diff options
| author | jranke <jranke@edb9625f-4e0d-4859-8d74-9fd3b1da38cb> | 2012-03-15 15:54:14 +0000 |
|---|---|---|
| committer | jranke <jranke@edb9625f-4e0d-4859-8d74-9fd3b1da38cb> | 2012-03-15 15:54:14 +0000 |
| commit | 1718d434efae26de02754c6622c43f4dc9e624b9 (patch) | |
| tree | c2dafe942f65e94cd43e1ba17933b667f284d154 | |
| parent | 2b244ef7d3cbebaaa653d8c8ac87090e34525f7a (diff) | |
Update kinfit and mkin to the latest version published on BerliOS.
git-svn-id: svn+ssh://svn.r-forge.r-project.org/svnroot/kinfit/pkg/mkin@17 edb9625f-4e0d-4859-8d74-9fd3b1da38cb
41 files changed, 25196 insertions, 172 deletions
diff --git a/DESCRIPTION b/DESCRIPTION index 7eabdf2..a2c760c 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -2,18 +2,19 @@ Package: mkin Type: Package Title: Routines for fitting kinetic models with one or more state variables to chemical degradation data -Version: 0.7-6 -Date: 2010-06-09 -Author: Johannes Ranke -Maintainer: Johannes Ranke <jranke@harlan.com> -Description: Calculation routines based on the FOCUS Kinetics Report (2006). Includes - a function for conveniently defining differential equation models, choice of - the optimisation methods made available by the FME package (default is a - Levenberg-Marquardt variant). -Depends: FME +Version: 0.8-11 +Date: 2011-05-19 +Author: Johannes Ranke, Katrin Lindenberger +Maintainer: Johannes Ranke <jranke@users.berlios.de> +Description: Calculation routines based on the FOCUS Kinetics Report (2006). + Includes a function for conveniently defining differential equation models, + model solution based on eigenvalues if possible or using numerical solvers + and a choice of the optimisation methods made available by the FME package + (default is a Levenberg-Marquardt variant). Please note that no warranty is + implied for correctness of results or fitness for a particular purpose. +Depends: FME, deSolve, kinfit +Suggests: RUnit License: GPL LazyLoad: yes LazyData: yes -Packaged: 2010-05-18 12:52:36 UTC; ranke -Repository: CRAN -Date/Publication: 2010-05-18 13:18:05 +URL: http://cran.r-project.org, http://developer.berlios.de/projects/mkin/ diff --git a/R/DFOP.solution.R b/R/DFOP.solution.R new file mode 100644 index 0000000..8531cfe --- /dev/null +++ b/R/DFOP.solution.R @@ -0,0 +1,5 @@ +DFOP.solution <- function(t, parent.0, k1, k2, g)
+{
+ parent = g * parent.0 * exp(-k1 * t) +
+ (1 - g) * parent.0 * exp(-k2 * t)
+}
diff --git a/R/FOMC.solution.R b/R/FOMC.solution.R new file mode 100644 index 0000000..8bd13d6 --- /dev/null +++ b/R/FOMC.solution.R @@ -0,0 +1,4 @@ +FOMC.solution <- function(t, parent.0, alpha, beta)
+{
+ parent = parent.0 / (t/beta + 1)^alpha
+}
diff --git a/R/HS.solution.R b/R/HS.solution.R new file mode 100644 index 0000000..4651a6a --- /dev/null +++ b/R/HS.solution.R @@ -0,0 +1,6 @@ +HS.solution <- function(t, parent.0, k1, k2, tb)
+{
+ parent = ifelse(t <= tb,
+ parent.0 * exp(-k1 * t),
+ parent.0 * exp(-k1 * tb) * exp(-k2 * (t - tb)))
+}
diff --git a/R/SFO.solution.R b/R/SFO.solution.R new file mode 100644 index 0000000..3a376e4 --- /dev/null +++ b/R/SFO.solution.R @@ -0,0 +1,4 @@ +SFO.solution <- function(t, parent.0, k)
+{
+ parent = parent.0 * exp(-k * t)
+}
diff --git a/R/SFORB.solution.R b/R/SFORB.solution.R new file mode 100644 index 0000000..45a4533 --- /dev/null +++ b/R/SFORB.solution.R @@ -0,0 +1,9 @@ +SFORB.solution = function(t, parent.0, k_12, k_21, k_1output) {
+ sqrt_exp = sqrt(1/4 * (k_12 + k_21 + k_1output)^2 + k_12 * k_21 - (k_12 + k_1output) * k_21)
+ b1 = 0.5 * (k_12 + k_21 + k_1output) + sqrt_exp
+ b2 = 0.5 * (k_12 + k_21 + k_1output) - sqrt_exp
+
+ parent = parent.0 *
+ (((k_12 + k_21 - b1)/(b2 - b1)) * exp(-b1 * t) +
+ ((k_12 + k_21 - b2)/(b1 - b2)) * exp(-b2 * t))
