxmmmeTmOviFVJhuB6SPEYtkw/C3QhZS5eNVQzqR0lnEyCBG+uSnDk7UA1QDggJUA4ICVAOCAlQDggJUA4ICVAOCAlQDggJUA4ICVAOCAlQDggJUA4ICVAOCAlQDggJUA4ICVAOCAlQDggJUA4ICVAOCAlQDggJUA4ICVEO5oDfadV1h6zoAtoRyQScfR61sXQfAllAuaLrmfoSt6wDYElsK6n4NaeYH1Wh1iJm3q+ZQ1XUpU5/qDg4Ow17G7A3/R7yQJB6B+ZYBysTGgn7Q/k7+Ma+djKApCF0oeRuVyHgl5NAnGolCMATVjaKqI+5HsysL2AbbCvqHUzrzesQ3Xyco8vqVK+jQzr0ii7zVpOh/Xr7DEFQ3iuqNZkHz0eO+5CoPWAfbCrpKtzPXut5hBdX+XOPFS0G3uf2m9j1UELrMu+aE/FM9GsawP9o5Pt4f694hnYy6lR12IxRyTD//qqC6UVQn/ISavxh72WrbRg84DSkO8TFF39m2wWRbQSfG6maaH0F2js5VS3xnSN0iZtnaC+MT3tYaIo8GPcrou/BUhWuI/TnYIDW73UZ2DrHp069MiEI3fTT6eTalqhIseWwIO4LVjeaN5v39oS220tZgNKResiOQnYKgetyvLRmhm/G5yqYu/ytP9DJ1OWhqzbMFkdNUoaGBfU61QYj9+WQJQlsHsXOITZ9+5XOn3LmzDIGclBqG+UVRDy2+SRQi0ZB62WJiSb3OTkFQPe7XTntmM6/nXdS61GnsU4umblafwtm42Qjlq0+FM4IyPxOZndT2KHYOsenTr0TdDjW4ZQjkF/TEDO3k+m3uWXyzKEO0IaVrJ+maRekRLqpvmfSqR7k3fC/mINNaj4nXTnBx7JOTFKFfZxtsfBTft+d/2rP+G/U7H+RxrYigWZ5fF0aeD3iq7rmqQND9wek5HdYXCqpfib4JbVMQyLOLZ/6DItIftEc7Z1tzC2lAtCHFtpP0zaLPe2lODmLSu7Zt1tMAg6BXQ7PUjY8lRejX2QYbC6qeGeDUbA8yCBq6HJVwdHZ2bsqundd3zMvQ1X7uwwv/gmpn+fqMyysUVL8SZZTfUBDI+xd02xcITWoU+q8VNowqRBtSbDtJ3yy65DH5mJZJbz+mqfo/g6Ao5dBnDgeTIvTrbAO1V5KeOvzV48pqW9eiGCDakGJ/yw1NpOfrurfQngrvvwuhBTpBR8afrrPwVAQjqH6dbapPraATBqFtFbfbuhbFANGGFCuovlkUO0H7tOKzU+Hr2menBcUk1VU/9Y6fOxo9VO1LitCvs031qRX0hZr5Zbd1JYoDog0pXTtJ1yy628xVtZw9SBrp1Wjuopxov7BZ2283qttlQUhShH6dbaBWUABgAUEBqgFBAaoBQQGqAUEBqpEU9OzUIdFTLPj0PwAQQ0rQBf4z16+fHbjIKpUBAC5SgnqnsdOsQM7iazGvM/8R/2+4ZutNsili+ZQStJau909yfc7idU3mvb74H+JJlDwgn0JICZroHDVlSrTbVm5C35f5P6JkOlpAUMinAJIHSckJsXPWJ3OXFib0+Jer15/PP5BwxdzaKRAQlCzyBOU/ijckVNMzyLl0BXunVkPcF5hfQaUBgpJFlqACR/GGhO4KdCnh4hJYqlvnKY4PEcr96Xsb9XmxKiAoWWQJyj2Kz/SoxmLnqXs3onJ9pyolq5Rs8X0/h4PogUvVqpUOy64v9YCgZJElqNFRfNozlr61dW/6+rUL0VS3L1ku8MPSX6Omzod+bWovt7r0A4KSRZagAkfxAwN0L3OdWrzhZl+pZL+PVeUq1S09+iHKKFl4T8XdtQfzzasx5YCgZLHEUbxB0CsuExqWKVW2Tty4ZU7JF8o2cKzZu+QZQ8jMN8qVcnpuVo0pBwQlizxB+TEIivbXLRO09lk/j9ZO2xDqXmH+7CoVVI4RC3/JRc9KrUbP3DqZVzzdyBFUs/+ANmHISjVnMQgqhExBDdw8nspM098qX8n3b/QgcXRwxZbhdv8hNNvRvOLpRo6go+t27Bm0ovsozmIQVAgpQeup9HAWcwQt4PEdw0zG0Q9KVvPuH+yRi1VFZSFHUOc09Rvn0XOPwgWZuoPOZSCoAFKCpgTFP2DhLBYQtAhaV9dRTUt6VWw25uvrvAH5f9+y1b3WMpEl6DM0DyG1d8H7TFf9aTsXEhVTKBS4hOMAACAASURBVPJ28Yt5h9SUFhQlt6/qsQ69+HlRH1X1jtP2cMdFuhHkp2phdPClCOQIOq7eCYSSQodwFmPks/hihTaoBMn7Z3R2cus2+7si/apCVyHtp/3N+3YbI0dQ7f5LCG1dwz1IAkGFsIqgOu7tnPxOdfeuM/fpxvTOrfhl157rlbljs8BpJhBUCOsJquP2zikdnRw7xGz9q0Kjvdu83c0rxcaAoGShSVAd/+yf09O3RKXwkR5uMkqxHSAoWagTlCW3/Dh/D6+S/u/G7rnNczCfs//ruzK/wXKAoGShUlDU8kuEZve+kjg53LNy8+Erk54UXZlc++3eTolyv8JSgKBkoVPQa/4NAkL0556e//z5h62qur4zPv5Umn7lRyEVq9Wryj3UpQUQlCx0CorUv/3xyuh19w8tHPJmJa+OH395KtW7WRpaZ0frbSQgKFkoFZQX7e3vFwx+s3IprzFr9pT6wzLfIRsQlCxKEtRA04rtWlQsWaX50Pl7/qZvRw+CkkWBgm6rOXhwWMcnJ+IndqlVzr/bxHXHyI+VYD4gKFkscVenpRO6sXGtkYb773Kv7Iob2qJGlcb9Z245S8U9eSAoWSxxV6f1E/r09FfT+gbb12g2MPYbG3sKgpKF6F2dBmyW0J+D7F3bB9s7NBkwfeMJGz1SBgQlC9m7OvXYKqEp5b2H+pW9hZJ//WpmVHOnCkER41d+fy3HupUAQcliwbs6rc7k6vlI6xFd8Db90u5FH3X0t3NvFT1z4/H7QjeRftf5rTlZ5CohR9DMGZG7mJcozmIQVAiT7+p85b54q9MniJm0acNZqrl/bMOMga3c7Wq2f2/O5pP/cB5fs79GTQ/fd8lVQo6gUWHxwewDiziLQVAhpATV7Nyt3dRr5ouC95luulsUytrobrj1ZS6jW+XnCKzNuf7D2k8HtHC1q9Vu6KxNSbcNp1AbeZ28PrQMuTug5d2ThB57P3wpaGaAL0tlZxIVUyiyBB0d0rJbp90DablFQRtcpnIZP6lz9zl//xg/fWBrbzv3lv0mrdxXmRE6v/RvxCohR1DvJwgldNO+/Av64BZLd38C9VIqsgR1yci1/wulcTtu2myXpNkxYUsebnD+/RNb4kZ0KfNGxboNS43fcPjaC+nPYCBH0MUOU5G2f/vSnMWwixdCSlD3lHS7cyjZg7NYUQmd4+LoU8Vp+qC2tctXr9/lwzkbf5Jnqqyj+It7mV+cnWM5S2Xl8/6gumEnZXze1sg7Ue/i+XFIXOsYzmJFCZr3UQX7pn/pZlMu7f98anTb2hWqBnYcMuOL/Rcf4RaSv3vJEcMsZaeZsgJir3zj8ie5ylgbeUfxFy6j45M2cR/rqihBEco1uvT07I8D62cND2/gVFbVsvfYBZuTrmXwffBlCa3ajA8aqp+nTNAj7EmN2CnE6kIa7Txf58EpIgEK7CxiRXLunNy2bGJUaEDFigGhkROWbDnOq+r6rkxowGndPGWCftudmazkDqZDDyubXf1vVJhIAAiKR8a1pM2Lxg9oXbtSRb+3+o6N23jw8qPC26UmLGYm732pm6dM0EcuZ9CjoP3kKkOYVj8zx7bVRM7ygaCmkvn3z1uXTR7UKci5jGujzoOnLt96fHbTwPLNa+oPRSgTFH3n7lXlM2JVIU4zZr+jrSGyjwdBzSfv4YXvEj4b07e1qkQpX//y+izTJijS3LNybwSTiOuQop71lkgACEqAWdPjJ+95d7tunjpB6SZ/gn3FztzR54oCghJgxmxm0nebbh4ENRGt+CCcICgBznuczd/rqu80A4KSBQQlwXa/N0J+0c+CoGSRFLTgobMmPHP7dUxo4SknBQmq/v7rOwSK0f55zoKHYZKCxsfHv1cnbn69/+GX+ToKWohyBH1St02k01fyi2nuF+JNrjcYF5xdfMNnCKU2wi8TBCWLhfI5fiJC16tnyy1m2EQt2sm9LY0cOIK6ZSGUrcIvEwQli4Xy2eYYM2lwSW4xAWxPG4cnknFmgiPoiLY7d7UfjV8mCCpCRAH4RVoon0OWIfRc7CojHq1/ZIqxt9gQLziCqtf267/OhBqAoCIkFcCzjvtYnxdd27O4WmYo32tOMcsbTpJdzC7vzXtbTSRQH35wBM1f2Ee9irenum1GFqEajF18zrGDB/eF8KzgPtZHe+wwS/taRYN2j55xj/O5xGCP/mJXYwS4P3PMXtM/ZcSh3t3WWe65qziCju8bmN/zA5711IwsQhEYgg5t7BDhtZBvDcZjfcaHrIhxuvbK+kO+xx/MaFQ8n82LJahvRihSc+/rYKFtZBEawBC0pvqz0/90xS+yaD6fVmdyvnQIQg827yq4NSV6IzOp97tJ1VQMOIJ6JYeiJ3x3FlI2sggVYAjqnHVwEaqLX2TRfF5kT/cltUF7nKLCVYaR+vtsz09HTc7wflbx4Ai6tL5qVsDnPOspG1mECjAEHReaEjA6GL/IovnMcrjB7OY/1rpcRGjhAP2yr9wqVVa50dypTgZY1+KPTIvjv1TAHVnkF55G/WsGhqDaq+j03Dv4Rb7yC/+VU+RbQc8esgf2V+voF23yqFTJ1/U1FjSJe1dcAer1GWlTIuIKU/Oik/60iCu5+ikODEHjWbbjF/nqHunu14fyUH6VfxD6uot+SZ/tmszXehcf4jPrNu/6ge2y3u25OXw4dzHs4kWJiYkZ6T0bv0i+fC72W/ip01n9fPQGZhJ4Gb9AJYG1i78xt0GbjTzrnbORYwZKV/TADaTBvNT5pDN+kbz5PDJx5i3D7A8+R+9NDbHZaaZNoW/Gyr6iLwhef9DcQ6HledY3+h0F30HJ3PyBoNKo/fCLlMzntsZeA7lPNLca6+v9eKbrMIsVjyPo7iinbt/w3Q9+2qt31zoj/TZwFoOg4vRlqBMtGVYIXz7z1nTr+5MJ1bIczX9mDj4qW+wQDUfQDglCPQqydy+cvtqofQqCinOQIcmE/1G+fI5ps3ej1z4T6mUx6l5BSFvdYg8GwBA0hTv2khQgqAhk7lDIqZyO0HftTKybRRg7VI0+b2Kx4jEEzW94TSSGBxBUBDJ3KDxyYSZ/1DOtakbc/o3AwU1Gt+qejf6WX44AOLv47hXbhIeH45cJgopD4g4Fv31IO3aECfUyJrube7B7kqwi9Dzh9q4iCY6gp3TglwmCimP+HQrfd2g8MVU3d8brTb9W8jobz+6Xh466YQ/4ayPk9QflBwQVR/gOBYn+tYe9vj03pKN+PuvMFS030DTasUOa1qP1obwFyOoPKgAIKo7gHQpS/Wv7bUZI40lqh9pvE0K5TtiD9NoIWf1BBQBBxQi8Hq6DZxW3f23ONN0Bf2AVZnIYob98ezOv9X//K8bwXt7rcafwfn4B8sux7GtjOf1BBQBBxdiRKtim5/avzVs2jyXYgZmcRuheeO058xZ55d2bZ3iP9Xp65Zf/41+/vX6tsM+wy7HRazM5/UEFAEEl0fKe2JbqX5v3XlXfWiYcrbJ87DfqreaWu1RuceT1B+UHBBVn9yBti4or+NZw+9fqKZLP57eFuj4KcEWVgdC7K037EE1gDh7G/xsvAAgqjtfJpO5PfPCLLMznzYP3Ta3Otj7MZB23Q6SCwOosIvgbzw8IKo6LJmad1oR73QvyOca9k7MJ3Uh1XPDPReg93ltIlQHWTXPm/sa/jmAI2rWXZ+r4FvhFGvJ5sOELdM7thIn1GdAirn/tNBM/RBE4gpr7G/9agiFo2ueXUKwJZzMN+Zw5K7uLl4v9mD4fmHKHsXbn5DWZJsTTBo6gwr/xMLKIERiCmnllbm3UnH55HYPLfrPYySjlxRccQQV/42FkEWMwBDXzytxzH+8Zw+vWaHCBUdXc2ikPHEGff9L0rVi+J6zCyCLGYAhq7pW55HrBsScbuDxER9uaWTkFgiNor/5nzw0YxLMeRhYxBuc0k7lX5k65rN1j9w7SDp1mXt2UCNYAtkx7KU/Fsx5GFjEGQ1Dzr8ydieo8xLF9QKiSj3pMBEfQ1g8RetCML4Bz5SN/w1qWZiackip24FzqlHVl7tmPF2T2s1MUOE/56Oc8fLjjp0JBRR5Vmz1qOIufCe2rYoekoLd/zUIo9dpy/CJhjyQEK+gaA4k86yNZKkRGchZDQkVYWtLL8XtPe4/W+EVCPoUw3DR3+8hV/gHAF9jHJSbWSOS6CwkVwfUCOlZis0ldPiCfQugE3eHj2tzbZRNvwNnGiUhltBQSKkJVhLRVBYap4Y5RbwDyKQQr6AHVUWZ6zp9/NPP06MEuRgshoSI4MD/OAuu4Y9QbKN75vHNF9KKapKAtftbNnmkuELPF+HkqxTuhEkgJWi0lJcWR+UnhW8kZo16zSX9WxJdY7agjo6NHnZpipzQkBa2h3x1phH7reQBBRbArAKOs7JHF/qzI+Pfz0Y7aIgGSggbqB0L/18wx1V875D5p7obxouKcz+ALzMRNZGg+SUHj3klnptk9ZA64+togV1Ce5ycV53y+8z1CL+z5OnoYkBRUM9xpWOwIz77wpDk8QFCT+NZn+5FO74sEYJwHvbxq4pLTpnxpcU6oJHIFXWu8qFjn87tubRfliqzHvGnOJIp1QqWw5NOOn/6WSrxw2gFBCWNBQWMdgh1WES+dckBQwlhO0GO1n6AHHrQP9kUaEJQwlhN09kxmMsKEfqTFAhCUMJYTdDX7KI0IEx4AViwAQQljOUGT3ef9PLVWOvHi6QYEJYwFD5JuDXtrtM0eh2QrQFDCWPI00+sICEoYEJQs8gSFkUWMkCNo5ozIXcwLd1gGyKcQUoLCyCLGyBE0Kiw+eCNC3J54kE8hpASFkUWMkSOocxp67P0QBC2KLEFhZBFj5Ajq/QShhG5aELQIsgSFkUWMkSPoYoepSNu/fenCBb+fZ+lswqO7ix3yDpI4I4vkTNU/NsWTRM0Uiqyj+It7EcrfObbg7YtWISwOrgTqpVRkCco96sxbqX9sijeRqikTuOWDLLIEhaNOY6BHPVlkCQpHncaAoGSRd5oJjjqNgFs+yCJLUKOjTj2QULJAPoWQPIrnHHUagISSBfIpBHQWMR3lC3ry3dAZGVb9RjFAUMIoXtDTrhuODQijZhBnEJQwihd06BdMs01105pfKQYIShjFC9qNHWizqUkjdVgSEJQwihd0SZccdMI1y5pfKQYIShjFC5oX6Rzkftia3ygKCEoYxQuK5lWza3nVqt8oBghKGDmCavYf0CYMWckdSNC6+dwSfC/vC38TnnVrWUBQwsgRdHTdjj2DVnQfxVls3Xz2ZoeGaHjRml8pBghKGHm3fKjfOI+ec0f8tm4++3/DTAKpGQIKBCWMLEGfoXkIqbndaa2bz28DLjz7XwOBB+VYHxCUMHIEHVfvBEJJoUMKF6Q/Y+kr9pAB8qzzr9bjrlW/UQwQlDByBNXuv4TQ1jWFB0mZbtVY7NxJVEyhgKCEscAtH+vExnAv7oCghLFAj3oQVAgQ1HRAULKAoISxwC0fIKgQMHiY6VjgUicIKgQMHmY6IChZiA4e9qJzexZXNxI1UyggKFmIDh6mPX6YZWR3EjVTKCAoWSwxeBgklCyQTyFMHTzMACSULJBPIcw8zQQJJQvkUwhzBW0Qo2dSzWZY+GBFNaU5rI5hk2N8LCCoKfms20AypAlGMf6NJENC/KSLqdVYMqTRWzFiiObTTEHvzTMwp3QYDu9ghr2BFdYeM6wMVlg7zDC7gm2e/8y8pJHKp1egZEjrCtLFOAVLhjSpLl1MlRaSIQ385okhmk8zBS3kRQWssIxKWGHplbHCUqtghT2rhhX2xAEr7LEjVphMcPL5kfTDPG/Uki5Gd/OxOMdCpYtpbHQVx4gtA6SLEQIEBUGFAUE5gKAgKAcQFAQVBgTlAIKCoBzkCppTFSssC8+VF9WxwjJrYIWlO2GFpbpghT2zyoM4cPI5Ol4y5A5GZ56eByRDTraTLqaZ9O3L26OlixFCrqDoKYQRBeNbMnKJFPNc+rZOLcYJNYxvykuTjhFCtqAAYElAUIBqQFCAakBQgGpAUIBqQFCAakBQgGpAUIBqZAq6zd9noVTMEm+X6EycyPmRGAWeDnaOzpMOW+DuOlojFZZSDxV8o1ikLgx7K2QhWT5WNaQTiZFF6QxipE9+6uQJmux0N9Vf4lrsxeopqWEzMSLP2UdKF5jtdSm7XYJk2EWXlIyQnRJhS4JUBZsgFqkLw94KWUhvF041pBOJkUXpDGKkj0Dq5AmaEIXQzKniMXuZ9fGR0pHpjeMipQvc3RuhrEzJsN8903Nb7pII+zFeVbAJYpG6MNytkIdk+TjVwEgkRhalM4iRPgKpkyfonCkIrR8iGfY4eJd0ZHRiYqR0gQu7hTj1TpMubUI5+25aqbAHqoJNEI1kw3C3Qh445UtWAyOROFmUziBG+uSnTp6gsey3SnVV0W7w3iAduWUwYvIqGTYj4HZGz6mSYcdDzl7r+JVUGJs+fYxopC7LeFshE+nypauBk0iMLGJkECN98lMnT1D2G2d/Kh6TH9n1IUZkhIuqRoUwybDVIxHaHCEZNimW2Y/1kgpj06ePEY1kwzC3QiaS5WNUAyeRGFnEyCBG+uSnTp6gj9ySswIlWr672mkxI5lffMmw2/630sPjJMM2NXycNnCmVBibPn2MaCQbhr8VcpAsH68akonEyCJGBjHSJz91Mk8zJQYFSp07GFfazs4uCieSyat0WIK32/s5kmGaSW6ug19Ihel2QPoYsUg2DH8rZCFVPl41pBMpnUWMDGKkT37q4EQ9QDUgKEA1IChANSAoQDUgKEA1IChANSAoQDUgKEA1IChANSAoQDUgKEA1IChANSAoQDUgKEA1IChANSAoQDUgKEA1IChANSAoQDUgKEA1IChANSAoQDXUCnqjXdcVtq4DYHuoFXTycdTK1nUAbI/VBc0rUb2608A05purOzg4LEKa+UE1WrFPtC9d3aFyq+uFcema+xHiJSXxrOdbBigZGwiajdI+6MR8c4bu/Qft7+Qf89rJCJqBnkd2eRm4N/wf8ZIwBNWNn4oM46tqx7u4jtXoF8T9aG79AetiE0FRjtMVg6B/OKUz0yO++ayg6KBPYdyhTzRFP6ZJ0f+8fIchqG78VFQwyur+ek9T6+6/0SxoPnrcl9j2AJbFNoKiiESDoKuGsVOt6x1W0PSBYcybbW6/qX0PDe3cK5Jdtcy75oT8Uz0axrA/2jk+3h/r3iGdjLqVHXYjFHJMP/+qoLrxU1HBKKuXTiB1pwMTfkLNX4y9bMUttiW4DSou8TFF39my4WQjQYct1aXMB02M1S1tfgSVdnSu0PgvZn7thfEJb2sN4UeDHmX0XXiqwjXE/hxskJrdbiM7h9i06Vcy+t300ejndalUlWDJQ4XjpxYMnjqvTA/tjeaN5v39obW32lZgN6gK2RHITl97QSO+MaRsyQjdUp+rul28jhw0tebZgvBpqtDQwD6n2iDE/nyyBKGtg9g5xKZNv/K5U+7cWYZATioNghYOnno+KIF9H/XQkltIEzgNqpctJ5ZU3Z/V113QXOc/DSk77cn6et5F/VJQhGb1KZyNm41QvvpUOCMo8zNxKULbo9g5xKZNvxJ1O9TgliGQX1D94KlbkxBawQ5CfWKGdnL9NvcsupmUIN2g0rWXdM2j9AgX1bdMmtWj3Bu+F3OQaabHxGsnuDj2yUmK0K+zBTYRNHNkh8KdTt+e/2nP+m9ERQTN8vy6MPx8wFN1z1UFgu4PTs/psL5QUP1K9E1om4JAnl285ppaP3jqmlD18+4rmP+fiPQH7dHO2dbcalsh3aBi20v65tHnvTQnBzFpXts262mAQdCroVnqxseSIvTrbIENBHVych6QWiioemaAU7M9qKig8/qOeRm/2s99eOFfUO0sX59xeYWC6leijPIbCgJ5/oJml7ijHzxVPcTbbaSaOQj7AqFJjUL/tfCGUoF0g4ptL+mbR5c8Jh/TMmnuxzRR/2cQFKUc+szhYFKEfp0toPBK0lOHv3pcWW3rWhQPpBtU7G+7oan0fF33FtpT4f13IbRAJ+jI+NN1Fp6KYATVr7PFFlAo6IRBaFvF7bauRfFAukHFCqpvHsVO0D6t+OxU+Lr22WlBMUl11U+94+eORg9V+5Ii9OtssQUUCvqC2Q1rpMMADKQbVLr2kq55dLeZq2o5e5A00qvR3EU50X5hs7bfblS3y4KQpAj9OltAoaAA8BIQFKAaEBSgGhAUoBoQFKAaSUHPTh0SPcWCT/8DADGkBF3gP3P9+tmBi6xSGQDgIiWodxo7zQq0QlUAwBgpQWvpOv0k1+cs3l7iNabkKeL/DZBPIaQETXSOmjIl2m0rZ/G692X+jyiZjoeIFwn5FELyICk5IXbO+mTu0pcJTWf+IW0GN6A4A4KSRZ6g/EfxBQnd7FyuVBm3oVUqBZ0xu36KAwQliyxBBY7iDQm94BpWyrGCQ6l5Sxd4ZDLvc1/IqKdiAEHJIktQ7lF8ztjhLCFv6t5Nr1KztGs5v5L+43xUx1B2rzJlgu/Lri/1gKBkkSUo9yg+P2EtSzNv3bvedZq3+6ly2RKOYzaU2Ysi7WLmVfOXXV/qkSOoZv8BbcKQlWrOYhBUCDOP4gcG6F7GVHrXbmyFGiU+mhJQ0iXabpIG3SqZVhCTfbGY/jWVI+jouh17Bq3oPoqzGAQVwsyjeIOgP9Rs+UaZknaOb7q/6/zDutKuVTvPKPmXIeTrcqVLB3P/UhQL5AjqnKZ+4zx67lG4IO0Zy9IhBOqlVOQJyo9BUDTBtV3ltzf6RsbWH4NQA9XhNT6lKjX4cBMj6YsyH6SeqxxlXvF0I0vQZ2geQmrvgveZbtVY7JxJVEyhWFJQdPfHhwilr5n+AzN/o2rlShV2qc8s769y6Nyv7DOEPnUxr3i6kSPouHonEEoK5f7BLMzn64gsQeup9HAW8yc0Y8fXhjE7/tvTv6S9/8BWLjm4tVQQcgTV7r+E0NY13KYPCCqElKApQfEPWDiLpROaXzk4/t1SrhUaf5RwOZ8vIO/iHwq9Nc4Cp5lAUCEkd/GLeUfSxEjoJd9S5Uai7F9XDAyo1HLs5qscS6/VblA7RJljJIGgZLFoG1SMQiXTkhb186vUcszGy3mFK1t+idCs3uZ9u40BQcliM0Ff5fnRhf1rV2zywRdnsph3uRWmNwiercxjVxCULJQIqiPj5MqhweXrDlhwuFz7i6frK/MgHwQlC02C6lBf3DC2TckywRGONfKko+kDBCULdYKyqCvNa1y38RvlG0Uv/IHnUOnvScN32GY0NQxAULJQKSjqPEOj/uD9F+fWj2vnVL3NyC9OPC+y8oLjgPeCJsr9CksBgpKFTkEfvl3Nvkeqfj75p2XDmtm7dxgff0q/pKdL2wGOFWjtpg+CkoVOQRF6lv7q+7sHFwx+s5Jnh7Frf3aKRuhqaVofxQGCkoVWQXnR3jm4aFiLUnahH0wsdYjSK00gKFkUJaie3q6BjcqX9irfoM+0r8+mWvSrzAAEJYsCBf3DacDQOtPQiwuJM/o1quTcetj8b6/Q0+0EBCWLJe7qtHRC70wf+13hmwdHvpjQpXY573c+WrLvGgWegqBkscRdnTZIaN7NgyvHhPmVrR48fMGuS+nSH7AYcgTNnBG5i3nhduQGQYUwc2wmmyW0Q9lSb3hP6B5UwalZ5PQNx+/b4jhKjqBRYfHBGxGy4ywGQYUwc2wmWyV06xs/oTNllzBz/53cNHNgKzc7/44fzt929rHop15s//IWwUrIuycJPfZ++FLQnGkxLIGeJCqmUCx4V6fV6c/+KX+r7csF2de+XzWxV4hDxcAuoxZsO/0f34f+8arTsNrXfGvMQ46g3k8QSuimLRQ0b/k8lmBvsQ8Vc4je1ZkV2ZtF5U6iZqYz3kmLUM1+xivSLu9bPuHdN53KBXQYFrsp6WbRY6l3K42O9apArl+KHEEXO0xF2v7tS3MWwy5eCClBNTt3azf1mlk4pI1273aW1r5k6mYqD8o2mtuyzB/CAVlXDq6dNjDUp6xr017jlu749Z98hBw+QejfUiIfMhFZR/EX9yKUv3MsZ6k8QbP/tMkztkghS9DRIS27ddo9kJq7EE/62/ni+KF5eGr7krG9mrqV9WxZ9s2l2/aVukCsDrSdZtrhHFgtRjqMWmQJ6pKRa/8XSnPjLFbOLkl972QTu0ZB5UqWdQnu+lFswoE/UqQ/JA5lgj50/gM9D9lFrjLWRpag7inpdudQsgdnsXIEZXjgHtio+ibtv+f3rp4+uFM9BzvvFr1Gz9146A+jAVPE+GPfHcMcZYLu7slMVo8kVherI+9EvYvnxyFxrbl7EEUJijK/WXO9yNvs2yd3Lv90UMd6jmU9mnR9f8aqb3+5JTVupDbap6vLXP08ZYImtWQm06cTq4vVkXcUf+EyOj5pE/d8uLIEFST3wel9a2eP6N7Ct0LFWi17jJi1+tsTf6XxRW5vmYueeP6pm6dM0JwGn5xa63JdOpBWFNhZxAZkXD+5e/VMxlW/SnYewWHRHy/Y8N2Zu5kFqyeyF3uHJOjmKRMUJY9u1vcisapYgMe3RC/4gaAmknX/7HcbFnwc3bmxZ/kKXiFhA8d9tnZo0zpV2jTQD2JBm6CU86KHg09dsZN8IKgMMu+e+X7T4invvVXSPrBF2Ue6ZSCoSUwaqEab6okEgKAEmP3x1P4Luu/Qzb9+gmbu2mL+KEUhvzETV96L0HpAUAJMn8NM+um7JChI0Kwda/+SjpLilleX/o7fm/vpdj8glF0lUzgABCXAWc+L2gMuStvFJ9cMH+66TnYxvZchdIZ7Khybrf7fn+4RLRIgKWiMAROeGPvaCYq2qMo2OK6fVY6go6cidLea7GcD+bHnsJzEuzSKsK1dk9gskfWSgsbHx79XJ25+vf/hf+frJyhChYPOKkfQNseYSUPZp6A6bEfoXjWL9Q3HL2ICwwAADtlJREFU2cU3fIZQaiP8Ml9HQQtRjqDvLUToSVXeKw+m8IvTtIU1V5KoEC84groxf4KzVfhlgqBksVA+b7qMjKszS345f0+beEx+KULgCDqi7c5d7UfjlwmCihBRAM86ozH/M3WPoelroXw+WjD5iGVKJgiOoOq1/fqvM+GhRiCoCEkF8Kzjjvmf6ap7DE1ZR7JVVBQ4guYv7KNeZcJNESCoODnHDh7cF8K3BmfM/3uJPyhy4FQzwRF0fN/A/J4f8AXYZuAGqsEQdGhjhwivhfhFvpLPr5z7t6zPuYnjz+HdF1MwZoVFwBHUNyMUqflOxdIzcAM9YAhaU/3Z6X+64hdZNJ9ZDtcRGvfxK+svOy3+tlt3/PIUBY6gXsmh6Anfg4ppG7iBBjAEdc46uAjVxS+yaD4vsqf7kt5G6NK8VQV9/j9cilCe6qZJ1VQMOIIura+aFfA5z3rKBm6gAgxBx4WmBIwOxi+yaD6fVmf+KCwbgtZ7xLznrO8ijbrvYSZvnTCtnkoB61r8kWlxv/Gtp2zgBirAEFR7FZ2eewe/yFfyOb7xqslO1zTVmT+Y63roFy0I7dJ8sKPsM+7m8kOfiLW8jwskAo6gSYLXsTgDN7zo1J7F1ZVU7RQIhqDxLNvxi3xFUO3OEdPvoYfs2BhX6+gXHS/nFFw+0FaPldjlvXlPK8s9MgBH0BCfWbd516vXZ6RNiYh7eQD5y2GW9rUIVlBpYAgaExMz0ns2fpE8eySNw98Iremlf/PeF1eOPfO7hl8gUVr/iNCzyhY784W1i78xt0GbjTzrB7bLerfn5vDh3MWwi5fkSWf8Ivnyuclt/CAXg5M92dveW/yCXyBRarN9Sh2eWKp4vP6guYdCy/Osd85GjhkoXdH3xZMGU1C1H36RvPm8snhtgRSrOmSiY66y+82ZybBPtGiXCeckTARH0N1RTt2+4XvsS6PfUfAdlMzNHwgqTl+GOmKddDlI5VMzrFodT5tdVX/StPab3uctVjyOoB0SnvOvP+3Vu2udkX4bOItBUHEOMiSZcOWHL5+aTX2GvtypP7lqQlcJ0mgvn7HgZSwMQVOEx57K3r1w+mqjAygQVARCdyh80nzrajeZPfs2NPQaYtIAP7YAQ9D8hiYeIIKgIpC5QyG3MrNT2/OOiXV7lR0Bv9wb31pWEVYAZxffvWKb8PBw/DJBUHEI3KHwH3uq+U/uNWbT6L6b2T173ZNVhuXBEfSUDvwyQVBxzL9DIalH65n6W3R9DjOthfdNrl1ROrE1rU3gxmOLAv1BCYMhqPAdChLdF4+7f328Xzfd7M9ub9cPkTeY6ao2T9G6AEqfKFmIvP6g/ICg4gjeoSDVfTFyA0J5bvoO9xlHzsp0S/NJpUrNr8orw/LI6g8qAAgqRuD1cB08q7jdF3Nn6B9DU5WZHEXoum8f5rXhpesxhvdyXyeNJ1OOJV/flNMfVAAQVIwdqYJtem73RfUS/WNoqjOTXxG6Exb42bwV7uo78wzv8V4f3zQtnq7XpnL6gwoAgkqi5X3yhlT3RXU/53pex02rz2GVYxUTzrlSh6z+oAKAoOLsHqRtUXEF3xpO90UDRfL58I9c06rz2OVn9CDgoGkfognMwcP4f+MFAEHF8TqZ1P2JD36Rhfn8ZZMpfyd07GXvv18xxtSP0QNWZxHB33h+QFBxXDQx67TcZ/eIYMintm/daF9Tn9dxmH0y5NzJJn6KIrBumjP3N/51BEPQrr08U8e3wC/SkM9vW+ShrICTplXnhd+CW9+6/m7ah2gCR1Azf+NfTzAETfv8Eoo14RKjIZ8zYtEch9L+Jj6x41Zf37ePmvYRqsARVPg3HgZuMAJDUDOvzCX0TGhyr1W/SnYu88ytnALBEVTwNx4GbjAGQ1Azr8y9qOfxQY9WQU6/3wzZYGblFAiOoM8/afpWLN8dBTBwgzEYgpp7ZS6zftgXV/z9rqP9XcysnALBEbRX/7PnBgziWQ8DNxiDc5rJ3CtzW+v9fr56Yy3aZ8K4OUoHawDbPHZoFZ71MHCDMRiCmn9lbrVftaqTMq822mxW1RQJjqCtHyL0oBlfAOfKR2YdX5bKziRrqDBwLnXKuTJ3t2tF1VJTK6VgcJ7y0c95+HDHT4WCworM37/F0t2E3VexQ1LQ279mIZR6bTl+kbBHEoIVdI2BRJ71kSwVIiM5iyGhIiwt6eX4vae9hwk3A0E+hTDcNHf7iMBdrQvs4xITayRy3YWEiuB6AR0rsdmkvsaQTyF0gu7wcW3u7bKJN+Bs40SkMloKCRWhKkLaqgKDwRk9REEP5FMIVtADKvZC2Tn/vbwR6dGDXYwWQkJFcGB+hA4iuQ9RMAD5FIIVtMXPutkzzQVithg/TwUSKkK1lJQUR+aH94Y3nIcovGZIClpDvzvSmHDqCBIqgl0BGGVlViqhAx5DIwAraOBd3ey/Zo6p/toh90lzN4wXQT6FYAWNeyedmWb3kDfg6uuDXEF5np8E+RSCFVQz3GlY7AjPvvCkOTxAUNN4tn6F6L35GOdBL6+auOS0Kd9ZrBMqhVxB1xovKs75vOEaNdr1K5EAzJvmTKI4J1QS5TztmAr6rUDo7+oi1y1AUMJYUNATrV07XCBeum2pf5mZiA2xB4ISxnKC3nTe/e8mN+pHnDWNd79A6I7QlTUWEJQwlhN0yThmEinWXlMgV5w/nOLJ0+4uBAQljOUE/d8UZvJ+PPHibcujZXNF+8aCoISxnKAXPf5Ep13uEC+ebkBQwljwIGmLS2Xv74iXTjkgKGEsepqJ72FVxRx5gsLADUbAeVCyyBIUBm4wBgQliyxBYeAGY+QImjkjkn0ubBRnMeRTCClBYeAGY+QIGhUWH7wRIW5XUcinEFKCwsANxsgR1DkNPfZ+CIIWRd5BEnfgBrdqLGWhB7h5eD9BKKGbFgQtgixBjdpMGc9Y+kJCzWOxw1Sk7d++dMF79WL9Uz5UBOqlVGQJCm0mY2QdxV/ci1D+zrEFb3Nn6Z+T5EWgXkpFlqDQZjIG7kkii7zTTNBmMgJu+SCLLEG5bSYDkFAZgKCvIu8ontNmMgAJlYHt70k62qV5TKpVv1EM6CxCGMVf6jzhvvXXIe211vxKMUBQwihe0MHxCGl8eI7VbAMIShjFCxqxh5k0OWPNrxQDBCWM4gVd0fEF+skt25pfKQYIShjFC5r/XvUA1TFrfqMoIChhFC8o+rJWte53rfqNYoCghFG8oHsCfkv5rIHInerWBQQljOIF7f8NMwn8w5pfKQYIShjFC9p7BzNpeNGaXykGCEoYxQu6Jfhe/lp/Ex7GbFlAUMLIEVSz/4A2YchK7lCsVs5nnEP51qJDdloVEJQwcgQdXbdjz6AV3UdxFls9n7lW/j4xQFDCyLsnSf3GefSc+6RuyKcQIKjpyBL0GZqHkNqbsxjyKQQIajpyBB1X7wRCSaFDCt5nVtE/hsb4WWmvDzD0DWHkCKrdfwmhrWu4B0nr3pdVI2UDQ98QxgL3JIGgQpg89A3cdmyJWz5AUCFMHfom01U3cIOdO4maKRQQlCyWGPoGEioDnnuSIJ9CmDr0jQFIKFkgn0KYeZoJEkoWyKcQ5goa/czAw9uvC48KNrmtBQQt3vl8+kwM0XyaKei31QooURKLYhBWsnCbz5qXNJL5JLBNON9EqJjS1UQRy6eZghbyogJWWEYlrLD0ylhhqVWwwp5Vwwp74oAV9tgqI07i5POjzyVDbtSSLqbbXsmQY6HSxTQ2uopjxJYB0sUIAYKCoMKAoBxAUBCUAwgKggoDgnIAQUFQDiAoCCpMMRBU8wlWWP4kkmF5MVhh6slYYbmfkgyTCU4+t5+WDEmfJV3MF9clQx4slS5mvvTj7S9vlC5GCLmCAoBFAUEBqgFBAaoBQQGqAUEBqgFBAaoBQQGqAUEBqgFBAaqRKeg2f5+FUjFLvF2iM3Ei50diFHg62Dk6TzpsgbvraI1UWEo9VPCNYpG6MOytkIVk+VjVkE4kRhalM4iRPvmpkydostPdVH+Ja7EXq6ekhs3EiDxnHyldYLbXpex2CZJhF11SMkJ2SoQtCVIVbIJYpC4MeytkIb1dONWQTiRGFqUziJE+AqmTJ2hCFEIzp4rH7GXWx0dKR6Y3jouULnB3b4SyMiXDfvdMz225SyLsx3hVwSaIRerCcLdCHpLl41QDI5EYWZTOIEb6CKROnqBzpiC0fohk2OPgXdKR0YmJkdIFLuwW4tQ7Tbq0CeXsu2mlwh6oCjZBNJINw90KeeCUL1kNjETiZFE6gxjpk586eYLGst8aLRGk3eC9QTpyy2DE5FUybEbA7YyeUyXDjoecvdbxK6kwNn36GNFIXZbxtkIm0uVLVwMnkRhZxMggRvrkp06eoOw3zpbohpYf2fUhRmSEi6pGhTDJsNUjEdocIRk2KZbZj/WSCmPTp48RjWTDMLdCJpLlY1QDJ5EYWcTIIEb65KdOnqCP3JKzAiVavrvaaTEjmV98ybDb/rfSw+MkwzY1fJw2cKZUGJs+fYxoJBuGvxVykCwfrxqSicTIIkYGMdInP3UyTzMlBgVKnTsYV9rOzi4KJ5LJq3RYgrfb+zmSYZpJbq6DX0iF6XZA+hixSDYMfytkIVU+XjWkEymdRYwMYqRPfurgRD1ANSAoQDUgKEA1IChANSAoQDUgKEA1IChANSAoQDUgKEA1IChANSAoQDUgKEA1IChANSAoQDUgKEA1IChANSAoQDUgKEA1yhG0s0O1Eg4OH9i6GsUGheRTOYIilFKRmewItHU1ig2KyKfiBE2VfjYFgIci8qk4QU+Fnwof0uqD2G71HqJl3jUn5Nu6VspFEflUoqCV0/Mc4tHE5UeDHmX0tehdwMUbReRTiYK2R6jBXbRy5jRVaGhgH1vXSrkoIp9KFLQjk9AHTELjZiOUr7Z1rZSLIvKpZEHPBzxV91xl61opF0XkU8mCotV+7sNp+41XEIrIp5IEfRUNbalUOJTmU7mCAq8FIChANSAoQDUgKEA1IChANSAoQDUgKEA1IChANSAoQDUgKEA1IChANSAoQDUgKEA1IChANSAoQDUgKEA1/weL/wjKfsO5YAAAAABJRU5ErkJggg==" /><!-- --></p> +<pre class="r"><code>print(p14)</code></pre> +<pre><code>## Sums of squares: +## SFO IORE DFOP +## 48.43249 28.67746 27.26248 +## +## Critical sum of squares for checking the SFO model: +## [1] 32.83337 +## +## Parameters: +## $SFO +## Estimate Pr(>t) Lower Upper +## parent_0 99.47124 2.06e-30 98.42254 1.01e+02 +## k_parent_sink 0.00279 3.75e-15 0.00256 3.04e-03 +## sigma 1.55616 3.81e-06 1.03704 2.08e+00 +## +## $IORE +## Estimate Pr(>t) Lower Upper +## parent_0 1.00e+02 NA NaN NaN +## k__iore_parent_sink 9.44e-08 NA NaN NaN +## N_parent 3.31e+00 NA NaN NaN +## sigma 1.20e+00 NA 0.796 1.6 +## +## $DFOP +## Estimate Pr(>t) Lower Upper +## parent_0 1.00e+02 2.96e-28 99.40280 101.2768 +## k1 9.53e-03 1.20e-01 0.00638 0.0143 +## k2 6.17e-12 5.00e-01 0.00000 Inf +## g 3.98e-01 2.19e-01 0.30481 0.4998 +## sigma 1.17e+00 7.68e-06 0.77406 1.5610 +## +## +## DTx values: +## DT50 DT90 DT50_rep +## SFO 2.48e+02 8.25e+02 2.48e+02 +## IORE 4.34e+02 2.22e+04 6.70e+03 +## DFOP 3.00e+10 2.91e+11 1.12e+11 +## +## Representative half-life: +## [1] 6697.437</code></pre> +<p>The slower rate constant reported by PestDF is negative, which is not physically realistic, and not possible in mkin. The other fits give the same results in mkin and PestDF.</p> +</div> +<div id="n-is-less-than-1-and-dfop-fraction-parameter-is-below-zero" class="section level1"> +<h1>N is less than 1 and DFOP fraction parameter is below zero</h1> +<pre class="r"><code>p15a <- nafta(NAFTA_SOP_Attachment[["p15a"]])</code></pre> +<pre><code>## Warning in sqrt(diag(covar)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in sqrt(diag(covar_notrans)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in sqrt(1/diag(V)): NaNs wurden erzeugt</code></pre> +<pre><code>## Warning in cov2cor(ans$cov.unscaled): diag(.) had 0 or NA entries; non- +## finite result is doubtful</code></pre> +<pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> +<pre><code>## The half-life obtained from the IORE model may be used</code></pre> +<pre class="r"><code>plot(p15a)</code></pre> +<p><img src="data:image/png;base64,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" /><!-- --></p> +<pre class="r"><code>print(p15a)</code></pre> +<pre><code>## Sums of squares: +## SFO IORE DFOP +## 245.5248 135.0132 245.5248 +## +## Critical sum of squares for checking the SFO model: +## [1] 165.9335 +## +## Parameters: +## $SFO +## Estimate Pr(>t) Lower Upper +## parent_0 97.96751 2.00e-15 94.32049 101.615 +## k_parent_sink 0.00952 4.93e-09 0.00824 0.011 +## sigma 4.18778 1.28e-04 2.44588 5.930 +## +## $IORE +## Estimate Pr(>t) Lower Upper +## parent_0 95.874 2.94e-15 92.937 98.811 +## k__iore_parent_sink 0.629 2.11e-01 0.044 8.982 +## N_parent 0.000 5.00e-01 -0.642 0.642 +## sigma 3.105 1.78e-04 1.795 4.416 +## +## $DFOP +## Estimate Pr(>t) Lower Upper +## parent_0 97.96751 2.85e-13 94.21913 101.7159 +## k1 0.00952 5.68e-02 0.00262 0.0347 +## k2 0.00952 1.52e-04 0.00639 0.0142 +## g 0.22357 NaN NA NA +## sigma 4.18778 2.50e-04 2.39747 5.9781 +## +## +## DTx values: +## DT50 DT90 DT50_rep +## SFO 72.8 242 72.8 +## IORE 76.3 137 41.3 +## DFOP 72.8 242 72.8 +## +## Representative half-life: +## [1] 41.32749</code></pre> +<pre class="r"><code>p15b <- nafta(NAFTA_SOP_Attachment[["p15b"]])</code></pre> +<pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> +<pre><code>## The half-life obtained from the IORE model may be used</code></pre> +<pre class="r"><code>plot(p15b)</code></pre> +<p><img src="data:image/png;base64,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" /><!-- --></p> +<pre class="r"><code>print(p15b)</code></pre> +<pre><code>## Sums of squares: +## SFO IORE DFOP +## 106.91629 68.55574 106.91629 +## +## Critical sum of squares for checking the SFO model: +## [1] 84.25618 +## +## Parameters: +## $SFO +## Estimate Pr(>t) Lower Upper +## parent_0 1.01e+02 3.06e-17 98.31594 1.03e+02 +## k_parent_sink 4.86e-03 2.48e-10 0.00435 5.42e-03 +## sigma 2.76e+00 1.28e-04 1.61402 3.91e+00 +## +## $IORE +## Estimate Pr(>t) Lower Upper +## parent_0 99.83 1.81e-16 97.51349 102.14 +## k__iore_parent_sink 0.38 3.22e-01 0.00352 41.05 +## N_parent 0.00 5.00e-01 -1.07695 1.08 +## sigma 2.21 2.57e-04 1.23245 3.19 +## +## $DFOP +## Estimate Pr(>t) Lower Upper +## parent_0 1.01e+02 NA 9.82e+01 1.04e+02 +## k1 4.86e-03 NA 6.49e-04 3.64e-02 +## k2 4.86e-03 NA 3.36e-03 7.03e-03 +## g 1.50e-01 NA 0.00e+00 1.00e+00 +## sigma 2.76e+00 NA 1.58e+00 3.94e+00 +## +## +## DTx values: +## DT50 DT90 DT50_rep +## SFO 143 474 143.0 +## IORE 131 236 71.2 +## DFOP 143 474 143.0 +## +## Representative half-life: +## [1] 71.18014</code></pre> +<p>In mkin, only the IORE fit is affected (deemed unrealistic), as the fraction parameter of the DFOP model is restricted to the interval between 0 and 1 in mkin. The SFO fits give the same results for both mkin and PestDF.</p> +</div> +<div id="the-dfop-fraction-parameter-is-greater-than-1" class="section level1"> +<h1>The DFOP fraction parameter is greater than 1</h1> +<pre class="r"><code>p16 <- nafta(NAFTA_SOP_Attachment[["p16"]])</code></pre> +<pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre> +<pre><code>## The representative half-life of the IORE model is longer than the one corresponding</code></pre> +<pre><code>## to the terminal degradation rate found with the DFOP model.</code></pre> +<pre><code>## The representative half-life obtained from the DFOP model may be used</code></pre> +<pre class="r"><code>plot(p16)</code></pre> +<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAqAAAAKgCAMAAABz4j/3AAADAFBMVEUAAAABAQECAgIDAwMEBAQFBQUGBgYHBwcICAgJCQkKCgoLCwsMDAwNDQ0ODg4PDw8QEBARERESEhITExMUFBQVFRUWFhYXFxcYGBgZGRkaGhobGxscHBwdHR0eHh4fHx8gICAhISEiIiIjIyMkJCQlJSUmJiYnJycoKCgpKSkqKiorKyssLCwtLS0uLi4vLy8wMDAxMTEyMjIzMzM0NDQ1NTU2NjY3Nzc4ODg5OTk6Ojo7Ozs8PDw9PT0+Pj4/Pz9AQEBBQUFCQkJDQ0NERERFRUVGRkZHR0dISEhJSUlKSkpLS0tMTExNTU1OTk5PT09QUFBRUVFSUlJTU1NUVFRVVVVWVlZXV1dYWFhZWVlaWlpbW1tcXFxdXV1eXl5fX19gYGBhYWFiYmJjY2NkZGRlZWVmZmZnZ2doaGhpaWlqampra2tsbGxtbW1ubm5vb29wcHBxcXFycnJzc3N0dHR1dXV2dnZ3d3d4eHh5eXl6enp7e3t8fHx9fX1+fn5/f3+AgICBgYGCgoKDg4OEhISFhYWGhoaHh4eIiIiJiYmKioqLi4uMjIyNjY2Ojo6Pj4+QkJCRkZGSkpKTk5OUlJSVlZWWlpaXl5eYmJiZmZmampqbm5ucnJydnZ2enp6fn5+goKChoaGioqKjo6OkpKSlpaWmpqanp6eoqKipqamqqqqrq6usrKytra2urq6vr6+wsLCxsbGysrKzs7O0tLS1tbW2tra3t7e4uLi5ubm6urq7u7u8vLy9vb2+vr6/v7/AwMDBwcHCwsLDw8PExMTFxcXGxsbHx8fIyMjJycnKysrLy8vMzMzNzc3Ozs7Pz8/Q0NDR0dHS0tLT09PU1NTV1dXW1tbX19fY2NjZ2dna2trb29vc3Nzd3d3e3t7f39/g4ODh4eHi4uLj4+Pk5OTl5eXm5ubn5+fo6Ojp6enq6urr6+vs7Ozt7e3u7u7v7+/w8PDx8fHy8vLz8/P09PT19fX29vb39/f4+Pj5+fn6+vr7+/v8/Pz9/f3+/v7////isF19AAAACXBIWXMAAA7DAAAOwwHHb6hkAAAgAElEQVR4nO2dB1gURxuAKSoGFEXaAVItQQERMLGLBQsSxRJEBbFEibF37FiiYDeWGCRgixJr1CRqYgwaEzVqrH9ixRIrokiRdnA3/+4Vjhx3M3O7e9zuMe/zuNztzs7Ofb5322a+NQEEAo8xMXQDCAQYRFACryGCEngNEZTAa4igBF5DBCXwGiIogdcQQQm8hghK4DVEUAKvIYISeA0RlMBriKAEXkMEJfAaIiiB1xBBCbyGCErgNURQAq8hghJ4DRGUwGuIoAReQwQl8BoiKIHXEEEJvIYISuA1RFACryGCEngNEZTAa4igBF5DBCXwGiIogdfwUtB73fpsMHQbCPyAl4LOPgM6GLoNBH7AS0HzJP+GG7oNBH5gGEF/b+3kObsMmDSwtbVdDSQr/Ow6nKi4/EjYU3gF6RoE1jSPIHQMIug7x2NlOT03A5N82dtPQx6WnXY7oFp+YqYEUQNSUOlUkdNkCVjrIYp5p3orI+FnNm0nVC0GEfSWQxkAf+1TCHrTIY+anvIqK18+qvfAqArFJVnyf6p3aEG/932T0/z7qw2yckLjy9/ea+O3AryK5PSzEPSLQQSV+HVI/ZfeuEzQTaPpqdTpITXd6/yX2Kt8b7/eo9G0svP9W8bR/6RLPT2my94BmYyyhT0OARB0Wv76P4JeOwvEvY4dmQdAclT522m/gLYFk29U3QflB6gDKjWS4yq+M/SBk2GOQUu+Hliv8y1ZyDzBjCWyeW1PUZOkK1NTu0gVpX71e5kfueq85S1A/zvun1PUbTv9CtBhky9MjQb3PSXy17JQupvQlFKvEmv2pyt6FXhQVhn99l7bgMQ7Y6v80xoY1AGViv0+9JQIKuNFm+6KkK0dJ5vh+Q81KQbzGl1UFpnvHhzsM+h8ZwDofzPXAvDtcPoVoMMmX/jWoWTZIkVB9VBe9ksF0m0e2yq8pYh+pucPxjtgB1SqIyeanLv0lAgK9sVTk0s2ipBdcC2ippdFYtmyRYPKiyUsBqBMfD6MEpT6N2MdtWI0/QrQYZMvBH1P+GcoCv4nlN+mA7BhZFlUn2cV3lIvzi6Uzm7R+bHePyKP0H5AJTtekh0e5YWL3L+jwiye4NLyk7jj1GF6XLJ0msh+UHF6uHyZoTDQSdIf0tfxHyl3OpEDXkgvNt0ue13o+k15scveb8QDNikF/T4wr7hHSrmg8oVgT3BnZcH/7OK3BIvf9ttwsBu9l5fcEsvfUv8x4XlPQsCBxVX9iQ2K1gMq+nhJfnj05UDJ78OpMCd1LXzjrRD0n+BCcavT6eHyZYbCMLv4owF2jlEvlYKK470d2hyWL0mMnKQqtrmJS2z5L6h0kZfnlNJyQeULQf5725QF//MLKh7p4TxePMXcwsIiusjkofwtdRL2FQCzAoKfV8mn5BGaD6jo4yX54dG1hrNPS6kwD6aOTZcrBAVZJz63PZ4eLl9mKHh2J+mN7e3+f282dCuMC+0HVPS3XXGo9HZrv3bS82FDqDPKlTJBxydfaLbqfDglqHyZoVrPM0GnDQd7rfYZuhXGhfYDKlpQ+eHRkmnSN1bZ58O2hhTl+sWlNxe/8UheNhE8cz+aHi5fZqjW80zQAuqLjbqLRNARrQdUsuMl2eHRozZO7l/QJ0nj3QKWrS6OaRK6aN+DgOYfrQxKD5cvMxQ8E5RA+C9EUAKvIYISeA0RtIq5OG9kzNxLhm6FcCCCVi0rm8anpCz2WW3odggGImjV4pFLTwt9DN0OwUAErVoay7oBZLYwdDsEA0NBXyRVY7bmMY93mmP03Lkxzt+SeKqAxhMpqOaD+mTv2OpLw5901bICmalLlqZklr99V0fWu8XE0tAfyoBA44kSVMtB/dYxTP+DjICesP7oOIRWmjPMm2WVQgYaT5SgWg7qlYJe6+875C7jlgkUNoJG0VhGRanNJoJqAyWoloN6haBPRMk317oZrCOBgWAj6ErrhLQ0u7Q0tdlEUG2gBNVyUK8Q9Ivx1CRiD4vGCRFWu/iLrdKAe6W5RFBtIE+S1A7qFSgEXTqfmoz9inHThAm7Y9C8mBGiSjOJoNpgeBavEPS852Pwj/Md5m0TJGxPknZXHodGBNUGy7P4TTYeDt9UWsnIYX0WXxkiqDZ0PYsvjIqgaeareF/ysJRl84QHEZRbOD2Llx7ZR9PJi4uWCRQiKLfo4yyeBJRbSDy1wfAsngSUW0g8tcGwswgJKLeUx/N/h6vdjTm9Cvr3kFYjHjCrQrjoUdBYj3DnuZzXznNYCerrLkdttiKgz5w2XkrweMuicUJEf4L+EFQMchv/yXn1/IaVoFl+yU9o1GYrArqRzmU4UP0MytjRn6DxdNKoCRs5r57fsNvFr9GYMFsR0CULqMlnWxg1S7joT9DkIdQk5DDn1fMbPR6D/tHoGbjncotZHYJFf4LmNZ7wzfCgEs6r5zf6PElaa+Ntt41ZFcJFjydJbxZHrXjHee08R6+XmQpuFTOrQcCQ66DcQq6DcgxvBC06dTKf65YYACIox/BF0Ltenbo2vMp5W6ocIijH8EXQ0C8BSGvNeVuqHCIox/BFUNvXAJTWFn53RyIox/BFUP9zANxuyHlbqhwiKMfwRdA09y3JTY0goT8RlGP4IihIH/PJMa5bYgD0MWiOCMotqni+4bxu3qOPQXNEUKbAv/Db7W0aGu6pbgZCH6lviKAMgX/h/3K9DS6JMphXL0j0kfqGCMoQ+Bd+Od1ZecxW5tULEjJojmPYCAr/wq+dTE2G7mJevSDhdtDcP5dpejfloGFChY2g8C/8A9G+pykur5hXL0hYCSo5cEi6Y2B8gfL9u9ZBNLaO3LRNkLA6SVL/wj/NoOn/vvzdH11dwq6zapwAYSXoxKD2fXsdGjZSbTbZxTPk3cKog9Sf6PL33l40dckXXgsoQUX5Jda3Qa6z2mwiKEOiQ5MDtwNgoTabxFMbKEFdsvIsLoFM9Tu+JKAMccwFrzyeEUErwu5Cvch1elBCpzi12SSgDPF4DUBqXykRtALszuKv3ABnZu1Qf0Q2CShD1tjOA9IhIeZqs0k8tUE6i+gOq7P4q0cAKDswWW0uiac2iKC6w5veTEYCEZRjqlzQ00uTWDzcjvfoV9Bqd1m56gWd571giEelDJjGg14FldSrbqnDqlzQF/ZUiONmcr5N3oAUNE6BDg8xVwb05WzHIdXO0CoW9LdO1ORoH863yRuQgiYnJ3/SLGGF73L8OhUBfesxc2gLv0JWzRMeVSxopt1rAKbN5nybvAFnF98yG4CcAPw6FQFNGgbOBfY8xLxtgqSqj0GXek3v1+Q159vkDTiCOlO/gkXu+HUq81kuAqX1xpB8lv8lXAl+lfCz+D/X7DLmvRSOoOO6HjgYMhG/TkVAT/i/A10d/2LeNkGCEjRdCX6V5LKdNhSCipMGD9kqxq9TGdApzj3rtGPcMoGCsYsvPn38+NEg/CqJoNpQCFq2apB4kw5JVMoD+uDEkZZMGyZUMAQd1co23G0VfpVEUG0oBJ0a6VM24FP8OisEtLSeER+/awRD0Ebizy881eHKECNBC8fZWI/MZbAiz8AR1Cs/GIg1pvlBJ24IPciqecIDQ1DHwuOrQXP8KhkJOuXjrLcjY9DlcpcNjcfMB1F86kTVG48jqFtmMHitaSAcRuKGtTr88hoFGIJOCc7ynhiIXyUjQd0eA5BXT70nZCWK/EfvntgYy7uHjTt2d77AoCmswBF0XQv3Rd5faliOkbjhH1dWzRMeGIJK/wEXlj3Er5KxoLloQQ/2pCaDk3Fq7L8WgKN+DJrCCqx78afmJ2i8WoSTuMHzH+aNEyIYgibT7MOvkpGg0/qd/CV6BLLYhknUZFE8To0Nn1LfrToF6IKcgiNourbvIU7ihk/XMm+cEMEQNC4ubrzHYvwqmaUAtzM3r3cZWexCk1xQ2PI4To1tfqF28/YMmsIKHEGDPBdpeeSm2jjuwugIGneXCkUO9WTdRkGBeavzdW/8KhkJ2m8F9VPdEV1utMV7tT/GqvGoy4atzdYxaAorsHbx95b5d96uYbk4JT93bnhC+bNmJIf30XTyqlAmz7qqdwqGBVNQcRP8KhkJapdFbcQSefU60zlu8hzRQ6wqz40d/QPu5u9ylXwcrz9oyYng9zQsH9at8OMBu8Ji1Wf/J6DBxpBGFR8MQSMpmmFcAVLCSFBfavf+wAlZbKefKNTZfz2DDcBYVsPUFO9nGQmOoIeiHfru0fTMHcciYJ8P8uDj4hMmsWqg0MAQ9DhFug6POGMk6Nfv79nnvxJZbLZ1DihwUM8Nw5LrZlvAHzV16EEMAUfQHqlauh0HXAeBD0Gmevz+G9AbnsxbJ0BQgrLoAK4bhyMGpkmRpRZYXQW363F8sXo6/ZPVpxUndWEImqWemKGcC24RfZqNb7JNbbZaQJteY9g2QYISlHkHcCTZDB48eSBA5GDfBus6KNjbu/vmMpyCi+hz/c4YZ2gYYAha1lLrE4uLDq1asLnSGb5aQGfEM2uaMMHYxTPsAI7gTmsby9E6Pwu50PfTlCmNcnCKJtnWq+M4Bafk8xr9/5htxk22cpxdfD+rzmFhYfh1qgX0d3/dmyVcMARl2AFchTh54tpK5wQBm0F+uA5XVxW8XTRwfhZWSVG7p6+jayHvTdH87FzDhqMLUjiCnpeBX6daQCVO1SmvOoag2juA4z01RdLtow0x3mqGvqDP2C/o89mHNX8FoMAU67b9nQEewb/i1drS1KTBDchyvfYHVRC7Bn9dwYMhqNYO4JhPTTn1IXXyM1Stc0SODfU/dLKLTm3VDevRUrDJHOcgIs/zi4ffiW7iVNrabPG39dSzpVVEz/1BZRzj5nBZGCAF9bkbJkPDokqdb34/SRPiQk2eA/DupPzv5lDq74IZ5e/lf/tFrh7rMatiOY7/TrGxb1j3A5zyyz6k/i5agFOv+SgAMk1StZfrzKo/qGbUBS1u8Bx/ZaGDFHR/jtZDJvXONwWhITRO71GTVADOhcj/plp2Cenmvaf8vfzvt++9Z16rU8VyHP8tjqhhLgrGKd/Ckfq7ZjpOvabh1F+TD7SX82XTH1QLFQV99f1vEjCc6zsVPAbvVqc0W9Nc3KemTPMa4ReudrYioYcnLhyN20y98kJ0FjxsgnUQ6mVxt6SZer7JirDqD6qFCgE97PBRUNDbnz7EX1noYAh6aLi0ndUGTUvUH6IgRxXPd4q/V7b9ppx1vXHNuvSF6kce4HnONZ4MAfvJ3bYB3njzHBsTkxrq38iKsOoPqgVVQMX2VwGYNLVMdEeH1YUNhqBuv6f3e63D/TVlPPc4WXmq99YosWrzy/Iaq6jjqDrNnOq1400OnCysy1E0Of9CF2MmD9O8S9KCStB/mlGT39uDSbpfnxMqGIKKJHFbpepPnoCgiOfVhjfBOfWOR4fpM+BRjaiJg+uWBRaj8GsVCFidRbTukjSjEjS3fh4AyYNBiqVrr2qSwQFD0D4DXXOm6pAwQBHPhDnUZLT8ruQL5S3H7VZAfu/7mcvhT2ft/0C3xgoArEFzDHdJFJPbbl/m8Ne/ItGP252qx6k8hqC5X14DSx7jV6mI55qp1CR6JzU57Cyy2Sxf9rZGHLhT9xP6t0AMwIluujeY5+AIynCXRCP9ZsSUW+DLsfETwcivmbVQYGAIyvDGx33R4Zc7nalTqMeiy+Ch11n5wu0WZqbt6AO+QYOv/uydxqDF/AZHUO27JLxbc2D19H9tCyZWjzRiGIIyvfHxW0dR9yvU313DqMnn85SL78iHLLyb3bLTHl1aKgxwBNW6S0Lfmns7xbfDXnDD5X+9ljvdZttWQYAhKNsbH4fozHizEnRrl1DBEfTtzNYdl2gaWYQeF9/7k5s/Nf4O7Ha0rrWfXUOFAs5lJhY3Pmhy3Dfc3yO6p2PDBAqOoAOHXLw0dLiG5chx8S8dy0rAob7Uq8fO1WR8PIagLG58yLkzsHEvHXqXCRqsBLbUAX2pu4blyFtz99y7WtaL7gK+86plM5BtU4UBzq1Oxjc+qiE4gnZ6BsCTNpoKqN+a+1f2fPN+5bsvqUV06f0G/f5x+hN8a4bV/UrwIAV9cK6Q2kvf+gK/ysqCih8wGN0hTHCe8jHYMTbWfo62QqGqlwU+as83f+ji42zdO2QdfQXPc4hipuTrgcN/Z9dqHoMSdJ2pm/2PrtYNO+FXWUnQvQ6e9bgZM8l/kIJuUaDpClsUjWVUlNpsVUCfukifv/sxdOME6vVHjorbs1M6HNji8hPLdvMWlKBOV8Bpk13Yd6pp1AV9IPofeNYkXceGCRScQXMPTv2jOQH4SuuEtDS7NHV3KwS0Q9yra/47H4qOZB8Q+f8om1VUlzr3/64Xm0bzGZSg9akDn/pYYyPLURd0x3BqsmyuTnUIFrSg+z2d2nqIdmgscLFVGnCvNLdCQF8MtW+6EYAzQXU/PLcrRDbrKZ256br6mb/RgBLUlvrnCC+ijrqghz+iJtNX6FaJUEEKesyd7nh6qekRjSXyYkaIKs2sfFA/W9TNIb7E5arsjcdJIJ06jkljhQBKUJusrCx76h/eSEoZ6vHM80q4mYKZT0nwIAVtJ+8a+2dbLWV2V37gTyVBTzfLBdmNz68dIHt31rlD8za6dN8TFChBLZTgV1kpng9ifPtf0bllwgQpqJ38eEmiw26pUkCX05cApq0pcpE//fjdb1e05GS52tUmEDuBGj/R75PmTn9Yt/UZzjfAZ5CC+jySvXzOJun/tkhqEp4GVkXAV3zjsiv7F2dhZ8rRq6APRT/kHXV8xPkWeAxS0ITuedS0qD+bjMC5jWYcmfT+O/BOBBuiD8Ch/tRk0UL8LfEQvQq6mT50H6vDXVLhgxRUEuswesk410gGT5pTkRnXdx79wKRVA6Ar7hsEFMcDwkWvgm6g85FMqB79FhVgXAe9sWnGWp2ePqL93nGRx1nYiplOx6TX3ar8SSecoldB74p+A6dF9znfAo/BHDSnE5DODd98CE1Zecavlts3zDbKF/R7kvSjd43mJGN1OdwLKm0FGwNNoXP+QL7BSlCMEQq63YQSPlUsKEj3NOaHmwN2gmImD6tWVLWgYLCR30NmIyjGk/uqHVUu6EuHv5nVKhDYCIrz5L7qRpULCjZ3QKf2FzBsBEUnD8tfNXK1puetGC9VL6ikjVFfaGZ1koRKHlboNyJ1mH8Riy0IjqoXFNx3MOZUYmwEfbcw6iD1J1pttiqee+iOdmHGl50BAjtBMRM3qLEpSIfbUkKDjaDRocmB2wEo7+gk2ZVE06b80ZKJdKLFuGrSE1QOK0EZXhaR9oxHN0yosBHUMRe88nimErRoXCxNk/IkD780m9BrQjPMxxMYB6wEZXZZ5KqziYkPV88a5R2sLjO9BiC1r1S9q6gqnjnW9YLrWWM91chYYCUos8siNu2yUky7opsmTNgIusZ2HpAOCVHPiK2K547IG9/eHLST+RaEBytBcXOq/4f7phIABpkZ6w0lVmfxV48AUHZgstpcVTxXzqQmM1ex2ILgYHeSpHZZpHBYBI27C2ydB7SgW2oO0GnkrXBg21lEQ8ollaDnGr8GWY2E3d1LR1gJqn5ZRPLdPppOXpB1AGjwwdMz9fp2m4bfSCHBVtCgyrMq7JGW2newX8ZuAwKDlaDql0UUII5Bb7qamncpzW5O7amKLv3P2G4r6VdQ8PJspev4xg0rQdUviyjAu3f8tNGqSx6tGrd785+5gt/xsxU0qfIsci9eG8jLTKjLIlAee4gOAem02AqzzgbU8BR4lmD9dliufrASFHlZBM5f5ssBuFWhcKbTD5LLrn/irc1TiKDcwu4sHnVZBI64jqNztznBqhn76GHJAk86RATlFgN0FlHhZ+PZqGYFvQ/2T524dt4CZlvlCURQbjGkoMV15za3d6hw2vqqtv+qXjWEnTuUCMothhT0TR3nqSOtzFVnRWe8O9Xx76pD7mEeQgTlFkMKKq3xOSjt2PD9EcreD9tHUJP16oe0woIIyi2GFDTT1sfLoUuj/HENj8pnXPXKB5Ie25ltlScQQbnFoL+gdrfuv0jpS+3am/TLkM2Z6TmyZW+8kd+Fn9WrG8PDjmdEUG4x6Fn8DueZYxzofGLFCXZxsjtKV1JPY647JeJNzifqgyO0kzejRfvd2KVZQATlFoMKCm4kbnopf/VsrP1inZLauj8GIL8edp6NAdHXT76PyGrCCURQbjGsoBXJGGk7XYfMlx6nPl/0Rz3cW/dvG5QCcKwHk3bpCBGUW/gjKABPptuF/4j7mzjIoldY7S7YVdPDes5rS2POJURQbuGToAAUfN3GacZlrKI+tS1qWVR+gIPW4qmgYIAOSXgffcWwWzARlFv4JSjFrXnve039BT0uueYWAH40xR6//HcLJ+vh+KnzRppZm/kw6vpHBOUW3glKcX3ph9YfrbsC39nXTAbgJL6gALzQIWXMebMzIKvuRPwVVBBBuYWPglJk7fu0uXX3+Ye1nzU1t4ka0QB/F/8qor4z/mCzqfQha6QvdvkKEEG5haeC0mT9EN/bqUHwZxt/eqDhx/SY44CBzvjZmP0t+wTWXoNb+os61KQN9ilYRYig3GKI1De6kHlqw2fd3CyadP9kcerxG5kVRjDdmBOH37X5ldkVAKKdcYsXWNo2amj2B3b12+rVcFSU1neG5eqGIVLf6E7x7RNbF47o6etgLvINHjAmLvGrtB9/+ysjE/tW5590r/+UOrjFS3yd6jk2eIBb/JhJs3GOps9kr0mGZW7hNvXNvxk0/Zpy0DDNlD6//uv+rxLiYiN7dwjwcrA2qW3j5tUyKDikd0TEiNjYSXFxcQmJiYkb6JxbKfvk/Hjy5MkfzaJP7Hfz+uUyhGsZ5ewJpCafTc7ApLFNRiaoKX8qOcmwzC2cpr5518yLpr4nFy3DozD7ccaVy6dP/rhvX2pS0npKztmUpBPpnFujIuT0DqFwMzczM/+wWxAEf69yHK2oiZ21FybmNb36gbrBsgaRDMvcoo/UN1vHsGyUPjj66ey72IX/Fd0F+a334RYfavY32G8if2K5fjMsVz84TX2jgJeC6sZO+w/sdeg47WxiZqK4j6rXDMvVEH1cZjICQUHuxRe6FD8bf0vxivVlptBKc4ig2mAqaEy2gnsPENy5jypxm3WBjDusq7h7F7kR5UfuykLQKBrLqCjle/HqRJpAV+x4svqUENAB0NOGH3TUg6A/2NrIqW9iigBZAF2iSqpAo/jINvZXmAWNZqV1QlqaXVp5DvqSxXE0oVbY8dT3p6z6DZvALnYzFLScAktUiVEpiAJXAlBVtEcNU94zBFWF7WtEgfhFiAKv7FHbwOJiqzTgrn0xOp4Qfu7OYmVkAGCEnGSxcm3YM02IoAqqSlCQFzMC0r+ACKoGEVRBlQkKwO5w7cuIoGoQQRVUoaAaMiyXQwRVgwiqoAoF1ZDAthwiqBpEUAVEUOMUVLIUVeLQDUSBNxtRVXz1ElHg1l5UFctRHfPTzyAKiJejtoGLhgzL5aDjCeEJ6rcABjIAMFKesFh5CSxHPFtBCQS9QgQl8BoiKIHXEEEJvIYISuA1RFACryGCEngNEZTAa4igBF7DUtC9TT2h2WayfOGF1nqIYt7BCkinipwmS+DbWREFb4iXmbn5AViJC4GOMaWQAovNzc3NApAflgOYbwIZSTioGEJARQ/KShenidD/XnaCZjo8ymlaKU2GirV+7tBCVxtk5YTGw2r53vdNTvPvodu5ZB0FbUixSApvapHbtaJuqYjPMncP6sNyAPNNoCMJBRVDCFjR08ZVUVZ+0AHYyuwETY0GIH6e9uU/J7tDCx2hZidHwWq5dhaIex2DlchrlRAFbchNj6GtVkggJQ5FAFD4Dv5Zbg9DflgOYL4JdCRhIGMIASd6WrnumlfS/iBsZXaCLp0LQMpISIEn7qhCrwIPwgsk1uwvhZWISUuLgm7jZNf7D1tug5RY1TfIISIX2gpp7wz0h2UPq00gI6kdZAwhYEQPwrTa1n2h/73sBF1C1xwDKUALCisk3eaxDVXLZb9USIndIwAVXFRDdkZASiz0fpA/YB60ihODMT4se1hsAieS2sCLoRYwoqedM0EXb/XcCVuZnaB0rYvnQArQgkIKlUX1eQav5dt0ADaMhJQIF7nbWYbCqvjzBgAHhkBKbB4PwK5w6GcZvgfjw7KH+SbQkYSAjiEEjOhpZ9YS6hhhIGxldoK+dM4s9IEdGtOCQgod7CZF1LIlWPy23wb4dqhvP6zAfv/s4l47ICUeNM3IC0uAVVFsl43xYdnDfBPoSMJBxBACOnoQdrR8lTssHrYyy8tMaX4+0IsLtKCQQlPMLSwsomG1iEd6OI8Xw7dDBRdWQDrNsdEcCaxEqofzmGJYgaOdZdtBfFgOYLwJdCQRG4bHEAYyehAks5ydRhTAViYX6gm8hghK4DVEUAKvIYISeA0RlMBriKAEXkMEJfAaIiiB1xBBCbyGCErgNURQAq8hghJ4DRGUwGuIoAReQwQl8BoiKIHXEEEJvIYISuA1RFACryGCEngNEZTAa3gq6L1ufTYYug0EPsBTQWefAR0M3QYCH+CpoHmSfyFPXCVUHwwhqMstIFnhZ9fhBPXawsa2vtM6qh0NbG1tR6vKHAl7Cq8kXYPAmuYRhI2BBP005GHZabcDlKBZAFwxfQBM8v9T5MRMCaISDEHp7LnSxQ1dlY/ao5O0ykj4mVnDCVWPYQS96ZBH/T3lVSYTFLidUxd0VO+BURXeSrLk/1TvMASVZc895PviWYdfZO/pJK332vitAK8iOfogBP1jGEE3yXbmUqeHtKDS3+wKVILudf5L7HVCWXS9R6NpZef7t4yj/0mXenpMl70DMhllC3scAiDotPz1fwWVZc+dNR+ADZPpt7IkrdN+AW0LJqMeb2tU4BxQqZEcV/GdYQ+cDCPojCWyF21PAQt7xwecE4YAACAASURBVPomPyhCtpqal3RlamoX5eNvf/V7mR+56rzlLUD/O+6fU9RtO/0K0GGTL0yNBvc9JfLXslC6m9CUAnnmsu2t3mR1H0SvIEvSeq9tQOKdsVX/kQ0IxgGViv0+9JQIunac7IXnP3TIyna6AlXIisG8RheVJee7Bwf7DDrfGQD638y1AHw7/Lws0xwVNvnCtw4lyxYpCqqFkha0bJyjdzT9WyFP0koT/Uzvn5BPIA6oVEdONDl36SkR9IIr/Qz7yyKxLGQS65yKIVs0qPxlwmJKMfH5MEpQ6t8Maue0L5p+BeiwyReCvif8MxQFNQhaXEBpngCUSVqpF2cXSme36PxY/x+TJ0APqGTHS7LDozwqQN9RYRZPcGn5Sdxx6jA9Llk6TWQ/qDg9XL7MMBjoLD5ywAvpxabb5Tsd0PBWBUELXb8pL3nZ+414wCaloN8H5hX3SCkXVL4Q7AnurCyoYRd/ukneS89HkltiIM+BCaTheU9CwIHFVfmBDQr0gIo+XpIfHn05UPL7cCrMSV0L33grBP0nuFDc6nR6uHyZYTCQoOJ4b4c2h4FC0OAvgIm9o6Nja3ppYuQkVdHNTVxiy39BpYu8PKeUlgsqXwjy39umLKjhF1Q6R+R7ABSZPAQKQfd+RZ05BQQ/1//H5AnQAyr6eEl+eHSt4ezTUirMg6lD1eUKQUHWic9tj6eHy5cZBt7dSXpje7v/35sN3QojAnpARX/bFYdKb7f2ayc9HzbkIAArZYKOT77QbNX5cEpQ+TLDNJ93gk4bDvZa7TN0K4wI6AEVLaj88GjJNOkbq+zzYVtDinL94tKbi994JC+bCJ65H00Ply8zTPN5J2gBdbSIuotE0AHoAZXseEl2ePSojZP7F/RJ0ni3gGWri2OahC7a9yCg+Ucrg9LD5csMA+8EJRAqQgQl8BoiKIHXEEEJvIYISuA1RFACryGCEngNQ0FvxVVnXnD7f0DiCYkMUtCL80bGzK30JNqtHyZWX5qe0BQoVpB4agMl6Mqm8Skpi31Wqwd0DMv/ESHTUw+CknhqASWoRy49LfRRm60M6F8feQ+8xbhlAoUIyi2sBG0s69mb2UJttiKgj0U7bm10fc28bYKECMotrARNc4yeOzfG+Vu12YqArp9ATSJ3s2icECGCcgsrQUFm6pKlKZnqcxUB/Xw+Nfk0iXHThAkRlFvYCarlLF4e0D/dH4CbTneZt02QEEG5hZWgiLP4rxq4OO5l0TZBQgTlFk7P4osmxtK0+kDxvvRp9etdzEpQ6B6pesLpWXzZtiSaNh4cNEyosBGUXFeujD7O4od5s2yUkGEjKOK6crVEH2fxRFCGwK8rV0/YCaoZIihD4NeVdaW0hHlL+IM+BS3ZPj+tjFkVwoXVSZL6Hum3kzQTP2ZQVX60peUAI7iNx0pQX3c5arMVgpa07rO0S6/qdh7PRtB3C6MOUn+ile8LQkNonJwY1DV2eGHxxEHocnyHlaBZfslPaNRmKwTdGQaApDX3lwX5DRtBo0OTA+kMCmqzGR0yuTyjBLcW/g6M3S5+jcZ02YqALqDTUk2qbg+MYSOoYy545fGMG0E9MwDItjFU0iTu0OMx6N4uUiD2T2dWh2BhdZmJOmZM7SvlRNB5Pe5kDPiMeVv4gh4FLevVZrJ/NKKs0cFG0DW284B0SIi52mxGgooXNPKYUci8LXxBn2fx0mPrf2VWg4BhdRZ/9Qj1vT4wWW0uXND/JR8Ws9gk3yHXQTlGD51FoPFc13B0N98czrfJG4igHFPFgr62ewHAuPmcb5M3EEE5pooF/a0jNTnah/Nt8gYiKMfoUVDxzoV71e97PHPMB2DBVM63yRv0KmjZJGg5o0R/gpa0CVsc3Fvd0MmBKz91QTy6VMjoVVBpDeHfydAV/Qm6qzcAkg8rVf/9zNVGcMtdK/rdxdc3UO5yA6I/QcmduUqwFtTjAbMaBIz+BP22qxSUtqxuV5b1MapTJWjLKwybJVz0J2hZj3ZTWw7lvHaeo49RnSpBO1e377tez+Il36/9RTGr+hzb6yM3k0rQcEM9xNFwVMV10NMtanipd7s3VvSRm0kV0OHbmLVKwFSBoC9Ex6WXGl7mfDu8RL+jOievY9wwoVIFgu4ZQk0WxXO+HV7C6ajOslS1cfHx8awaJ0SqQNC99EiO+Us43w4vYSWo5MAh6Y6B8QXK90WTZJlFmrgqZ6ydwrZ9gqMKBM1yTsv/xekm59vhJawEnRjUvm+vQ8NGqs1WBTRFfZHxUxUnSZc61Q08xvlm+AkrQUX5Jda3Qa6z2mxVQA/2Z9wwoaKH3Eyk8402UIK6ZOVZXAKZDdVmqwJ6qgvjhgkVPeRmIoJqA3mhXuQ6PSihU5zabFVA/wpg3DChoofcTERQbSDP4q/cAGdm7VDvAaYKaIYX03YJFj3kZiKCaoN1Z5HXDZjVIGD0kJuJCKoN1oKW1RB+5gAd4TI3kzLfqifrVgkXPQ/5qJvLrArhwuVlpqIJ8uvK6meh1Qk9C9rwX2ZVCJeqHnZs7OhZUN8bzKoQLmwEhWcLrJ4gBVU+dFb94hwEZUCLvprWNJ1F2wQJG0Hh2QIrcG7Lz9Xl4B4paHJy8ifNElb4LsevUxHQooCP19i3qD5da+Ww2sVDswWq+Oz9sa16lrLYjoDA2cW3zAYgR4dL7oqA7ggHIKpJdblnrKQKjkH/bFoEpN13cb4dXoIjqHMh9XPojl9nhVGI44PJKETWlA/5OLpO9gubPJqarJ7B+XZ4CY6g47oeOBgyEb9ORUAPdJSA2Y5nmLdNkKAEDVeCX2X5oLn2UwLovsrpgRIABn3FvI1CAkdQcdLgIVt1SPGnCKgkvOVYBz/mTRMmKEHTleBX+Z9hx6cAkPbutnqQXwFiLSMBR9CyVYPEm3Q4Ji8/Zvp1y+zRTBsmVDB28cWnjx8/GoRfZaXEDWW7p39lBLlpscARdGqkT9mAT/HrrHBQvzeCWbOEC4ago1rZhrutwq/yP6lvfmLaMIGCI6hXfjAQa7zdhuxg+1N3ds0THhiCNhJ/fuGpDhkTlcnD2vZeEhxGHutTAYWgbpnB4HVTDcvRHWz//ABUMzAEdSw8vho0x69SlX5xwf7q5ieWoOtauC/y/lLDcnQH2ztN2DVPeGAIOiU4y3tiIH6V5FanNpT34k/NT/hL03J0B9uXDmwaJ0QwBJX+Ay4se4hfJRFUGwpB07XtV9AdbEtqsWmcEMEQNJlmH36VRFBtKAQN8lykJY2i+sNPf5c9/DSksWrOe9Xkcl05GILGxcWN91iMX2VlQe8dvq5TowQM1i7+3jL/zts1LBen5OfODU8oVr7X8PBT0XNOmikcMG91vu6NX2UlQRe5hHvGVJPuTHj9QUtOBL+nYfmwboUfD9gVFqs+u0JAvf9h1TzhgSmoWIezR3VBr3u8BSXt9uvQKAGDI+ihaIe+e/I1LHcsAvb5IE/7uHgA2pxj2UChgSFoJEWzGPwq1QX9+hNqsnKmbu0SKjiC9kh9q3l5wHUQ+BBkqu+BKga0F+luV4njFOnFyGLlqAv6U3tqMhLVTUx6/64xXDTFEDRLPTFDORfcIvo0G99km9rsigGNSWXeNkGCEpTFCAUlpW2H7prkqeVHQ8mLNp6N/DPwN8JXMAQta3lLW4GiQ6sWbK50hl8xoEtnM2+bIEEJynyEgoqC1dGLUI+eGbRACtaG4G+Er+Ds4vtZdQ4LC8Ovs2JA91W39GEYu3iGIxR0w+EVdW5rJfxxITiCnpeBX2fFgF5Xvw9q7GAIynCEghYuzNTYFbLZdQCeOOJvBIcsAzzRTq/9QSkKa1ezUXMYgmofocAg/eJIM+f3rLMqz9/o/8OJNjrcDUDzNtTW6cOHXNaIg577gwLgZgQH6rqAIajWEQoM0i8+MjsDJI26Vl4g3dWz+1ZOT+PHjC+VrqryfJrs+oNq5j8B7V7NrjMhBfW5GyZDwyL13mHF82Un/D71qMlJAG7HVf7bw4r6286Kfv8ood80reW0/31+5jReec9TcXEza/2ga/0s/7Zi0x9UC/8RdEI1e9AHUtD9OVqP6dV7h5WuT6QJtKUmFwB4nFj57zizt+BxEyfq/V7Hj71t5qiWZ3+7Yb729cr/fuYQbNcZo9wF4P9DYmJ87XPIctz+bcOmP6gWKgp67qOOxvws3srg3eqUanzKLpP0i43rj2xr9isAEru/AUgYXj7/mtPHkQ5nkQ257JkFcn1+QZaj2Bj464Uek3FKcgmr/qBaqBDQ1V5DnZyq1RNlMQQ9NFzazkrjjSD13mFyoIKWxjZtR/3agIf0s3+u+ZfP77IbgGP+WldTspE+WYtfhCxHId3a4cPEEpySXIKZPEzzN14LqoAW1nv+yGXlKAbtEiwYgrr9nt7vtQ45P7Gug5ZYvwDg64Hl7xtQ/2NlFshrL/vosVExSfiNqWqwOoto/cZrRhXQv32AxPJkO4ZtEyQYgookcVul6o9GgVBR0Hd/v9NSamWTFTPsr5W/bUXttq+gvwXvvKf+OM/9DX5jsPjZpYYNR+ceWIPmGH/ji+r/C1qMHwN+alE7oJo8+BhD0D4DXXOm6vCtrSDoxgbNG2zSUuzUzM8fq94dEy1e3nAPuvJXM3tPfYbfFiye1+h/Js6MmwcJ4wjK4hu/ueFUV9sn90Snio47PmLWQoGBIWjul9fAksfIYuWo4nnZ/Qn41w3vfODG3LhKl/yriEX21KRzR07qwhGUxTceXF/70RzwxSTq1afVI5kQhqDM78ytnk5Npq/RXOyHiXPu4FdazvmvOU+fNZ2+aN63FSd14Qiq/RuPc2tuVyRYT1+cGLuFeSsFBIagzO/MpdDdnIdp7sG42G/DQvuL+LUqGOX9id9AjoePXDfbDP6oqUOHQgg4gr6d2brjEk2D39C35vJmBbZpAO6K0sU/ix6ybKowwBCU+Z25rIZrLq1y1XhhucT6FQA7+uHXKifdrwSUtTuk62oIltUwM/2Ym6pwBB045OKlocM1LEcnbugT89fRGpvBCd+adFq26gDOZSbmd+buDftg+H2NhR7JroO2xK9VzvpRo9sNn7RQ19WQ3OKqox9WAltqY6XuGpYjEzdkOlCrdqtWKRgxBGVzZ04rEser1NnJJ/i1yvm29tI/VtfmcZZhHEE7PQPgSRsNy5G35u55RYneD7UDv7W371RNRs/h3OpkfmcOwhHbjgFNXuhQrYxv7D5aH2G7Hqvs621JOlx7wKSruZnLQ8hynKd8DHaMjbWfo6mA+q253GyayPeV76W1w1+cq1vznujIq/0i9YdXGCdIQR+cKwQg59YX+FXiCXrCvmWTFho6hsLZ9NnXk7fMWYJT9LooItqB675pXU1jl1taQQogBd2iIE1boVDVy3fONjS17JUznjq8716/m/W08dTr0VuVc/+Yn2i8sqIEXWfqZv+jq3XDTvhVYgkqdT5P/ZrocG1Azg3Xx+BlY3SnEopugfXt/dywas1fNnAa3n9xjdEAvDGB9BnGGTT34NQ/mhOAR9FYRkWpzVYF9KGn9FHOSfdeU6nX4zcrZn7htWRyhXtyRgZKUKcr4LTJLp16EmMJ+sidmlzV+SQJfGnbwnYFVkmraLF0ubm2O60VKW0z/OB8Z6ycMmb0j7fJae0F0ILu93Rq6yHaoWn5SuuEtDS7NPUf1woB9V9X9rLTuA+cLoE/RIqzz9J61Hfra6MdS4cStD71Y1dft2EwWIIW1X1LnRTokBZXSd71HLyCtZMAuGZahFEynT5hmZSAU2lDyxegjRmkAFLQY+70TfRLTY9oKnCxVRpwrzS3QkDvd7GqN++d9S7P2o1/UMz615Wa3PRFNFywoAS1pf7pOJYN7xh01gfbVzti7asZ0qjBjIVOljjfrd30PnUj1nNhXliamJjBOlMhBW33m+zln201lsiLGSGqNPM/AS2WAhD5aZMa3srDa4ndPwCsGQprtZBBCWqTlZVlT/3T4XQGT1DpnuHj9XrgtL7Fp7EdJuCUvEft3os7aD1r+S9/n4QuRgpqJ//KSLR963dXfuBPpYBuq3EOnBYpj4S/dYwd0PAhtFUCBiWohRL8KnmSH1T6ZevApXgZe76w7+E6kpv7p0hBfeSdkJ4zyKlezlob6gzzs/JL0/e/0piKjKJ406ilXPdNrGJYPWmOwbBjfvL8p7sc1YQUNKF7HjUt6s8m4eqG9iMAGIPutl0WPCBlnKcunff5BxtBMYYd5/0vj3n9QgQpqCTWYfSSca6Ruj9pTkWGg9WTw6J/kSv++iG1W/hE2MNA2QiK7tvwha1Pg43MNyBAMK6D3tg0Y+0FXeqsvEtKt63VDuMEczv1QwvWT9FlW7yDjaDIvg2XPZ6CJ+663CYVPJiD5nRCwzHTbXucwcc33d+CUno4ooBhIyiyb4PsEcfTueloKRCqSFAwHut3Md5l0PsRwk67yuokCTXsOHUYNYnexmILgqOqBH1lj3Vad3vvZWbb5A16fF48AFmuK8+vcKtWmTCqSlCQoMMD0oUMl4IWDImgcVcNWLw/os2o6pWNrcoELQ7YqmGu8cFGUF93Ocr30h/20XRqVF7i4egOY6rH6FglVSYouGd/g1l1woKNoFl+yU9o1Gar4vnGbfnZzzlPs8Brqk5QkNqiOjx1jtUufs3Pmuaq4rmN7oUxVNMz1YyWKhQUjOqtw9V+oaLXk6RV9GWmGeQykxKOBS0bMFTYl5BwYCvovcqzVPG86PkcPPMwVMIQg1CVgoLCTqONPmM9W0GDKs+qEM81ti1thX0rWFfYCapr75t3vfsY+3GofgUFOdcw+78bC6wE1T3pv3j4h49B5qbdwn9+jzbYCqqhz5cAu9txBytB0b1vKiFd6fipeT0LK83pMYwAvZ4kVUNYCYrsfaOJc6ats0GQ0T7fiwjKLawEZZL0H1w2n+D8zb7aWK0TIERQbmF3kqTW++adqzxxgwNsnbemT8+3FtXDb6KwIIJyCytB3y2MOkj9iS6foZ76RiOB1tOjzOw6Hsduo6AggnILK0GjQ5MDtwOgPkAREdDS4S6NvypLa+H71btXB47jJAIQEkRQbmElqGMueOXxTFdBFUhP9a/zXnCXRv8dqvRS6FfyiaDcwu4y02sAUvtKmQlK4TKuuUdwzwrjp793cazP41yVOBBBuYWVoGts5wHpkBBztdm4AX1FnUzdGFfLOfZQrnzGU9Gf4FHjdLy1eQoRlFvYncVfPQJA2QH15zfiBrTMenpQxwnd76/rWbftvJ/yAEgbQs1dMQtvbZ5CBOWWKu0sok6runEjasRRL4p+nd+pTuD4KcHbJq+fqUOKCB5CBOUWQwpaXHdLp9AtygcwlZxbN9DUzM3ZbKeg+5MQQbnFkIJm13EcG2nfWDXjTPM+Tk1dGlo26jPz67OVRt8KA5KbiVsMKai05nxQ0qaJasY2WWaRyaV3v1s+vLVtvcCI2Uk/3xHYhVI95mZ6Nq3P3Go1HonGkIJm2gU42/RUDVkEV73eAWlP5ZCbNxfTlo3u1sRC9EH/Sat2n7kjjD2//nIzvXGfe3Ric2FEgTsM+gvaIONp9s6wCnOme40K6KXWV1T6/MKB9dOHdmxiWde7U+SkJUmHf7/zln7gZUCLRXjZKqsU/eVm+mo4NQk9yLx6QWLQs/hktwWTHa5UnHM5JV173tO8W2e+/WLeJ33aNrauKXKo16W/V8fkg79efYTTx1yybXBslYzl0V9upkWLqMl4bQ/jNlYMKii4uHglswfSlDx323kgaV7tUf07+7tZm9p4BXQOj5k4LzFpz/fplzMyKz+KYnKHtPUizh/rqwH95Wb62S8fZHlcqbSScWNYQVng/ODUz1l15YcDkjcZf/363fYvls6KHRwWHOhlb2li49IkqHPviNET4patTtq17werM7cykntXQbvYCFqpd5gcZTxniLo6YD06w5gQrKAfW7ftWDdY6+LsJ3cu//rDvuQNiXOmxUZ93L520Pte1mYmtW1cvPyDuoZ8HBEbOysuIfHLpN37jp5Mv3w5I+Nltpa85LrBRlD13mEFPl40dZ0U7x+fwnr2kFEhWEE71zU1tcIeOCJ1OUvt5ieBouwnGVcvnzq5b19SUmLi7LjPYodG9AnpHBTk5eVgU8fExNpG5EUZ3DokpE9ExOjYsXFx8xIT1yYlpe7bd/gkLfLl+xkZr7KztZ9LsxG0Uu+wfzNolqr/pFYnBCuoRezb7Hgz7FQlv4i6+bZ+iyyWm/0igzL4Qnxd05r9kpO2JCZ+Hhc3NTZ2ZEREeEhIcBBtspedjY2liYlJPRsbR+pdADUzJCRWWQOry0yae4dtHcO8SsEjWEFrHgXguin+8OXcXy7hpzV5WmPUoy/MU+GFcrKzX1K/b1eon9WTJ8vTcrMRVEvvMCKoNvgsqLPT5q2NrPCfxXN86sIH2IWX0I/D7d2aQbPYncVr7h1GBNUGnwVd0Tw8PGAmdvGZdWtZWmFfoplPPz4vXEOSDzR6yM1EBNUGnwWVbGzdagX2IWix+fTCR02wnwV833zs3hU1dOjbv6RPiuKVHlLfEEG1wXluJoNx0Zw6GNhaB7t8f1MTE3fs4VEllqbvmbjLXxNBuaWKczMZihdmNwAY6YQuKOeuy+uCsp5f4xbvWSMf3DCRh0EPuZmIoNrQNTdTQe8QGidn7asYiuZWgzvWXoZb+ttIavLVWNzijvSDTOt1kL3WQ4dlIqg2dM3NJD1zkmZ8Py5axi3Pe9dusAj7nP+cvwSACctxi/tbUyff5vJLoURQbtFHbibhB1TSo0/qZLdXuMVvmNp2ql2jUPaaCMotnOZmUmAEAS35cuTiLPzilxtZByp0JoJyiz4uM5GAcguJpzaYCuofJ2dWozYImrVEFGiFrKJxK0SBgPdRVXi2RhTw9UUUaN1M8ZHjPPUgKH48IQQ1YbEyMgAwmgSxWNkSlmSOoaCPExUsNQ9F0NAPUaC9NaoKmzaIAv5OqCpqdkMUaNwYUaCbhfIzr8hmFjRu4gnhAzsWKyMDAMP2AxYrm7+ARIahoOUUWKJKjEpBFLgSgKqi/e+IAnuGoKqwRT2eNX4RosAre9Q2uAAdTwg/d2exMjIAMEJOsli5NmxULxFUARGUCKoFImgFiKBqEEEVEEGJoFogglaACKoGW0GL66NKxO5EFLjxAaqK4AuIAvuHoaoQoUbWL0Xdxc/G7ofCBnQ8IaSHslgZGQAYvU6zWNm6BLKQraAAmUkoD9mjE1nFG9Qd9tJc1tsoLGRdBSew2YqUzfUvdAAgZOOPe6gM9COzFpRA0CdEUAKvIYISeA0RlMBriKAEXkMEJfAaIiiB1xBBCbyGpaB7m3qugi3P8oUXWushinkHKyCdKnKaLIFvZ0UUvCFeZubmB2AlLgQ6xpRCCiw2Nzc3C0B+WA5gvglkJOGgYggBFT0oK12cJkL/e9kJmunwKKcpJO32Wj93aKGrDbJyQuNhtXzv+yan+ffQ7VyyjoI2pFgkhTe1yO1aUbdUxGeZuwf1YTmA+SbQkYSCiiEErOhp46ooKz/oAGxldoKmRgMQP0/78p+T3aGFjlCzk6NgtVw7C8S9jsFK5LVKiII25KbH0FYrJJAShyIAKHwH/yy3hyE/LAcw3wQ6kjCQMYSAEz2tXHfNK2l/ELYyO0GXzgUgZSSkwBN3VKFXgQfhBRJr9pfCSsSkpUVBt3Gy6/2HLbdBSqzqG+QQkQtthbR3BvrDsofVJpCR1A4yhhAwogdhWm3rvtD/XnaCLqFrjoEUoAWFFZJu89iGquWyXyqkxO4RgAouqiE7IyAlFno/yB8wD1rFicEYH5Y9LDaBE0lt4MVQCxjR086ZoIu3eu6ErcxOULrWxXMgBWhBIYXKovo8g9fybToAG0ZCSoSL3O0sQ2FV/HkDgANDICU2jwdgVzj0swzfg/Fh2cN8E+hIQkDHEAJG9LQzawl1jDAQtjI7QV86Zxb6wA6NaUEhhQ52kyJq2RIsfttvA3w71LcfVmC/f3Zxrx2QEg+aZuSFJcCqKLbLxviw7GG+CXQk4SBiCAEdPQg7Wr7KHRYPW5nlZaY0Px/oxQVaUEihKeYWFhbRsFrEIz2cx4vh26GCCysgnebYaI4EViLVw3lMMazA0c6y7SA+LAcw3gQ6kogNw2MIAxk9CJJZzk4jCmArkwv1BF5DBCXwGiIogdcQQQm8hghK4DVEUAKvIYISeA0RlMBriKAEXkMEJfAaIiiB1xBBCbyGCErgNURQAq8hghJ4DRGUwGuIoAReQwQl8BoiKIHXEEEJvIYISuA1RFACr+GtoPe69dlg6DYQDA9vBZ19BnQwdBsIhqfKBS01adDAYVguteUGtra2q4FkhZ9dhxPUAvMGtnU73C0vlyf5NxxeU7qG5ZrmEYSMAQQtArmf9qK2nC97/2nIw7LTbgcoQfPB26iPVAWPhD2F14QhqCx/rjy1KwDSxQ1dlyieiJbwM/NPQKhKDCIoKHb4WyHoTYc8anrKq4wWFBz3LC93Yqak4mqSLPk/1TsMQWX5c+WpXal3h3xfPOvwy702fivAq0juPhBBrxhGUBCephB002h6KnV6SAuaN4x+Gupe57/EXidG9R4YRS9a79FoWtn5/i3j6H/SpZ4e02XvgExG2cIehwAIOi1//V9BZflz5aldqXez5gOwYfK0X0Dbgsk3qvQzGw7cAyp1kuMqvjPkgZOBBB29ThYyTzBjiWxu21PA3N7RstVt6nXSlampXZQPJ/3V72V+5KrzlrcA/e+4f05Rt+30K0CHTb4wNRrc95TIX8tC6W5CUwoUuctkqV2p6fZWb7K6D7rXNiDxztgq/tAGA/uAqpz9PvS02gsavkcRsrXjZHM9/5Ht4mUUg3mNLiqLz3cPDvYZdL4zAPS/mWsB+Hb4eVmuOSps8oVvHUqWLVIUVAulTFBZaleKsnGO3tGyH+zoZ/r8hHwC54BKGTMOxwAAHZ1JREFUdeREkyP7Wa3ugpY4/k8RsguutK+XRWKVoAAsGlT+MmExZZb4fBglKPVvxjoA9kXTrwAdNvlC0PeEf4aioAZB5aldKYoLKN8TqBdnF0pnt+j8WL+fkx+gD6hkx0uyw6O8cJH7d1SYxRNcWn4Sd5w6TI9Llk4T2Q8qTg+XLzMEBhH03fge5TudyAEvpBebbgcVBC10/aa8+GXvN+IBm5SCfh+YV9wjpVxQ+UKwJ7izsqCGXbw8tavklvh0k7yXno+o/5/wvCch4MDiKvzQBgN9QEUfL8kPj74cKPl9OBXmpK6Fb7wVgv4TXChudTo9XL7MEBhAUAcHx6E55YKK470d2hwGFQVNjJykKr+5iUts+S+odJGX55TSckHlC0H+e9uUBTX8gspTuxaZPJTOEflSR19g71fUCVNA8HP9fk5+gD6goo+X5IdH1xrOPi2lwjyYCtJyhaAg68TntsfTw+XLDAEP7yS9sb3d/+/Nhm6FcYA+oKK/7YpDpbdb+7WTng8bQp1RrpQJOj75QrNV58MpQeXLDPEJeCjotOFgr9U+Q7fCOEAfUNGCyg+PlkyTvrHKPh+2NaQo1y8uvbn4jUfysongmfvR9HD5MkN8Ah4KWiCmDhkN3QgjAX1AJTtekh0ePWrj5P4FfZI03i1g2erimCahi/Y9CGj+0cqg9HD5MkPAQ0EJBBVEUAKvIYISeA0RlMBriKAEXkMEJfAaIiiB1xBBCbwGKejFeSNj5lZ6Eu0+k2qM6XnO/xtIPLWBEnRl0/iUlMU+q9Vmbx3D8n9EyPQ8wXmVJJ7aQAnqkUtPC33UZisDWrp36RHD9HIxIERQbmElaGNZv97MFmqzFQEVdwyZ3ya8uhlKBOUWVoKmOUbPnRvj/K3abEVAd/cEoCyoug3hJYJyCytBQWbqkqUpmepzFQFdQPfQnmSYbi6GgwjKLewE1XwWrwjonh70L+hJ5m0TJERQbmElKPwsvrRzl7kfDiDHoKwhgmpD17N4yaF9NDG95G/LDiz7sbr5SQTlGE7P4guHR9C4u3DRMoFCBOUWfZzFD/Nm2Sghw0pQ6DF99UQfZ/FEUIaQO3OVYSeoZoigDEHcmauW6FPQws1TUsTMqhAubASF35mrnrAS1NddjtpshaBF/oPXhXUuY9E4IcJGUPidueoJK0Gz/JKf0KjNVgi6vR8A0vY/smmdAGF1kqR2TF/QK4TGvSn7ZgkWdrv4NRrvtCsEXUjf6pxY3Z7GwUbQdwuj6Fyl0eUz/jhJE9KYfbMEix6PQQ92KAPFPr8xq0OwsBE0OjQ5cDsAFmqzGZ10ihc28pxRyLwtfEGPgkoGtBjd9FNmVQgXNoI65oJXHs+4EXRej9v3B3zGvC18Qa+Xmc4k/8msBgHD6jLTawBS+0o5EdQrA4BsG+HfaSbXQTmGjaBrbOcB6ZAQc7XZjOLp8ow6ybIW/jUUIijHsDqLv3qE7mIzWW0uo3iOHV5YMmkQuhzf0a+gh5lVIGT00FmEkaD5UVZWA15z3pYqR6+Cimsyq0DI8EVQKvolHLfDIOj3F7SmUcRIJ/gjqHGgX0HrGyQxtEEhgnKLfgVtqH4X1PghgnKLPgbNqQL6/m2GzRIuehT0VlTrTx5xXjvP0cegOZWggZcZN0yo6E/Q585fXPjcM4fz6vmNPlLfqATteIZhs4SL/gTdSN82HqDeF8/Y0UfqG5WgoccYNku46E/QJQupyWdbOK+e3+h30NzH+xk3TKjoT9CzjV+ADJd/OK+e33A7aC43mybyfeX74dvYtE2Q6PEkaVUDH7uvOa+d57ASVHLgkHTHwPgC5ft3rjY0tRyUM8ZtYts+waHPy0x5/zOCDp46wkrQiUHt+/Y6NGyk2mzVLn7mCsYNEyrkOii3sBJUlF9ifRvkOqvNVgV00ULGDRMqRFBuYSWoS1aexSWQ2VBttiqgq6czbphQ0UNmESKoNpAX6kWu04MSOsWpzVYFdMtYxg0TKnrILAIX9PzqHQWw5QKH3Vn8lRvgzKwd6o/HVgV0ZzSobughswhU0CWNp/dvnMV8m3xHv51FDvZnVoOA0UNmEZigmXavAZiuvg8zIvQr6E89mNUgYPSQWQQm6G+dqMnRPsy3yXf0K+jv7ZnVIGC4zCxSGIPMt/rSPhuAWbNYbJPn6FfQq/7MahAwXF5mUmSs7uQFKbPg/fmDPStlwDQekILGKVA/tYSgEvRu9UvaUiXXQR8c/V/5698+T87nfJP8ASlocnLyJ80SVvgux69TGdCMMW2tnrFpnBBhIyg8W6CKpU593EcKPycDFji7+JbUYU5OAH6dioBmNkz40aJJHvO2CRI2gsKzBZZzw/0NKG5zgPl2hASOoM6FABS549epCOjm0aDMvO8+xk0TJqx28dBsgeWkfEJNVs5ksR0BgSPouK4HDoZMxK9TEdDF8QBYfLqZcdOECUrQcCX4VaoLeqIDNRlVTfJa4ggqTho8ZKsOubwVAT3t/RrYuNxk3jZBghI0XQl+leqCilsP2z3Vo5qM6MYRtGzVIPGmUvw6lQFdbPuB2RLGLRMoGLv44tPHjx8Nwq+y0knSuxVDF7zSrVmCBUfQqZE+ZQN0SPRZHtDXF9//m2nDhAqGoKNa2Ya7rcKvsjye94//y6xRnCCe6WAz8m1VbxVHUK/8YCBW71MHocI3vtVFZs0SLhiCNhJ/fuGpDncnlfGc5NLLcTHDZnHA/N5PX48eXNVbxRHULTMYvNaYyB/Zf7FzOqvWCRAMQR0Lj68GzfGrVMTzeMsCkO0061emLWOL9y0AiupW9XOFcARd18J9kfeXGpaj+y+G/cC2gUIDQ9ApwVneEwPxq1TEM34RkH5s16nFIANdom96hzp8rlvV6eCw7sWfmp/wl6bl6P6Lg6pbngEcQaX/gAvLHuJXqYhnUjT44cMeh8o+MFCygTl9X+V9FlHVW8URNF29R7ISdP/FkSnMmyZMMARNptHhBoYinm89p0e3bFEEZicybRs7iifZ1Il+U9VbxRE0yHPRA43L0f0Xq91jknAEjYuLG++hw9mOMp6Zc1t75QDQ9SDDpmkm8/fnnNYn486GPziqCWsXf2+Zf+ftmgqo9V985+tFU9exfM7sBC4aKSQwb3W+7o1fpeoLL24ftjK0ow6XpNGstG9vP4/LCmmGmNUza65tv6sbeP1BS04Ev6dhuTglP3dueEJx+YzHGTT9VGf8S+dz0UghgSmouAl+lRX2SOLtM3eIQe6SATM5+tm74pEJ3jbj+MrAabMLIKvOVE7qwhH0ULRD3z2a+hwO61b48YBdYbHqs1UBXTuFbQOFBoagkRTNYvCrVL+TVBI4+uBsV24Gym2cQE3iOb66OsGDmnzMTWd1HEF7pGq5f+BYBOzzQZ72cfEgqdo9qBdD0OMU6cXIYuWoC3o8mJqMWa9Ts7Sxj+60MuIrTuoqZ3VdahLIzXg0DEGztI4ZDLgOAh+CTPVbxRUCunsom8YJEZSgrEYoyEkZRU1WcjMOKb/pzBPxbhw/rqbAyntRiBk3yYsxBC1reUvL8gtuEX2ajW+yTW12hYAe1qFXmXGAEpTFCAUl/3N9BQo/4OgZVC+n9ZzE+ZME/u1o78dR7mKcXXw/q85hYWGaChQdWrVgc6VLUBUCerIbu+YJD4xdPMMRCipWOvR0QT8n9tlj/E3wFxxBz8vAr7NCQM+1YdYs4YIhKMMRChV4euI+aqVXnUUurTEUvdm3UShmjx7J9ctV/9wrffYHpbjux6xZwgVDUO0jFDhMHjZ0lkS6vBey2CuXrfd3irCeHfIiqFlAI877n8da1gqEjUrVa39QADJgQ7qNEgxBtY5QYJQ8TAuOmQAU10H+rOyMOvvlqQlYVwQiW9W1ao13ZJL/ef+peF1Xh5p0GVzDFlJAz/1BXzpCyhklSEF97obJ0LBIvfNNyULZCb9PfWryKwB343T46/o/cHe8JbJcz4Y+nzVr0AmnXutOk6cFmh3H2P5MZ9/+w5yf47TTvAsAp0zGay/3Aav+oJqpIGi+Ff5qxgFS0P05Wo/p1TvfiNcm0gQ2oCbnAHiYmJgQHXtQ8jCx/L32vxNbndrr2RVZblCNv8AvNXqj6zsHam9MTJxtegZZDjyMdaP+Tk7AaafpOOqvySfay7Vm0x9UCxUELTMbOVXbRSrjBO9Wp1TjkDdk55uy7sHzO/bEusktTQrusB594rC+t6OjfX+sRNjObnsOBVngdFiWXf3eiDUO2K5BCYg0hRRg1R9UCxUEnWyW9LmDLusKHgxBDw2XtrPS2M1L/akpclTx/K6TFEg7HAYXkn7hqNfyDx0kLyUf7cQpujAwrHfHITgl7zk/A0Ud0nCK/l3D1MxkAaQAZvIwzd94LagCmlvfLhNsxfpQxgKGoG6/p/d77YlfpSqeCbOpyezE8U1jA0PL4CuVrfsgaBn6566sS6/V/Vph3XcVz3a2+xTvSYwb7Ls3HIX3FSpLWgwdoIrVWUTrN14zqoD+08zjgSwH4/OzL/DXFzQYgookcVul6k+egKCK5+EOUiBpt6ZpIZCG7IKvtLzduYvdZ6ArL90x/Wsd+gVg8vznexzVhDVojvE3Xmzf+CaYNA3EO3Sw1+HenpDBELTPQNecqe3wq1TFUxLafm67sK2jqZerEPI1oQ79M22Fn2EMR1Dm33hwuGaHVkFvz76fDbK8/mTWQoGBIWjul9fAEh3uQ1aIZ+mcHvPKfg2iTpMiET2QRC8BKEJfB+U9OIIy/8YD0HHpbxKQMId6NW0tk/YJDgxBmd+Zk/TsOLd9r9LQ7msH+yIe7TF8UqlkgRGkBscRVPs3Hn1rLuxzaleTSl92GLCbTTsFA4agzO/MHe5IHYO2P1K6a+qXqEfPvOndwK6zEWRnxRH07czWHZdoCgj61tyvDSxcuxe89Zx3bFY1yRSKISjzO3Pys3jMcV7ZHPfyNAw4gg4ccvHS0OEaliPHxZe5nJ7fdthc8GxK6PSXrNopGHAuMzG+M6f4BWXUMIGClcCWOl4qddewHDku/rb3zS+CenQE0h/XnRD+CSUWGIIyvzNHHYPObx+q+U6SeH2viF/wKxUKOIJ2og5lnmjq2Im8NZdt5TKxX433JWFtpgQNqB6G4tzqZH5nTvLd0sNa7nSO6XFsp+uPOlQrDHCe8jHYMTbWfo6mAmq35oqnxNI0cVXOKKrV+fvkOlaTOkhAhYwt0sdVnp+i6kAK+uBcIQA5t77ArxLe3e7ynK9oZd9ZU2cJh9EdQIUGUtAtCrTeWQ1VvSxLSaJp46Gc8Xfz9R9FJQXUoW92zlRmxPyfr5vNx4Xsms1fUIKuM3Wz/9HVumEn/Cqhgn5iJnqvHvWF/5f+VfhLh5RkAgFn0NyDU/9ovqkbRWMZFaU2WxXQgnovAFg1clmts0Da4ahipt92UBxltE+XRAnqdAWcNtmlU9YNmKCPzE4DiVcI9crrByCJ5SZZAp9AC7rf06mth2iHpuUrrRPS0uzS1H9cKwR0ZaP4MU4Zpb4WE7p2V/RueCGiJleM76uuACVofeoQpz6io4caMEE3W1OTeXRIz7sFuXczvkt5SEGPudN5US411Xht42KrNOBeaW7FgP6++IvX1HGXn3lH5ZX+d/WKAfi5C9MG8x2UoPTwBh2HGcAE/cM8l9qm7DpK8SWuOmjwCaSg7X6TvfyzrcYSeTEjRJVmVgroG7fFC+u6KntqRQ+8dOx9rM6CQgQlqE1WVpY99U9j5hoGg+a8bGI7mMkuL93dstv4fkDRgtrJd0cSbd/63ZVTM1QKaEo0AF9bKm84FSwM6qotr+2Z9Ud02/3xDpSgFko0LGMyaK5kZKM2Z+kX34jGDmj4UJemCgKkoD7yIanPdc+priKRvkMXWg89ZDXWZ3LHjlU/9ppL2DxpDp2xWjtltneo89Fo5hvnKUhBE7rT+42i/gwSrpbzR+Ms8MJjqdNVxIqXmhYB0CcZf0s8hI2g6IzV2nlId9i9ZnyPP0cKKol1GL1knGuk7k+aq8Ay2za2q8Ehh9PwFbeNoCZfTMbfEg9hIyg6Y7V2xPWeApBU5Snk9Q7GddAbm2asvaBLnRoC+vo8PajpV4fvoCv+4VcKwGBhP92T1cNkUYPmYKxvGNrV/n/ocgIDc9CcTmgP6F8u8BwWH7df2r8Fqqcjv2ElqGbwBE2x/zDAAZmySXBUraDgkc9k2Fm69MD81CJmG+ULXApatk1+6xhnPFiZTQb1K2p86VirWFDwtnsvvJGrQoWNoL7ucpTviybIO9/gdG6utidJDIDukkone99mVq0wYCNoll/yExq12Vi7+NL6jwDYFMl84zylygWlDpYcDjCrVxCw2sWv+VnTXLxj0C2uc0aLjO+7bwBBwWWP6VX9SNKqw2AnSeDyso1G+BB5QwgKXvf9UPOj64wAtoJq6PDBKD+osWAQQYF0vSMic4tgYStoUOVZRFBtIAVlnrL6mu8g4xz3QQTlFlaCsklZXTTN+RBGMcHBVtCkyrOIoNpACcqw9830pv70w6h/bxpphCnvDHeSZJywEpRZ75sOliN7m22iXhTOsd/CzSNxeQQRlFtYCcqo902+6V0AJjvIXt/s8IGx5bwjgnILu5Mktd430h/20XRqBFvnojk1OVhbscYul+FPsRoqFIig3MJK0HcLow5Sf8q7cRcMiaBxh+YSlZhvpXbz7yvf5s2xXWhMQ2mIoNzCStDo0OTA7QCoD69BBHS5mUPd2n+r3j+OcVwn8C5MFSCCcgsrQR1zwSuPZ7oKCu7GK4R884nI83PqNOlmv4Ybuc+TbhiIoNzC7jLTawBS+0p1FbScfmOf3+ogu4p6pa/zKmpH/2Z2r88yMFfmKURQbmEl6BrbeUA6JMRcbTZuQAusS+ncD/I31wbbzXnkP+H4MmdhpwUmgnILu7P4q0cAKDugPsoNN6C59f+Yv/x4S+XbjAl1HS8CMGkF3to8hQjKLYbpLKLAu178uFqxqvdbWrk2iU+cxmyrPIGVoBw+jttYMKSgknpdatfpWSF94926oraWpj10GkLKN9gIyuXjuI0FQwqa2cC9VZOACk+U/18D2w4OTpFNvD9/yGzLPMBQmUWMFYPu4musA9JuFYYsbh/++uzTdVPA+fEObdf9y2zjhsZQmUWMFUMK+traYfTHDhV+QU+1lgIwhn7gV+mJUXatVwjxQd6GyixirBhSUHHd60m7vwtWzSjr9PGOSR6KjsylJye4NZ78k7Z7TNKUbp038DATnh4zi/zyYf2Ogj4+Z4JBd/HTOh7Z6V4xG07R+phFFR8/dXV5h7o9V1/R1CdvfeBPpzrMw26TdPfwCdexS7OAjaDqfRsUKOJ5R3Ts7V6n58yrFyQGFbTsqz6DNA60rUDud+O9bfuvv6z+bMtmNwB4bo/dphmtt690/AO7OHPYCKret0F6+iRNSGPZu9XTqUmMxlzsRoxBBcXlWdpYH+tu83+ouPNzvHdw/3Mr3OHLhdZvAfimH8ft0gQbQdX7NhR8FELjIc/NKsuy+snXbBsoMAQhKE32jwt62LgPXHZCMUykd93grnU/xF37AX2t4LKGAWmcw+oyk+a+DVvHyP7ccL4EfhXp8Bhvo0AwgtJI7+6Z0a2BqPv01Iv5rS1q1qrVGHdNiRN1djFzvA7busUw0TMbQbX0bVAICg541WqOOiIyOgQlqJwnxxKHBVqaesXETzDDfh7YccewD1riP/53eQ0z076MWsfqLF5z3waloAAIOzs6IwQoqAyJ+YK1Y1ubWDTuOXbFt+efo58D+vrH3/AvSv1tthlcqLWMScP0kFlEJWg1RKiCAne75Std6hXfPrZ5RsSHolqeHYdOX5f22518LcUL5vi0O4hd+Wx60MqAlshyGtBD4gYiqDb4LOhWz77h7y9Xviu+/9s3q6ZEdmxqZenZps/I2Wu2f3/uTlaF66fd3vMRvfcNbuXLG1CTEM2PhkJABOUWQ6W+Yc/BAeG7NOzZC+7/ceTrZVNjerdpYmta3zOg64CRkxeuXm+65OxfnVy1/b6qk1nTp3tbM/xf3D9c6zRT9B3QQ2YRIqg29Jn6pkrIzvjrlwMp6xZNDzft1d7f3tTKpJ6jl/+HIR9FjIydGbc8cUtS2r4fTqZfvnwn40F2tmpwqSTgPfPa9V/ibuayiWNXK3O5/XrosEwE1YbOqW/ys2kieSNoOe/MtoPi9k0AePsi4+qfJ4/uS0lakTg7bmzs4IjeIZ2Dgpp6edrY1DExqWVjY+Pl5dXIMigo2LVRSHhERESkLA13nIyERJrVSXJS9ylwtzz5V5n5aNmWiKDcwmnqm3dONjQWLly0jFs+thJZvfcjslhxdvabjIyMlT0uX06f/NHJw5R938pklJmZKNd0eqycEREKatcNGQ+sO8pqIIJyiz5S3/AxoKUbug78Dbv0PedMUBqyDbd4b/M31G5+g+w1EZRbOE19o8AIArraMbxxBHZis7I6phYmirtaRFBu0cdlJmMI6MPD13QpvvZj5W6ECMotehE0JlvBswfVhZfKj9xVD4JWw3iW01kPgn5no8TEFAGyALpElVSBpvwzX2QWNG7iqe9PWfUbNoF14mUoaDkFlqgSo1IQBa4EoKpo/zuiwJ4hqCpsUb1I4hchCrzC7zrNAnQ8IfzcncXKyADACDnJYuXasLxyRFAFRFAiqBaIoBUggqpBBFVABCWCaoEIWgEiqBpEUAVEUOMUVDITVWL3X4gCWQmoKtag8one3IaqYg5qKMUJ1FCgkjmobXABOp4QHm5ksTIyADA2PGKx8kzY/Ty2ghIIeoUISuA1RFACryGCEngNEZTAa4igBF5DBCXwGiIogdcQQQm8hqWge5t6roItz/KFF1rrIYp5BysgnSpymiyBb2dFFLwhXmbm5gdgJS4EOsaUQgosNjc3NwtAflgOYL4JZCThoGIIARU9KCtdnCZC/3vZCZrp8CinaaW0IyrW+rlDC11tkJUTGg+r5XvfNznNv4du55J1FLQhxSIpvKlFbteKuqUiPsvcPagPywHMN4GOJBRUDCFgRU8bV0VZ+UEHYCuzEzQ1GoB4SBb5n5PdoYWOULOTo2C1XDsLxL2OwUrktUqIgjbkpsfQViskkBKHIgAofAf/LLeHIT8sBzDfBDqSMJAxhIATPa1cd80raX8QtjI7QZfOBSBlJKTAE3dUoVeBB+EFEmv2l8JKxKSlRUG3cbLr/Yctt0FKrOob5BCRC22FtHcG+sOyh9UmkJHUDjKGEDCiB2Fabeu+0P9edoIuoWuOgRSgBYUVkm7z2Iaq5bJfKqTE7hGACi6qITsjICUWej/IHzAPWsWJwRgflj0sNoETSW3gxVALGNHTzpmgi7d67oStzE5QutbFsG5otKCQQmVRfZ7Ba/k2HYANIyElwkXudpahsCr+vAHAgSGQEpvHA7ArHPpZhu/B+LDsYb4JdCQhoGMIASN62pm1hDpGGAhbmZ2gL50zC31gh8a0oJBCB7tJEbVsCRa/7bcBvh3q2w8rsN8/u7jXDkiJB00z8sISYFUU22VjfFj2MN8EOpJwEDGEgI4ehB0tX+UOi4etzPIyU5qfD/TiAi0opNAUcwsLi2hYLeKRHs7jxfDtUMGFFZBOc2w0RwIrkerhPKYYVuBoZ9l2EB+WAxhvAh1JxIbhMYSBjB4EySxnpxEFsJXJhXoCryGCEngNEZTAa4igBF5DBCXwGiIogdcQQQm8hghK4DVEUAKvIYISeA0RlMBriKAEXkMEJfAaIiiB1xBBCbyGCErgNURQAq8hghJ4jXAE7W1rY2Jr+6mhm2E0CCSewhEUgCwrarLfx9DNMBoEEU/BCZpz19DNMBoEEU/BCXo+7HzYyA6fLunr+wys92g0rczQrRIugoinEAWtm1dqmwxmfPGr38v8SH0PBDZiBBFPIQoaAoD/I7Axfr57cLDPIEO3SrgIIp5CFLQnFdAnVEATFgNQJjZ0q4SLIOIpZEEve78RD9hk6FYJF0HEU8iCgs1NXGL59o0XEIKIp5AE/S8SvoVS4PA0nsIVlFAtIIISeA0RlMBriKAEXkMEJfAaIiiB1xBBCbyGCErgNURQAq8hghJ4DRGUwGuIoAReQwQl8BoiKIHXEEEJvIYISuA1/wfJEcl6zRHoQAAAAABJRU5ErkJggg==" /><!-- --></p> +<pre class="r"><code>print(p16)</code></pre> +<pre><code>## Sums of squares: +## SFO IORE DFOP +## 3831.804 2062.008 1550.980 +## +## Critical sum of squares for checking the SFO model: +## [1] 2247.348 +## +## Parameters: +## $SFO +## Estimate Pr(>t) Lower Upper +## parent_0 71.953 2.33e-13 60.509 83.40 +## k_parent_sink 0.159 4.86e-05 0.102 0.25 +## sigma 11.302 1.25e-08 8.308 14.30 +## +## $IORE +## Estimate Pr(>t) Lower Upper +## parent_0 8.74e+01 2.48e-16 7.72e+01 97.52972 +## k__iore_parent_sink 4.55e-04 2.16e-01 3.48e-05 0.00595 +## N_parent 2.70e+00 1.21e-08 1.99e+00 3.40046 +## sigma 8.29e+00 1.61e-08 6.09e+00 10.49062 +## +## $DFOP +## Estimate Pr(>t) Lower Upper +## parent_0 88.5333 7.40e-18 79.9836 97.083 +## k1 18.6317 5.00e-01 0.0000 Inf +## k2 0.0776 1.41e-05 0.0518 0.116 +## g 0.4733 1.41e-09 0.3674 0.582 +## sigma 7.1902 2.11e-08 5.2785 9.102 +## +## +## DTx values: +## DT50 DT90 DT50_rep +## SFO 4.35 14.4 4.35 +## IORE 1.48 32.1 9.67 +## DFOP 0.67 21.4 8.93 +## +## Representative half-life: +## [1] 8.932679</code></pre> +<p>In PestDF, the DFOP fit seems to have stuck in a local minimum, as mkin finds a solution with a much lower <span class="math inline"><em>χ</em><sup>2</sup></span> error level. As the half-life from the slower rate constant of the DFOP model is larger than the IORE derived half-life, the NAFTA recommendation obtained with mkin is to use the DFOP representative half-life of 8.9 days.</p> +</div> +<div id="conclusions" class="section level1"> +<h1>Conclusions</h1> +<p>The results obtained with mkin deviate from the results obtained with PestDF either in cases where one of the interpretive rules would apply, i.e. the IORE parameter N is less than one or the DFOP k values obtained with PestDF are equal to the SFO k values, or in cases where the DFOP model did not converge, which often lead to negative rate constants returned by PestDF.</p> +<p>Therefore, mkin appears to suitable for kinetic evaluations according to the NAFTA guidance.</p> +</div> +<div id="references" class="section level1 unnumbered"> +<h1>References</h1> +<div id="refs" class="references"> +<div id="ref-usepa2015"> +<p>US EPA. 2015. “Standard Operating Procedure for Using the NAFTA Guidance to Calculate Representative Half-Life Values and Characterizing Pesticide Degradation.”</p> +</div> +</div> +</div> + + + +</div> +</div> + +</div> + +<script> + +// add bootstrap table styles to pandoc tables +function bootstrapStylePandocTables() { + $('tr.header').parent('thead').parent('table').addClass('table table-condensed'); +} +$(document).ready(function () { + bootstrapStylePandocTables(); +}); + + +</script> + + +</body> +</html> diff --git a/vignettes/web_only/benchmarks.Rmd b/vignettes/web_only/benchmarks.Rmd new file mode 100644 index 00000000..83381717 --- /dev/null +++ b/vignettes/web_only/benchmarks.Rmd @@ -0,0 +1,90 @@ +--- +title: "Benchmark timings for mkin on various systems" +author: "Johannes Ranke" +output: + html_document: + toc: true + toc_float: true + code_folding: show + fig_retina: null +date: "`r Sys.Date()`" +vignette: > + %\VignetteEngine{knitr::rmarkdown} + %\VignetteEncoding{UTF-8} +--- + +```{r, include = FALSE} +library(knitr) +opts_chunk$set(tidy = FALSE, cache = FALSE) +library("mkin") +``` + +## Systems + +Each system is characterized by its CPU type, the operating system type and the +mkin version. + +```{r} +cpu_model <- benchmarkme::get_cpu()$model_name +operating_system <- Sys.info()[["sysname"]] +mkin_version <- as.character(packageVersion("mkin")) +system_string <- paste0(operating_system, ", ", cpu_model, ", mkin version ", mkin_version) +load("~/git/mkin/inst/benchmark_data/mkin_benchmarks.rda") +mkin_benchmarks[system_string, c("CPU", "OS", "mkin")] <- c(cpu_model, operating_system, mkin_version) + +if (mkin_version > "0.9.48.1") { + mmkin_bench <- function(models, datasets, error_model = "const") mmkin(models, datasets, error_model = error_model, cores = 1, quiet = TRUE) +} else { + mmkin_bench <- function(models, datasets, error_model = NULL) mmkin(models, datasets, reweight.method = error_model, cores = 1, quiet = TRUE) +} +``` + +```{r timings} +# Parent only +t1 <- system.time(mmkin_bench(c("SFO", "FOMC", "DFOP", "HS"), list(FOCUS_2006_C, FOCUS_2006_D)))[["elapsed"]] +t2 <- system.time(mmkin_bench(c("SFO", "FOMC", "DFOP", "HS"), list(FOCUS_2006_C, FOCUS_2006_D), error_model = "tc"))[["elapsed"]] + +# One metabolite +SFO_SFO <- mkinmod( + parent = mkinsub("SFO", "m1"), + m1 = mkinsub("SFO")) +FOMC_SFO <- mkinmod( + parent = mkinsub("FOMC", "m1"), + m1 = mkinsub("SFO")) +DFOP_SFO <- mkinmod( + parent = mkinsub("FOMC", "m1"), + m1 = mkinsub("SFO")) +t3 <- system.time(mmkin_bench(list(SFO_SFO, FOMC_SFO, DFOP_SFO), list(FOCUS_2006_D)))[["elapsed"]] +t4 <- system.time(mmkin_bench(list(SFO_SFO, FOMC_SFO, DFOP_SFO), list(subset(FOCUS_2006_D, value != 0)), error_model = "tc"))[["elapsed"]] +t5 <- system.time(mmkin_bench(list(SFO_SFO, FOMC_SFO, DFOP_SFO), list(FOCUS_2006_D), error_model = "obs"))[["elapsed"]] + +# Two metabolites, synthetic data +m_synth_SFO_lin <- mkinmod(parent = mkinsub("SFO", "M1"), + M1 = mkinsub("SFO", "M2"), + M2 = mkinsub("SFO"), + use_of_ff = "max", quiet = TRUE) + +m_synth_DFOP_par <- mkinmod(parent = mkinsub("DFOP", c("M1", "M2")), + M1 = mkinsub("SFO"), + M2 = mkinsub("SFO"), + use_of_ff = "max", quiet = TRUE) + +SFO_lin_a <- synthetic_data_for_UBA_2014[[1]]$data + +DFOP_par_c <- synthetic_data_for_UBA_2014[[12]]$data + +t6 <- system.time(mmkin_bench(list(m_synth_SFO_lin), list(SFO_lin_a)))["elapsed"] +t7 <- system.time(mmkin_bench(list(m_synth_DFOP_par), list(DFOP_par_c)))["elapsed"] + +t8 <- system.time(mmkin_bench(list(m_synth_SFO_lin), list(SFO_lin_a), error_model = "tc"))["elapsed"] +t9 <- system.time(mmkin_bench(list(m_synth_DFOP_par), list(DFOP_par_c), error_model = "tc"))["elapsed"] + +t10 <- system.time(mmkin_bench(list(m_synth_SFO_lin), list(SFO_lin_a), error_model = "obs"))["elapsed"] +t11 <- system.time(mmkin_bench(list(m_synth_DFOP_par), list(DFOP_par_c), error_model = "obs"))["elapsed"] + +mkin_benchmarks[system_string, paste0("t", 1:11)] <- c(t1, t2, t3, t4, t5, t6, t7, t8, t9, t10, t11) +mkin_benchmarks + + +save(mkin_benchmarks, file = "~/git/mkin/inst/benchmark_data/mkin_benchmarks.rda") +``` diff --git a/vignettes/web_only/benchmarks.html b/vignettes/web_only/benchmarks.html new file mode 100644 index 00000000..b35a9695 --- /dev/null +++ b/vignettes/web_only/benchmarks.html @@ -0,0 +1,1817 @@ +<!DOCTYPE html> + +<html xmlns="http://www.w3.org/1999/xhtml"> + +<head> + +<meta charset="utf-8" /> +<meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> +<meta name="generator" content="pandoc" /> + + +<meta name="author" content="Johannes Ranke" /> + +<meta name="date" content="2019-04-09" /> + +<title>Benchmark timings for mkin on various systems</title> + +<script>/*! jQuery v1.11.3 | (c) 2005, 2015 jQuery Foundation, Inc. | jquery.org/license */ +!function(a,b){"object"==typeof module&&"object"==typeof module.exports?module.exports=a.document?b(a,!0):function(a){if(!a.document)throw new Error("jQuery requires a window with a document");return b(a)}:b(a)}("undefined"!