+}
diff --git a/R/mkin_long_to_wide.R b/R/mkin_long_to_wide.R index 45ee0a1..ca09b49 100644 --- a/R/mkin_long_to_wide.R +++ b/R/mkin_long_to_wide.R @@ -1,7 +1,28 @@ -mkin_long_to_wide <- function(long_data, time = "time")
+# $Id: mkin_long_to_wide.R 96 2011-04-29 11:10:40Z jranke $
+
+# Copyright (C) 2010-2011 Johannes Ranke
+# Contact: mkin-devel@lists.berlios.de
+
+# This file is part of the R package mkin
+
+# mkin is free software: you can redistribute it and/or modify it under the
+# terms of the GNU General Public License as published by the Free Software
+# Foundation, either version 3 of the License, or (at your option) any later
+# version.
+
+# This program is distributed in the hope that it will be useful, but WITHOUT
+# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
+# details.
+
+# You should have received a copy of the GNU General Public License along with
+# this program. If not, see <http://www.gnu.org/licenses/>
+
+mkin_long_to_wide <- function(long_data, time = "time", outtime = "time")
{
colnames <- unique(long_data$name)
wide_data <- data.frame(time = subset(long_data, name == colnames[1], time))
+ names(wide_data) <- outtime
for (var in colnames) {
wide_data[var] <- subset(long_data, name == var, value)
}
diff --git a/R/mkin_wide_to_long.R b/R/mkin_wide_to_long.R index 21ab77b..995a9be 100644 --- a/R/mkin_wide_to_long.R +++ b/R/mkin_wide_to_long.R @@ -1,3 +1,23 @@ +# $Id: mkin_wide_to_long.R 59 2010-07-28 12:29:15Z jranke $
+
+# Copyright (C) 2010 Johannes Ranke
+# Contact: mkin-devel@lists.berlios.de
+
+# This file is part of the R package mkin
+
+# mkin is free software: you can redistribute it and/or modify it under the
+# terms of the GNU General Public License as published by the Free Software
+# Foundation, either version 3 of the License, or (at your option) any later
+# version.
+
+# This program is distributed in the hope that it will be useful, but WITHOUT
+# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
+# details.
+
+# You should have received a copy of the GNU General Public License along with
+# this program. If not, see <http://www.gnu.org/licenses/>
+
mkin_wide_to_long <- function(wide_data, time = "t")
{
colnames <- names(wide_data)
diff --git a/R/mkinerrmin.R b/R/mkinerrmin.R index 7a922eb..ebed191 100644 --- a/R/mkinerrmin.R +++ b/R/mkinerrmin.R @@ -1,3 +1,23 @@ +# $Id: mkinerrmin.R 59 2010-07-28 12:29:15Z jranke $
+
+# Copyright (C) 2010 Johannes Ranke
+# Contact: mkin-devel@lists.berlios.de
+
+# This file is part of the R package mkin
+
+# mkin is free software: you can redistribute it and/or modify it under the
+# terms of the GNU General Public License as published by the Free Software
+# Foundation, either version 3 of the License, or (at your option) any later
+# version.
+
+# This program is distributed in the hope that it will be useful, but WITHOUT
+# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
+# details.
+
+# You should have received a copy of the GNU General Public License along with
+# this program. If not, see <http://www.gnu.org/licenses/>
+
mkinerrmin <- function(errdata, n.parms, alpha = 0.05)
{
means.mean <- mean(errdata$value_mean, na.rm=TRUE)
diff --git a/R/mkinfit.R b/R/mkinfit.R index f8285fc..b742742 100644 --- a/R/mkinfit.R +++ b/R/mkinfit.R @@ -1,11 +1,36 @@ +# $Id: mkinfit.R 120 2011-09-02 14:25:35Z jranke $
+
+# Copyright (C) 2010-2011 Johannes Ranke
+# Contact: mkin-devel@lists.berlios.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
+
+# mkin is free software: you can redistribute it and/or modify it under the
+# terms of the GNU General Public License as published by the Free Software
+# Foundation, either version 3 of the License, or (at your option) any later
+# version.