=typeof 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) 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t(e,t,i){return[parseFloat(e[0])*(p.test(e[0])?t/100:1),parseFloat(e[1])*(p.test(e[1])?i/100:1)]}function i(t,i){return parseInt(e.css(t,i),10)||0}function s(t){var i=t[0];return 9===i.nodeType?{width:t.width(),height:t.height(),offset:{top:0,left:0}}:e.isWindow(i)?{width:t.width(),height:t.height(),offset:{top:t.scrollTop(),left:t.scrollLeft()}}:i.preventDefault?{width:0,height:0,offset:{top:i.pageY,left:i.pageX}}:{width:t.outerWidth(),height:t.outerHeight(),offset:t.offset()}}e.ui=e.ui||{};var n,a,o=Math.max,r=Math.abs,h=Math.round,l=/left|center|right/,u=/top|center|bottom/,d=/[\+\-]\d+(\.[\d]+)?%?/,c=/^\w+/,p=/%$/,f=e.fn.position;e.position={scrollbarWidth:function(){if(void 0!==n)return n;var t,i,s=e("<div style='display:block;position:absolute;width:50px;height:50px;overflow:hidden;'><div style='height:100px;width:auto;'></div></div>"),a=s.children()[0];return e("body").append(s),t=a.offsetWidth,s.css("overflow","scroll"),i=a.offsetWidth,t===i&&(i=s[0].clientWidth),s.remove(),n=t-i},getScrollInfo:function(t){var i=t.isWindow||t.isDocument?"":t.element.css("overflow-x"),s=t.isWindow||t.isDocument?"":t.element.css("overflow-y"),n="scroll"===i||"auto"===i&&t.width<t.element[0].scrollWidth,a="scroll"===s||"auto"===s&&t.height<t.element[0].scrollHeight;return{width:a?e.position.scrollbarWidth():0,height:n?e.position.scrollbarWidth():0}},getWithinInfo:function(t){var i=e(t||window),s=e.isWindow(i[0]),n=!!i[0]&&9===i[0].nodeType;return{element:i,isWindow:s,isDocument:n,offset:i.offset()||{left:0,top:0},scrollLeft:i.scrollLeft(),scrollTop:i.scrollTop(),width:s||n?i.width():i.outerWidth(),height:s||n?i.height():i.outerHeight()}}},e.fn.position=function(n){if(!n||!n.of)return f.apply(this,arguments);n=e.extend({},n);var p,m,g,v,y,b,_=e(n.of),x=e.position.getWithinInfo(n.within),w=e.position.getScrollInfo(x),k=(n.collision||"flip").split(" "),T={};return b=s(_),_[0].preventDefault&&(n.at="left top"),m=b.width,g=b.height,v=b.offset,y=e.extend({},v),e.each(["my","at"],function(){var e,t,i=(n[this]||"").split(" ");1===i.length&&(i=l.test(i[0])?i.concat(["center"]):u.test(i[0])?["center"].concat(i):["center","center"]),i[0]=l.test(i[0])?i[0]:"center",i[1]=u.test(i[1])?i[1]:"center",e=d.exec(i[0]),t=d.exec(i[1]),T[this]=[e?e[0]:0,t?t[0]:0],n[this]=[c.exec(i[0])[0],c.exec(i[1])[0]]}),1===k.length&&(k[1]=k[0]),"right"===n.at[0]?y.left+=m:"center"===n.at[0]&&(y.left+=m/2),"bottom"===n.at[1]?y.top+=g:"center"===n.at[1]&&(y.top+=g/2),p=t(T.at,m,g),y.left+=p[0],y.top+=p[1],this.each(function(){var s,l,u=e(this),d=u.outerWidth(),c=u.outerHeight(),f=i(this,"marginLeft"),b=i(this,"marginTop"),D=d+f+i(this,"marginRight")+w.width,S=c+b+i(this,"marginBottom")+w.height,N=e.extend({},y),M=t(T.my,u.outerWidth(),u.outerHeight());"right"===n.my[0]?N.left-=d:"center"===n.my[0]&&(N.left-=d/2),"bottom"===n.my[1]?N.top-=c:"center"===n.my[1]&&(N.top-=c/2),N.left+=M[0],N.top+=M[1],a||(N.left=h(N.left),N.top=h(N.top)),s={marginLeft:f,marginTop:b},e.each(["left","top"],function(t,i){e.ui.position[k[t]]&&e.ui.position[k[t]][i](N,{targetWidth:m,targetHeight:g,elemWidth:d,elemHeight:c,collisionPosition:s,collisionWidth:D,collisionHeight:S,offset:[p[0]+M[0],p[1]+M[1]],my:n.my,at:n.at,within:x,elem:u})}),n.using&&(l=function(e){var t=v.left-N.left,i=t+m-d,s=v.top-N.top,a=s+g-c,h={target:{element:_,left:v.left,top:v.top,width:m,height:g},element:{element:u,left:N.left,top:N.top,width:d,height:c},horizontal:0>i?"left":t>0?"right":"center",vertical:0>a?"top":s>0?"bottom":"middle"};d>m&&m>r(t+i)&&(h.horizontal="center"),c>g&&g>r(s+a)&&(h.vertical="middle"),h.important=o(r(t),r(i))>o(r(s),r(a))?"horizontal":"vertical",n.using.call(this,e,h)}),u.offset(e.extend(N,{using:l}))})},e.ui.position={fit:{left:function(e,t){var i,s=t.within,n=s.isWindow?s.scrollLeft:s.offset.left,a=s.width,r=e.left-t.collisionPosition.marginLeft,h=n-r,l=r+t.collisionWidth-a-n;t.collisionWidth>a?h>0&&0>=l?(i=e.left+h+t.collisionWidth-a-n,e.left+=h-i):e.left=l>0&&0>=h?n:h>l?n+a-t.collisionWidth:n:h>0?e.left+=h:l>0?e.left-=l:e.left=o(e.left-r,e.left)},top:function(e,t){var i,s=t.within,n=s.isWindow?s.scrollTop:s.offset.top,a=t.within.height,r=e.top-t.collisionPosition.marginTop,h=n-r,l=r+t.collisionHeight-a-n;t.collisionHeight>a?h>0&&0>=l?(i=e.top+h+t.collisionHeight-a-n,e.top+=h-i):e.top=l>0&&0>=h?n:h>l?n+a-t.collisionHeight:n:h>0?e.top+=h:l>0?e.top-=l:e.top=o(e.top-r,e.top)}},flip:{left:function(e,t){var i,s,n=t.within,a=n.offset.left+n.scrollLeft,o=n.width,h=n.isWindow?n.scrollLeft:n.offset.left,l=e.left-t.collisionPosition.marginLeft,u=l-h,d=l+t.collisionWidth-o-h,c="left"===t.my[0]?-t.elemWidth:"right"===t.my[0]?t.elemWidth:0,p="left"===t.at[0]?t.targetWidth:"right"===t.at[0]?-t.targetWidth:0,f=-2*t.offset[0];0>u?(i=e.left+c+p+f+t.collisionWidth-o-a,(0>i||r(u)>i)&&(e.left+=c+p+f)):d>0&&(s=e.left-t.collisionPosition.marginLeft+c+p+f-h,(s>0||d>r(s))&&(e.left+=c+p+f))},top:function(e,t){var i,s,n=t.within,a=n.offset.top+n.scrollTop,o=n.height,h=n.isWindow?n.scrollTop:n.offset.top,l=e.top-t.collisionPosition.marginTop,u=l-h,d=l+t.collisionHeight-o-h,c="top"===t.my[1],p=c?-t.elemHeight:"bottom"===t.my[1]?t.elemHeight:0,f="top"===t.at[1]?t.targetHeight:"bottom"===t.at[1]?-t.targetHeight:0,m=-2*t.offset[1];0>u?(s=e.top+p+f+m+t.collisionHeight-o-a,(0>s||r(u)>s)&&(e.top+=p+f+m)):d>0&&(i=e.top-t.collisionPosition.marginTop+p+f+m-h,(i>0||d>r(i))&&(e.top+=p+f+m))}},flipfit:{left:function(){e.ui.position.flip.left.apply(this,arguments),e.ui.position.fit.left.apply(this,arguments)},top:function(){e.ui.position.flip.top.apply(this,arguments),e.ui.position.fit.top.apply(this,arguments)}}},function(){var t,i,s,n,o,r=document.getElementsByTagName("body")[0],h=document.createElement("div");t=document.createElement(r?"div":"body"),s={visibility:"hidden",width:0,height:0,border:0,margin:0,background:"none"},r&&e.extend(s,{position:"absolute",left:"-1000px",top:"-1000px"});for(o in s)t.style[o]=s[o];t.appendChild(h),i=r||document.documentElement,i.insertBefore(t,i.firstChild),h.style.cssText="position: absolute; left: 10.7432222px;",n=e(h).offset().left,a=n>10&&11>n,t.innerHTML="",i.removeChild(t)}()}(),e.ui.position,e.widget("ui.draggable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"drag",options:{addClasses:!0,appendTo:"parent",axis:!1,connectToSortable:!1,containment:!1,cursor:"auto",cursorAt:!1,grid:!1,handle:!1,helper:"original",iframeFix:!1,opacity:!1,refreshPositions:!1,revert:!1,revertDuration:500,scope:"default",scroll:!0,scrollSensitivity:20,scrollSpeed:20,snap:!1,snapMode:"both",snapTolerance:20,stack:!1,zIndex:!1,drag:null,start:null,stop:null},_create:function(){"original"===this.options.helper&&this._setPositionRelative(),this.options.addClasses&&this.element.addClass("ui-draggable"),this.options.disabled&&this.element.addClass("ui-draggable-disabled"),this._setHandleClassName(),this._mouseInit()},_setOption:function(e,t){this._super(e,t),"handle"===e&&(this._removeHandleClassName(),this._setHandleClassName())},_destroy:function(){return(this.helper||this.element).is(".ui-draggable-dragging")?(this.destroyOnClear=!0,void 0):(this.element.removeClass("ui-draggable ui-draggable-dragging ui-draggable-disabled"),this._removeHandleClassName(),this._mouseDestroy(),void 0)},_mouseCapture:function(t){var i=this.options;return this._blurActiveElement(t),this.helper||i.disabled||e(t.target).closest(".ui-resizable-handle").length>0?!1:(this.handle=this._getHandle(t),this.handle?(this._blockFrames(i.iframeFix===!0?"iframe":i.iframeFix),!0):!1)},_blockFrames:function(t){this.iframeBlocks=this.document.find(t).map(function(){var t=e(this);return e("<div>").css("position","absolute").appendTo(t.parent()).outerWidth(t.outerWidth()).outerHeight(t.outerHeight()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_blurActiveElement:function(t){var i=this.document[0];if(this.handleElement.is(t.target))try{i.activeElement&&"body"!==i.activeElement.nodeName.toLowerCase()&&e(i.activeElement).blur()}catch(s){}},_mouseStart:function(t){var i=this.options;return this.helper=this._createHelper(t),this.helper.addClass("ui-draggable-dragging"),this._cacheHelperProportions(),e.ui.ddmanager&&(e.ui.ddmanager.current=this),this._cacheMargins(),this.cssPosition=this.helper.css("position"),this.scrollParent=this.helper.scrollParent(!0),this.offsetParent=this.helper.offsetParent(),this.hasFixedAncestor=this.helper.parents().filter(function(){return"fixed"===e(this).css("position")}).length>0,this.positionAbs=this.element.offset(),this._refreshOffsets(t),this.originalPosition=this.position=this._generatePosition(t,!1),this.originalPageX=t.pageX,this.originalPageY=t.pageY,i.cursorAt&&this._adjustOffsetFromHelper(i.cursorAt),this._setContainment(),this._trigger("start",t)===!1?(this._clear(),!1):(this._cacheHelperProportions(),e.ui.ddmanager&&!i.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t),this._normalizeRightBottom(),this._mouseDrag(t,!0),e.ui.ddmanager&&e.ui.ddmanager.dragStart(this,t),!0)},_refreshOffsets:function(e){this.offset={top:this.positionAbs.top-this.margins.top,left:this.positionAbs.left-this.margins.left,scroll:!1,parent:this._getParentOffset(),relative:this._getRelativeOffset()},this.offset.click={left:e.pageX-this.offset.left,top:e.pageY-this.offset.top}},_mouseDrag:function(t,i){if(this.hasFixedAncestor&&(this.offset.parent=this._getParentOffset()),this.position=this._generatePosition(t,!0),this.positionAbs=this._convertPositionTo("absolute"),!i){var s=this._uiHash();if(this._trigger("drag",t,s)===!1)return this._mouseUp({}),!1;this.position=s.position}return this.helper[0].style.left=this.position.left+"px",this.helper[0].style.top=this.position.top+"px",e.ui.ddmanager&&e.ui.ddmanager.drag(this,t),!1},_mouseStop:function(t){var i=this,s=!1;return e.ui.ddmanager&&!this.options.dropBehaviour&&(s=e.ui.ddmanager.drop(this,t)),this.dropped&&(s=this.dropped,this.dropped=!1),"invalid"===this.options.revert&&!s||"valid"===this.options.revert&&s||this.options.revert===!0||e.isFunction(this.options.revert)&&this.options.revert.call(this.element,s)?e(this.helper).animate(this.originalPosition,parseInt(this.options.revertDuration,10),function(){i._trigger("stop",t)!==!1&&i._clear()}):this._trigger("stop",t)!==!1&&this._clear(),!1},_mouseUp:function(t){return this._unblockFrames(),e.ui.ddmanager&&e.ui.ddmanager.dragStop(this,t),this.handleElement.is(t.target)&&this.element.focus(),e.ui.mouse.prototype._mouseUp.call(this,t)},cancel:function(){return this.helper.is(".ui-draggable-dragging")?this._mouseUp({}):this._clear(),this},_getHandle:function(t){return this.options.handle?!!e(t.target).closest(this.element.find(this.options.handle)).length:!0},_setHandleClassName:function(){this.handleElement=this.options.handle?this.element.find(this.options.handle):this.element,this.handleElement.addClass("ui-draggable-handle")},_removeHandleClassName:function(){this.handleElement.removeClass("ui-draggable-handle")},_createHelper:function(t){var i=this.options,s=e.isFunction(i.helper),n=s?e(i.helper.apply(this.element[0],[t])):"clone"===i.helper?this.element.clone().removeAttr("id"):this.element;return n.parents("body").length||n.appendTo("parent"===i.appendTo?this.element[0].parentNode:i.appendTo),s&&n[0]===this.element[0]&&this._setPositionRelative(),n[0]===this.element[0]||/(fixed|absolute)/.test(n.css("position"))||n.css("position","absolute"),n},_setPositionRelative:function(){/^(?:r|a|f)/.test(this.element.css("position"))||(this.element[0].style.position="relative")},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),e.isArray(t)&&(t={left:+t[0],top:+t[1]||0}),"left"in t&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_isRootNode:function(e){return/(html|body)/i.test(e.tagName)||e===this.document[0]},_getParentOffset:function(){var t=this.offsetParent.offset(),i=this.document[0];return"absolute"===this.cssPosition&&this.scrollParent[0]!==i&&e.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),this._isRootNode(this.offsetParent[0])&&(t={top:0,left:0}),{top:t.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"!==this.cssPosition)return{top:0,left:0};var e=this.element.position(),t=this._isRootNode(this.scrollParent[0]);return{top:e.top-(parseInt(this.helper.css("top"),10)||0)+(t?0:this.scrollParent.scrollTop()),left:e.left-(parseInt(this.helper.css("left"),10)||0)+(t?0:this.scrollParent.scrollLeft())}},_cacheMargins:function(){this.margins={left:parseInt(this.element.css("marginLeft"),10)||0,top:parseInt(this.element.css("marginTop"),10)||0,right:parseInt(this.element.css("marginRight"),10)||0,bottom:parseInt(this.element.css("marginBottom"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,i,s,n=this.options,a=this.document[0];return this.relativeContainer=null,n.containment?"window"===n.containment?(this.containment=[e(window).scrollLeft()-this.offset.relative.left-this.offset.parent.left,e(window).scrollTop()-this.offset.relative.top-this.offset.parent.top,e(window).scrollLeft()+e(window).width()-this.helperProportions.width-this.margins.left,e(window).scrollTop()+(e(window).height()||a.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top],void 0):"document"===n.containment?(this.containment=[0,0,e(a).width()-this.helperProportions.width-this.margins.left,(e(a).height()||a.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top],void 0):n.containment.constructor===Array?(this.containment=n.containment,void 0):("parent"===n.containment&&(n.containment=this.helper[0].parentNode),i=e(n.containment),s=i[0],s&&(t=/(scroll|auto)/.test(i.css("overflow")),this.containment=[(parseInt(i.css("borderLeftWidth"),10)||0)+(parseInt(i.css("paddingLeft"),10)||0),(parseInt(i.css("borderTopWidth"),10)||0)+(parseInt(i.css("paddingTop"),10)||0),(t?Math.max(s.scrollWidth,s.offsetWidth):s.offsetWidth)-(parseInt(i.css("borderRightWidth"),10)||0)-(parseInt(i.css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left-this.margins.right,(t?Math.max(s.scrollHeight,s.offsetHeight):s.offsetHeight)-(parseInt(i.css("borderBottomWidth"),10)||0)-(parseInt(i.css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top-this.margins.bottom],this.relativeContainer=i),void 0):(this.containment=null,void 0)},_convertPositionTo:function(e,t){t||(t=this.position);var i="absolute"===e?1:-1,s=this._isRootNode(this.scrollParent[0]);return{top:t.top+this.offset.relative.top*i+this.offset.parent.top*i-("fixed"===this.cssPosition?-this.offset.scroll.top:s?0:this.offset.scroll.top)*i,left:t.left+this.offset.relative.left*i+this.offset.parent.left*i-("fixed"===this.cssPosition?-this.offset.scroll.left:s?0:this.offset.scroll.left)*i}},_generatePosition:function(e,t){var i,s,n,a,o=this.options,r=this._isRootNode(this.scrollParent[0]),h=e.pageX,l=e.pageY;return r&&this.offset.scroll||(this.offset.scroll={top:this.scrollParent.scrollTop(),left:this.scrollParent.scrollLeft()}),t&&(this.containment&&(this.relativeContainer?(s=this.relativeContainer.offset(),i=[this.containment[0]+s.left,this.containment[1]+s.top,this.containment[2]+s.left,this.containment[3]+s.top]):i=this.containment,e.pageX-this.offset.click.left<i[0]&&(h=i[0]+this.offset.click.left),e.pageY-this.offset.click.top<i[1]&&(l=i[1]+this.offset.click.top),e.pageX-this.offset.click.left>i[2]&&(h=i[2]+this.offset.click.left),e.pageY-this.offset.click.top>i[3]&&(l=i[3]+this.offset.click.top)),o.grid&&(n=o.grid[1]?this.originalPageY+Math.round((l-this.originalPageY)/o.grid[1])*o.grid[1]:this.originalPageY,l=i?n-this.offset.click.top>=i[1]||n-this.offset.click.top>i[3]?n:n-this.offset.click.top>=i[1]?n-o.grid[1]:n+o.grid[1]:n,a=o.grid[0]?this.originalPageX+Math.round((h-this.originalPageX)/o.grid[0])*o.grid[0]:this.originalPageX,h=i?a-this.offset.click.left>=i[0]||a-this.offset.click.left>i[2]?a:a-this.offset.click.left>=i[0]?a-o.grid[0]:a+o.grid[0]:a),"y"===o.axis&&(h=this.originalPageX),"x"===o.axis&&(l=this.originalPageY)),{top:l-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.offset.scroll.top:r?0:this.offset.scroll.top),left:h-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.offset.scroll.left:r?0:this.offset.scroll.left)}},_clear:function(){this.helper.removeClass("ui-draggable-dragging"),this.helper[0]===this.element[0]||this.cancelHelperRemoval||this.helper.remove(),this.helper=null,this.cancelHelperRemoval=!1,this.destroyOnClear&&this.destroy()},_normalizeRightBottom:function(){"y"!==this.options.axis&&"auto"!==this.helper.css("right")&&(this.helper.width(this.helper.width()),this.helper.css("right","auto")),"x"!==this.options.axis&&"auto"!==this.helper.css("bottom")&&(this.helper.height(this.helper.height()),this.helper.css("bottom","auto"))},_trigger:function(t,i,s){return s=s||this._uiHash(),e.ui.plugin.call(this,t,[i,s,this],!0),/^(drag|start|stop)/.test(t)&&(this.positionAbs=this._convertPositionTo("absolute"),s.offset=this.positionAbs),e.Widget.prototype._trigger.call(this,t,i,s)},plugins:{},_uiHash:function(){return{helper:this.helper,position:this.position,originalPosition:this.originalPosition,offset:this.positionAbs}}}),e.ui.plugin.add("draggable","connectToSortable",{start:function(t,i,s){var n=e.extend({},i,{item:s.element});s.sortables=[],e(s.options.connectToSortable).each(function(){var i=e(this).sortable("instance");i&&!i.options.disabled&&(s.sortables.push(i),i.refreshPositions(),i._trigger("activate",t,n))})},stop:function(t,i,s){var n=e.extend({},i,{item:s.element});s.cancelHelperRemoval=!1,e.each(s.sortables,function(){var e=this;e.isOver?(e.isOver=0,s.cancelHelperRemoval=!0,e.cancelHelperRemoval=!1,e._storedCSS={position:e.placeholder.css("position"),top:e.placeholder.css("top"),left:e.placeholder.css("left")},e._mouseStop(t),e.options.helper=e.options._helper):(e.cancelHelperRemoval=!0,e._trigger("deactivate",t,n))})},drag:function(t,i,s){e.each(s.sortables,function(){var n=!1,a=this;a.positionAbs=s.positionAbs,a.helperProportions=s.helperProportions,a.offset.click=s.offset.click,a._intersectsWith(a.containerCache)&&(n=!0,e.each(s.sortables,function(){return this.positionAbs=s.positionAbs,this.helperProportions=s.helperProportions,this.offset.click=s.offset.click,this!==a&&this._intersectsWith(this.containerCache)&&e.contains(a.element[0],this.element[0])&&(n=!1),n +})),n?(a.isOver||(a.isOver=1,s._parent=i.helper.parent(),a.currentItem=i.helper.appendTo(a.element).data("ui-sortable-item",!0),a.options._helper=a.options.helper,a.options.helper=function(){return i.helper[0]},t.target=a.currentItem[0],a._mouseCapture(t,!0),a._mouseStart(t,!0,!0),a.offset.click.top=s.offset.click.top,a.offset.click.left=s.offset.click.left,a.offset.parent.left-=s.offset.parent.left-a.offset.parent.left,a.offset.parent.top-=s.offset.parent.top-a.offset.parent.top,s._trigger("toSortable",t),s.dropped=a.element,e.each(s.sortables,function(){this.refreshPositions()}),s.currentItem=s.element,a.fromOutside=s),a.currentItem&&(a._mouseDrag(t),i.position=a.position)):a.isOver&&(a.isOver=0,a.cancelHelperRemoval=!0,a.options._revert=a.options.revert,a.options.revert=!1,a._trigger("out",t,a._uiHash(a)),a._mouseStop(t,!0),a.options.revert=a.options._revert,a.options.helper=a.options._helper,a.placeholder&&a.placeholder.remove(),i.helper.appendTo(s._parent),s._refreshOffsets(t),i.position=s._generatePosition(t,!0),s._trigger("fromSortable",t),s.dropped=!1,e.each(s.sortables,function(){this.refreshPositions()}))})}}),e.ui.plugin.add("draggable","cursor",{start:function(t,i,s){var n=e("body"),a=s.options;n.css("cursor")&&(a._cursor=n.css("cursor")),n.css("cursor",a.cursor)},stop:function(t,i,s){var n=s.options;n._cursor&&e("body").css("cursor",n._cursor)}}),e.ui.plugin.add("draggable","opacity",{start:function(t,i,s){var n=e(i.helper),a=s.options;n.css("opacity")&&(a._opacity=n.css("opacity")),n.css("opacity",a.opacity)},stop:function(t,i,s){var n=s.options;n._opacity&&e(i.helper).css("opacity",n._opacity)}}),e.ui.plugin.add("draggable","scroll",{start:function(e,t,i){i.scrollParentNotHidden||(i.scrollParentNotHidden=i.helper.scrollParent(!1)),i.scrollParentNotHidden[0]!==i.document[0]&&"HTML"!==i.scrollParentNotHidden[0].tagName&&(i.overflowOffset=i.scrollParentNotHidden.offset())},drag:function(t,i,s){var n=s.options,a=!1,o=s.scrollParentNotHidden[0],r=s.document[0];o!==r&&"HTML"!==o.tagName?(n.axis&&"x"===n.axis||(s.overflowOffset.top+o.offsetHeight-t.pageY<n.scrollSensitivity?o.scrollTop=a=o.scrollTop+n.scrollSpeed:t.pageY-s.overflowOffset.top<n.scrollSensitivity&&(o.scrollTop=a=o.scrollTop-n.scrollSpeed)),n.axis&&"y"===n.axis||(s.overflowOffset.left+o.offsetWidth-t.pageX<n.scrollSensitivity?o.scrollLeft=a=o.scrollLeft+n.scrollSpeed:t.pageX-s.overflowOffset.left<n.scrollSensitivity&&(o.scrollLeft=a=o.scrollLeft-n.scrollSpeed))):(n.axis&&"x"===n.axis||(t.pageY-e(r).scrollTop()<n.scrollSensitivity?a=e(r).scrollTop(e(r).scrollTop()-n.scrollSpeed):e(window).height()-(t.pageY-e(r).scrollTop())<n.scrollSensitivity&&(a=e(r).scrollTop(e(r).scrollTop()+n.scrollSpeed))),n.axis&&"y"===n.axis||(t.pageX-e(r).scrollLeft()<n.scrollSensitivity?a=e(r).scrollLeft(e(r).scrollLeft()-n.scrollSpeed):e(window).width()-(t.pageX-e(r).scrollLeft())<n.scrollSensitivity&&(a=e(r).scrollLeft(e(r).scrollLeft()+n.scrollSpeed)))),a!==!1&&e.ui.ddmanager&&!n.dropBehaviour&&e.ui.ddmanager.prepareOffsets(s,t)}}),e.ui.plugin.add("draggable","snap",{start:function(t,i,s){var n=s.options;s.snapElements=[],e(n.snap.constructor!==String?n.snap.items||":data(ui-draggable)":n.snap).each(function(){var t=e(this),i=t.offset();this!==s.element[0]&&s.snapElements.push({item:this,width:t.outerWidth(),height:t.outerHeight(),top:i.top,left:i.left})})},drag:function(t,i,s){var n,a,o,r,h,l,u,d,c,p,f=s.options,m=f.snapTolerance,g=i.offset.left,v=g+s.helperProportions.width,y=i.offset.top,b=y+s.helperProportions.height;for(c=s.snapElements.length-1;c>=0;c--)h=s.snapElements[c].left-s.margins.left,l=h+s.snapElements[c].width,u=s.snapElements[c].top-s.margins.top,d=u+s.snapElements[c].height,h-m>v||g>l+m||u-m>b||y>d+m||!e.contains(s.snapElements[c].item.ownerDocument,s.snapElements[c].item)?(s.snapElements[c].snapping&&s.options.snap.release&&s.options.snap.release.call(s.element,t,e.extend(s._uiHash(),{snapItem:s.snapElements[c].item})),s.snapElements[c].snapping=!1):("inner"!==f.snapMode&&(n=m>=Math.abs(u-b),a=m>=Math.abs(d-y),o=m>=Math.abs(h-v),r=m>=Math.abs(l-g),n&&(i.position.top=s._convertPositionTo("relative",{top:u-s.helperProportions.height,left:0}).top),a&&(i.position.top=s._convertPositionTo("relative",{top:d,left:0}).top),o&&(i.position.left=s._convertPositionTo("relative",{top:0,left:h-s.helperProportions.width}).left),r&&(i.position.left=s._convertPositionTo("relative",{top:0,left:l}).left)),p=n||a||o||r,"outer"!==f.snapMode&&(n=m>=Math.abs(u-y),a=m>=Math.abs(d-b),o=m>=Math.abs(h-g),r=m>=Math.abs(l-v),n&&(i.position.top=s._convertPositionTo("relative",{top:u,left:0}).top),a&&(i.position.top=s._convertPositionTo("relative",{top:d-s.helperProportions.height,left:0}).top),o&&(i.position.left=s._convertPositionTo("relative",{top:0,left:h}).left),r&&(i.position.left=s._convertPositionTo("relative",{top:0,left:l-s.helperProportions.width}).left)),!s.snapElements[c].snapping&&(n||a||o||r||p)&&s.options.snap.snap&&s.options.snap.snap.call(s.element,t,e.extend(s._uiHash(),{snapItem:s.snapElements[c].item})),s.snapElements[c].snapping=n||a||o||r||p)}}),e.ui.plugin.add("draggable","stack",{start:function(t,i,s){var n,a=s.options,o=e.makeArray(e(a.stack)).sort(function(t,i){return(parseInt(e(t).css("zIndex"),10)||0)-(parseInt(e(i).css("zIndex"),10)||0)});o.length&&(n=parseInt(e(o[0]).css("zIndex"),10)||0,e(o).each(function(t){e(this).css("zIndex",n+t)}),this.css("zIndex",n+o.length))}}),e.ui.plugin.add("draggable","zIndex",{start:function(t,i,s){var n=e(i.helper),a=s.options;n.css("zIndex")&&(a._zIndex=n.css("zIndex")),n.css("zIndex",a.zIndex)},stop:function(t,i,s){var n=s.options;n._zIndex&&e(i.helper).css("zIndex",n._zIndex)}}),e.ui.draggable,e.widget("ui.droppable",{version:"1.11.4",widgetEventPrefix:"drop",options:{accept:"*",activeClass:!1,addClasses:!0,greedy:!1,hoverClass:!1,scope:"default",tolerance:"intersect",activate:null,deactivate:null,drop:null,out:null,over:null},_create:function(){var t,i=this.options,s=i.accept;this.isover=!1,this.isout=!0,this.accept=e.isFunction(s)?s:function(e){return e.is(s)},this.proportions=function(){return arguments.length?(t=arguments[0],void 0):t?t:t={width:this.element[0].offsetWidth,height:this.element[0].offsetHeight}},this._addToManager(i.scope),i.addClasses&&this.element.addClass("ui-droppable")},_addToManager:function(t){e.ui.ddmanager.droppables[t]=e.ui.ddmanager.droppables[t]||[],e.ui.ddmanager.droppables[t].push(this)},_splice:function(e){for(var t=0;e.length>t;t++)e[t]===this&&e.splice(t,1)},_destroy:function(){var t=e.ui.ddmanager.droppables[this.options.scope];this._splice(t),this.element.removeClass("ui-droppable ui-droppable-disabled")},_setOption:function(t,i){if("accept"===t)this.accept=e.isFunction(i)?i:function(e){return e.is(i)};else if("scope"===t){var s=e.ui.ddmanager.droppables[this.options.scope];this._splice(s),this._addToManager(i)}this._super(t,i)},_activate:function(t){var i=e.ui.ddmanager.current;this.options.activeClass&&this.element.addClass(this.options.activeClass),i&&this._trigger("activate",t,this.ui(i))},_deactivate:function(t){var i=e.ui.ddmanager.current;this.options.activeClass&&this.element.removeClass(this.options.activeClass),i&&this._trigger("deactivate",t,this.ui(i))},_over:function(t){var i=e.ui.ddmanager.current;i&&(i.currentItem||i.element)[0]!==this.element[0]&&this.accept.call(this.element[0],i.currentItem||i.element)&&(this.options.hoverClass&&this.element.addClass(this.options.hoverClass),this._trigger("over",t,this.ui(i)))},_out:function(t){var i=e.ui.ddmanager.current;i&&(i.currentItem||i.element)[0]!==this.element[0]&&this.accept.call(this.element[0],i.currentItem||i.element)&&(this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("out",t,this.ui(i)))},_drop:function(t,i){var s=i||e.ui.ddmanager.current,n=!1;return s&&(s.currentItem||s.element)[0]!==this.element[0]?(this.element.find(":data(ui-droppable)").not(".ui-draggable-dragging").each(function(){var i=e(this).droppable("instance");return i.options.greedy&&!i.options.disabled&&i.options.scope===s.options.scope&&i.accept.call(i.element[0],s.currentItem||s.element)&&e.ui.intersect(s,e.extend(i,{offset:i.element.offset()}),i.options.tolerance,t)?(n=!0,!1):void 0}),n?!1:this.accept.call(this.element[0],s.currentItem||s.element)?(this.options.activeClass&&this.element.removeClass(this.options.activeClass),this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("drop",t,this.ui(s)),this.element):!1):!1},ui:function(e){return{draggable:e.currentItem||e.element,helper:e.helper,position:e.position,offset:e.positionAbs}}}),e.ui.intersect=function(){function e(e,t,i){return e>=t&&t+i>e}return function(t,i,s,n){if(!i.offset)return!1;var a=(t.positionAbs||t.position.absolute).left+t.margins.left,o=(t.positionAbs||t.position.absolute).top+t.margins.top,r=a+t.helperProportions.width,h=o+t.helperProportions.height,l=i.offset.left,u=i.offset.top,d=l+i.proportions().width,c=u+i.proportions().height;switch(s){case"fit":return a>=l&&d>=r&&o>=u&&c>=h;case"intersect":return a+t.helperProportions.width/2>l&&d>r-t.helperProportions.width/2&&o+t.helperProportions.height/2>u&&c>h-t.helperProportions.height/2;case"pointer":return e(n.pageY,u,i.proportions().height)&&e(n.pageX,l,i.proportions().width);case"touch":return(o>=u&&c>=o||h>=u&&c>=h||u>o&&h>c)&&(a>=l&&d>=a||r>=l&&d>=r||l>a&&r>d);default:return!1}}}(),e.ui.ddmanager={current:null,droppables:{"default":[]},prepareOffsets:function(t,i){var s,n,a=e.ui.ddmanager.droppables[t.options.scope]||[],o=i?i.type:null,r=(t.currentItem||t.element).find(":data(ui-droppable)").addBack();e:for(s=0;a.length>s;s++)if(!(a[s].options.disabled||t&&!a[s].accept.call(a[s].element[0],t.currentItem||t.element))){for(n=0;r.length>n;n++)if(r[n]===a[s].element[0]){a[s].proportions().height=0;continue e}a[s].visible="none"!==a[s].element.css("display"),a[s].visible&&("mousedown"===o&&a[s]._activate.call(a[s],i),a[s].offset=a[s].element.offset(),a[s].proportions({width:a[s].element[0].offsetWidth,height:a[s].element[0].offsetHeight}))}},drop:function(t,i){var s=!1;return e.each((e.ui.ddmanager.droppables[t.options.scope]||[]).slice(),function(){this.options&&(!this.options.disabled&&this.visible&&e.ui.intersect(t,this,this.options.tolerance,i)&&(s=this._drop.call(this,i)||s),!this.options.disabled&&this.visible&&this.accept.call(this.element[0],t.currentItem||t.element)&&(this.isout=!0,this.isover=!1,this._deactivate.call(this,i)))}),s},dragStart:function(t,i){t.element.parentsUntil("body").bind("scroll.droppable",function(){t.options.refreshPositions||e.ui.ddmanager.prepareOffsets(t,i)})},drag:function(t,i){t.options.refreshPositions&&e.ui.ddmanager.prepareOffsets(t,i),e.each(e.ui.ddmanager.droppables[t.options.scope]||[],function(){if(!this.options.disabled&&!this.greedyChild&&this.visible){var s,n,a,o=e.ui.intersect(t,this,this.options.tolerance,i),r=!o&&this.isover?"isout":o&&!this.isover?"isover":null;r&&(this.options.greedy&&(n=this.options.scope,a=this.element.parents(":data(ui-droppable)").filter(function(){return e(this).droppable("instance").options.scope===n}),a.length&&(s=e(a[0]).droppable("instance"),s.greedyChild="isover"===r)),s&&"isover"===r&&(s.isover=!1,s.isout=!0,s._out.call(s,i)),this[r]=!0,this["isout"===r?"isover":"isout"]=!1,this["isover"===r?"_over":"_out"].call(this,i),s&&"isout"===r&&(s.isout=!1,s.isover=!0,s._over.call(s,i)))}})},dragStop:function(t,i){t.element.parentsUntil("body").unbind("scroll.droppable"),t.options.refreshPositions||e.ui.ddmanager.prepareOffsets(t,i)}},e.ui.droppable,e.widget("ui.resizable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"resize",options:{alsoResize:!1,animate:!1,animateDuration:"slow",animateEasing:"swing",aspectRatio:!1,autoHide:!1,containment:!1,ghost:!1,grid:!1,handles:"e,s,se",helper:!1,maxHeight:null,maxWidth:null,minHeight:10,minWidth:10,zIndex:90,resize:null,start:null,stop:null},_num:function(e){return parseInt(e,10)||0},_isNumber:function(e){return!isNaN(parseInt(e,10))},_hasScroll:function(t,i){if("hidden"===e(t).css("overflow"))return!1;var s=i&&"left"===i?"scrollLeft":"scrollTop",n=!1;return t[s]>0?!0:(t[s]=1,n=t[s]>0,t[s]=0,n)},_create:function(){var t,i,s,n,a,o=this,r=this.options;if(this.element.addClass("ui-resizable"),e.extend(this,{_aspectRatio:!!r.aspectRatio,aspectRatio:r.aspectRatio,originalElement:this.element,_proportionallyResizeElements:[],_helper:r.helper||r.ghost||r.animate?r.helper||"ui-resizable-helper":null}),this.element[0].nodeName.match(/^(canvas|textarea|input|select|button|img)$/i)&&(this.element.wrap(e("<div class='ui-wrapper' style='overflow: hidden;'></div>").css({position:this.element.css("position"),width:this.element.outerWidth(),height:this.element.outerHeight(),top:this.element.css("top"),left:this.element.css("left")})),this.element=this.element.parent().data("ui-resizable",this.element.resizable("instance")),this.elementIsWrapper=!0,this.element.css({marginLeft:this.originalElement.css("marginLeft"),marginTop:this.originalElement.css("marginTop"),marginRight:this.originalElement.css("marginRight"),marginBottom:this.originalElement.css("marginBottom")}),this.originalElement.css({marginLeft:0,marginTop:0,marginRight:0,marginBottom:0}),this.originalResizeStyle=this.originalElement.css("resize"),this.originalElement.css("resize","none"),this._proportionallyResizeElements.push(this.originalElement.css({position:"static",zoom:1,display:"block"})),this.originalElement.css({margin:this.originalElement.css("margin")}),this._proportionallyResize()),this.handles=r.handles||(e(".ui-resizable-handle",this.element).length?{n:".ui-resizable-n",e:".ui-resizable-e",s:".ui-resizable-s",w:".ui-resizable-w",se:".ui-resizable-se",sw:".ui-resizable-sw",ne:".ui-resizable-ne",nw:".ui-resizable-nw"}:"e,s,se"),this._handles=e(),this.handles.constructor===String)for("all"===this.handles&&(this.handles="n,e,s,w,se,sw,ne,nw"),t=this.handles.split(","),this.handles={},i=0;t.length>i;i++)s=e.trim(t[i]),a="ui-resizable-"+s,n=e("<div class='ui-resizable-handle "+a+"'></div>"),n.css({zIndex:r.zIndex}),"se"===s&&n.addClass("ui-icon ui-icon-gripsmall-diagonal-se"),this.handles[s]=".ui-resizable-"+s,this.element.append(n);this._renderAxis=function(t){var i,s,n,a;t=t||this.element;for(i in this.handles)this.handles[i].constructor===String?this.handles[i]=this.element.children(this.handles[i]).first().show():(this.handles[i].jquery||this.handles[i].nodeType)&&(this.handles[i]=e(this.handles[i]),this._on(this.handles[i],{mousedown:o._mouseDown})),this.elementIsWrapper&&this.originalElement[0].nodeName.match(/^(textarea|input|select|button)$/i)&&(s=e(this.handles[i],this.element),a=/sw|ne|nw|se|n|s/.test(i)?s.outerHeight():s.outerWidth(),n=["padding",/ne|nw|n/.test(i)?"Top":/se|sw|s/.test(i)?"Bottom":/^e$/.test(i)?"Right":"Left"].join(""),t.css(n,a),this._proportionallyResize()),this._handles=this._handles.add(this.handles[i])},this._renderAxis(this.element),this._handles=this._handles.add(this.element.find(".ui-resizable-handle")),this._handles.disableSelection(),this._handles.mouseover(function(){o.resizing||(this.className&&(n=this.className.match(/ui-resizable-(se|sw|ne|nw|n|e|s|w)/i)),o.axis=n&&n[1]?n[1]:"se")}),r.autoHide&&(this._handles.hide(),e(this.element).addClass("ui-resizable-autohide").mouseenter(function(){r.disabled||(e(this).removeClass("ui-resizable-autohide"),o._handles.show())}).mouseleave(function(){r.disabled||o.resizing||(e(this).addClass("ui-resizable-autohide"),o._handles.hide())})),this._mouseInit()},_destroy:function(){this._mouseDestroy();var t,i=function(t){e(t).removeClass("ui-resizable ui-resizable-disabled ui-resizable-resizing").removeData("resizable").removeData("ui-resizable").unbind(".resizable").find(".ui-resizable-handle").remove()};return this.elementIsWrapper&&(i(this.element),t=this.element,this.originalElement.css({position:t.css("position"),width:t.outerWidth(),height:t.outerHeight(),top:t.css("top"),left:t.css("left")}).insertAfter(t),t.remove()),this.originalElement.css("resize",this.originalResizeStyle),i(this.originalElement),this},_mouseCapture:function(t){var i,s,n=!1;for(i in this.handles)s=e(this.handles[i])[0],(s===t.target||e.contains(s,t.target))&&(n=!0);return!this.options.disabled&&n},_mouseStart:function(t){var i,s,n,a=this.options,o=this.element;return this.resizing=!0,this._renderProxy(),i=this._num(this.helper.css("left")),s=this._num(this.helper.css("top")),a.containment&&(i+=e(a.containment).scrollLeft()||0,s+=e(a.containment).scrollTop()||0),this.offset=this.helper.offset(),this.position={left:i,top:s},this.size=this._helper?{width:this.helper.width(),height:this.helper.height()}:{width:o.width(),height:o.height()},this.originalSize=this._helper?{width:o.outerWidth(),height:o.outerHeight()}:{width:o.width(),height:o.height()},this.sizeDiff={width:o.outerWidth()-o.width(),height:o.outerHeight()-o.height()},this.originalPosition={left:i,top:s},this.originalMousePosition={left:t.pageX,top:t.pageY},this.aspectRatio="number"==typeof a.aspectRatio?a.aspectRatio:this.originalSize.width/this.originalSize.height||1,n=e(".ui-resizable-"+this.axis).css("cursor"),e("body").css("cursor","auto"===n?this.axis+"-resize":n),o.addClass("ui-resizable-resizing"),this._propagate("start",t),!0},_mouseDrag:function(t){var i,s,n=this.originalMousePosition,a=this.axis,o=t.pageX-n.left||0,r=t.pageY-n.top||0,h=this._change[a];return this._updatePrevProperties(),h?(i=h.apply(this,[t,o,r]),this._updateVirtualBoundaries(t.shiftKey),(this._aspectRatio||t.shiftKey)&&(i=this._updateRatio(i,t)),i=this._respectSize(i,t),this._updateCache(i),this._propagate("resize",t),s=this._applyChanges(),!this._helper&&this._proportionallyResizeElements.length&&this._proportionallyResize(),e.isEmptyObject(s)||(this._updatePrevProperties(),this._trigger("resize",t,this.ui()),this._applyChanges()),!1):!1},_mouseStop:function(t){this.resizing=!1;var i,s,n,a,o,r,h,l=this.options,u=this;return this._helper&&(i=this._proportionallyResizeElements,s=i.length&&/textarea/i.test(i[0].nodeName),n=s&&this._hasScroll(i[0],"left")?0:u.sizeDiff.height,a=s?0:u.sizeDiff.width,o={width:u.helper.width()-a,height:u.helper.height()-n},r=parseInt(u.element.css("left"),10)+(u.position.left-u.originalPosition.left)||null,h=parseInt(u.element.css("top"),10)+(u.position.top-u.originalPosition.top)||null,l.animate||this.element.css(e.extend(o,{top:h,left:r})),u.helper.height(u.size.height),u.helper.width(u.size.width),this._helper&&!l.animate&&this._proportionallyResize()),e("body").css("cursor","auto"),this.element.removeClass("ui-resizable-resizing"),this._propagate("stop",t),this._helper&&this.helper.remove(),!1},_updatePrevProperties:function(){this.prevPosition={top:this.position.top,left:this.position.left},this.prevSize={width:this.size.width,height:this.size.height}},_applyChanges:function(){var e={};return this.position.top!==this.prevPosition.top&&(e.top=this.position.top+"px"),this.position.left!==this.prevPosition.left&&(e.left=this.position.left+"px"),this.size.width!==this.prevSize.width&&(e.width=this.size.width+"px"),this.size.height!==this.prevSize.height&&(e.height=this.size.height+"px"),this.helper.css(e),e},_updateVirtualBoundaries:function(e){var t,i,s,n,a,o=this.options;a={minWidth:this._isNumber(o.minWidth)?o.minWidth:0,maxWidth:this._isNumber(o.maxWidth)?o.maxWidth:1/0,minHeight:this._isNumber(o.minHeight)?o.minHeight:0,maxHeight:this._isNumber(o.maxHeight)?o.maxHeight:1/0},(this._aspectRatio||e)&&(t=a.minHeight*this.aspectRatio,s=a.minWidth/this.aspectRatio,i=a.maxHeight*this.aspectRatio,n=a.maxWidth/this.aspectRatio,t>a.minWidth&&(a.minWidth=t),s>a.minHeight&&(a.minHeight=s),a.maxWidth>i&&(a.maxWidth=i),a.maxHeight>n&&(a.maxHeight=n)),this._vBoundaries=a},_updateCache:function(e){this.offset=this.helper.offset(),this._isNumber(e.left)&&(this.position.left=e.left),this._isNumber(e.top)&&(this.position.top=e.top),this._isNumber(e.height)&&(this.size.height=e.height),this._isNumber(e.width)&&(this.size.width=e.width)},_updateRatio:function(e){var t=this.position,i=this.size,s=this.axis;return this._isNumber(e.height)?e.width=e.height*this.aspectRatio:this._isNumber(e.width)&&(e.height=e.width/this.aspectRatio),"sw"===s&&(e.left=t.left+(i.width-e.width),e.top=null),"nw"===s&&(e.top=t.top+(i.height-e.height),e.left=t.left+(i.width-e.width)),e},_respectSize:function(e){var t=this._vBoundaries,i=this.axis,s=this._isNumber(e.width)&&t.maxWidth&&t.maxWidth<e.width,n=this._isNumber(e.height)&&t.maxHeight&&t.maxHeight<e.height,a=this._isNumber(e.width)&&t.minWidth&&t.minWidth>e.width,o=this._isNumber(e.height)&&t.minHeight&&t.minHeight>e.height,r=this.originalPosition.left+this.originalSize.width,h=this.position.top+this.size.height,l=/sw|nw|w/.test(i),u=/nw|ne|n/.test(i);return a&&(e.width=t.minWidth),o&&(e.height=t.minHeight),s&&(e.width=t.maxWidth),n&&(e.height=t.maxHeight),a&&l&&(e.left=r-t.minWidth),s&&l&&(e.left=r-t.maxWidth),o&&u&&(e.top=h-t.minHeight),n&&u&&(e.top=h-t.maxHeight),e.width||e.height||e.left||!e.top?e.width||e.height||e.top||!e.left||(e.left=null):e.top=null,e},_getPaddingPlusBorderDimensions:function(e){for(var t=0,i=[],s=[e.css("borderTopWidth"),e.css("borderRightWidth"),e.css("borderBottomWidth"),e.css("borderLeftWidth")],n=[e.css("paddingTop"),e.css("paddingRight"),e.css("paddingBottom"),e.css("paddingLeft")];4>t;t++)i[t]=parseInt(s[t],10)||0,i[t]+=parseInt(n[t],10)||0;return{height:i[0]+i[2],width:i[1]+i[3]}},_proportionallyResize:function(){if(this._proportionallyResizeElements.length)for(var e,t=0,i=this.helper||this.element;this._proportionallyResizeElements.length>t;t++)e=this._proportionallyResizeElements[t],this.outerDimensions||(this.outerDimensions=this._getPaddingPlusBorderDimensions(e)),e.css({height:i.height()-this.outerDimensions.height||0,width:i.width()-this.outerDimensions.width||0})},_renderProxy:function(){var t=this.element,i=this.options;this.elementOffset=t.offset(),this._helper?(this.helper=this.helper||e("<div style='overflow:hidden;'></div>"),this.helper.addClass(this._helper).css({width:this.element.outerWidth()-1,height:this.element.outerHeight()-1,position:"absolute",left:this.elementOffset.left+"px",top:this.elementOffset.top+"px",zIndex:++i.zIndex}),this.helper.appendTo("body").disableSelection()):this.helper=this.element},_change:{e:function(e,t){return{width:this.originalSize.width+t}},w:function(e,t){var i=this.originalSize,s=this.originalPosition;return{left:s.left+t,width:i.width-t}},n:function(e,t,i){var s=this.originalSize,n=this.originalPosition;return{top:n.top+i,height:s.height-i}},s:function(e,t,i){return{height:this.originalSize.height+i}},se:function(t,i,s){return e.extend(this._change.s.apply(this,arguments),this._change.e.apply(this,[t,i,s]))},sw:function(t,i,s){return e.extend(this._change.s.apply(this,arguments),this._change.w.apply(this,[t,i,s]))},ne:function(t,i,s){return e.extend(this._change.n.apply(this,arguments),this._change.e.apply(this,[t,i,s]))},nw:function(t,i,s){return e.extend(this._change.n.apply(this,arguments),this._change.w.apply(this,[t,i,s]))}},_propagate:function(t,i){e.ui.plugin.call(this,t,[i,this.ui()]),"resize"!==t&&this._trigger(t,i,this.ui())},plugins:{},ui:function(){return{originalElement:this.originalElement,element:this.element,helper:this.helper,position:this.position,size:this.size,originalSize:this.originalSize,originalPosition:this.originalPosition}}}),e.ui.plugin.add("resizable","animate",{stop:function(t){var i=e(this).resizable("instance"),s=i.options,n=i._proportionallyResizeElements,a=n.length&&/textarea/i.test(n[0].nodeName),o=a&&i._hasScroll(n[0],"left")?0:i.sizeDiff.height,r=a?0:i.sizeDiff.width,h={width:i.size.width-r,height:i.size.height-o},l=parseInt(i.element.css("left"),10)+(i.position.left-i.originalPosition.left)||null,u=parseInt(i.element.css("top"),10)+(i.position.top-i.originalPosition.top)||null;i.element.animate(e.extend(h,u&&l?{top:u,left:l}:{}),{duration:s.animateDuration,easing:s.animateEasing,step:function(){var s={width:parseInt(i.element.css("width"),10),height:parseInt(i.element.css("height"),10),top:parseInt(i.element.css("top"),10),left:parseInt(i.element.css("left"),10)};n&&n.length&&e(n[0]).css({width:s.width,height:s.height}),i._updateCache(s),i._propagate("resize",t)}})}}),e.ui.plugin.add("resizable","containment",{start:function(){var t,i,s,n,a,o,r,h=e(this).resizable("instance"),l=h.options,u=h.element,d=l.containment,c=d instanceof e?d.get(0):/parent/.test(d)?u.parent().get(0):d;c&&(h.containerElement=e(c),/document/.test(d)||d===document?(h.containerOffset={left:0,top:0},h.containerPosition={left:0,top:0},h.parentData={element:e(document),left:0,top:0,width:e(document).width(),height:e(document).height()||document.body.parentNode.scrollHeight}):(t=e(c),i=[],e(["Top","Right","Left","Bottom"]).each(function(e,s){i[e]=h._num(t.css("padding"+s))}),h.containerOffset=t.offset(),h.containerPosition=t.position(),h.containerSize={height:t.innerHeight()-i[3],width:t.innerWidth()-i[1]},s=h.containerOffset,n=h.containerSize.height,a=h.containerSize.width,o=h._hasScroll(c,"left")?c.scrollWidth:a,r=h._hasScroll(c)?c.scrollHeight:n,h.parentData={element:c,left:s.left,top:s.top,width:o,height:r}))},resize:function(t){var i,s,n,a,o=e(this).resizable("instance"),r=o.options,h=o.containerOffset,l=o.position,u=o._aspectRatio||t.shiftKey,d={top:0,left:0},c=o.containerElement,p=!0;c[0]!==document&&/static/.test(c.css("position"))&&(d=h),l.left<(o._helper?h.left:0)&&(o.size.width=o.size.width+(o._helper?o.position.left-h.left:o.position.left-d.left),u&&(o.size.height=o.size.width/o.aspectRatio,p=!1),o.position.left=r.helper?h.left:0),l.top<(o._helper?h.top:0)&&(o.size.height=o.size.height+(o._helper?o.position.top-h.top:o.position.top),u&&(o.size.width=o.size.height*o.aspectRatio,p=!1),o.position.top=o._helper?h.top:0),n=o.containerElement.get(0)===o.element.parent().get(0),a=/relative|absolute/.test(o.containerElement.css("position")),n&&a?(o.offset.left=o.parentData.left+o.position.left,o.offset.top=o.parentData.top+o.position.top):(o.offset.left=o.element.offset().left,o.offset.top=o.element.offset().top),i=Math.abs(o.sizeDiff.width+(o._helper?o.offset.left-d.left:o.offset.left-h.left)),s=Math.abs(o.sizeDiff.height+(o._helper?o.offset.top-d.top:o.offset.top-h.top)),i+o.size.width>=o.parentData.width&&(o.size.width=o.parentData.width-i,u&&(o.size.height=o.size.width/o.aspectRatio,p=!1)),s+o.size.height>=o.parentData.height&&(o.size.height=o.parentData.height-s,u&&(o.size.width=o.size.height*o.aspectRatio,p=!1)),p||(o.position.left=o.prevPosition.left,o.position.top=o.prevPosition.top,o.size.width=o.prevSize.width,o.size.height=o.prevSize.height)},stop:function(){var t=e(this).resizable("instance"),i=t.options,s=t.containerOffset,n=t.containerPosition,a=t.containerElement,o=e(t.helper),r=o.offset(),h=o.outerWidth()-t.sizeDiff.width,l=o.outerHeight()-t.sizeDiff.height;t._helper&&!i.animate&&/relative/.test(a.css("position"))&&e(this).css({left:r.left-n.left-s.left,width:h,height:l}),t._helper&&!i.animate&&/static/.test(a.css("position"))&&e(this).css({left:r.left-n.left-s.left,width:h,height:l})}}),e.ui.plugin.add("resizable","alsoResize",{start:function(){var t=e(this).resizable("instance"),i=t.options;e(i.alsoResize).each(function(){var t=e(this);t.data("ui-resizable-alsoresize",{width:parseInt(t.width(),10),height:parseInt(t.height(),10),left:parseInt(t.css("left"),10),top:parseInt(t.css("top"),10)})})},resize:function(t,i){var s=e(this).resizable("instance"),n=s.options,a=s.originalSize,o=s.originalPosition,r={height:s.size.height-a.height||0,width:s.size.width-a.width||0,top:s.position.top-o.top||0,left:s.position.left-o.left||0};e(n.alsoResize).each(function(){var t=e(this),s=e(this).data("ui-resizable-alsoresize"),n={},a=t.parents(i.originalElement[0]).length?["width","height"]:["width","height","top","left"];e.each(a,function(e,t){var i=(s[t]||0)+(r[t]||0);i&&i>=0&&(n[t]=i||null)}),t.css(n)})},stop:function(){e(this).removeData("resizable-alsoresize")}}),e.ui.plugin.add("resizable","ghost",{start:function(){var t=e(this).resizable("instance"),i=t.options,s=t.size;t.ghost=t.originalElement.clone(),t.ghost.css({opacity:.25,display:"block",position:"relative",height:s.height,width:s.width,margin:0,left:0,top:0}).addClass("ui-resizable-ghost").addClass("string"==typeof i.ghost?i.ghost:""),t.ghost.appendTo(t.helper)},resize:function(){var t=e(this).resizable("instance");t.ghost&&t.ghost.css({position:"relative",height:t.size.height,width:t.size.width})},stop:function(){var t=e(this).resizable("instance");t.ghost&&t.helper&&t.helper.get(0).removeChild(t.ghost.get(0))}}),e.ui.plugin.add("resizable","grid",{resize:function(){var t,i=e(this).resizable("instance"),s=i.options,n=i.size,a=i.originalSize,o=i.originalPosition,r=i.axis,h="number"==typeof s.grid?[s.grid,s.grid]:s.grid,l=h[0]||1,u=h[1]||1,d=Math.round((n.width-a.width)/l)*l,c=Math.round((n.height-a.height)/u)*u,p=a.width+d,f=a.height+c,m=s.maxWidth&&p>s.maxWidth,g=s.maxHeight&&f>s.maxHeight,v=s.minWidth&&s.minWidth>p,y=s.minHeight&&s.minHeight>f;s.grid=h,v&&(p+=l),y&&(f+=u),m&&(p-=l),g&&(f-=u),/^(se|s|e)$/.test(r)?(i.size.width=p,i.size.height=f):/^(ne)$/.test(r)?(i.size.width=p,i.size.height=f,i.position.top=o.top-c):/^(sw)$/.test(r)?(i.size.width=p,i.size.height=f,i.position.left=o.left-d):((0>=f-u||0>=p-l)&&(t=i._getPaddingPlusBorderDimensions(this)),f-u>0?(i.size.height=f,i.position.top=o.top-c):(f=u-t.height,i.size.height=f,i.position.top=o.top+a.height-f),p-l>0?(i.size.width=p,i.position.left=o.left-d):(p=l-t.width,i.size.width=p,i.position.left=o.left+a.width-p))}}),e.ui.resizable,e.widget("ui.selectable",e.ui.mouse,{version:"1.11.4",options:{appendTo:"body",autoRefresh:!0,distance:0,filter:"*",tolerance:"touch",selected:null,selecting:null,start:null,stop:null,unselected:null,unselecting:null},_create:function(){var t,i=this;this.element.addClass("ui-selectable"),this.dragged=!1,this.refresh=function(){t=e(i.options.filter,i.element[0]),t.addClass("ui-selectee"),t.each(function(){var t=e(this),i=t.offset();e.data(this,"selectable-item",{element:this,$element:t,left:i.left,top:i.top,right:i.left+t.outerWidth(),bottom:i.top+t.outerHeight(),startselected:!1,selected:t.hasClass("ui-selected"),selecting:t.hasClass("ui-selecting"),unselecting:t.hasClass("ui-unselecting")})})},this.refresh(),this.selectees=t.addClass("ui-selectee"),this._mouseInit(),this.helper=e("<div class='ui-selectable-helper'></div>")},_destroy:function(){this.selectees.removeClass("ui-selectee").removeData("selectable-item"),this.element.removeClass("ui-selectable ui-selectable-disabled"),this._mouseDestroy()},_mouseStart:function(t){var i=this,s=this.options;this.opos=[t.pageX,t.pageY],this.options.disabled||(this.selectees=e(s.filter,this.element[0]),this._trigger("start",t),e(s.appendTo).append(this.helper),this.helper.css({left:t.pageX,top:t.pageY,width:0,height:0}),s.autoRefresh&&this.refresh(),this.selectees.filter(".ui-selected").each(function(){var s=e.data(this,"selectable-item");s.startselected=!0,t.metaKey||t.ctrlKey||(s.$element.removeClass("ui-selected"),s.selected=!1,s.$element.addClass("ui-unselecting"),s.unselecting=!0,i._trigger("unselecting",t,{unselecting:s.element}))}),e(t.target).parents().addBack().each(function(){var s,n=e.data(this,"selectable-item");return n?(s=!t.metaKey&&!t.ctrlKey||!n.$element.hasClass("ui-selected"),n.$element.removeClass(s?"ui-unselecting":"ui-selected").addClass(s?"ui-selecting":"ui-unselecting"),n.unselecting=!s,n.selecting=s,n.selected=s,s?i._trigger("selecting",t,{selecting:n.element}):i._trigger("unselecting",t,{unselecting:n.element}),!1):void 0}))},_mouseDrag:function(t){if(this.dragged=!0,!this.options.disabled){var i,s=this,n=this.options,a=this.opos[0],o=this.opos[1],r=t.pageX,h=t.pageY;return a>r&&(i=r,r=a,a=i),o>h&&(i=h,h=o,o=i),this.helper.css({left:a,top:o,width:r-a,height:h-o}),this.selectees.each(function(){var i=e.data(this,"selectable-item"),l=!1; +i&&i.element!==s.element[0]&&("touch"===n.tolerance?l=!(i.left>r||a>i.right||i.top>h||o>i.bottom):"fit"===n.tolerance&&(l=i.left>a&&r>i.right&&i.top>o&&h>i.bottom),l?(i.selected&&(i.$element.removeClass("ui-selected"),i.selected=!1),i.unselecting&&(i.$element.removeClass("ui-unselecting"),i.unselecting=!1),i.selecting||(i.$element.addClass("ui-selecting"),i.selecting=!0,s._trigger("selecting",t,{selecting:i.element}))):(i.selecting&&((t.metaKey||t.ctrlKey)&&i.startselected?(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.$element.addClass("ui-selected"),i.selected=!0):(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.startselected&&(i.$element.addClass("ui-unselecting"),i.unselecting=!0),s._trigger("unselecting",t,{unselecting:i.element}))),i.selected&&(t.metaKey||t.ctrlKey||i.startselected||(i.$element.removeClass("ui-selected"),i.selected=!1,i.$element.addClass("ui-unselecting"),i.unselecting=!0,s._trigger("unselecting",t,{unselecting:i.element})))))}),!1}},_mouseStop:function(t){var i=this;return this.dragged=!1,e(".ui-unselecting",this.element[0]).each(function(){var s=e.data(this,"selectable-item");s.$element.removeClass("ui-unselecting"),s.unselecting=!1,s.startselected=!1,i._trigger("unselected",t,{unselected:s.element})}),e(".ui-selecting",this.element[0]).each(function(){var s=e.data(this,"selectable-item");s.$element.removeClass("ui-selecting").addClass("ui-selected"),s.selecting=!1,s.selected=!0,s.startselected=!0,i._trigger("selected",t,{selected:s.element})}),this._trigger("stop",t),this.helper.remove(),!1}}),e.widget("ui.sortable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"sort",ready:!1,options:{appendTo:"parent",axis:!1,connectWith:!1,containment:!1,cursor:"auto",cursorAt:!1,dropOnEmpty:!0,forcePlaceholderSize:!1,forceHelperSize:!1,grid:!1,handle:!1,helper:"original",items:"> *",opacity:!1,placeholder:!1,revert:!1,scroll:!0,scrollSensitivity:20,scrollSpeed:20,scope:"default",tolerance:"intersect",zIndex:1e3,activate:null,beforeStop:null,change:null,deactivate:null,out:null,over:null,receive:null,remove:null,sort:null,start:null,stop:null,update:null},_isOverAxis:function(e,t,i){return e>=t&&t+i>e},_isFloating:function(e){return/left|right/.test(e.css("float"))||/inline|table-cell/.test(e.css("display"))},_create:function(){this.containerCache={},this.element.addClass("ui-sortable"),this.refresh(),this.offset=this.element.offset(),this._mouseInit(),this._setHandleClassName(),this.ready=!0},_setOption:function(e,t){this._super(e,t),"handle"===e&&this._setHandleClassName()},_setHandleClassName:function(){this.element.find(".ui-sortable-handle").removeClass("ui-sortable-handle"),e.each(this.items,function(){(this.instance.options.handle?this.item.find(this.instance.options.handle):this.item).addClass("ui-sortable-handle")})},_destroy:function(){this.element.removeClass("ui-sortable ui-sortable-disabled").find(".ui-sortable-handle").removeClass("ui-sortable-handle"),this._mouseDestroy();for(var e=this.items.length-1;e>=0;e--)this.items[e].item.removeData(this.widgetName+"-item");return this},_mouseCapture:function(t,i){var s=null,n=!1,a=this;return this.reverting?!1:this.options.disabled||"static"===this.options.type?!1:(this._refreshItems(t),e(t.target).parents().each(function(){return e.data(this,a.widgetName+"-item")===a?(s=e(this),!1):void 0}),e.data(t.target,a.widgetName+"-item")===a&&(s=e(t.target)),s?!this.options.handle||i||(e(this.options.handle,s).find("*").addBack().each(function(){this===t.target&&(n=!0)}),n)?(this.currentItem=s,this._removeCurrentsFromItems(),!0):!1:!1)},_mouseStart:function(t,i,s){var n,a,o=this.options;if(this.currentContainer=this,this.refreshPositions(),this.helper=this._createHelper(t),this._cacheHelperProportions(),this._cacheMargins(),this.scrollParent=this.helper.scrollParent(),this.offset=this.currentItem.offset(),this.offset={top:this.offset.top-this.margins.top,left:this.offset.left-this.margins.left},e.extend(this.offset,{click:{left:t.pageX-this.offset.left,top:t.pageY-this.offset.top},parent:this._getParentOffset(),relative:this._getRelativeOffset()}),this.helper.css("position","absolute"),this.cssPosition=this.helper.css("position"),this.originalPosition=this._generatePosition(t),this.originalPageX=t.pageX,this.originalPageY=t.pageY,o.cursorAt&&this._adjustOffsetFromHelper(o.cursorAt),this.domPosition={prev:this.currentItem.prev()[0],parent:this.currentItem.parent()[0]},this.helper[0]!==this.currentItem[0]&&this.currentItem.hide(),this._createPlaceholder(),o.containment&&this._setContainment(),o.cursor&&"auto"!==o.cursor&&(a=this.document.find("body"),this.storedCursor=a.css("cursor"),a.css("cursor",o.cursor),this.storedStylesheet=e("<style>*{ cursor: "+o.cursor+" !important; }</style>").appendTo(a)),o.opacity&&(this.helper.css("opacity")&&(this._storedOpacity=this.helper.css("opacity")),this.helper.css("opacity",o.opacity)),o.zIndex&&(this.helper.css("zIndex")&&(this._storedZIndex=this.helper.css("zIndex")),this.helper.css("zIndex",o.zIndex)),this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName&&(this.overflowOffset=this.scrollParent.offset()),this._trigger("start",t,this._uiHash()),this._preserveHelperProportions||this._cacheHelperProportions(),!s)for(n=this.containers.length-1;n>=0;n--)this.containers[n]._trigger("activate",t,this._uiHash(this));return e.ui.ddmanager&&(e.ui.ddmanager.current=this),e.ui.ddmanager&&!o.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t),this.dragging=!0,this.helper.addClass("ui-sortable-helper"),this._mouseDrag(t),!0},_mouseDrag:function(t){var i,s,n,a,o=this.options,r=!1;for(this.position=this._generatePosition(t),this.positionAbs=this._convertPositionTo("absolute"),this.lastPositionAbs||(this.lastPositionAbs=this.positionAbs),this.options.scroll&&(this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName?(this.overflowOffset.top+this.scrollParent[0].offsetHeight-t.pageY<o.scrollSensitivity?this.scrollParent[0].scrollTop=r=this.scrollParent[0].scrollTop+o.scrollSpeed:t.pageY-this.overflowOffset.top<o.scrollSensitivity&&(this.scrollParent[0].scrollTop=r=this.scrollParent[0].scrollTop-o.scrollSpeed),this.overflowOffset.left+this.scrollParent[0].offsetWidth-t.pageX<o.scrollSensitivity?this.scrollParent[0].scrollLeft=r=this.scrollParent[0].scrollLeft+o.scrollSpeed:t.pageX-this.overflowOffset.left<o.scrollSensitivity&&(this.scrollParent[0].scrollLeft=r=this.scrollParent[0].scrollLeft-o.scrollSpeed)):(t.pageY-this.document.scrollTop()<o.scrollSensitivity?r=this.document.scrollTop(this.document.scrollTop()-o.scrollSpeed):this.window.height()-(t.pageY-this.document.scrollTop())<o.scrollSensitivity&&(r=this.document.scrollTop(this.document.scrollTop()+o.scrollSpeed)),t.pageX-this.document.scrollLeft()<o.scrollSensitivity?r=this.document.scrollLeft(this.document.scrollLeft()-o.scrollSpeed):this.window.width()-(t.pageX-this.document.scrollLeft())<o.scrollSensitivity&&(r=this.document.scrollLeft(this.document.scrollLeft()+o.scrollSpeed))),r!==!1&&e.ui.ddmanager&&!o.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t)),this.positionAbs=this._convertPositionTo("absolute"),this.options.axis&&"y"===this.options.axis||(this.helper[0].style.left=this.position.left+"px"),this.options.axis&&"x"===this.options.axis||(this.helper[0].style.top=this.position.top+"px"),i=this.items.length-1;i>=0;i--)if(s=this.items[i],n=s.item[0],a=this._intersectsWithPointer(s),a&&s.instance===this.currentContainer&&n!==this.currentItem[0]&&this.placeholder[1===a?"next":"prev"]()[0]!==n&&!e.contains(this.placeholder[0],n)&&("semi-dynamic"===this.options.type?!e.contains(this.element[0],n):!0)){if(this.direction=1===a?"down":"up","pointer"!==this.options.tolerance&&!this._intersectsWithSides(s))break;this._rearrange(t,s),this._trigger("change",t,this._uiHash());break}return this._contactContainers(t),e.ui.ddmanager&&e.ui.ddmanager.drag(this,t),this._trigger("sort",t,this._uiHash()),this.lastPositionAbs=this.positionAbs,!1},_mouseStop:function(t,i){if(t){if(e.ui.ddmanager&&!this.options.dropBehaviour&&e.ui.ddmanager.drop(this,t),this.options.revert){var s=this,n=this.placeholder.offset(),a=this.options.axis,o={};a&&"x"!==a||(o.left=n.left-this.offset.parent.left-this.margins.left+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollLeft)),a&&"y"!==a||(o.top=n.top-this.offset.parent.top-this.margins.top+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollTop)),this.reverting=!0,e(this.helper).animate(o,parseInt(this.options.revert,10)||500,function(){s._clear(t)})}else this._clear(t,i);return!1}},cancel:function(){if(this.dragging){this._mouseUp({target:null}),"original"===this.options.helper?this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper"):this.currentItem.show();for(var t=this.containers.length-1;t>=0;t--)this.containers[t]._trigger("deactivate",null,this._uiHash(this)),this.containers[t].containerCache.over&&(this.containers[t]._trigger("out",null,this._uiHash(this)),this.containers[t].containerCache.over=0)}return this.placeholder&&(this.placeholder[0].parentNode&&this.placeholder[0].parentNode.removeChild(this.placeholder[0]),"original"!==this.options.helper&&this.helper&&this.helper[0].parentNode&&this.helper.remove(),e.extend(this,{helper:null,dragging:!1,reverting:!1,_noFinalSort:null}),this.domPosition.prev?e(this.domPosition.prev).after(this.currentItem):e(this.domPosition.parent).prepend(this.currentItem)),this},serialize:function(t){var i=this._getItemsAsjQuery(t&&t.connected),s=[];return t=t||{},e(i).each(function(){var i=(e(t.item||this).attr(t.attribute||"id")||"").match(t.expression||/(.+)[\-=_](.+)/);i&&s.push((t.key||i[1]+"[]")+"="+(t.key&&t.expression?i[1]:i[2]))}),!s.length&&t.key&&s.push(t.key+"="),s.join("&")},toArray:function(t){var i=this._getItemsAsjQuery(t&&t.connected),s=[];return t=t||{},i.each(function(){s.push(e(t.item||this).attr(t.attribute||"id")||"")}),s},_intersectsWith:function(e){var t=this.positionAbs.left,i=t+this.helperProportions.width,s=this.positionAbs.top,n=s+this.helperProportions.height,a=e.left,o=a+e.width,r=e.top,h=r+e.height,l=this.offset.click.top,u=this.offset.click.left,d="x"===this.options.axis||s+l>r&&h>s+l,c="y"===this.options.axis||t+u>a&&o>t+u,p=d&&c;return"pointer"===this.options.tolerance||this.options.forcePointerForContainers||"pointer"!==this.options.tolerance&&this.helperProportions[this.floating?"width":"height"]>e[this.floating?"width":"height"]?p:t+this.helperProportions.width/2>a&&o>i-this.helperProportions.width/2&&s+this.helperProportions.height/2>r&&h>n-this.helperProportions.height/2},_intersectsWithPointer:function(e){var t="x"===this.options.axis||this._isOverAxis(this.positionAbs.top+this.offset.click.top,e.top,e.height),i="y"===this.options.axis||this._isOverAxis(this.positionAbs.left+this.offset.click.left,e.left,e.width),s=t&&i,n=this._getDragVerticalDirection(),a=this._getDragHorizontalDirection();return s?this.floating?a&&"right"===a||"down"===n?2:1:n&&("down"===n?2:1):!1},_intersectsWithSides:function(e){var t=this._isOverAxis(this.positionAbs.top+this.offset.click.top,e.top+e.height/2,e.height),i=this._isOverAxis(this.positionAbs.left+this.offset.click.left,e.left+e.width/2,e.width),s=this._getDragVerticalDirection(),n=this._getDragHorizontalDirection();return this.floating&&n?"right"===n&&i||"left"===n&&!i:s&&("down"===s&&t||"up"===s&&!t)},_getDragVerticalDirection:function(){var e=this.positionAbs.top-this.lastPositionAbs.top;return 0!==e&&(e>0?"down":"up")},_getDragHorizontalDirection:function(){var e=this.positionAbs.left-this.lastPositionAbs.left;return 0!==e&&(e>0?"right":"left")},refresh:function(e){return this._refreshItems(e),this._setHandleClassName(),this.refreshPositions(),this},_connectWith:function(){var e=this.options;return e.connectWith.constructor===String?[e.connectWith]:e.connectWith},_getItemsAsjQuery:function(t){function i(){r.push(this)}var s,n,a,o,r=[],h=[],l=this._connectWith();if(l&&t)for(s=l.length-1;s>=0;s--)for(a=e(l[s],this.document[0]),n=a.length-1;n>=0;n--)o=e.data(a[n],this.widgetFullName),o&&o!==this&&!o.options.disabled&&h.push([e.isFunction(o.options.items)?o.options.items.call(o.element):e(o.options.items,o.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),o]);for(h.push([e.isFunction(this.options.items)?this.options.items.call(this.element,null,{options:this.options,item:this.currentItem}):e(this.options.items,this.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),this]),s=h.length-1;s>=0;s--)h[s][0].each(i);return e(r)},_removeCurrentsFromItems:function(){var t=this.currentItem.find(":data("+this.widgetName+"-item)");this.items=e.grep(this.items,function(e){for(var i=0;t.length>i;i++)if(t[i]===e.item[0])return!1;return!0})},_refreshItems:function(t){this.items=[],this.containers=[this];var i,s,n,a,o,r,h,l,u=this.items,d=[[e.isFunction(this.options.items)?this.options.items.call(this.element[0],t,{item:this.currentItem}):e(this.options.items,this.element),this]],c=this._connectWith();if(c&&this.ready)for(i=c.length-1;i>=0;i--)for(n=e(c[i],this.document[0]),s=n.length-1;s>=0;s--)a=e.data(n[s],this.widgetFullName),a&&a!==this&&!a.options.disabled&&(d.push([e.isFunction(a.options.items)?a.options.items.call(a.element[0],t,{item:this.currentItem}):e(a.options.items,a.element),a]),this.containers.push(a));for(i=d.length-1;i>=0;i--)for(o=d[i][1],r=d[i][0],s=0,l=r.length;l>s;s++)h=e(r[s]),h.data(this.widgetName+"-item",o),u.push({item:h,instance:o,width:0,height:0,left:0,top:0})},refreshPositions:function(t){this.floating=this.items.length?"x"===this.options.axis||this._isFloating(this.items[0].item):!1,this.offsetParent&&this.helper&&(this.offset.parent=this._getParentOffset());var i,s,n,a;for(i=this.items.length-1;i>=0;i--)s=this.items[i],s.instance!