+
+# This program is distributed in the hope that it will be useful, but WITHOUT
+# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
+# details.
+
+# You should have received a copy of the GNU General Public License along with
+# this program. If not, see <http://www.gnu.org/licenses/>
+
mkinfit <- function(mkinmod, observed,
parms.ini = rep(0.1, length(mkinmod$parms)),
state.ini = c(100, rep(0, length(mkinmod$diffs) - 1)),
lower = 0, upper = Inf,
fixed_parms = NULL,
fixed_initials = names(mkinmod$diffs)[-1],
+ eigen = FALSE,
plot = FALSE, quiet = FALSE,
err = NULL, weight = "none", scaleVar = FALSE,
+ atol = 1e-6,
...)
{
mod_vars <- names(mkinmod$diffs)
@@ -16,18 +41,6 @@ mkinfit <- function(mkinmod, observed, # Name the parameters if they are not named yet
if(is.null(names(parms.ini))) names(parms.ini) <- mkinmod$parms
- # Create a function calculating the differentials specified by the model
- mkindiff <- function(t, state, parms) {
- time <- t
- diffs <- vector()
- for (box in mod_vars)
- {
- diffname <- paste("d", box, sep="_")
- diffs[diffname] <- with(as.list(c(time,state, parms)),
- eval(parse(text=mkinmod$diffs[[box]])))
- }
- return(list(c(diffs)))
- }
# Name the inital parameter values if they are not named yet
if(is.null(names(state.ini))) names(state.ini) <- mod_vars
@@ -45,6 +58,40 @@ mkinfit <- function(mkinmod, observed, names(state.ini.optim) <- paste(names(state.ini.optim), "0", sep="_")
}
+ # Set upper limit for formation fractions to one if formation fractions are
+ # directly defined and if no user input for upper limit is given
+ if (all(upper==Inf) & any(grepl("f_", names(parms.ini)))==TRUE){
+ upper=c( rep(Inf,length(parms.optim)))
+ upper[grep("f_", names(parms.optim))]=1
+ upper=c(rep(Inf, length(state.ini.optim)), upper)
+ }
+
+ # Decide if the solution of the model can be based on a simple analytical
+ # formula, the spectral decomposition of the matrix (fundamental system)
+ # or a numeric ode solver from the deSolve package
+ if (length(mkinmod$map) == 1) {
+ solution = "analytical"
+ } else {
+ if (is.matrix(mkinmod$coefmat) & eigen) solution = "eigen"
+ else solution = "deSolve"
+ }
+
+ # Create a function calculating the differentials specified by the model
+ # if necessary
+ if(solution == "deSolve") {
+ mkindiff <- function(t, state, parms) {
+ time <- t
+ diffs <- vector()
+ for (box in mod_vars)
+ {
+ diffname <- paste("d", box, sep="_")
+ diffs[diffname] <- with(as.list(c(time,state, parms)),
+ eval(parse(text=mkinmod$diffs[[box]])))
+ }
+ return(list(c(diffs)))
+ }
+ }
+
cost.old <- 1e100
calls <- 0
out_predicted <- NA
@@ -60,19 +107,67 @@ mkinfit <- function(mkinmod, observed, odeparms <- c(P[(length(state.ini.optim) + 1):length(P)], parms.fixed)
outtimes = unique(observed$time)
+ evalparse <- function(string)
+ {
+ eval(parse(text=string), as.list(c(odeparms, odeini)))
+ }
- # Solve the ode
- out <- ode(
- y = odeini,
- times = outtimes,
- func = mkindiff,
- parms = odeparms)
-
+ # Solve the system
+ if (solution == "analytical") {
+ parent.type = names(mkinmod$map[[1]])[1]
+ parent.name = names(mkinmod$diffs)[[1]]
+ o <- switch(parent.type,
+ SFO = SFO.solution(outtimes,
+ evalparse(parent.name),
+ evalparse(paste("k", parent.name, "sink", sep="_"))),
+ FOMC = FOMC.solution(outtimes,