==this.currentContainer&&this.currentContainer&&s.item[0]!==this.currentItem[0]||(n=this.options.toleranceElement?e(this.options.toleranceElement,s.item):s.item,t||(s.width=n.outerWidth(),s.height=n.outerHeight()),a=n.offset(),s.left=a.left,s.top=a.top);if(this.options.custom&&this.options.custom.refreshContainers)this.options.custom.refreshContainers.call(this);else for(i=this.containers.length-1;i>=0;i--)a=this.containers[i].element.offset(),this.containers[i].containerCache.left=a.left,this.containers[i].containerCache.top=a.top,this.containers[i].containerCache.width=this.containers[i].element.outerWidth(),this.containers[i].containerCache.height=this.containers[i].element.outerHeight();return this},_createPlaceholder:function(t){t=t||this;var i,s=t.options;s.placeholder&&s.placeholder.constructor!==String||(i=s.placeholder,s.placeholder={element:function(){var s=t.currentItem[0].nodeName.toLowerCase(),n=e("<"+s+">",t.document[0]).addClass(i||t.currentItem[0].className+" ui-sortable-placeholder").removeClass("ui-sortable-helper");return"tbody"===s?t._createTrPlaceholder(t.currentItem.find("tr").eq(0),e("<tr>",t.document[0]).appendTo(n)):"tr"===s?t._createTrPlaceholder(t.currentItem,n):"img"===s&&n.attr("src",t.currentItem.attr("src")),i||n.css("visibility","hidden"),n},update:function(e,n){(!i||s.forcePlaceholderSize)&&(n.height()||n.height(t.currentItem.innerHeight()-parseInt(t.currentItem.css("paddingTop")||0,10)-parseInt(t.currentItem.css("paddingBottom")||0,10)),n.width()||n.width(t.currentItem.innerWidth()-parseInt(t.currentItem.css("paddingLeft")||0,10)-parseInt(t.currentItem.css("paddingRight")||0,10)))}}),t.placeholder=e(s.placeholder.element.call(t.element,t.currentItem)),t.currentItem.after(t.placeholder),s.placeholder.update(t,t.placeholder)},_createTrPlaceholder:function(t,i){var s=this;t.children().each(function(){e("<td> </td>",s.document[0]).attr("colspan",e(this).attr("colspan")||1).appendTo(i)})},_contactContainers:function(t){var i,s,n,a,o,r,h,l,u,d,c=null,p=null;for(i=this.containers.length-1;i>=0;i--)if(!e.contains(this.currentItem[0],this.containers[i].element[0]))if(this._intersectsWith(this.containers[i].containerCache)){if(c&&e.contains(this.containers[i].element[0],c.element[0]))continue;c=this.containers[i],p=i}else this.containers[i].containerCache.over&&(this.containers[i]._trigger("out",t,this._uiHash(this)),this.containers[i].containerCache.over=0);if(c)if(1===this.containers.length)this.containers[p].containerCache.over||(this.containers[p]._trigger("over",t,this._uiHash(this)),this.containers[p].containerCache.over=1);else{for(n=1e4,a=null,u=c.floating||this._isFloating(this.currentItem),o=u?"left":"top",r=u?"width":"height",d=u?"clientX":"clientY",s=this.items.length-1;s>=0;s--)e.contains(this.containers[p].element[0],this.items[s].item[0])&&this.items[s].item[0]!==this.currentItem[0]&&(h=this.items[s].item.offset()[o],l=!1,t[d]-h>this.items[s][r]/2&&(l=!0),n>Math.abs(t[d]-h)&&(n=Math.abs(t[d]-h),a=this.items[s],this.direction=l?"up":"down"));if(!a&&!this.options.dropOnEmpty)return;if(this.currentContainer===this.containers[p])return this.currentContainer.containerCache.over||(this.containers[p]._trigger("over",t,this._uiHash()),this.currentContainer.containerCache.over=1),void 0;a?this._rearrange(t,a,null,!0):this._rearrange(t,null,this.containers[p].element,!0),this._trigger("change",t,this._uiHash()),this.containers[p]._trigger("change",t,this._uiHash(this)),this.currentContainer=this.containers[p],this.options.placeholder.update(this.currentContainer,this.placeholder),this.containers[p]._trigger("over",t,this._uiHash(this)),this.containers[p].containerCache.over=1}},_createHelper:function(t){var i=this.options,s=e.isFunction(i.helper)?e(i.helper.apply(this.element[0],[t,this.currentItem])):"clone"===i.helper?this.currentItem.clone():this.currentItem;return s.parents("body").length||e("parent"!==i.appendTo?i.appendTo:this.currentItem[0].parentNode)[0].appendChild(s[0]),s[0]===this.currentItem[0]&&(this._storedCSS={width:this.currentItem[0].style.width,height:this.currentItem[0].style.height,position:this.currentItem.css("position"),top:this.currentItem.css("top"),left:this.currentItem.css("left")}),(!s[0].style.width||i.forceHelperSize)&&s.width(this.currentItem.width()),(!s[0].style.height||i.forceHelperSize)&&s.height(this.currentItem.height()),s},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),e.isArray(t)&&(t={left:+t[0],top:+t[1]||0}),"left"in t&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_getParentOffset:function(){this.offsetParent=this.helper.offsetParent();var t=this.offsetParent.offset();return"absolute"===this.cssPosition&&this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),(this.offsetParent[0]===this.document[0].body||this.offsetParent[0].tagName&&"html"===this.offsetParent[0].tagName.toLowerCase()&&e.ui.ie)&&(t={top:0,left:0}),{top:t.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"===this.cssPosition){var e=this.currentItem.position();return{top:e.top-(parseInt(this.helper.css("top"),10)||0)+this.scrollParent.scrollTop(),left:e.left-(parseInt(this.helper.css("left"),10)||0)+this.scrollParent.scrollLeft()}}return{top:0,left:0}},_cacheMargins:function(){this.margins={left:parseInt(this.currentItem.css("marginLeft"),10)||0,top:parseInt(this.currentItem.css("marginTop"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,i,s,n=this.options;"parent"===n.containment&&(n.containment=this.helper[0].parentNode),("document"===n.containment||"window"===n.containment)&&(this.containment=[0-this.offset.relative.left-this.offset.parent.left,0-this.offset.relative.top-this.offset.parent.top,"document"===n.containment?this.document.width():this.window.width()-this.helperProportions.width-this.margins.left,("document"===n.containment?this.document.width():this.window.height()||this.document[0].body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top]),/^(document|window|parent)$/.test(n.containment)||(t=e(n.containment)[0],i=e(n.containment).offset(),s="hidden"!==e(t).css("overflow"),this.containment=[i.left+(parseInt(e(t).css("borderLeftWidth"),10)||0)+(parseInt(e(t).css("paddingLeft"),10)||0)-this.margins.left,i.top+(parseInt(e(t).css("borderTopWidth"),10)||0)+(parseInt(e(t).css("paddingTop"),10)||0)-this.margins.top,i.left+(s?Math.max(t.scrollWidth,t.offsetWidth):t.offsetWidth)-(parseInt(e(t).css("borderLeftWidth"),10)||0)-(parseInt(e(t).css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left,i.top+(s?Math.max(t.scrollHeight,t.offsetHeight):t.offsetHeight)-(parseInt(e(t).css("borderTopWidth"),10)||0)-(parseInt(e(t).css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top])},_convertPositionTo:function(t,i){i||(i=this.position);var s="absolute"===t?1:-1,n="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,a=/(html|body)/i.test(n[0].tagName);return{top:i.top+this.offset.relative.top*s+this.offset.parent.top*s-("fixed"===this.cssPosition?-this.scrollParent.scrollTop():a?0:n.scrollTop())*s,left:i.left+this.offset.relative.left*s+this.offset.parent.left*s-("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():a?0:n.scrollLeft())*s}},_generatePosition:function(t){var i,s,n=this.options,a=t.pageX,o=t.pageY,r="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,h=/(html|body)/i.test(r[0].tagName);return"relative"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&this.scrollParent[0]!==this.offsetParent[0]||(this.offset.relative=this._getRelativeOffset()),this.originalPosition&&(this.containment&&(t.pageX-this.offset.click.left<this.containment[0]&&(a=this.containment[0]+this.offset.click.left),t.pageY-this.offset.click.top<this.containment[1]&&(o=this.containment[1]+this.offset.click.top),t.pageX-this.offset.click.left>this.containment[2]&&(a=this.containment[2]+this.offset.click.left),t.pageY-this.offset.click.top>this.containment[3]&&(o=this.containment[3]+this.offset.click.top)),n.grid&&(i=this.originalPageY+Math.round((o-this.originalPageY)/n.grid[1])*n.grid[1],o=this.containment?i-this.offset.click.top>=this.containment[1]&&i-this.offset.click.top<=this.containment[3]?i:i-this.offset.click.top>=this.containment[1]?i-n.grid[1]:i+n.grid[1]:i,s=this.originalPageX+Math.round((a-this.originalPageX)/n.grid[0])*n.grid[0],a=this.containment?s-this.offset.click.left>=this.containment[0]&&s-this.offset.click.left<=this.containment[2]?s:s-this.offset.click.left>=this.containment[0]?s-n.grid[0]:s+n.grid[0]:s)),{top:o-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.scrollParent.scrollTop():h?0:r.scrollTop()),left:a-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():h?0:r.scrollLeft())}},_rearrange:function(e,t,i,s){i?i[0].appendChild(this.placeholder[0]):t.item[0].parentNode.insertBefore(this.placeholder[0],"down"===this.direction?t.item[0]:t.item[0].nextSibling),this.counter=this.counter?++this.counter:1;var n=this.counter;this._delay(function(){n===this.counter&&this.refreshPositions(!s)})},_clear:function(e,t){function i(e,t,i){return function(s){i._trigger(e,s,t._uiHash(t))}}this.reverting=!1;var s,n=[];if(!this._noFinalSort&&this.currentItem.parent().length&&this.placeholder.before(this.currentItem),this._noFinalSort=null,this.helper[0]===this.currentItem[0]){for(s in this._storedCSS)("auto"===this._storedCSS[s]||"static"===this._storedCSS[s])&&(this._storedCSS[s]="");this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper")}else this.currentItem.show();for(this.fromOutside&&!t&&n.push(function(e){this._trigger("receive",e,this._uiHash(this.fromOutside))}),!this.fromOutside&&this.domPosition.prev===this.currentItem.prev().not(".ui-sortable-helper")[0]&&this.domPosition.parent===this.currentItem.parent()[0]||t||n.push(function(e){this._trigger("update",e,this._uiHash())}),this!==this.currentContainer&&(t||(n.push(function(e){this._trigger("remove",e,this._uiHash())}),n.push(function(e){return function(t){e._trigger("receive",t,this._uiHash(this))}}.call(this,this.currentContainer)),n.push(function(e){return function(t){e._trigger("update",t,this._uiHash(this))}}.call(this,this.currentContainer)))),s=this.containers.length-1;s>=0;s--)t||n.push(i("deactivate",this,this.containers[s])),this.containers[s].containerCache.over&&(n.push(i("out",this,this.containers[s])),this.containers[s].containerCache.over=0);if(this.storedCursor&&(this.document.find("body").css("cursor",this.storedCursor),this.storedStylesheet.remove()),this._storedOpacity&&this.helper.css("opacity",this._storedOpacity),this._storedZIndex&&this.helper.css("zIndex","auto"===this._storedZIndex?"":this._storedZIndex),this.dragging=!1,t||this._trigger("beforeStop",e,this._uiHash()),this.placeholder[0].parentNode.removeChild(this.placeholder[0]),this.cancelHelperRemoval||(this.helper[0]!==this.currentItem[0]&&this.helper.remove(),this.helper=null),!t){for(s=0;n.length>s;s++)n[s].call(this,e);this._trigger("stop",e,this._uiHash())}return this.fromOutside=!1,!this.cancelHelperRemoval},_trigger:function(){e.Widget.prototype._trigger.apply(this,arguments)===!1&&this.cancel()},_uiHash:function(t){var i=t||this;return{helper:i.helper,placeholder:i.placeholder||e([]),position:i.position,originalPosition:i.originalPosition,offset:i.positionAbs,item:i.currentItem,sender:t?t.element:null}}}),e.widget("ui.accordion",{version:"1.11.4",options:{active:0,animate:{},collapsible:!1,event:"click",header:"> li > :first-child,> :not(li):even",heightStyle:"auto",icons:{activeHeader:"ui-icon-triangle-1-s",header:"ui-icon-triangle-1-e"},activate:null,beforeActivate:null},hideProps:{borderTopWidth:"hide",borderBottomWidth:"hide",paddingTop:"hide",paddingBottom:"hide",height:"hide"},showProps:{borderTopWidth:"show",borderBottomWidth:"show",paddingTop:"show",paddingBottom:"show",height:"show"},_create:function(){var t=this.options;this.prevShow=this.prevHide=e(),this.element.addClass("ui-accordion ui-widget ui-helper-reset").attr("role","tablist"),t.collapsible||t.active!==!1&&null!=t.active||(t.active=0),this._processPanels(),0>t.active&&(t.active+=this.headers.length),this._refresh()},_getCreateEventData:function(){return{header:this.active,panel:this.active.length?this.active.next():e()}},_createIcons:function(){var t=this.options.icons;t&&(e("<span>").addClass("ui-accordion-header-icon ui-icon "+t.header).prependTo(this.headers),this.active.children(".ui-accordion-header-icon").removeClass(t.header).addClass(t.activeHeader),this.headers.addClass("ui-accordion-icons"))},_destroyIcons:function(){this.headers.removeClass("ui-accordion-icons").children(".ui-accordion-header-icon").remove()},_destroy:function(){var e;this.element.removeClass("ui-accordion ui-widget ui-helper-reset").removeAttr("role"),this.headers.removeClass("ui-accordion-header ui-accordion-header-active ui-state-default ui-corner-all ui-state-active ui-state-disabled ui-corner-top").removeAttr("role").removeAttr("aria-expanded").removeAttr("aria-selected").removeAttr("aria-controls").removeAttr("tabIndex").removeUniqueId(),this._destroyIcons(),e=this.headers.next().removeClass("ui-helper-reset ui-widget-content ui-corner-bottom ui-accordion-content ui-accordion-content-active ui-state-disabled").css("display","").removeAttr("role").removeAttr("aria-hidden").removeAttr("aria-labelledby").removeUniqueId(),"content"!==this.options.heightStyle&&e.css("height","")},_setOption:function(e,t){return"active"===e?(this._activate(t),void 0):("event"===e&&(this.options.event&&this._off(this.headers,this.options.event),this._setupEvents(t)),this._super(e,t),"collapsible"!==e||t||this.options.active!==!1||this._activate(0),"icons"===e&&(this._destroyIcons(),t&&this._createIcons()),"disabled"===e&&(this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this.headers.add(this.headers.next()).toggleClass("ui-state-disabled",!!t)),void 0)},_keydown:function(t){if(!t.altKey&&!t.ctrlKey){var i=e.ui.keyCode,s=this.headers.length,n=this.headers.index(t.target),a=!1;switch(t.keyCode){case i.RIGHT:case i.DOWN:a=this.headers[(n+1)%s];break;case i.LEFT:case i.UP:a=this.headers[(n-1+s)%s];break;case i.SPACE:case i.ENTER:this._eventHandler(t);break;case i.HOME:a=this.headers[0];break;case i.END:a=this.headers[s-1]}a&&(e(t.target).attr("tabIndex",-1),e(a).attr("tabIndex",0),a.focus(),t.preventDefault())}},_panelKeyDown:function(t){t.keyCode===e.ui.keyCode.UP&&t.ctrlKey&&e(t.currentTarget).prev().focus()},refresh:function(){var t=this.options;this._processPanels(),t.active===!1&&t.collapsible===!0||!this.headers.length?(t.active=!1,this.active=e()):t.active===!1?this._activate(0):this.active.length&&!e.contains(this.element[0],this.active[0])?this.headers.length===this.headers.find(".ui-state-disabled").length?(t.active=!1,this.active=e()):this._activate(Math.max(0,t.active-1)):t.active=this.headers.index(this.active),this._destroyIcons(),this._refresh()},_processPanels:function(){var e=this.headers,t=this.panels;this.headers=this.element.find(this.options.header).addClass("ui-accordion-header ui-state-default ui-corner-all"),this.panels=this.headers.next().addClass("ui-accordion-content ui-helper-reset ui-widget-content ui-corner-bottom").filter(":not(.ui-accordion-content-active)").hide(),t&&(this._off(e.not(this.headers)),this._off(t.not(this.panels)))},_refresh:function(){var t,i=this.options,s=i.heightStyle,n=this.element.parent();this.active=this._findActive(i.active).addClass("ui-accordion-header-active ui-state-active ui-corner-top").removeClass("ui-corner-all"),this.active.next().addClass("ui-accordion-content-active").show(),this.headers.attr("role","tab").each(function(){var t=e(this),i=t.uniqueId().attr("id"),s=t.next(),n=s.uniqueId().attr("id");t.attr("aria-controls",n),s.attr("aria-labelledby",i)}).next().attr("role","tabpanel"),this.headers.not(this.active).attr({"aria-selected":"false","aria-expanded":"false",tabIndex:-1}).next().attr({"aria-hidden":"true"}).hide(),this.active.length?this.active.attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0}).next().attr({"aria-hidden":"false"}):this.headers.eq(0).attr("tabIndex",0),this._createIcons(),this._setupEvents(i.event),"fill"===s?(t=n.height(),this.element.siblings(":visible").each(function(){var i=e(this),s=i.css("position");"absolute"!==s&&"fixed"!==s&&(t-=i.outerHeight(!0))}),this.headers.each(function(){t-=e(this).outerHeight(!0)}),this.headers.next().each(function(){e(this).height(Math.max(0,t-e(this).innerHeight()+e(this).height()))}).css("overflow","auto")):"auto"===s&&(t=0,this.headers.next().each(function(){t=Math.max(t,e(this).css("height","").height())}).height(t))},_activate:function(t){var i=this._findActive(t)[0];i!==this.active[0]&&(i=i||this.active[0],this._eventHandler({target:i,currentTarget:i,preventDefault:e.noop}))},_findActive:function(t){return"number"==typeof t?this.headers.eq(t):e()},_setupEvents:function(t){var i={keydown:"_keydown"};t&&e.each(t.split(" "),function(e,t){i[t]="_eventHandler"}),this._off(this.headers.add(this.headers.next())),this._on(this.headers,i),this._on(this.headers.next(),{keydown:"_panelKeyDown"}),this._hoverable(this.headers),this._focusable(this.headers)},_eventHandler:function(t){var i=this.options,s=this.active,n=e(t.currentTarget),a=n[0]===s[0],o=a&&i.collapsible,r=o?e():n.next(),h=s.next(),l={oldHeader:s,oldPanel:h,newHeader:o?e():n,newPanel:r}; +t.preventDefault(),a&&!i.collapsible||this._trigger("beforeActivate",t,l)===!1||(i.active=o?!1:this.headers.index(n),this.active=a?e():n,this._toggle(l),s.removeClass("ui-accordion-header-active ui-state-active"),i.icons&&s.children(".ui-accordion-header-icon").removeClass(i.icons.activeHeader).addClass(i.icons.header),a||(n.removeClass("ui-corner-all").addClass("ui-accordion-header-active ui-state-active ui-corner-top"),i.icons&&n.children(".ui-accordion-header-icon").removeClass(i.icons.header).addClass(i.icons.activeHeader),n.next().addClass("ui-accordion-content-active")))},_toggle:function(t){var i=t.newPanel,s=this.prevShow.length?this.prevShow:t.oldPanel;this.prevShow.add(this.prevHide).stop(!0,!0),this.prevShow=i,this.prevHide=s,this.options.animate?this._animate(i,s,t):(s.hide(),i.show(),this._toggleComplete(t)),s.attr({"aria-hidden":"true"}),s.prev().attr({"aria-selected":"false","aria-expanded":"false"}),i.length&&s.length?s.prev().attr({tabIndex:-1,"aria-expanded":"false"}):i.length&&this.headers.filter(function(){return 0===parseInt(e(this).attr("tabIndex"),10)}).attr("tabIndex",-1),i.attr("aria-hidden","false").prev().attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0})},_animate:function(e,t,i){var s,n,a,o=this,r=0,h=e.css("box-sizing"),l=e.length&&(!t.length||e.index()<t.index()),u=this.options.animate||{},d=l&&u.down||u,c=function(){o._toggleComplete(i)};return"number"==typeof d&&(a=d),"string"==typeof d&&(n=d),n=n||d.easing||u.easing,a=a||d.duration||u.duration,t.length?e.length?(s=e.show().outerHeight(),t.animate(this.hideProps,{duration:a,easing:n,step:function(e,t){t.now=Math.round(e)}}),e.hide().animate(this.showProps,{duration:a,easing:n,complete:c,step:function(e,i){i.now=Math.round(e),"height"!==i.prop?"content-box"===h&&(r+=i.now):"content"!==o.options.heightStyle&&(i.now=Math.round(s-t.outerHeight()-r),r=0)}}),void 0):t.animate(this.hideProps,a,n,c):e.animate(this.showProps,a,n,c)},_toggleComplete:function(e){var t=e.oldPanel;t.removeClass("ui-accordion-content-active").prev().removeClass("ui-corner-top").addClass("ui-corner-all"),t.length&&(t.parent()[0].className=t.parent()[0].className),this._trigger("activate",null,e)}}),e.widget("ui.menu",{version:"1.11.4",defaultElement:"<ul>",delay:300,options:{icons:{submenu:"ui-icon-carat-1-e"},items:"> *",menus:"ul",position:{my:"left-1 top",at:"right top"},role:"menu",blur:null,focus:null,select:null},_create:function(){this.activeMenu=this.element,this.mouseHandled=!1,this.element.uniqueId().addClass("ui-menu ui-widget ui-widget-content").toggleClass("ui-menu-icons",!!this.element.find(".ui-icon").length).attr({role:this.options.role,tabIndex:0}),this.options.disabled&&this.element.addClass("ui-state-disabled").attr("aria-disabled","true"),this._on({"mousedown .ui-menu-item":function(e){e.preventDefault()},"click .ui-menu-item":function(t){var i=e(t.target);!this.mouseHandled&&i.not(".ui-state-disabled").length&&(this.select(t),t.isPropagationStopped()||(this.mouseHandled=!0),i.has(".ui-menu").length?this.expand(t):!this.element.is(":focus")&&e(this.document[0].activeElement).closest(".ui-menu").length&&(this.element.trigger("focus",[!0]),this.active&&1===this.active.parents(".ui-menu").length&&clearTimeout(this.timer)))},"mouseenter .ui-menu-item":function(t){if(!this.previousFilter){var i=e(t.currentTarget);i.siblings(".ui-state-active").removeClass("ui-state-active"),this.focus(t,i)}},mouseleave:"collapseAll","mouseleave .ui-menu":"collapseAll",focus:function(e,t){var i=this.active||this.element.find(this.options.items).eq(0);t||this.focus(e,i)},blur:function(t){this._delay(function(){e.contains(this.element[0],this.document[0].activeElement)||this.collapseAll(t)})},keydown:"_keydown"}),this.refresh(),this._on(this.document,{click:function(e){this._closeOnDocumentClick(e)&&this.collapseAll(e),this.mouseHandled=!1}})},_destroy:function(){this.element.removeAttr("aria-activedescendant").find(".ui-menu").addBack().removeClass("ui-menu ui-widget ui-widget-content ui-menu-icons ui-front").removeAttr("role").removeAttr("tabIndex").removeAttr("aria-labelledby").removeAttr("aria-expanded").removeAttr("aria-hidden").removeAttr("aria-disabled").removeUniqueId().show(),this.element.find(".ui-menu-item").removeClass("ui-menu-item").removeAttr("role").removeAttr("aria-disabled").removeUniqueId().removeClass("ui-state-hover").removeAttr("tabIndex").removeAttr("role").removeAttr("aria-haspopup").children().each(function(){var t=e(this);t.data("ui-menu-submenu-carat")&&t.remove()}),this.element.find(".ui-menu-divider").removeClass("ui-menu-divider ui-widget-content")},_keydown:function(t){var i,s,n,a,o=!0;switch(t.keyCode){case e.ui.keyCode.PAGE_UP:this.previousPage(t);break;case e.ui.keyCode.PAGE_DOWN:this.nextPage(t);break;case e.ui.keyCode.HOME:this._move("first","first",t);break;case e.ui.keyCode.END:this._move("last","last",t);break;case e.ui.keyCode.UP:this.previous(t);break;case e.ui.keyCode.DOWN:this.next(t);break;case e.ui.keyCode.LEFT:this.collapse(t);break;case e.ui.keyCode.RIGHT:this.active&&!this.active.is(".ui-state-disabled")&&this.expand(t);break;case e.ui.keyCode.ENTER:case e.ui.keyCode.SPACE:this._activate(t);break;case e.ui.keyCode.ESCAPE:this.collapse(t);break;default:o=!1,s=this.previousFilter||"",n=String.fromCharCode(t.keyCode),a=!1,clearTimeout(this.filterTimer),n===s?a=!0:n=s+n,i=this._filterMenuItems(n),i=a&&-1!==i.index(this.active.next())?this.active.nextAll(".ui-menu-item"):i,i.length||(n=String.fromCharCode(t.keyCode),i=this._filterMenuItems(n)),i.length?(this.focus(t,i),this.previousFilter=n,this.filterTimer=this._delay(function(){delete this.previousFilter},1e3)):delete this.previousFilter}o&&t.preventDefault()},_activate:function(e){this.active.is(".ui-state-disabled")||(this.active.is("[aria-haspopup='true']")?this.expand(e):this.select(e))},refresh:function(){var t,i,s=this,n=this.options.icons.submenu,a=this.element.find(this.options.menus);this.element.toggleClass("ui-menu-icons",!!this.element.find(".ui-icon").length),a.filter(":not(.ui-menu)").addClass("ui-menu ui-widget ui-widget-content ui-front").hide().attr({role:this.options.role,"aria-hidden":"true","aria-expanded":"false"}).each(function(){var t=e(this),i=t.parent(),s=e("<span>").addClass("ui-menu-icon ui-icon "+n).data("ui-menu-submenu-carat",!0);i.attr("aria-haspopup","true").prepend(s),t.attr("aria-labelledby",i.attr("id"))}),t=a.add(this.element),i=t.find(this.options.items),i.not(".ui-menu-item").each(function(){var t=e(this);s._isDivider(t)&&t.addClass("ui-widget-content ui-menu-divider")}),i.not(".ui-menu-item, .ui-menu-divider").addClass("ui-menu-item").uniqueId().attr({tabIndex:-1,role:this._itemRole()}),i.filter(".ui-state-disabled").attr("aria-disabled","true"),this.active&&!e.contains(this.element[0],this.active[0])&&this.blur()},_itemRole:function(){return{menu:"menuitem",listbox:"option"}[this.options.role]},_setOption:function(e,t){"icons"===e&&this.element.find(".ui-menu-icon").removeClass(this.options.icons.submenu).addClass(t.submenu),"disabled"===e&&this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this._super(e,t)},focus:function(e,t){var i,s;this.blur(e,e&&"focus"===e.type),this._scrollIntoView(t),this.active=t.first(),s=this.active.addClass("ui-state-focus").removeClass("ui-state-active"),this.options.role&&this.element.attr("aria-activedescendant",s.attr("id")),this.active.parent().closest(".ui-menu-item").addClass("ui-state-active"),e&&"keydown"===e.type?this._close():this.timer=this._delay(function(){this._close()},this.delay),i=t.children(".ui-menu"),i.length&&e&&/^mouse/.test(e.type)&&this._startOpening(i),this.activeMenu=t.parent(),this._trigger("focus",e,{item:t})},_scrollIntoView:function(t){var i,s,n,a,o,r;this._hasScroll()&&(i=parseFloat(e.css(this.activeMenu[0],"borderTopWidth"))||0,s=parseFloat(e.css(this.activeMenu[0],"paddingTop"))||0,n=t.offset().top-this.activeMenu.offset().top-i-s,a=this.activeMenu.scrollTop(),o=this.activeMenu.height(),r=t.outerHeight(),0>n?this.activeMenu.scrollTop(a+n):n+r>o&&this.activeMenu.scrollTop(a+n-o+r))},blur:function(e,t){t||clearTimeout(this.timer),this.active&&(this.active.removeClass("ui-state-focus"),this.active=null,this._trigger("blur",e,{item:this.active}))},_startOpening:function(e){clearTimeout(this.timer),"true"===e.attr("aria-hidden")&&(this.timer=this._delay(function(){this._close(),this._open(e)},this.delay))},_open:function(t){var i=e.extend({of:this.active},this.options.position);clearTimeout(this.timer),this.element.find(".ui-menu").not(t.parents(".ui-menu")).hide().attr("aria-hidden","true"),t.show().removeAttr("aria-hidden").attr("aria-expanded","true").position(i)},collapseAll:function(t,i){clearTimeout(this.timer),this.timer=this._delay(function(){var s=i?this.element:e(t&&t.target).closest(this.element.find(".ui-menu"));s.length||(s=this.element),this._close(s),this.blur(t),this.activeMenu=s},this.delay)},_close:function(e){e||(e=this.active?this.active.parent():this.element),e.find(".ui-menu").hide().attr("aria-hidden","true").attr("aria-expanded","false").end().find(".ui-state-active").not(".ui-state-focus").removeClass("ui-state-active")},_closeOnDocumentClick:function(t){return!e(t.target).closest(".ui-menu").length},_isDivider:function(e){return!/[^\-\u2014\u2013\s]/.test(e.text())},collapse:function(e){var t=this.active&&this.active.parent().closest(".ui-menu-item",this.element);t&&t.length&&(this._close(),this.focus(e,t))},expand:function(e){var t=this.active&&this.active.children(".ui-menu ").find(this.options.items).first();t&&t.length&&(this._open(t.parent()),this._delay(function(){this.focus(e,t)}))},next:function(e){this._move("next","first",e)},previous:function(e){this._move("prev","last",e)},isFirstItem:function(){return this.active&&!this.active.prevAll(".ui-menu-item").length},isLastItem:function(){return this.active&&!this.active.nextAll(".ui-menu-item").length},_move:function(e,t,i){var s;this.active&&(s="first"===e||"last"===e?this.active["first"===e?"prevAll":"nextAll"](".ui-menu-item").eq(-1):this.active[e+"All"](".ui-menu-item").eq(0)),s&&s.length&&this.active||(s=this.activeMenu.find(this.options.items)[t]()),this.focus(i,s)},nextPage:function(t){var i,s,n;return this.active?(this.isLastItem()||(this._hasScroll()?(s=this.active.offset().top,n=this.element.height(),this.active.nextAll(".ui-menu-item").each(function(){return i=e(this),0>i.offset().top-s-n}),this.focus(t,i)):this.focus(t,this.activeMenu.find(this.options.items)[this.active?"last":"first"]())),void 0):(this.next(t),void 0)},previousPage:function(t){var i,s,n;return this.active?(this.isFirstItem()||(this._hasScroll()?(s=this.active.offset().top,n=this.element.height(),this.active.prevAll(".ui-menu-item").each(function(){return i=e(this),i.offset().top-s+n>0}),this.focus(t,i)):this.focus(t,this.activeMenu.find(this.options.items).first())),void 0):(this.next(t),void 0)},_hasScroll:function(){return this.element.outerHeight()<this.element.prop("scrollHeight")},select:function(t){this.active=this.active||e(t.target).closest(".ui-menu-item");var i={item:this.active};this.active.has(".ui-menu").length||this.collapseAll(t,!0),this._trigger("select",t,i)},_filterMenuItems:function(t){var i=t.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&"),s=RegExp("^"+i,"i");return this.activeMenu.find(this.options.items).filter(".ui-menu-item").filter(function(){return s.test(e.trim(e(this).text()))})}}),e.widget("ui.autocomplete",{version:"1.11.4",defaultElement:"<input>",options:{appendTo:null,autoFocus:!1,delay:300,minLength:1,position:{my:"left top",at:"left bottom",collision:"none"},source:null,change:null,close:null,focus:null,open:null,response:null,search:null,select:null},requestIndex:0,pending:0,_create:function(){var t,i,s,n=this.element[0].nodeName.toLowerCase(),a="textarea"===n,o="input"===n;this.isMultiLine=a?!0:o?!1:this.element.prop("isContentEditable"),this.valueMethod=this.element[a||o?"val":"text"],this.isNewMenu=!0,this.element.addClass("ui-autocomplete-input").attr("autocomplete","off"),this._on(this.element,{keydown:function(n){if(this.element.prop("readOnly"))return t=!0,s=!0,i=!0,void 0;t=!1,s=!1,i=!1;var a=e.ui.keyCode;switch(n.keyCode){case a.PAGE_UP:t=!0,this._move("previousPage",n);break;case a.PAGE_DOWN:t=!0,this._move("nextPage",n);break;case a.UP:t=!0,this._keyEvent("previous",n);break;case a.DOWN:t=!0,this._keyEvent("next",n);break;case a.ENTER:this.menu.active&&(t=!0,n.preventDefault(),this.menu.select(n));break;case a.TAB:this.menu.active&&this.menu.select(n);break;case a.ESCAPE:this.menu.element.is(":visible")&&(this.isMultiLine||this._value(this.term),this.close(n),n.preventDefault());break;default:i=!0,this._searchTimeout(n)}},keypress:function(s){if(t)return t=!1,(!this.isMultiLine||this.menu.element.is(":visible"))&&s.preventDefault(),void 0;if(!i){var n=e.ui.keyCode;switch(s.keyCode){case n.PAGE_UP:this._move("previousPage",s);break;case n.PAGE_DOWN:this._move("nextPage",s);break;case n.UP:this._keyEvent("previous",s);break;case n.DOWN:this._keyEvent("next",s)}}},input:function(e){return s?(s=!1,e.preventDefault(),void 0):(this._searchTimeout(e),void 0)},focus:function(){this.selectedItem=null,this.previous=this._value()},blur:function(e){return this.cancelBlur?(delete this.cancelBlur,void 0):(clearTimeout(this.searching),this.close(e),this._change(e),void 0)}}),this._initSource(),this.menu=e("<ul>").addClass("ui-autocomplete ui-front").appendTo(this._appendTo()).menu({role:null}).hide().menu("instance"),this._on(this.menu.element,{mousedown:function(t){t.preventDefault(),this.cancelBlur=!0,this._delay(function(){delete this.cancelBlur});var i=this.menu.element[0];e(t.target).closest(".ui-menu-item").length||this._delay(function(){var t=this;this.document.one("mousedown",function(s){s.target===t.element[0]||s.target===i||e.contains(i,s.target)||t.close()})})},menufocus:function(t,i){var s,n;return this.isNewMenu&&(this.isNewMenu=!1,t.originalEvent&&/^mouse/.test(t.originalEvent.type))?(this.menu.blur(),this.document.one("mousemove",function(){e(t.target).trigger(t.originalEvent)}),void 0):(n=i.item.data("ui-autocomplete-item"),!1!==this._trigger("focus",t,{item:n})&&t.originalEvent&&/^key/.test(t.originalEvent.type)&&this._value(n.value),s=i.item.attr("aria-label")||n.value,s&&e.trim(s).length&&(this.liveRegion.children().hide(),e("<div>").text(s).appendTo(this.liveRegion)),void 0)},menuselect:function(e,t){var i=t.item.data("ui-autocomplete-item"),s=this.previous;this.element[0]!==this.document[0].activeElement&&(this.element.focus(),this.previous=s,this._delay(function(){this.previous=s,this.selectedItem=i})),!1!==this._trigger("select",e,{item:i})&&this._value(i.value),this.term=this._value(),this.close(e),this.selectedItem=i}}),this.liveRegion=e("<span>",{role:"status","aria-live":"assertive","aria-relevant":"additions"}).addClass("ui-helper-hidden-accessible").appendTo(this.document[0].body),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_destroy:function(){clearTimeout(this.searching),this.element.removeClass("ui-autocomplete-input").removeAttr("autocomplete"),this.menu.element.remove(),this.liveRegion.remove()},_setOption:function(e,t){this._super(e,t),"source"===e&&this._initSource(),"appendTo"===e&&this.menu.element.appendTo(this._appendTo()),"disabled"===e&&t&&this.xhr&&this.xhr.abort()},_appendTo:function(){var t=this.options.appendTo;return t&&(t=t.jquery||t.nodeType?e(t):this.document.find(t).eq(0)),t&&t[0]||(t=this.element.closest(".ui-front")),t.length||(t=this.document[0].body),t},_initSource:function(){var t,i,s=this;e.isArray(this.options.source)?(t=this.options.source,this.source=function(i,s){s(e.ui.autocomplete.filter(t,i.term))}):"string"==typeof this.options.source?(i=this.options.source,this.source=function(t,n){s.xhr&&s.xhr.abort(),s.xhr=e.ajax({url:i,data:t,dataType:"json",success:function(e){n(e)},error:function(){n([])}})}):this.source=this.options.source},_searchTimeout:function(e){clearTimeout(this.searching),this.searching=this._delay(function(){var t=this.term===this._value(),i=this.menu.element.is(":visible"),s=e.altKey||e.ctrlKey||e.metaKey||e.shiftKey;(!t||t&&!i&&!s)&&(this.selectedItem=null,this.search(null,e))},this.options.delay)},search:function(e,t){return e=null!=e?e:this._value(),this.term=this._value(),e.length<this.options.minLength?this.close(t):this._trigger("search",t)!==!1?this._search(e):void 0},_search:function(e){this.pending++,this.element.addClass("ui-autocomplete-loading"),this.cancelSearch=!1,this.source({term:e},this._response())},_response:function(){var t=++this.requestIndex;return e.proxy(function(e){t===this.requestIndex&&this.__response(e),this.pending--,this.pending||this.element.removeClass("ui-autocomplete-loading")},this)},__response:function(e){e&&(e=this._normalize(e)),this._trigger("response",null,{content:e}),!this.options.disabled&&e&&e.length&&!this.cancelSearch?(this._suggest(e),this._trigger("open")):this._close()},close:function(e){this.cancelSearch=!0,this._close(e)},_close:function(e){this.menu.element.is(":visible")&&(this.menu.element.hide(),this.menu.blur(),this.isNewMenu=!0,this._trigger("close",e))},_change:function(e){this.previous!==this._value()&&this._trigger("change",e,{item:this.selectedItem})},_normalize:function(t){return t.length&&t[0].label&&t[0].value?t:e.map(t,function(t){return"string"==typeof t?{label:t,value:t}:e.extend({},t,{label:t.label||t.value,value:t.value||t.label})})},_suggest:function(t){var i=this.menu.element.empty();this._renderMenu(i,t),this.isNewMenu=!0,this.menu.refresh(),i.show(),this._resizeMenu(),i.position(e.extend({of:this.element},this.options.position)),this.options.autoFocus&&this.menu.next()},_resizeMenu:function(){var e=this.menu.element;e.outerWidth(Math.max(e.width("").outerWidth()+1,this.element.outerWidth()))},_renderMenu:function(t,i){var s=this;e.each(i,function(e,i){s._renderItemData(t,i)})},_renderItemData:function(e,t){return this._renderItem(e,t).data("ui-autocomplete-item",t)},_renderItem:function(t,i){return e("<li>").text(i.label).appendTo(t)},_move:function(e,t){return this.menu.element.is(":visible")?this.menu.isFirstItem()&&/^previous/.test(e)||this.menu.isLastItem()&&/^next/.test(e)?(this.isMultiLine||this._value(this.term),this.menu.blur(),void 0):(this.menu[e](t),void 0):(this.search(null,t),void 0)},widget:function(){return this.menu.element},_value:function(){return this.valueMethod.apply(this.element,arguments)},_keyEvent:function(e,t){(!this.isMultiLine||this.menu.element.is(":visible"))&&(this._move(e,t),t.preventDefault())}}),e.extend(e.ui.autocomplete,{escapeRegex:function(e){return e.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&")},filter:function(t,i){var s=RegExp(e.ui.autocomplete.escapeRegex(i),"i");return e.grep(t,function(e){return s.test(e.label||e.value||e)})}}),e.widget("ui.autocomplete",e.ui.autocomplete,{options:{messages:{noResults:"No search results.",results:function(e){return e+(e>1?" results are":" result is")+" available, use up and down arrow keys to navigate."}}},__response:function(t){var i;this._superApply(arguments),this.options.disabled||this.cancelSearch||(i=t&&t.length?this.options.messages.results(t.length):this.options.messages.noResults,this.liveRegion.children().hide(),e("<div>").text(i).appendTo(this.liveRegion))}}),e.ui.autocomplete;var r,h="ui-button ui-widget ui-state-default ui-corner-all",l="ui-button-icons-only ui-button-icon-only ui-button-text-icons ui-button-text-icon-primary ui-button-text-icon-secondary ui-button-text-only",u=function(){var t=e(this);setTimeout(function(){t.find(":ui-button").button("refresh")},1)},d=function(t){var i=t.name,s=t.form,n=e([]);return i&&(i=i.replace(/'/g,"\\'"),n=s?e(s).find("[name='"+i+"'][type=radio]"):e("[name='"+i+"'][type=radio]",t.ownerDocument).filter(function(){return!this.form})),n};e.widget("ui.button",{version:"1.11.4",defaultElement:"<button>",options:{disabled:null,text:!0,label:null,icons:{primary:null,secondary:null}},_create:function(){this.element.closest("form").unbind("reset"+this.eventNamespace).bind("reset"+this.eventNamespace,u),"boolean"!=typeof this.options.disabled?this.options.disabled=!!this.element.prop("disabled"):this.element.prop("disabled",this.options.disabled),this._determineButtonType(),this.hasTitle=!!this.buttonElement.attr("title");var t=this,i=this.options,s="checkbox"===this.type||"radio"===this.type,n=s?"":"ui-state-active";null===i.label&&(i.label="input"===this.type?this.buttonElement.val():this.buttonElement.html()),this._hoverable(this.buttonElement),this.buttonElement.addClass(h).attr("role","button").bind("mouseenter"+this.eventNamespace,function(){i.disabled||this===r&&e(this).addClass("ui-state-active")}).bind("mouseleave"+this.eventNamespace,function(){i.disabled||e(this).removeClass(n)}).bind("click"+this.eventNamespace,function(e){i.disabled&&(e.preventDefault(),e.stopImmediatePropagation())}),this._on({focus:function(){this.buttonElement.addClass("ui-state-focus")},blur:function(){this.buttonElement.removeClass("ui-state-focus")}}),s&&this.element.bind("change"+this.eventNamespace,function(){t.refresh()}),"checkbox"===this.type?this.buttonElement.bind("click"+this.eventNamespace,function(){return i.disabled?!1:void 0}):"radio"===this.type?this.buttonElement.bind("click"+this.eventNamespace,function(){if(i.disabled)return!1;e(this).addClass("ui-state-active"),t.buttonElement.attr("aria-pressed","true");var s=t.element[0];d(s).not(s).map(function(){return e(this).button("widget")[0]}).removeClass("ui-state-active").attr("aria-pressed","false")}):(this.buttonElement.bind("mousedown"+this.eventNamespace,function(){return i.disabled?!1:(e(this).addClass("ui-state-active"),r=this,t.document.one("mouseup",function(){r=null}),void 0)}).bind("mouseup"+this.eventNamespace,function(){return i.disabled?!1:(e(this).removeClass("ui-state-active"),void 0)}).bind("keydown"+this.eventNamespace,function(t){return i.disabled?!1:((t.keyCode===e.ui.keyCode.SPACE||t.keyCode===e.ui.keyCode.ENTER)&&e(this).addClass("ui-state-active"),void 0)}).bind("keyup"+this.eventNamespace+" blur"+this.eventNamespace,function(){e(this).removeClass("ui-state-active")}),this.buttonElement.is("a")&&this.buttonElement.keyup(function(t){t.keyCode===e.ui.keyCode.SPACE&&e(this).click()})),this._setOption("disabled",i.disabled),this._resetButton()},_determineButtonType:function(){var e,t,i;this.type=this.element.is("[type=checkbox]")?"checkbox":this.element.is("[type=radio]")?"radio":this.element.is("input")?"input":"button","checkbox"===this.type||"radio"===this.type?(e=this.element.parents().last(),t="label[for='"+this.element.attr("id")+"']",this.buttonElement=e.find(t),this.buttonElement.length||(e=e.length?e.siblings():this.element.siblings(),this.buttonElement=e.filter(t),this.buttonElement.length||(this.buttonElement=e.find(t))),this.element.addClass("ui-helper-hidden-accessible"),i=this.element.is(":checked"),i&&this.buttonElement.addClass("ui-state-active"),this.buttonElement.prop("aria-pressed",i)):this.buttonElement=this.element},widget:function(){return this.buttonElement},_destroy:function(){this.element.removeClass("ui-helper-hidden-accessible"),this.buttonElement.removeClass(h+" ui-state-active "+l).removeAttr("role").removeAttr("aria-pressed").html(this.buttonElement.find(".ui-button-text").html()),this.hasTitle||this.buttonElement.removeAttr("title")},_setOption:function(e,t){return this._super(e,t),"disabled"===e?(this.widget().toggleClass("ui-state-disabled",!!t),this.element.prop("disabled",!!t),t&&("checkbox"===this.type||"radio"===this.type?this.buttonElement.removeClass("ui-state-focus"):this.buttonElement.removeClass("ui-state-focus ui-state-active")),void 0):(this._resetButton(),void 0)},refresh:function(){var t=this.element.is("input, button")?this.element.is(":disabled"):this.element.hasClass("ui-button-disabled");t!==this.options.disabled&&this._setOption("disabled",t),"radio"===this.type?d(this.element[0]).each(function(){e(this).is(":checked")?e(this).button("widget").addClass("ui-state-active").attr("aria-pressed","true"):e(this).button("widget").removeClass("ui-state-active").attr("aria-pressed","false")}):"checkbox"===this.type&&(this.element.is(":checked")?this.buttonElement.addClass("ui-state-active").attr("aria-pressed","true"):this.buttonElement.removeClass("ui-state-active").attr("aria-pressed","false"))},_resetButton:function(){if("input"===this.type)return this.options.label&&this.element.val(this.options.label),void 0;var t=this.buttonElement.removeClass(l),i=e("<span></span>",this.document[0]).addClass("ui-button-text").html(this.options.label).appendTo(t.empty()).text(),s=this.options.icons,n=s.primary&&s.secondary,a=[];s.primary||s.secondary?(this.options.text&&a.push("ui-button-text-icon"+(n?"s":s.primary?"-primary":"-secondary")),s.primary&&t.prepend("<span class='ui-button-icon-primary ui-icon "+s.primary+"'></span>"),s.secondary&&t.append("<span class='ui-button-icon-secondary ui-icon "+s.secondary+"'></span>"),this.options.text||(a.push(n?"ui-button-icons-only":"ui-button-icon-only"),this.hasTitle||t.attr("title",e.trim(i)))):a.push("ui-button-text-only"),t.addClass(a.join(" "))}}),e.widget("ui.buttonset",{version:"1.11.4",options:{items:"button, input[type=button], input[type=submit], input[type=reset], input[type=checkbox], input[type=radio], a, :data(ui-button)"},_create:function(){this.element.addClass("ui-buttonset")},_init:function(){this.refresh()},_setOption:function(e,t){"disabled"===e&&this.buttons.button("option",e,t),this._super(e,t)},refresh:function(){var t="rtl"===this.element.css("direction"),i=this.element.find(this.options.items),s=i.filter(":ui-button");i.not(":ui-button").button(),s.button("refresh"),this.buttons=i.map(function(){return e(this).button("widget")[0]}).removeClass("ui-corner-all ui-corner-left ui-corner-right").filter(":first").addClass(t?"ui-corner-right":"ui-corner-left").end().filter(":last").addClass(t?"ui-corner-left":"ui-corner-right").end().end()},_destroy:function(){this.element.removeClass("ui-buttonset"),this.buttons.map(function(){return e(this).button("widget")[0]}).removeClass("ui-corner-left ui-corner-right").end().button("destroy")}}),e.ui.button,e.widget("ui.dialog",{version:"1.11.4",options:{appendTo:"body",autoOpen:!0,buttons:[],closeOnEscape:!0,closeText:"Close",dialogClass:"",draggable:!0,hide:null,height:"auto",maxHeight:null,maxWidth:null,minHeight:150,minWidth:150,modal:!1,position:{my:"center",at:"center",of:window,collision:"fit",using:function(t){var i=e(this).css(t).offset().top;0>i&&e(this).css("top",t.top-i)}},resizable:!0,show:null,title:null,width:300,beforeClose:null,close:null,drag:null,dragStart:null,dragStop:null,focus:null,open:null,resize:null,resizeStart:null,resizeStop:null},sizeRelatedOptions:{buttons:!0,height:!0,maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0,width:!0},resizableRelatedOptions:{maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0},_create:function(){this.originalCss={display:this.element[0].style.display,width:this.element[0].style.width,minHeight:this.element[0].style.minHeight,maxHeight:this.element[0].style.maxHeight,height:this.element[0].style.height},this.originalPosition={parent:this.element.parent(),index:this.element.parent().children().index(this.element)},this.originalTitle=this.element.attr("title"),this.options.title=this.options.title||this.originalTitle,this._createWrapper(),this.element.show().removeAttr("title").addClass("ui-dialog-content ui-widget-content").appendTo(this.uiDialog),this._createTitlebar(),this._createButtonPane(),this.options.draggable&&e.fn.draggable&&this._makeDraggable(),this.options.resizable&&e.fn.resizable&&this._makeResizable(),this._isOpen=!1,this._trackFocus()},_init:function(){this.options.autoOpen&&this.open()},_appendTo:function(){var t=this.options.appendTo;return t&&(t.jquery||t.nodeType)?e(t):this.document.find(t||"body").eq(0)},_destroy:function(){var e,t=this.originalPosition;this._untrackInstance(),this._destroyOverlay(),this.element.removeUniqueId().removeClass("ui-dialog-content ui-widget-content").css(this.originalCss).detach(),this.uiDialog.stop(!0,!0).remove(),this.originalTitle&&this.element.attr("title",this.originalTitle),e=t.parent.children().eq(t.index),e.length&&e[0]!==this.element[0]?e.before(this.element):t.parent.append(this.element)},widget:function(){return this.uiDialog},disable:e.noop,enable:e.noop,close:function(t){var i,s=this;if(this._isOpen&&this._trigger("beforeClose",t)!==!1){if(this._isOpen=!1,this._focusedElement=null,this._destroyOverlay(),this._untrackInstance(),!this.opener.filter(":focusable").focus().length)try{i=this.document[0].activeElement,i&&"body"!==i.nodeName.toLowerCase()&&e(i).blur()}catch(n){}this._hide(this.uiDialog,this.options.hide,function(){s._trigger("close",t)})}},isOpen:function(){return this._isOpen},moveToTop:function(){this._moveToTop()},_moveToTop:function(t,i){var s=!1,n=this.uiDialog.siblings(".ui-front:visible").map(function(){return+e(this).css("z-index")}).get(),a=Math.max.apply(null,n);return a>=+this.uiDialog.css("z-index")&&(this.uiDialog.css("z-index",a+1),s=!0),s&&!i&&this._trigger("focus",t),s},open:function(){var t=this;return this._isOpen?(this._moveToTop()&&this._focusTabbable(),void 0):(this._isOpen=!0,this.opener=e(this.document[0].activeElement),this._size(),this._position(),this._createOverlay(),this._moveToTop(null,!0),this.overlay&&this.overlay.css("z-index",this.uiDialog.css("z-index")-1),this._show(this.uiDialog,this.options.show,function(){t._focusTabbable(),t._trigger("focus")}),this._makeFocusTarget(),this._trigger("open"),void 0)},_focusTabbable:function(){var e=this._focusedElement;e||(e=this.element.find("[autofocus]")),e.length||(e=this.element.find(":tabbable")),e.length||(e=this.uiDialogButtonPane.find(":tabbable")),e.length||(e=this.uiDialogTitlebarClose.filter(":tabbable")),e.length||(e=this.uiDialog),e.eq(0).focus()},_keepFocus:function(t){function i(){var t=this.document[0].activeElement,i=this.uiDialog[0]===t||e.contains(this.uiDialog[0],t);i||this._focusTabbable()}t.preventDefault(),i.call(this),this._delay(i)},_createWrapper:function(){this.uiDialog=e("<div>").addClass("ui-dialog ui-widget ui-widget-content ui-corner-all ui-front "+this.options.dialogClass).hide().attr({tabIndex:-1,role:"dialog"}).appendTo(this._appendTo()),this._on(this.uiDialog,{keydown:function(t){if(this.options.closeOnEscape&&!t.isDefaultPrevented()&&t.keyCode&&t.keyCode===e.ui.keyCode.ESCAPE)return t.preventDefault(),this.close(t),void 0;if(t.keyCode===e.ui.keyCode.TAB&&!t.isDefaultPrevented()){var i=this.uiDialog.find(":tabbable"),s=i.filter(":first"),n=i.filter(":last");t.target!==n[0]&&t.target!==this.uiDialog[0]||t.shiftKey?t.target!==s[0]&&t.target!==this.uiDialog[0]||!t.shiftKey||(this._delay(function(){n.focus()}),t.preventDefault()):(this._delay(function(){s.focus()}),t.preventDefault())}},mousedown:function(e){this._moveToTop(e)&&this._focusTabbable()}}),this.element.find("[aria-describedby]").length||this.uiDialog.attr({"aria-describedby":this.element.uniqueId().attr("id")})},_createTitlebar:function(){var t;this.uiDialogTitlebar=e("<div>").addClass("ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix").prependTo(this.uiDialog),this._on(this.uiDialogTitlebar,{mousedown:function(t){e(t.target).closest(".ui-dialog-titlebar-close")||this.uiDialog.focus()}}),this.uiDialogTitlebarClose=e("<button type='button'></button>").button({label:this.options.closeText,icons:{primary:"ui-icon-closethick"},text:!1}).addClass("ui-dialog-titlebar-close").appendTo(this.uiDialogTitlebar),this._on(this.uiDialogTitlebarClose,{click:function(e){e.preventDefault(),this.close(e)}}),t=e("<span>").uniqueId().addClass("ui-dialog-title").prependTo(this.uiDialogTitlebar),this._title(t),this.uiDialog.attr({"aria-labelledby":t.attr("id")})},_title:function(e){this.options.title||e.html(" "),e.text(this.options.title) +},_createButtonPane:function(){this.uiDialogButtonPane=e("<div>").addClass("ui-dialog-buttonpane ui-widget-content ui-helper-clearfix"),this.uiButtonSet=e("<div>").addClass("ui-dialog-buttonset").appendTo(this.uiDialogButtonPane),this._createButtons()},_createButtons:function(){var t=this,i=this.options.buttons;return this.uiDialogButtonPane.remove(),this.uiButtonSet.empty(),e.isEmptyObject(i)||e.isArray(i)&&!i.length?(this.uiDialog.removeClass("ui-dialog-buttons"),void 0):(e.each(i,function(i,s){var n,a;s=e.isFunction(s)?{click:s,text:i}:s,s=e.extend({type:"button"},s),n=s.click,s.click=function(){n.apply(t.element[0],arguments)},a={icons:s.icons,text:s.showText},delete s.icons,delete s.showText,e("<button></button>",s).button(a).appendTo(t.uiButtonSet)}),this.uiDialog.addClass("ui-dialog-buttons"),this.uiDialogButtonPane.appendTo(this.uiDialog),void 0)},_makeDraggable:function(){function t(e){return{position:e.position,offset:e.offset}}var i=this,s=this.options;this.uiDialog.draggable({cancel:".ui-dialog-content, .ui-dialog-titlebar-close",handle:".ui-dialog-titlebar",containment:"document",start:function(s,n){e(this).addClass("ui-dialog-dragging"),i._blockFrames(),i._trigger("dragStart",s,t(n))},drag:function(e,s){i._trigger("drag",e,t(s))},stop:function(n,a){var o=a.offset.left-i.document.scrollLeft(),r=a.offset.top-i.document.scrollTop();s.position={my:"left top",at:"left"+(o>=0?"+":"")+o+" "+"top"+(r>=0?"+":"")+r,of:i.window},e(this).removeClass("ui-dialog-dragging"),i._unblockFrames(),i._trigger("dragStop",n,t(a))}})},_makeResizable:function(){function t(e){return{originalPosition:e.originalPosition,originalSize:e.originalSize,position:e.position,size:e.size}}var i=this,s=this.options,n=s.resizable,a=this.uiDialog.css("position"),o="string"==typeof n?n:"n,e,s,w,se,sw,ne,nw";this.uiDialog.resizable({cancel:".ui-dialog-content",containment:"document",alsoResize:this.element,maxWidth:s.maxWidth,maxHeight:s.maxHeight,minWidth:s.minWidth,minHeight:this._minHeight(),handles:o,start:function(s,n){e(this).addClass("ui-dialog-resizing"),i._blockFrames(),i._trigger("resizeStart",s,t(n))},resize:function(e,s){i._trigger("resize",e,t(s))},stop:function(n,a){var o=i.uiDialog.offset(),r=o.left-i.document.scrollLeft(),h=o.top-i.document.scrollTop();s.height=i.uiDialog.height(),s.width=i.uiDialog.width(),s.position={my:"left top",at:"left"+(r>=0?"+":"")+r+" "+"top"+(h>=0?"+":"")+h,of:i.window},e(this).removeClass("ui-dialog-resizing"),i._unblockFrames(),i._trigger("resizeStop",n,t(a))}}).css("position",a)},_trackFocus:function(){this._on(this.widget(),{focusin:function(t){this._makeFocusTarget(),this._focusedElement=e(t.target)}})},_makeFocusTarget:function(){this._untrackInstance(),this._trackingInstances().unshift(this)},_untrackInstance:function(){var t=this._trackingInstances(),i=e.inArray(this,t);-1!==i&&t.splice(i,1)},_trackingInstances:function(){var e=this.document.data("ui-dialog-instances");return e||(e=[],this.document.data("ui-dialog-instances",e)),e},_minHeight:function(){var e=this.options;return"auto"===e.height?e.minHeight:Math.min(e.minHeight,e.height)},_position:function(){var e=this.uiDialog.is(":visible");e||this.uiDialog.show(),this.uiDialog.position(this.options.position),e||this.uiDialog.hide()},_setOptions:function(t){var i=this,s=!1,n={};e.each(t,function(e,t){i._setOption(e,t),e in i.sizeRelatedOptions&&(s=!0),e in i.resizableRelatedOptions&&(n[e]=t)}),s&&(this._size(),this._position()),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option",n)},_setOption:function(e,t){var i,s,n=this.uiDialog;"dialogClass"===e&&n.removeClass(this.options.dialogClass).addClass(t),"disabled"!==e&&(this._super(e,t),"appendTo"===e&&this.uiDialog.appendTo(this._appendTo()),"buttons"===e&&this._createButtons(),"closeText"===e&&this.uiDialogTitlebarClose.button({label:""+t}),"draggable"===e&&(i=n.is(":data(ui-draggable)"),i&&!t&&n.draggable("destroy"),!i&&t&&this._makeDraggable()),"position"===e&&this._position(),"resizable"===e&&(s=n.is(":data(ui-resizable)"),s&&!t&&n.resizable("destroy"),s&&"string"==typeof t&&n.resizable("option","handles",t),s||t===!1||this._makeResizable()),"title"===e&&this._title(this.uiDialogTitlebar.find(".ui-dialog-title")))},_size:function(){var e,t,i,s=this.options;this.element.show().css({width:"auto",minHeight:0,maxHeight:"none",height:0}),s.minWidth>s.width&&(s.width=s.minWidth),e=this.uiDialog.css({height:"auto",width:s.width}).outerHeight(),t=Math.max(0,s.minHeight-e),i="number"==typeof s.maxHeight?Math.max(0,s.maxHeight-e):"none","auto"===s.height?this.element.css({minHeight:t,maxHeight:i,height:"auto"}):this.element.height(Math.max(0,s.height-e)),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option","minHeight",this._minHeight())},_blockFrames:function(){this.iframeBlocks=this.document.find("iframe").map(function(){var t=e(this);return e("<div>").css({position:"absolute",width:t.outerWidth(),height:t.outerHeight()}).appendTo(t.parent()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_allowInteraction:function(t){return e(t.target).closest(".ui-dialog").length?!0:!!e(t.target).closest(".ui-datepicker").length},_createOverlay:function(){if(this.options.modal){var t=!0;this._delay(function(){t=!1}),this.document.data("ui-dialog-overlays")||this._on(this.document,{focusin:function(e){t||this._allowInteraction(e)||(e.preventDefault(),this._trackingInstances()[0]._focusTabbable())}}),this.overlay=e("<div>").addClass("ui-widget-overlay ui-front").appendTo(this._appendTo()),this._on(this.overlay,{mousedown:"_keepFocus"}),this.document.data("ui-dialog-overlays",(this.document.data("ui-dialog-overlays")||0)+1)}},_destroyOverlay:function(){if(this.options.modal&&this.overlay){var e=this.document.data("ui-dialog-overlays")-1;e?this.document.data("ui-dialog-overlays",e):this.document.unbind("focusin").removeData("ui-dialog-overlays"),this.overlay.remove(),this.overlay=null}}}),e.widget("ui.progressbar",{version:"1.11.4",options:{max:100,value:0,change:null,complete:null},min:0,_create:function(){this.oldValue=this.options.value=this._constrainedValue(),this.element.addClass("ui-progressbar ui-widget ui-widget-content ui-corner-all").attr({role:"progressbar","aria-valuemin":this.min}),this.valueDiv=e("<div class='ui-progressbar-value ui-widget-header ui-corner-left'></div>").appendTo(this.element),this._refreshValue()},_destroy:function(){this.element.removeClass("ui-progressbar ui-widget ui-widget-content ui-corner-all").removeAttr("role").removeAttr("aria-valuemin").removeAttr("aria-valuemax").removeAttr("aria-valuenow"),this.valueDiv.remove()},value:function(e){return void 0===e?this.options.value:(this.options.value=this._constrainedValue(e),this._refreshValue(),void 0)},_constrainedValue:function(e){return void 0===e&&(e=this.options.value),this.indeterminate=e===!1,"number"!=typeof e&&(e=0),this.indeterminate?!1:Math.min(this.options.max,Math.max(this.min,e))},_setOptions:function(e){var t=e.value;delete e.value,this._super(e),this.options.value=this._constrainedValue(t),this._refreshValue()},_setOption:function(e,t){"max"===e&&(t=Math.max(this.min,t)),"disabled"===e&&this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this._super(e,t)},_percentage:function(){return this.indeterminate?100:100*(this.options.value-this.min)/(this.options.max-this.min)},_refreshValue:function(){var t=this.options.value,i=this._percentage();this.valueDiv.toggle(this.indeterminate||t>this.min).toggleClass("ui-corner-right",t===this.options.max).width(i.toFixed(0)+"%"),this.element.toggleClass("ui-progressbar-indeterminate",this.indeterminate),this.indeterminate?(this.element.removeAttr("aria-valuenow"),this.overlayDiv||(this.overlayDiv=e("<div class='ui-progressbar-overlay'></div>").appendTo(this.valueDiv))):(this.element.attr({"aria-valuemax":this.options.max,"aria-valuenow":t}),this.overlayDiv&&(this.overlayDiv.remove(),this.overlayDiv=null)),this.oldValue!==t&&(this.oldValue=t,this._trigger("change")),t===this.options.max&&this._trigger("complete")}}),e.widget("ui.selectmenu",{version:"1.11.4",defaultElement:"<select>",options:{appendTo:null,disabled:null,icons:{button:"ui-icon-triangle-1-s"},position:{my:"left top",at:"left bottom",collision:"none"},width:null,change:null,close:null,focus:null,open:null,select:null},_create:function(){var e=this.element.uniqueId().attr("id");this.ids={element:e,button:e+"-button",menu:e+"-menu"},this._drawButton(),this._drawMenu(),this.options.disabled&&this.disable()},_drawButton:function(){var t=this;this.label=e("label[for='"+this.ids.element+"']").attr("for",this.ids.button),this._on(this.label,{click:function(e){this.button.focus(),e.preventDefault()}}),this.element.hide(),this.button=e("<span>",{"class":"ui-selectmenu-button ui-widget ui-state-default ui-corner-all",tabindex:this.options.disabled?-1:0,id:this.ids.button,role:"combobox","aria-expanded":"false","aria-autocomplete":"list","aria-owns":this.ids.menu,"aria-haspopup":"true"}).insertAfter(this.element),e("<span>",{"class":"ui-icon "+this.options.icons.button}).prependTo(this.button),this.buttonText=e("<span>",{"class":"ui-selectmenu-text"}).appendTo(this.button),this._setText(this.buttonText,this.element.find("option:selected").text()),this._resizeButton(),this._on(this.button,this._buttonEvents),this.button.one("focusin",function(){t.menuItems||t._refreshMenu()}),this._hoverable(this.button),this._focusable(this.button)},_drawMenu:function(){var t=this;this.menu=e("<ul>",{"aria-hidden":"true","aria-labelledby":this.ids.button,id:this.ids.menu}),this.menuWrap=e("<div>",{"class":"ui-selectmenu-menu ui-front"}).append(this.menu).appendTo(this._appendTo()),this.menuInstance=this.menu.menu({role:"listbox",select:function(e,i){e.preventDefault(),t._setSelection(),t._select(i.item.data("ui-selectmenu-item"),e)},focus:function(e,i){var s=i.item.data("ui-selectmenu-item");null!=t.focusIndex&&s.index!==t.focusIndex&&(t._trigger("focus",e,{item:s}),t.isOpen||t._select(s,e)),t.focusIndex=s.index,t.button.attr("aria-activedescendant",t.menuItems.eq(s.index).attr("id"))}}).menu("instance"),this.menu.addClass("ui-corner-bottom").removeClass("ui-corner-all"),this.menuInstance._off(this.menu,"mouseleave"),this.menuInstance._closeOnDocumentClick=function(){return!1},this.menuInstance._isDivider=function(){return!1}},refresh:function(){this._refreshMenu(),this._setText(this.buttonText,this._getSelectedItem().text()),this.options.width||this._resizeButton()},_refreshMenu:function(){this.menu.empty();var e,t=this.element.find("option");t.length&&(this._parseOptions(t),this._renderMenu(this.menu,this.items),this.menuInstance.refresh(),this.menuItems=this.menu.find("li").not(".ui-selectmenu-optgroup"),e=this._getSelectedItem(),this.menuInstance.focus(null,e),this._setAria(e.data("ui-selectmenu-item")),this._setOption("disabled",this.element.prop("disabled")))},open:function(e){this.options.disabled||(this.menuItems?(this.menu.find(".ui-state-focus").removeClass("ui-state-focus"),this.menuInstance.focus(null,this._getSelectedItem())):this._refreshMenu(),this.isOpen=!0,this._toggleAttr(),this._resizeMenu(),this._position(),this._on(this.document,this._documentClick),this._trigger("open",e))},_position:function(){this.menuWrap.position(e.extend({of:this.button},this.options.position))},close:function(e){this.isOpen&&(this.isOpen=!1,this._toggleAttr(),this.range=null,this._off(this.document),this._trigger("close",e))},widget:function(){return this.button},menuWidget:function(){return this.menu},_renderMenu:function(t,i){var s=this,n="";e.each(i,function(i,a){a.optgroup!==n&&(e("<li>",{"class":"ui-selectmenu-optgroup ui-menu-divider"+(a.element.parent("optgroup").prop("disabled")?" ui-state-disabled":""),text:a.optgroup}).appendTo(t),n=a.optgroup),s._renderItemData(t,a)})},_renderItemData:function(e,t){return this._renderItem(e,t).data("ui-selectmenu-item",t)},_renderItem:function(t,i){var s=e("<li>");return i.disabled&&s.addClass("ui-state-disabled"),this._setText(s,i.label),s.appendTo(t)},_setText:function(e,t){t?e.text(t):e.html(" ")},_move:function(e,t){var i,s,n=".ui-menu-item";this.isOpen?i=this.menuItems.eq(this.focusIndex):(i=this.menuItems.eq(this.element[0].selectedIndex),n+=":not(.ui-state-disabled)"),s="first"===e||"last"===e?i["first"===e?"prevAll":"nextAll"](n).eq(-1):i[e+"All"](n).eq(0),s.length&&this.menuInstance.focus(t,s)},_getSelectedItem:function(){return this.menuItems.eq(this.element[0].selectedIndex)},_toggle:function(e){this[this.isOpen?"close":"open"](e)},_setSelection:function(){var e;this.range&&(window.getSelection?(e=window.getSelection(),e.removeAllRanges(),e.addRange(this.range)):this.range.select(),this.button.focus())},_documentClick:{mousedown:function(t){this.isOpen&&(e(t.target).closest(".ui-selectmenu-menu, #"+this.ids.button).length||this.close(t))}},_buttonEvents:{mousedown:function(){var e;window.getSelection?(e=window.getSelection(),e.rangeCount&&(this.range=e.getRangeAt(0))):this.range=document.selection.createRange()},click:function(e){this._setSelection(),this._toggle(e)},keydown:function(t){var i=!0;switch(t.keyCode){case e.ui.keyCode.TAB:case e.ui.keyCode.ESCAPE:this.close(t),i=!1;break;case e.ui.keyCode.ENTER:this.isOpen&&this._selectFocusedItem(t);break;case e.ui.keyCode.UP:t.altKey?this._toggle(t):this._move("prev",t);break;case e.ui.keyCode.DOWN:t.altKey?this._toggle(t):this._move("next",t);break;case e.ui.keyCode.SPACE:this.isOpen?this._selectFocusedItem(t):this._toggle(t);break;case e.ui.keyCode.LEFT:this._move("prev",t);break;case e.ui.keyCode.RIGHT:this._move("next",t);break;case e.ui.keyCode.HOME:case e.ui.keyCode.PAGE_UP:this._move("first",t);break;case e.ui.keyCode.END:case e.ui.keyCode.PAGE_DOWN:this._move("last",t);break;default:this.menu.trigger(t),i=!1}i&&t.preventDefault()}},_selectFocusedItem:function(e){var t=this.menuItems.eq(this.focusIndex);t.hasClass("ui-state-disabled")||this._select(t.data("ui-selectmenu-item"),e)},_select:function(e,t){var i=this.element[0].selectedIndex;this.element[0].selectedIndex=e.index,this._setText(this.buttonText,e.label),this._setAria(e),this._trigger("select",t,{item:e}),e.index!==i&&this._trigger("change",t,{item:e}),this.close(t)},_setAria:function(e){var t=this.menuItems.eq(e.index).attr("id");this.button.attr({"aria-labelledby":t,"aria-activedescendant":t}),this.menu.attr("aria-activedescendant",t)},_setOption:function(e,t){"icons"===e&&this.button.find("span.ui-icon").removeClass(this.options.icons.button).addClass(t.button),this._super(e,t),"appendTo"===e&&this.menuWrap.appendTo(this._appendTo()),"disabled"===e&&(this.menuInstance.option("disabled",t),this.button.toggleClass("ui-state-disabled",t).attr("aria-disabled",t),this.element.prop("disabled",t),t?(this.button.attr("tabindex",-1),this.close()):this.button.attr("tabindex",0)),"width"===e&&this._resizeButton()},_appendTo:function(){var t=this.options.appendTo;return t&&(t=t.jquery||t.nodeType?e(t):this.document.find(t).eq(0)),t&&t[0]||(t=this.element.closest(".ui-front")),t.length||(t=this.document[0].body),t},_toggleAttr:function(){this.button.toggleClass("ui-corner-top",this.isOpen).toggleClass("ui-corner-all",!this.isOpen).attr("aria-expanded",this.isOpen),this.menuWrap.toggleClass("ui-selectmenu-open",this.isOpen),this.menu.attr("aria-hidden",!this.isOpen)},_resizeButton:function(){var e=this.options.width;e||(e=this.element.show().outerWidth(),this.element.hide()),this.button.outerWidth(e)},_resizeMenu:function(){this.menu.outerWidth(Math.max(this.button.outerWidth(),this.menu.width("").outerWidth()+1))},_getCreateOptions:function(){return{disabled:this.element.prop("disabled")}},_parseOptions:function(t){var i=[];t.each(function(t,s){var n=e(s),a=n.parent("optgroup");i.push({element:n,index:t,value:n.val(),label:n.text(),optgroup:a.attr("label")||"",disabled:a.prop("disabled")||n.prop("disabled")})}),this.items=i},_destroy:function(){this.menuWrap.remove(),this.button.remove(),this.element.show(),this.element.removeUniqueId(),this.label.attr("for",this.ids.element)}}),e.widget("ui.slider",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"slide",options:{animate:!1,distance:0,max:100,min:0,orientation:"horizontal",range:!1,step:1,value:0,values:null,change:null,slide:null,start:null,stop:null},numPages:5,_create:function(){this._keySliding=!1,this._mouseSliding=!1,this._animateOff=!0,this._handleIndex=null,this._detectOrientation(),this._mouseInit(),this._calculateNewMax(),this.element.addClass("ui-slider ui-slider-"+this.orientation+" ui-widget"+" ui-widget-content"+" ui-corner-all"),this._refresh(),this._setOption("disabled",this.options.disabled),this._animateOff=!1},_refresh:function(){this._createRange(),this._createHandles(),this._setupEvents(),this._refreshValue()},_createHandles:function(){var t,i,s=this.options,n=this.element.find(".ui-slider-handle").addClass("ui-state-default ui-corner-all"),a="<span class='ui-slider-handle ui-state-default ui-corner-all' tabindex='0'></span>",o=[];for(i=s.values&&s.values.length||1,n.length>i&&(n.slice(i).remove(),n=n.slice(0,i)),t=n.length;i>t;t++)o.push(a);this.handles=n.add(e(o.join("")).appendTo(this.element)),this.handle=this.handles.eq(0),this.handles.each(function(t){e(this).data("ui-slider-handle-index",t)})},_createRange:function(){var t=this.options,i="";t.range?(t.range===!0&&(t.values?t.values.length&&2!==t.values.length?t.values=[t.values[0],t.values[0]]:e.isArray(t.values)&&(t.values=t.values.slice(0)):t.values=[this._valueMin(),this._valueMin()]),this.range&&this.range.length?this.range.removeClass("ui-slider-range-min ui-slider-range-max").css({left:"",bottom:""}):(this.range=e("<div></div>").appendTo(this.element),i="ui-slider-range ui-widget-header ui-corner-all"),this.range.addClass(i+("min"===t.range||"max"===t.range?" ui-slider-range-"+t.range:""))):(this.range&&this.range.remove(),this.range=null)},_setupEvents:function(){this._off(this.handles),this._on(this.handles,this._handleEvents),this._hoverable(this.handles),this._focusable(this.handles)},_destroy:function(){this.handles.remove(),this.range&&this.range.remove(),this.element.removeClass("ui-slider ui-slider-horizontal ui-slider-vertical ui-widget ui-widget-content ui-corner-all"),this._mouseDestroy()},_mouseCapture:function(t){var i,s,n,a,o,r,h,l,u=this,d=this.options;return d.disabled?!1:(this.elementSize={width:this.element.outerWidth(),height:this.element.outerHeight()},this.elementOffset=this.element.offset(),i={x:t.pageX,y:t.pageY},s=this._normValueFromMouse(i),n=this._valueMax()-this._valueMin()+1,this.handles.each(function(t){var i=Math.abs(s-u.values(t));(n>i||n===i&&(t===u._lastChangedValue||u.values(t)===d.min))&&(n=i,a=e(this),o=t)}),r=this._start(t,o),r===!1?!1:(this._mouseSliding=!0,this._handleIndex=o,a.addClass("ui-state-active").focus(),h=a.offset(),l=!e(t.target).parents().addBack().is(".ui-slider-handle"),this._clickOffset=l?{left:0,top:0}:{left:t.pageX-h.left-a.width()/2,top:t.pageY-h.top-a.height()/2-(parseInt(a.css("borderTopWidth"),10)||0)-(parseInt(a.css("borderBottomWidth"),10)||0)+(parseInt(a.css("marginTop"),10)||0)},this.handles.hasClass("ui-state-hover")||this._slide(t,o,s),this._animateOff=!0,!0))},_mouseStart:function(){return!0},_mouseDrag:function(e){var t={x:e.pageX,y:e.pageY},i=this._normValueFromMouse(t);return this._slide(e,this._handleIndex,i),!1},_mouseStop:function(e){return this.handles.removeClass("ui-state-active"),this._mouseSliding=!1,this._stop(e,this._handleIndex),this._change(e,this._handleIndex),this._handleIndex=null,this._clickOffset=null,this._animateOff=!1,!1},_detectOrientation:function(){this.orientation="vertical"===this.options.orientation?"vertical":"horizontal"},_normValueFromMouse:function(e){var t,i,s,n,a;return"horizontal"===this.orientation?(t=this.elementSize.width,i=e.x-this.elementOffset.left-(this._clickOffset?this._clickOffset.left:0)):(t=this.elementSize.height,i=e.y-this.elementOffset.top-(this._clickOffset?this._clickOffset.top:0)),s=i/t,s>1&&(s=1),0>s&&(s=0),"vertical"===this.orientation&&(s=1-s),n=this._valueMax()-this._valueMin(),a=this._valueMin()+s*n,this._trimAlignValue(a)},_start:function(e,t){var i={handle:this.handles[t],value:this.value()};return this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._trigger("start",e,i)},_slide:function(e,t,i){var s,n,a;this.options.values&&this.options.values.length?(s=this.values(t?0:1),2===this.options.values.length&&this.options.range===!0&&(0===t&&i>s||1===t&&s>i)&&(i=s),i!==this.values(t)&&(n=this.values(),n[t]=i,a=this._trigger("slide",e,{handle:this.handles[t],value:i,values:n}),s=this.values(t?0:1),a!==!1&&this.values(t,i))):i!==this.value()&&(a=this._trigger("slide",e,{handle:this.handles[t],value:i}),a!==!1&&this.value(i))},_stop:function(e,t){var i={handle:this.handles[t],value:this.value()};this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._trigger("stop",e,i)},_change:function(e,t){if(!this._keySliding&&!this._mouseSliding){var i={handle:this.handles[t],value:this.value()};this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._lastChangedValue=t,this._trigger("change",e,i)}},value:function(e){return arguments.length?(this.options.value=this._trimAlignValue(e),this._refreshValue(),this._change(null,0),void 0):this._value()},values:function(t,i){var s,n,a;if(arguments.length>1)return this.options.values[t]=this._trimAlignValue(i),this._refreshValue(),this._change(null,t),void 0;if(!arguments.length)return this._values();if(!e.isArray(arguments[0]))return this.options.values&&this.options.values.length?this._values(t):this.value();for(s=this.options.values,n=arguments[0],a=0;s.length>a;a+=1)s[a]=this._trimAlignValue(n[a]),this._change(null,a);this._refreshValue()},_setOption:function(t,i){var s,n=0;switch("range"===t&&this.options.range===!0&&("min"===i?(this.options.value=this._values(0),this.options.values=null):"max"===i&&(this.options.value=this._values(this.options.values.length-1),this.options.values=null)),e.isArray(this.options.values)&&(n=this.options.values.length),"disabled"===t&&this.element.toggleClass("ui-state-disabled",!!i),this._super(t,i),t){case"orientation":this._detectOrientation(),this.element.removeClass("ui-slider-horizontal ui-slider-vertical").addClass("ui-slider-"+this.orientation),this._refreshValue(),this.handles.css("horizontal"===i?"bottom":"left","");break;case"value":this._animateOff=!0,this._refreshValue(),this._change(null,0),this._animateOff=!1;break;case"values":for(this._animateOff=!0,this._refreshValue(),s=0;n>s;s+=1)this._change(null,s);this._animateOff=!1;break;case"step":case"min":case"max":this._animateOff=!0,this._calculateNewMax(),this._refreshValue(),this._animateOff=!1;break;case"range":this._animateOff=!0,this._refresh(),this._animateOff=!1}},_value:function(){var e=this.options.value;return e=this._trimAlignValue(e)},_values:function(e){var t,i,s;if(arguments.length)return t=this.options.values[e],t=this._trimAlignValue(t);if(this.options.values&&this.options.values.length){for(i=this.options.values.slice(),s=0;i.length>s;s+=1)i[s]=this._trimAlignValue(i[s]);return i}return[]},_trimAlignValue:function(e){if(this._valueMin()>=e)return this._valueMin();if(e>=this._valueMax())return this._valueMax();var t=this.options.step>0?this.options.step:1,i=(e-this._valueMin())%t,s=e-i;return 2*Math.abs(i)>=t&&(s+=i>0?t:-t),parseFloat(s.toFixed(5))},_calculateNewMax:function(){var e=this.options.max,t=this._valueMin(),i=this.options.step,s=Math.floor(+(e-t).toFixed(this._precision())/i)*i;e=s+t,this.max=parseFloat(e.toFixed(this._precision()))},_precision:function(){var e=this._precisionOf(this.options.step);return null!==this.options.min&&(e=Math.max(e,this._precisionOf(this.options.min))),e},_precisionOf:function(e){var t=""+e,i=t.indexOf(".");return-1===i?0:t.length-i-1},_valueMin:function(){return this.options.min},_valueMax:function(){return this.max},_refreshValue:function(){var t,i,s,n,a,o=this.options.range,r=this.options,h=this,l=this._animateOff?!1:r.animate,u={};this.options.values&&this.options.values.length?this.handles.each(function(s){i=100*((h.values(s)-h._valueMin())/(h._valueMax()-h._valueMin())),u["horizontal"===h.orientation?"left":"bottom"]=i+"%",e(this).stop(1,1)[l?"animate":"css"](u,r.animate),h.options.range===!0&&("horizontal"===h.orientation?(0===s&&h.range.stop(1,1)[l?"animate":"css"]({left:i+"%"},r.animate),1===s&&h.range[l?"animate":"css"]({width:i-t+"%"},{queue:!1,duration:r.animate})):(0===s&&h.range.stop(1,1)[l?"animate":"css"]({bottom:i+"%"},r.animate),1===s&&h.range[l?"animate":"css"]({height:i-t+"%"},{queue:!1,duration:r.animate}))),t=i}):(s=this.value(),n=this._valueMin(),a=this._valueMax(),i=a!==n?100*((s-n)/(a-n)):0,u["horizontal"===this.orientation?"left":"bottom"]=i+"%",this.handle.stop(1,1)[l?"animate":"css"](u,r.animate),"min"===o&&"horizontal"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({width:i+"%"},r.animate),"max"===o&&"horizontal"===this.orientation&&this.range[l?"animate":"css"]({width:100-i+"%"},{queue:!1,duration:r.animate}),"min"===o&&"vertical"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({height:i+"%"},r.animate),"max"===o&&"vertical"===this.orientation&&this.range[l?"animate":"css"]({height:100-i+"%"},{queue:!1,duration:r.animate}))},_handleEvents:{keydown:function(t){var i,s,n,a,o=e(t.target).data("ui-slider-handle-index");switch(t.keyCode){case e.ui.keyCode.HOME:case e.ui.keyCode.END:case e.ui.keyCode.PAGE_UP:case e.ui.keyCode.PAGE_DOWN:case e.ui.keyCode.UP:case e.ui.keyCode.RIGHT:case e.ui.keyCode.DOWN:case e.ui.keyCode.LEFT:if(t.preventDefault(),!this._keySliding&&(this._keySliding=!0,e(t.target).addClass("ui-state-active"),i=this._start(t,o),i===!1))return}switch(a=this.options.step,s=n=this.options.values&&this.options.values.length?this.values(o):this.value(),t.keyCode){case e.ui.keyCode.HOME:n=this._valueMin();break;case e.ui.keyCode.END:n=this._valueMax();break;case e.ui.keyCode.PAGE_UP:n=this._trimAlignValue(s+(this._valueMax()-this._valueMin())/this.numPages);break;case e.ui.keyCode.PAGE_DOWN:n=this._trimAlignValue(s-(this._valueMax()-this._valueMin())/this.numPages);break;case e.ui.keyCode.UP:case e.ui.keyCode.RIGHT:if(s===this._valueMax())return;n=this._trimAlignValue(s+a);break;case e.ui.keyCode.DOWN:case e.ui.keyCode.LEFT:if(s===this._valueMin())return;n=this._trimAlignValue(s-a)}this._slide(t,o,n)},keyup:function(t){var i=e(t.target).data("ui-slider-handle-index");this._keySliding&&(this._keySliding=!1,this._stop(t,i),this._change(t,i),e(t.target).removeClass("ui-state-active"))}}}),e.widget("ui.spinner",{version:"1.11.4",defaultElement:"<input>",widgetEventPrefix:"spin",options:{culture:null,icons:{down:"ui-icon-triangle-1-s",up:"ui-icon-triangle-1-n"},incremental:!0,max:null,min:null,numberFormat:null,page:10,step:1,change:null,spin:null,start:null,stop:null},_create:function(){this._setOption("max",this.options.max),this._setOption("min",this.options.min),this._setOption("step",this.options.step),""!==this.value()&&this._value(this.element.val(),!0),this._draw(),this._on(this._events),this._refresh(),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_getCreateOptions:function(){var t={},i=this.element;return e.each(["min","max","step"],function(e,s){var n=i.attr(s);void 0!==n&&n.length&&(t[s]=n)}),t},_events:{keydown:function(e){this._start(e)&&this._keydown(e)&&e.preventDefault()},keyup:"_stop",focus:function(){this.previous=this.element.val()},blur:function(e){return this.cancelBlur?(delete this.cancelBlur,void 0):(this._stop(),this._refresh(),this.previous!==this.element.val()&&this._trigger("change",e),void 0)},mousewheel:function(e,t){if(t){if(!this.spinning&&!this._start(e))return!1;this._spin((t>0?1:-1)*this.options.step,e),clearTimeout(this.mousewheelTimer),this.mousewheelTimer=this._delay(function(){this.spinning&&this._stop(e)},100),e.preventDefault()}},"mousedown .ui-spinner-button":function(t){function i(){var e=this.element[0]===this.document[0].activeElement;e||(this.element.focus(),this.previous=s,this._delay(function(){this.previous=s}))}var s;s=this.element[0]===this.document[0].activeElement?this.previous:this.element.val(),t.preventDefault(),i.call(this),this.cancelBlur=!0,this._delay(function(){delete this.cancelBlur,i.call(this)}),this._start(t)!==!1&&this._repeat(null,e(t.currentTarget).hasClass("ui-spinner-up")?1:-1,t)},"mouseup .ui-spinner-button":"_stop","mouseenter .ui-spinner-button":function(t){return e(t.currentTarget).hasClass("ui-state-active")?this._start(t)===!1?!1:(this._repeat(null,e(t.currentTarget).hasClass("ui-spinner-up")?1:-1,t),void 0):void 0},"mouseleave .ui-spinner-button":"_stop"},_draw:function(){var e=this.uiSpinner=this.element.addClass("ui-spinner-input").attr("autocomplete","off").wrap(this._uiSpinnerHtml()).parent().append(this._buttonHtml());this.element.attr("role","spinbutton"),this.buttons=e.find(".ui-spinner-button").attr("tabIndex",-1).button().removeClass("ui-corner-all"),this.buttons.height()>Math.ceil(.5*e.height())&&e.height()>0&&e.height(e.height()),this.options.disabled&&this.disable()},_keydown:function(t){var i=this.options,s=e.ui.keyCode;switch(t.keyCode){case s.UP:return this._repeat(null,1,t),!0;case s.DOWN:return this._repeat(null,-1,t),!0;case s.PAGE_UP:return this._repeat(null,i.page,t),!0;case s.PAGE_DOWN:return this._repeat(null,-i.page,t),!0}return!1},_uiSpinnerHtml:function(){return"<span class='ui-spinner ui-widget ui-widget-content ui-corner-all'></span>"},_buttonHtml:function(){return"<a class='ui-spinner-button ui-spinner-up ui-corner-tr'><span class='ui-icon "+this.options.icons.up+"'>▲</span>"+"</a>"+"<a class='ui-spinner-button ui-spinner-down ui-corner-br'>"+"<span class='ui-icon "+this.options.icons.down+"'>▼</span>"+"</a>"},_start:function(e){return this.spinning||this._trigger("start",e)!==!1?(this.counter||(this.counter=1),this.spinning=!0,!0):!1},_repeat:function(e,t,i){e=e||500,clearTimeout(this.timer),this.timer=this._delay(function(){this._repeat(40,t,i)},e),this._spin(t*this.options.step,i)},_spin:function(e,t){var i=this.value()||0;this.counter||(this.counter=1),i=this._adjustValue(i+e*this._increment(this.counter)),this.spinning&&this._trigger("spin",t,{value:i})===!1||(this._value(i),this.counter++)},_increment:function(t){var i=this.options.incremental;return i?e.isFunction(i)?i(t):Math.floor(t*t*t/5e4-t*t/500+17*t/200+1):1},_precision:function(){var e=this._precisionOf(this.options.step);return null!==this.options.min&&(e=Math.max(e,this._precisionOf(this.options.min))),e},_precisionOf:function(e){var t=""+e,i=t.indexOf(".");return-1===i?0:t.length-i-1},_adjustValue:function(e){var t,i,s=this.options;return t=null!==s.min?s.min:0,i=e-t,i=Math.round(i/s.step)*s.step,e=t+i,e=parseFloat(e.toFixed(this._precision())),null!==s.max&&e>s.max?s.max:null!==s.min&&s.min>e?s.min:e},_stop:function(e){this.spinning&&(clearTimeout(this.timer),clearTimeout(this.mousewheelTimer),this.counter=0,this.spinning=!1,this._trigger("stop",e))},_setOption:function(e,t){if("culture"===e||"numberFormat"===e){var i=this._parse(this.element.val());return this.options[e]=t,this.element.val(this._format(i)),void 0}("max"===e||"min"===e||"step"===e)&&"string"==typeof t&&(t=this._parse(t)),"icons"===e&&(this.buttons.first().find(".ui-icon").removeClass(this.options.icons.up).addClass(t.up),this.buttons.last().find(".ui-icon").removeClass(this.options.icons.down).addClass(t.down)),this._super(e,t),"disabled"===e&&(this.widget().toggleClass("ui-state-disabled",!!t),this.element.prop("disabled",!!t),this.buttons.button(t?"disable":"enable"))},_setOptions:s(function(e){this._super(e)}),_parse:function(e){return"string"==typeof e&&""!==e&&(e=window.Globalize&&this.options.numberFormat?Globalize.parseFloat(e,10,this.options.culture):+e),""===e||isNaN(e)?null:e +},_format:function(e){return""===e?"":window.Globalize&&this.options.numberFormat?Globalize.format(e,this.options.numberFormat,this.options.culture):e},_refresh:function(){this.element.attr({"aria-valuemin":this.options.min,"aria-valuemax":this.options.max,"aria-valuenow":this._parse(this.element.val())})},isValid:function(){var e=this.value();return null===e?!1:e===this._adjustValue(e)},_value:function(e,t){var i;""!==e&&(i=this._parse(e),null!==i&&(t||(i=this._adjustValue(i)),e=this._format(i))),this.element.val(e),this._refresh()},_destroy:function(){this.element.removeClass("ui-spinner-input").prop("disabled",!1).removeAttr("autocomplete").removeAttr("role").removeAttr("aria-valuemin").removeAttr("aria-valuemax").removeAttr("aria-valuenow"),this.uiSpinner.replaceWith(this.element)},stepUp:s(function(e){this._stepUp(e)}),_stepUp:function(e){this._start()&&(this._spin((e||1)*this.options.step),this._stop())},stepDown:s(function(e){this._stepDown(e)}),_stepDown:function(e){this._start()&&(this._spin((e||1)*-this.options.step),this._stop())},pageUp:s(function(e){this._stepUp((e||1)*this.options.page)}),pageDown:s(function(e){this._stepDown((e||1)*this.options.page)}),value:function(e){return arguments.length?(s(this._value).call(this,e),void 0):this._parse(this.element.val())},widget:function(){return this.uiSpinner}}),e.widget("ui.tabs",{version:"1.11.4",delay:300,options:{active:null,collapsible:!1,event:"click",heightStyle:"content",hide:null,show:null,activate:null,beforeActivate:null,beforeLoad:null,load:null},_isLocal:function(){var e=/#.*$/;return function(t){var i,s;t=t.cloneNode(!1),i=t.href.replace(e,""),s=location.href.replace(e,"");try{i=decodeURIComponent(i)}catch(n){}try{s=decodeURIComponent(s)}catch(n){}return t.hash.length>1&&i===s}}(),_create:function(){var t=this,i=this.options;this.running=!1,this.element.addClass("ui-tabs ui-widget ui-widget-content ui-corner-all").toggleClass("ui-tabs-collapsible",i.collapsible),this._processTabs(),i.active=this._initialActive(),e.isArray(i.disabled)&&(i.disabled=e.unique(i.disabled.concat(e.map(this.tabs.filter(".ui-state-disabled"),function(e){return t.tabs.index(e)}))).sort()),this.active=this.options.active!==!1&&this.anchors.length?this._findActive(i.active):e(),this._refresh(),this.active.length&&this.load(i.active)},_initialActive:function(){var t=this.options.active,i=this.options.collapsible,s=location.hash.substring(1);return null===t&&(s&&this.tabs.each(function(i,n){return e(n).attr("aria-controls")===s?(t=i,!1):void 0}),null===t&&(t=this.tabs.index(this.tabs.filter(".ui-tabs-active"))),(null===t||-1===t)&&(t=this.tabs.length?0:!1)),t!==!1&&(t=this.tabs.index(this.tabs.eq(t)),-1===t&&(t=i?!1:0)),!i&&t===!1&&this.anchors.length&&(t=0),t},_getCreateEventData:function(){return{tab:this.active,panel:this.active.length?this._getPanelForTab(this.active):e()}},_tabKeydown:function(t){var i=e(this.document[0].activeElement).closest("li"),s=this.tabs.index(i),n=!0;if(!this._handlePageNav(t)){switch(t.keyCode){case e.ui.keyCode.RIGHT:case e.ui.keyCode.DOWN:s++;break;case e.ui.keyCode.UP:case e.ui.keyCode.LEFT:n=!1,s--;break;case e.ui.keyCode.END:s=this.anchors.length-1;break;case e.ui.keyCode.HOME:s=0;break;case e.ui.keyCode.SPACE:return t.preventDefault(),clearTimeout(this.activating),this._activate(s),void 0;case e.ui.keyCode.ENTER:return t.preventDefault(),clearTimeout(this.activating),this._activate(s===this.options.active?!1:s),void 0;default:return}t.preventDefault(),clearTimeout(this.activating),s=this._focusNextTab(s,n),t.ctrlKey||t.metaKey||(i.attr("aria-selected","false"),this.tabs.eq(s).attr("aria-selected","true"),this.activating=this._delay(function(){this.option("active",s)},this.delay))}},_panelKeydown:function(t){this._handlePageNav(t)||t.ctrlKey&&t.keyCode===e.ui.keyCode.UP&&(t.preventDefault(),this.active.focus())},_handlePageNav:function(t){return t.altKey&&t.keyCode===e.ui.keyCode.PAGE_UP?(this._activate(this._focusNextTab(this.options.active-1,!1)),!0):t.altKey&&t.keyCode===e.ui.keyCode.PAGE_DOWN?(this._activate(this._focusNextTab(this.options.active+1,!0)),!0):void 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.tocify .list-group-item { +padding: 5px; +} +.tocify .nav-pills > li { +float: none; +} + + +</style> +<script>/* jquery Tocify - v1.9.1 - 2013-10-22 + * http://www.gregfranko.com/jquery.tocify.js/ + * Copyright (c) 2013 Greg Franko; Licensed MIT */ + +// Immediately-Invoked Function Expression (IIFE) [Ben Alman Blog Post](http://benalman.com/news/2010/11/immediately-invoked-function-expression/) that calls another IIFE that contains all of the plugin logic. I used this pattern so that anyone viewing this code would not have to scroll to the bottom of the page to view the local parameters that were passed to the main IIFE. +(function(tocify) { + + // ECMAScript 5 Strict Mode: [John Resig Blog Post](http://ejohn.org/blog/ecmascript-5-strict-mode-json-and-more/) + "use strict"; + + // Calls the second IIFE and locally passes in the global jQuery, window, and document objects + tocify(window.jQuery, window, document); + + } + + // Locally passes in `jQuery`, the `window` object, the `document` object, and an `undefined` variable. The `jQuery`, `window` and `document` objects are passed in locally, to improve performance, since javascript first searches for a variable match within the local variables set before searching the global variables set. All of the global variables are also passed in locally to be minifier friendly. `undefined` can be passed in locally, because it is not a reserved word in JavaScript. + (function($, window, document, undefined) { + + // ECMAScript 5 Strict Mode: [John Resig Blog Post](http://ejohn.org/blog/ecmascript-5-strict-mode-json-and-more/) + "use strict"; + + var tocClassName = "tocify", + tocClass = "." + tocClassName, + tocFocusClassName = "tocify-focus", + tocHoverClassName = "tocify-hover", + hideTocClassName = "tocify-hide", + hideTocClass = "." + hideTocClassName, + headerClassName = "tocify-header", + headerClass = "." + headerClassName, + subheaderClassName = "tocify-subheader", + subheaderClass = "." + subheaderClassName, + itemClassName = "tocify-item", + itemClass = "." + itemClassName, + extendPageClassName = "tocify-extend-page", + extendPageClass = "." + extendPageClassName; + + // Calling the jQueryUI Widget Factory Method + $.widget("toc.tocify", { + + //Plugin version + version: "1.9.1", + + // These options will be used as defaults + options: { + + // **context**: Accepts String: Any jQuery selector + // The container element that holds all of the elements used to generate the table of contents + context: "body", + + // **ignoreSelector**: Accepts String: Any jQuery selector + // A selector to any element that would be matched by selectors that you wish to be ignored + ignoreSelector: null, + + // **selectors**: Accepts an Array of Strings: Any jQuery selectors + // The element's used to generate the table of contents. The order is very important since it will determine the table of content's nesting structure + selectors: "h1, h2, h3", + + // **showAndHide**: Accepts a boolean: true or false + // Used to determine if elements should be shown and hidden + showAndHide: true, + + // **showEffect**: Accepts String: "none", "fadeIn", "show", or "slideDown" + // Used to display any of the table of contents nested items + showEffect: "slideDown", + + // **showEffectSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast" + // The time duration of the show animation + showEffectSpeed: "medium", + + // **hideEffect**: Accepts String: "none", "fadeOut", "hide", or "slideUp" + // Used to hide any of the table of contents nested items + hideEffect: "slideUp", + + // **hideEffectSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast" + // The time duration of the hide animation + hideEffectSpeed: "medium", + + // **smoothScroll**: Accepts a boolean: true or false + // Determines if a jQuery animation should be used to scroll to specific table of contents items on the page + smoothScroll: true, + + // **smoothScrollSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast" + // The time duration of the smoothScroll animation + smoothScrollSpeed: "medium", + + // **scrollTo**: Accepts Number (pixels) + // The amount of space between the top of page and the selected table of contents item after the page has been scrolled + scrollTo: 0, + + // **showAndHideOnScroll**: Accepts a boolean: true or false + // Determines if table of contents nested items should be shown and hidden while scrolling + showAndHideOnScroll: true, + + // **highlightOnScroll**: Accepts a boolean: true or false + // Determines if table of contents nested items should be highlighted (set to a different color) while scrolling + highlightOnScroll: true, + + // **highlightOffset**: Accepts a number + // The offset distance in pixels to trigger the next active table of contents item + highlightOffset: 40, + + // **theme**: Accepts a string: "bootstrap", "jqueryui", or "none" + // Determines if Twitter Bootstrap, jQueryUI, or Tocify classes should be added to the table of contents + theme: "bootstrap", + + // **extendPage**: Accepts a boolean: true or false + // If a user scrolls to the bottom of the page and the page is not tall enough to scroll to the last table of contents item, then the page height is increased + extendPage: true, + + // **extendPageOffset**: Accepts a number: pixels + // How close to the bottom of the page a user must scroll before the page is extended + extendPageOffset: 100, + + // **history**: Accepts a boolean: true or false + // Adds a hash to the page url to maintain history + history: true, + + // **scrollHistory**: Accepts a boolean: true or false + // Adds a hash to the page url, to maintain history, when scrolling to a TOC item + scrollHistory: false, + + // **hashGenerator**: How the hash value (the anchor segment of the URL, following the + // # character) will be generated. + // + // "compact" (default) - #CompressesEverythingTogether + // "pretty" - #looks-like-a-nice-url-and-is-easily-readable + // function(text, element){} - Your own hash generation function that accepts the text as an + // argument, and returns the hash value. + hashGenerator: "compact", + + // **highlightDefault**: Accepts a boolean: true or false + // Set's the first TOC item as active if no other TOC item is active. + highlightDefault: true + + }, + + // _Create + // ------- + // Constructs the plugin. Only called once. + _create: function() { + + var self = this; + + self.extendPageScroll = true; + + // Internal array that keeps track of all TOC items (Helps to recognize if there are duplicate TOC item strings) + self.items = []; + + // Generates the HTML for the dynamic table of contents + self._generateToc(); + + // Adds CSS classes to the newly generated table of contents HTML + self._addCSSClasses(); + + self.webkit = (function() { + + for (var prop in window) { + + if (prop) { + + if (prop.toLowerCase().indexOf("webkit") !== -1) { + + return true; + + } + + } + + } + + return false; + + }()); + + // Adds jQuery event handlers to the newly generated table of contents + self._setEventHandlers(); + + // Binding to the Window load event to make sure the correct scrollTop is calculated + $(window).load(function() { + + // Sets the active TOC item + self._setActiveElement(true); + + // Once all animations on the page are complete, this callback function will be called + $("html, body").promise().done(function() { + + setTimeout(function() { + + self.extendPageScroll = false; + + }, 0); + + }); + + }); + + }, + + // _generateToc + // ------------ + // Generates the HTML for the dynamic table of contents + _generateToc: function() { + + // _Local variables_ + + // Stores the plugin context in the self variable + var self = this, + + // All of the HTML tags found within the context provided (i.e. body) that match the top level jQuery selector above + firstElem, + + // Instantiated variable that will store the top level newly created unordered list DOM element + ul, + ignoreSelector = self.options.ignoreSelector; + + + // Determine the element to start the toc with + // get all the top level selectors + firstElem = []; + var selectors = this.options.selectors.replace(/ /g, "").split(","); + // find the first set that have at least one non-ignored element + for(var i = 0; i < selectors.length; i++) { + var foundSelectors = $(this.options.context).find(selectors[i]); + for (var s = 0; s < foundSelectors.length; s++) { + if (!$(foundSelectors[s]).is(ignoreSelector)) { + firstElem = foundSelectors; + break; + } + } + if (firstElem.length> 0) + break; + } + + if (!firstElem.length) { + + self.element.addClass(hideTocClassName); + + return; + + } + + self.element.addClass(tocClassName); + + // Loops through each top level selector + firstElem.each(function(index) { + + //If the element matches the ignoreSelector then we skip it + if ($(this).is(ignoreSelector)) { + return; + } + + // Creates an unordered list HTML element and adds a dynamic ID and standard class name + ul = $("<ul/>", { + "id": headerClassName + index, + "class": headerClassName + }). + + // Appends a top level list item HTML element to the previously created HTML header + append(self._nestElements($(this), index)); + + // Add the created unordered list element to the HTML element calling the plugin + self.element.append(ul); + + // Finds all of the HTML tags between the header and subheader elements + $(this).nextUntil(this.nodeName.toLowerCase()).each(function() { + + // If there are no nested subheader elemements + if ($(this).find(self.options.selectors).length === 0) { + + // Loops through all of the subheader elements + $(this).filter(self.options.selectors).each(function() { + + //If the element matches the ignoreSelector then we skip it + if ($(this).is(ignoreSelector)) { + return; + } + + self._appendSubheaders.call(this, self, ul); + + }); + + } + + // If there are nested subheader elements + else { + + // Loops through all of the subheader elements + $(this).find(self.options.selectors).each(function() { + + //If the element matches the ignoreSelector then we skip it + if ($(this).is(ignoreSelector)) { + return; + } + + self._appendSubheaders.call(this, self, ul); + + }); + + } + + }); + + }); + + }, + + _setActiveElement: function(pageload) { + + var self = this, + + hash = window.location.hash.substring(1), + + elem = self.element.find('li[data-unique="' + hash + '"]'); + + if (hash.length) { + + // Removes highlighting from all of the list item's + self.element.find("." + self.focusClass).removeClass(self.focusClass); + + // Highlights the current list item that was clicked + elem.addClass(self.focusClass); + + // Triggers the click event on the currently focused TOC item + elem.click(); + + } else { + + // Removes highlighting from all of the list item's + self.element.find("." + self.focusClass).removeClass(self.focusClass); + + if (!hash.length && pageload && self.options.highlightDefault) { + + // Highlights the first TOC item if no other items are highlighted + self.element.find(itemClass).first().addClass(self.focusClass); + + } + + } + + return self; + + }, + + // _nestElements + // ------------- + // Helps create the table of contents list by appending nested list items + _nestElements: function(self, index) { + + var arr, item, hashValue; + + arr = $.grep(this.items, function(item) { + + return item === self.text(); + + }); + + // If there is already a duplicate TOC item + if (arr.length) { + + // Adds the current TOC item text and index (for slight randomization) to the internal array + this.items.push(self.text() + index); + + } + + // If there not a duplicate TOC item + else { + + // Adds the current TOC item text to the internal array + this.items.push(self.text()); + + } + + hashValue = this._generateHashValue(arr, self, index); + + // Appends a list item HTML element to the last unordered list HTML element found within the HTML element calling the plugin + item = $("<li/>", { + + // Sets a common class name to the list item + "class": itemClassName, + + "data-unique": hashValue + + }); + + if (this.options.theme !== "bootstrap3") { + + item.append($("<a/>", { + + "text": self.text() + + })); + + } else { + + item.text(self.text()); + + } + + // Adds an HTML anchor tag before the currently traversed HTML element + self.before($("<div/>", { + + // Sets a name attribute on the anchor tag to the text of the currently traversed HTML element (also making sure that all whitespace is replaced with an underscore) + "name": hashValue, + + "data-unique": hashValue + + })); + + return item; + + }, + + // _generateHashValue + // ------------------ + // Generates the hash value that will be used to refer to each item. + _generateHashValue: function(arr, self, index) { + + var hashValue = "", + hashGeneratorOption = this.options.hashGenerator; + + if (hashGeneratorOption === "pretty") { + + // prettify the text + hashValue = self.text().toLowerCase().replace(/\s/g, "-"); + + // fix double hyphens + while (hashValue.indexOf("--") > -1) { + hashValue = hashValue.replace(/--/g, "-"); + } + + // fix colon-space instances + while (hashValue.indexOf(":-") > -1) { + hashValue = hashValue.replace(/:-/g, "-"); + } + + } else if (typeof hashGeneratorOption === "function") { + + // call the function + hashValue = hashGeneratorOption(self.text(), self); + + } else { + + // compact - the default + hashValue = self.text().replace(/\s/g, ""); + + } + + // add the index if we need to + if (arr.length) { + hashValue += "" + index; + } + + // return the value + return hashValue; + + }, + + // _appendElements + // --------------- + // Helps create the table of contents list by appending subheader elements + + _appendSubheaders: function(self, ul) { + + // The current element index + var index = $(this).index(self.options.selectors), + + // Finds the previous header DOM element + previousHeader = $(self.options.selectors).eq(index - 1), + + currentTagName = +$(this).prop("tagName").charAt(1), + + previousTagName = +previousHeader.prop("tagName").charAt(1), + + lastSubheader; + + // If the current header DOM element is smaller than the previous header DOM element or the first subheader + if (currentTagName < previousTagName) { + + // Selects the last unordered list HTML found within the HTML element calling the plugin + self.element.find(subheaderClass + "[data-tag=" + currentTagName + "]").last().append(self._nestElements($(this), index)); + + } + + // If the current header DOM element is the same type of header(eg. h4) as the previous header DOM element + else if (currentTagName === previousTagName) { + + ul.find(itemClass).last().after(self._nestElements($(this), index)); + + } else { + + // Selects the last unordered list HTML found within the HTML element calling the plugin + ul.find(itemClass).last(). + + // Appends an unorderedList HTML element to the dynamic `unorderedList` variable and sets a common class name + after($("<ul/>", { + + "class": subheaderClassName, + + "data-tag": currentTagName + + })).next(subheaderClass). + + // Appends a list item HTML element to the last unordered list HTML element found within the HTML element calling the plugin + append(self._nestElements($(this), index)); + } + + }, + + // _setEventHandlers + // ---------------- + // Adds jQuery event handlers to the newly generated table of contents + _setEventHandlers: function() { + + // _Local variables_ + + // Stores the plugin context in the self variable + var self = this, + + // Instantiates a new variable that will be used to hold a specific element's context + $self, + + // Instantiates a new variable that will be used to determine the smoothScroll animation time duration + duration; + + // Event delegation that looks for any clicks on list item elements inside of the HTML element calling the plugin + this.element.on("click.tocify", "li", function(event) { + + if (self.options.history) { + + window.location.hash = $(this).attr("data-unique"); + + } + + // Removes highlighting from all of the list item's + self.element.find("." + self.focusClass).removeClass(self.focusClass); + + // Highlights the current list item that was clicked + $(this).addClass(self.focusClass); + + // If the showAndHide option is true + if (self.options.showAndHide) { + + var elem = $('li[data-unique="' + $(this).attr("data-unique") + '"]'); + + self._triggerShow(elem); + + } + + self._scrollTo($(this)); + + }); + + // Mouseenter and Mouseleave event handlers for the list item's within the HTML element calling the plugin + this.element.find("li").on({ + + // Mouseenter event handler + "mouseenter.tocify": function() { + + // Adds a hover CSS class to the current list item + $(this).addClass(self.hoverClass); + + // Makes sure the cursor is set to the pointer icon + $(this).css("cursor", "pointer"); + + }, + + // Mouseleave event handler + "mouseleave.tocify": function() { + + if (self.options.theme !== "bootstrap") { + + // Removes the hover CSS class from the current list item + $(this).removeClass(self.hoverClass); + + } + + } + }); + + // only attach handler if needed (expensive in IE) + if (self.options.extendPage || self.options.highlightOnScroll || self.options.scrollHistory || self.options.showAndHideOnScroll) { + // Window scroll event handler + $(window).on("scroll.tocify", function() { + + // Once all animations on the page are complete, this callback function will be called + $("html, body").promise().done(function() { + + // Local variables + + // Stores how far the user has scrolled + var winScrollTop = $(window).scrollTop(), + + // Stores the height of the window + winHeight = $(window).height(), + + // Stores the height of the document + docHeight = $(document).height(), + + scrollHeight = $("body")[0].scrollHeight, + + // Instantiates a variable that will be used to hold a selected HTML element + elem, + + lastElem, + + lastElemOffset, + + currentElem; + + if (self.options.extendPage) { + + // If the user has scrolled to the bottom of the page and the last toc item is not focused + if ((self.webkit && winScrollTop >= scrollHeight - winHeight - self.options.extendPageOffset) || (!self.webkit && winHeight + winScrollTop > docHeight - self.options.extendPageOffset)) { + + if (!$(extendPageClass).length) { + + lastElem = $('div[data-unique="' + $(itemClass).last().attr("data-unique") + '"]'); + + if (!lastElem.length) return; + + // Gets the top offset of the page header that is linked to the last toc item + lastElemOffset = lastElem.offset().top; + + // Appends a div to the bottom of the page and sets the height to the difference of the window scrollTop and the last element's position top offset + $(self.options.context).append($("<div/>", { + + "class": extendPageClassName, + + "height": Math.abs(lastElemOffset - winScrollTop) + "px", + + "data-unique": extendPageClassName + + })); + + if (self.extendPageScroll) { + + currentElem = self.element.find('li.' + self.focusClass); + + self._scrollTo($('div[data-unique="' + currentElem.attr("data-unique") + '"]')); + + } + + } + + } + + } + + // The zero timeout ensures the following code is run after the scroll events + setTimeout(function() { + + // _Local variables_ + + // Stores the distance to the closest anchor + var closestAnchorDistance = null, + + // Stores the index of the closest anchor + closestAnchorIdx = null, + + // Keeps a reference to all anchors + anchors = $(self.options.context).find("div[data-unique]"), + + anchorText; + + // Determines the index of the closest anchor + anchors.each(function(idx) { + var distance = Math.abs(($(this).next().length ? $(this).next() : $(this)).offset().top - winScrollTop - self.options.highlightOffset); + if (closestAnchorDistance == null || distance < closestAnchorDistance) { + closestAnchorDistance = distance; + closestAnchorIdx = idx; + } else { + return false; + } + }); + + anchorText = $(anchors[closestAnchorIdx]).attr("data-unique"); + + // Stores the list item HTML element that corresponds to the currently traversed anchor tag + elem = $('li[data-unique="' + anchorText + '"]'); + + // If the `highlightOnScroll` option is true and a next element is found + if (self.options.highlightOnScroll && elem.length) { + + // Removes highlighting from all of the list item's + self.element.find("." + self.focusClass).removeClass(self.focusClass); + + // Highlights the corresponding list item + elem.addClass(self.focusClass); + + } + + if (self.options.scrollHistory) { + + if (window.location.hash !== "#" + anchorText) { + + window.location.replace("#" + anchorText); + + } + } + + // If the `showAndHideOnScroll` option is true + if (self.options.showAndHideOnScroll && self.options.showAndHide) { + + self._triggerShow(elem, true); + + } + + }, 0); + + }); + + }); + } + + }, + + // Show + // ---- + // Opens the current sub-header + show: function(elem, scroll) { + + // Stores the plugin context in the `self` variable + var self = this, + element = elem; + + // If the sub-header is not already visible + if (!elem.is(":visible")) { + + // If the current element does not have any nested subheaders, is not a header, and its parent is not visible + if (!elem.find(subheaderClass).length && !elem.parent().is(headerClass) && !elem.parent().is(":visible")) { + + // Sets the current element to all of the subheaders within the current header + elem = elem.parents(subheaderClass).add(elem); + + } + + // If the current element does not have any nested subheaders and is not a header + else if (!elem.children(subheaderClass).length && !elem.parent().is(headerClass)) { + + // Sets the current element to the closest subheader + elem = elem.closest(subheaderClass); + + } + + //Determines what jQuery effect to use + switch (self.options.showEffect) { + + //Uses `no effect` + case "none": + + elem.show(); + + break; + + //Uses the jQuery `show` special effect + case "show": + + elem.show(self.options.showEffectSpeed); + + break; + + //Uses the jQuery `slideDown` special effect + case "slideDown": + + elem.slideDown(self.options.showEffectSpeed); + + break; + + //Uses the jQuery `fadeIn` special effect + case "fadeIn": + + elem.fadeIn(self.options.showEffectSpeed); + + break; + + //If none of the above options were passed, then a `jQueryUI show effect` is expected + default: + + elem.show(); + + break; + + } + + } + + // If the current subheader parent element is a header + if (elem.parent().is(headerClass)) { + + // Hides all non-active sub-headers + self.hide($(subheaderClass).not(elem)); + + } + + // If the current subheader parent element is not a header + else { + + // Hides all non-active sub-headers + self.hide($(subheaderClass).not(elem.closest(headerClass).find(subheaderClass).not(elem.siblings()))); + + } + + // Maintains chainablity + return self; + + }, + + // Hide + // ---- + // Closes the current sub-header + hide: function(elem) { + + // Stores the plugin context in the `self` variable + var self = this; + + //Determines what jQuery effect to use + switch (self.options.hideEffect) { + + // Uses `no effect` + case "none": + + elem.hide(); + + break; + + // Uses the jQuery `hide` special effect + case "hide": + + elem.hide(self.options.hideEffectSpeed); + + break; + + // Uses the jQuery `slideUp` special effect + case "slideUp": + + elem.slideUp(self.options.hideEffectSpeed); + + break; + + // Uses the jQuery `fadeOut` special effect + case "fadeOut": + + elem.fadeOut(self.options.hideEffectSpeed); + + break; + + // If none of the above options were passed, then a `jqueryUI hide effect` is expected + default: + + elem.hide(); + + break; + + } + + // Maintains chainablity + return self; + }, + + // _triggerShow + // ------------ + // Determines what elements get shown on scroll and click + _triggerShow: function(elem, scroll) { + + var self = this; + + // If the current element's parent is a header element or the next element is a nested subheader element + if (elem.parent().is(headerClass) || elem.next().is(subheaderClass)) { + + // Shows the next sub-header element + self.show(elem.next(subheaderClass), scroll); + + } + + // If the current element's parent is a subheader element + else if (elem.parent().is(subheaderClass)) { + + // Shows the parent sub-header element + self.show(elem.parent(), scroll); + + } + + // Maintains chainability + return self; + + }, + + // _addCSSClasses + // -------------- + // Adds CSS classes to the newly generated table of contents HTML + _addCSSClasses: function() { + + // If the user wants a jqueryUI theme + if (this.options.theme === "jqueryui") { + + this.focusClass = "ui-state-default"; + + this.hoverClass = "ui-state-hover"; + + //Adds the default styling to the dropdown list + this.element.addClass("ui-widget").find(".toc-title").addClass("ui-widget-header").end().find("li").addClass("ui-widget-content"); + + } + + // If the user wants a twitterBootstrap theme + else if (this.options.theme === "bootstrap") { + + this.element.find(headerClass + "," + subheaderClass).addClass("nav nav-list"); + + this.focusClass = "active"; + + } + + // If the user wants a twitterBootstrap theme + else if (this.options.theme === "bootstrap3") { + + this.element.find(headerClass + "," + subheaderClass).addClass("list-group"); + + this.element.find(itemClass).addClass("list-group-item"); + + this.focusClass = "active"; + + } + + // If a user does not want a prebuilt theme + else { + + // Adds more neutral classes (instead of jqueryui) + + this.focusClass = tocFocusClassName; + + this.hoverClass = tocHoverClassName; + + } + + //Maintains chainability + return this; + + }, + + // setOption + // --------- + // Sets a single Tocify option after the plugin is invoked + setOption: function() { + + // Calls the jQueryUI Widget Factory setOption method + $.Widget.prototype._setOption.apply(this, arguments); + + }, + + // setOptions + // ---------- + // Sets a single or multiple Tocify options after the plugin is invoked + setOptions: function() { + + // Calls the jQueryUI Widget Factory setOptions method + $.Widget.prototype._setOptions.apply(this, arguments); + + }, + + // _scrollTo + // --------- + // Scrolls to a specific element + _scrollTo: function(elem) { + + var self = this, + duration = self.options.smoothScroll || 0, + scrollTo = self.options.scrollTo, + currentDiv = $('div[data-unique="' + elem.attr("data-unique") + '"]'); + + if (!currentDiv.length) { + + return self; + + } + + // Once all animations on the page are complete, this callback function will be called + $("html, body").promise().done(function() { + + // Animates the html and body element scrolltops + $("html, body").animate({ + + // Sets the jQuery `scrollTop` to the top offset of the HTML div tag that matches the current list item's `data-unique` tag + "scrollTop": currentDiv.offset().top - ($.isFunction(scrollTo) ? scrollTo.call() : scrollTo) + "px" + + }, { + + // Sets the smoothScroll animation time duration to the smoothScrollSpeed option + "duration": duration + + }); + + }); + + // Maintains chainability + return self; + + } + + }); + + })); //end of plugin +</script> +<script> + +/** + * jQuery Plugin: Sticky Tabs + * + * @author Aidan Lister <aidan@php.net> + * adapted by Ruben Arslan to activate parent tabs too + * http://www.aidanlister.com/2014/03/persisting-the-tab-state-in-bootstrap/ + */ +(function($) { + "use strict"; + $.fn.rmarkdownStickyTabs = function() { + var context = this; + // Show the tab corresponding with the hash in the URL, or the first tab + var showStuffFromHash = function() { + var hash = window.location.hash; + var selector = hash ? 'a[href="' + hash + '"]' : 'li.active > a'; + var $selector = $(selector, context); + if($selector.data('toggle') === "tab") { + $selector.tab('show'); + // walk up the ancestors of this element, show any hidden tabs + $selector.parents('.section.tabset').each(function(i, elm) { + var link = $('a[href="#' + $(elm).attr('id') + '"]'); + if(link.data('toggle') === "tab") { + link.tab("show"); + } + }); + } + }; + + + // Set the correct tab when the page loads + showStuffFromHash(context); + + // Set the correct tab when a user uses their back/forward button + $(window).on('hashchange', function() { + showStuffFromHash(context); + }); + + // Change the URL when tabs are clicked + $('a', context).on('click', function(e) { + history.pushState(null, null, this.href); + showStuffFromHash(context); + }); + + return this; + }; +}(jQuery)); + +window.buildTabsets = function(tocID) { + + // build a tabset from a section div with the .tabset class + function buildTabset(tabset) { + + // check for fade and pills options + var fade = tabset.hasClass("tabset-fade"); + var pills = tabset.hasClass("tabset-pills"); + var navClass = pills ? "nav-pills" : "nav-tabs"; + + // determine the heading level of the tabset and tabs + var match = tabset.attr('class').match(/level(\d) /); + if (match === null) + return; + var tabsetLevel = Number(match[1]); + var tabLevel = tabsetLevel + 1; + + // find all subheadings immediately below + var tabs = tabset.find("div.section.level" + tabLevel); + if (!tabs.length) + return; + + // create tablist and tab-content elements + var tabList = $('<ul class="nav ' + navClass + '" role="tablist"></ul>'); + $(tabs[0]).before(tabList); + var tabContent = $('<div class="tab-content"></div>'); + $(tabs[0]).before(tabContent); + + // build the tabset + var activeTab = 0; + tabs.each(function(i) { + + // get the tab div + var tab = $(tabs[i]); + + // get the id then sanitize it for use with bootstrap tabs + var id = tab.attr('id'); + + // see if this is marked as the active tab + if (tab.hasClass('active')) + activeTab = i; + + // remove any table of contents entries associated with + // this ID (since we'll be removing the heading element) + $("div#" + tocID + " li a[href='#" + id + "']").parent().remove(); + + // sanitize the id for use with bootstrap tabs + id = id.replace(/[.\/?&!#<>]/g, '').replace(/\s/g, '_'); + tab.attr('id', id); + + // get the heading element within it, grab it's text, then remove it + var heading = tab.find('h' + tabLevel + ':first'); + var headingText = heading.html(); + heading.remove(); + + // build and append the tab list item + var a = $('<a role="tab" data-toggle="tab">' + headingText + '</a>'); + a.attr('href', '#' + id); + a.attr('aria-controls', id); + var li = $('<li role="presentation"></li>'); + li.append(a); + tabList.append(li); + + // set it's attributes + tab.attr('role', 'tabpanel'); + tab.addClass('tab-pane'); + tab.addClass('tabbed-pane'); + if (fade) + tab.addClass('fade'); + + // move it into the tab content div + tab.detach().appendTo(tabContent); + }); + + // set active tab + $(tabList.children('li')[activeTab]).addClass('active'); + var active = $(tabContent.children('div.section')[activeTab]); + active.addClass('active'); + if (fade) + active.addClass('in'); + + if (tabset.hasClass("tabset-sticky")) + tabset.rmarkdownStickyTabs(); + } + + // convert section divs with the .tabset class to tabsets + var tabsets = $("div.section.tabset"); + tabsets.each(function(i) { + buildTabset($(tabsets[i])); + }); +}; + +</script> +<script> +window.initializeCodeFolding = function(show) { + + // handlers for show-all and hide all + $("#rmd-show-all-code").click(function() { + $('div.r-code-collapse').each(function() { + $(this).collapse('show'); + }); + }); + $("#rmd-hide-all-code").click(function() { + $('div.r-code-collapse').each(function() { + $(this).collapse('hide'); + }); + }); + + // index for unique code element ids + var currentIndex = 1; + + // select all R code blocks + var rCodeBlocks = $('pre.r, pre.python, pre.bash, pre.sql, pre.cpp, pre.stan'); + rCodeBlocks.each(function() { + + // create a collapsable div to wrap the code in + var div = $('<div class="collapse r-code-collapse"></div>'); + if (show) + div.addClass('in'); + var id = 'rcode-643E0F36' + currentIndex++; + div.attr('id', id); + $(this).before(div); + $(this).detach().appendTo(div); + + // add a show code button right above + var showCodeText = $('<span>' + (show ? 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class="tocify"> +</div> +</div> + +<div class="toc-content col-xs-12 col-sm-8 col-md-9"> + + + + +<div class="fluid-row" id="header"> + +<div class="btn-group pull-right"> +<button type="button" class="btn btn-default btn-xs dropdown-toggle" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false"><span>Code</span> <span class="caret"></span></button> +<ul class="dropdown-menu" style="min-width: 50px;"> +<li><a id="rmd-show-all-code" href="#">Show All Code</a></li> +<li><a id="rmd-hide-all-code" href="#">Hide All Code</a></li> +</ul> +</div> + + + +<h1 class="title toc-ignore">Benchmark timings for mkin on various systems</h1> +<h4 class="author"><em>Johannes Ranke</em></h4> +<h4 class="date"><em>2019-04-09</em></h4> + +</div> + + +<div id="systems" class="section level2"> +<h2>Systems</h2> +<p>Each system is characterized by its CPU type, the operating system type and the mkin version.</p> +<pre class="r"><code>cpu_model <- benchmarkme::get_cpu()$model_name +operating_system <- Sys.info()[["sysname"]] +mkin_version <- as.character(packageVersion("mkin")) +system_string <- paste0(operating_system, ", ", cpu_model, ", mkin version ", mkin_version) +load("~/git/mkin/inst/benchmark_data/mkin_benchmarks.rda") +mkin_benchmarks[system_string, c("CPU", "OS", "mkin")] <- c(cpu_model, operating_system, mkin_version) + +if (mkin_version > "0.9.48.1") { + mmkin_bench <- function(models, datasets, error_model = "const") mmkin(models, datasets, error_model = error_model, cores = 1, quiet = TRUE) +} else { + mmkin_bench <- function(models, datasets, error_model = NULL) mmkin(models, datasets, reweight.method = error_model, cores = 1, quiet = TRUE) +}</code></pre> +<pre class="r"><code># Parent only +t1 <- system.time(mmkin_bench(c("SFO", "FOMC", "DFOP", "HS"), list(FOCUS_2006_C, FOCUS_2006_D)))[["elapsed"]] +t2 <- system.time(mmkin_bench(c("SFO", "FOMC", "DFOP", "HS"), list(FOCUS_2006_C, FOCUS_2006_D), error_model = "tc"))[["elapsed"]] + +# One metabolite +SFO_SFO <- mkinmod( + parent = mkinsub("SFO", "m1"), + m1 = mkinsub("SFO"))</code></pre> +<pre><code>## Successfully compiled differential equation model from auto-generated C code.</code></pre> +<pre class="r"><code>FOMC_SFO <- mkinmod( + parent = mkinsub("FOMC", "m1"), + m1 = mkinsub("SFO"))</code></pre> +<pre><code>## Successfully compiled differential equation model from auto-generated C code.</code></pre> +<pre class="r"><code>DFOP_SFO <- mkinmod( + parent = mkinsub("FOMC", "m1"), + m1 = mkinsub("SFO"))</code></pre> +<pre><code>## Successfully compiled differential equation model from auto-generated C code.</code></pre> +<pre class="r"><code>t3 <- system.time(mmkin_bench(list(SFO_SFO, FOMC_SFO, DFOP_SFO), list(FOCUS_2006_D)))[["elapsed"]]</code></pre> +<pre><code>## Warning in mkinfit(models[[model_index]], datasets[[dataset_index]], ...): +## Observations with value of zero were removed from the data + +## Warning in mkinfit(models[[model_index]], datasets[[dataset_index]], ...): +## Observations with value of zero were removed from the data + +## Warning in mkinfit(models[[model_index]], datasets[[dataset_index]], ...): +## Observations with value of zero were removed from the data</code></pre> +<pre class="r"><code>t4 <- system.time(mmkin_bench(list(SFO_SFO, FOMC_SFO, DFOP_SFO), list(subset(FOCUS_2006_D, value != 0)), error_model = "tc"))[["elapsed"]] +t5 <- system.time(mmkin_bench(list(SFO_SFO, FOMC_SFO, DFOP_SFO), list(FOCUS_2006_D), error_model = "obs"))[["elapsed"]]</code></pre> +<pre><code>## Warning in mkinfit(models[[model_index]], datasets[[dataset_index]], ...): +## Observations with value of zero were removed from the data + +## Warning in mkinfit(models[[model_index]], datasets[[dataset_index]], ...): +## Observations with value of zero were removed from the data + +## Warning in mkinfit(models[[model_index]], datasets[[dataset_index]], ...): +## Observations with value of zero were removed from the data</code></pre> +<pre class="r"><code># Two metabolites, synthetic data +m_synth_SFO_lin <- mkinmod(parent = mkinsub("SFO", "M1"), + M1 = mkinsub("SFO", "M2"), + M2 = mkinsub("SFO"), + use_of_ff = "max", quiet = TRUE) + +m_synth_DFOP_par <- mkinmod(parent = mkinsub("DFOP", c("M1", "M2")), + M1 = mkinsub("SFO"), + M2 = mkinsub("SFO"), + use_of_ff = "max", quiet = TRUE) + +SFO_lin_a <- synthetic_data_for_UBA_2014[[1]]$data + +DFOP_par_c <- synthetic_data_for_UBA_2014[[12]]$data + +t6 <- system.time(mmkin_bench(list(m_synth_SFO_lin), list(SFO_lin_a)))["elapsed"] +t7 <- system.time(mmkin_bench(list(m_synth_DFOP_par), list(DFOP_par_c)))["elapsed"] + +t8 <- system.time(mmkin_bench(list(m_synth_SFO_lin), list(SFO_lin_a), error_model = "tc"))["elapsed"] +t9 <- system.time(mmkin_bench(list(m_synth_DFOP_par), list(DFOP_par_c), error_model = "tc"))["elapsed"] + +t10 <- system.time(mmkin_bench(list(m_synth_SFO_lin), list(SFO_lin_a), error_model = "obs"))["elapsed"] +t11 <- system.time(mmkin_bench(list(m_synth_DFOP_par), list(DFOP_par_c), error_model = "obs"))["elapsed"] + +mkin_benchmarks[system_string, paste0("t", 1:11)] <- c(t1, t2, t3, t4, t5, t6, t7, t8, t9, t10, t11) +mkin_benchmarks</code></pre> +<pre><code>## CPU +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.48.1 AMD Ryzen 7 1700 Eight-Core Processor +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.1 AMD Ryzen 7 1700 Eight-Core Processor +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.2 AMD Ryzen 7 1700 Eight-Core Processor +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.3 AMD Ryzen 7 1700 Eight-Core Processor +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.4 AMD Ryzen 7 1700 Eight-Core Processor +## OS +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.48.1 Linux +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.1 Linux +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.2 Linux +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.3 Linux +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.4 Linux +## mkin +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.48.1 0.9.48.1 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.1 0.9.49.1 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.2 0.9.49.2 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.3 0.9.49.3 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.4 0.9.49.4 +## t1 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.48.1 3.610 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.1 8.184 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.2 7.064 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.3 7.296 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.4 6.712 +## t2 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.48.1 11.019 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.1 22.889 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.2 12.558 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.3 21.239 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.4 23.082 +## t3 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.48.1 3.764 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.1 4.649 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.2 4.786 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.3 4.510 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.4 3.595 +## t4 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.48.1 14.347 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.1 13.789 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.2 8.461 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.3 13.805 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.4 11.975 +## t5 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.48.1 9.495 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.1 6.395 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.2 5.675 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.3 7.386 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.4 4.881 +## t6 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.48.1 2.623 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.1 2.542 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.2 2.723 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.3 2.643 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.4 1.981 +## t7 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.48.1 4.587 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.1 4.128 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.2 4.478 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.3 4.374 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.4 3.32 +## t8 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.48.1 7.525 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.1 4.632 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.2 4.862 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.3 7.02 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.4 3.309 +## t9 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.48.1 16.621 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.1 8.171 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.2 7.618 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.3 11.124 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.4 6.075 +## t10 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.48.1 8.576 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.1 3.676 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.2 3.579 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.3 5.388 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.4 2.518 +## t11 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.48.1 31.267 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.1 5.636 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.2 5.574 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.3 7.365 +## Linux, AMD Ryzen 7 1700 Eight-Core Processor, mkin version 0.9.49.4 4.289</code></pre> +<pre class="r"><code>save(mkin_benchmarks, file = "~/git/mkin/inst/benchmark_data/mkin_benchmarks.rda")</code></pre> +</div> + + + +</div> +</div> + +</div> + +<script> + +// add bootstrap table styles to pandoc tables +function bootstrapStylePandocTables() { + $('tr.header').parent('thead').parent('table').addClass('table table-condensed'); +} +$(document).ready(function () { + bootstrapStylePandocTables(); +}); + + +</script> + +<!-- dynamically load mathjax for compatibility with self-contained --> +<script> + (function () { + var script = document.createElement("script"); + script.type = "text/javascript"; + script.src = "https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML"; + document.getElementsByTagName("head")[0].appendChild(script); + })(); +</script> + +</body> +</html> |