+ evalparse(parent.name),
+ evalparse("alpha"), evalparse("beta")),
+ DFOP = DFOP.solution(outtimes,
+ evalparse(parent.name),
+ evalparse("k1"), evalparse("k2"),
+ evalparse("g")),
+ HS = HS.solution(outtimes,
+ evalparse(parent.name),
+ evalparse("k1"), evalparse("k2"),
+ evalparse("tb")),
+ SFORB = SFORB.solution(outtimes,
+ evalparse(parent.name),
+ evalparse(paste("k", parent.name, "bound", sep="_")),
+ evalparse(paste("k", sub("free", "bound", parent.name), "free", sep="_")),
+ evalparse(paste("k", parent.name, "sink", sep="_")))
+ )
+ out <- cbind(outtimes, o)
+ dimnames(out) <- list(outtimes, c("time", sub("_free", "", parent.name)))
+ }
+ if (solution == "eigen") {
+ coefmat.num <- matrix(sapply(as.vector(mkinmod$coefmat), evalparse),
+ nrow = length(mod_vars))
+ e <- eigen(coefmat.num)
+ c <- solve(e$vectors, odeini)
+ f.out <- function(t) {
+ e$vectors %*% diag(exp(e$values * t), nrow=length(mod_vars)) %*% c
+ }
+ o <- matrix(mapply(f.out, outtimes),
+ nrow = length(mod_vars), ncol = length(outtimes))
+ dimnames(o) <- list(mod_vars, outtimes)
+ out <- cbind(time = outtimes, t(o))
+ }
+ if (solution == "deSolve")
+ {
+ out <- ode(
+ y = odeini,
+ times = outtimes,
+ func = mkindiff,
+ parms = odeparms,
+ atol = atol
+ )
+ }
# Output transformation for models with unobserved compartments like SFORB
out_transformed <- data.frame(time = out[,"time"])
for (var in names(mkinmod$map)) {
- if(length(mkinmod$map[[var]]) == 1) {
+ if((length(mkinmod$map[[var]]) == 1) || solution == "analytical") {
out_transformed[var] <- out[, var]
} else {
out_transformed[var] <- rowSums(out[, mkinmod$map[[var]]])
@@ -90,19 +185,53 @@ mkinfit <- function(mkinmod, observed, # Plot the data and current model output if requested
if(plot) {
outtimes_plot = seq(min(observed$time), max(observed$time), length.out=100)
- out_plot <- ode(
- y = odeini,
- times = outtimes_plot,
- func = mkindiff,
- parms = odeparms)
+ if (solution == "analytical") {
+ o_plot <- switch(parent.type,
+ SFO = SFO.solution(outtimes_plot,
+ evalparse(parent.name),
+ evalparse(paste("k", parent.name, "sink", sep="_"))),
+ FOMC = FOMC.solution(outtimes_plot,
+ evalparse(parent.name),
+ evalparse("alpha"), evalparse("beta")),
+ DFOP = DFOP.solution(outtimes_plot,
+ evalparse(parent.name),
+ evalparse("k1"), evalparse("k2"),
+ evalparse("g")),
+ HS = HS.solution(outtimes_plot,
+ evalparse(parent.name),
+ evalparse("k1"), evalparse("k2"),
+ evalparse("tb")),
+ SFORB = SFORB.solution(outtimes_plot,
+ evalparse(parent.name),
+ evalparse(paste("k", parent.name, "bound", sep="_")),
+ evalparse(paste("k", sub("free", "bound", parent.name), "free", sep="_")),
+ evalparse(paste("k", parent.name, "sink", sep="_")))
+ )
+ out_plot <- cbind(outtimes_plot, o_plot)
+ dimnames(out_plot) <- list(outtimes_plot, c("time", sub("_free", "", parent.name)))
+ }
+ if(solution == "eigen") {
+ o_plot <- matrix(mapply(f.out, outtimes_plot),
+ nrow = length(mod_vars), ncol = length(outtimes_plot))
+ dimnames(o_plot) <- list(mod_vars, outtimes_plot)
+ out_plot <- cbind(time = outtimes_plot, t(o_plot))
+ }
+ if (solution == "deSolve") {
+ out_plot <- ode(
+ y = odeini,
+ times = outtimes_plot,
+ func = mkindiff,
+ parms = odeparms)
+ }
out_transformed_plot <- data.frame(time = out_plot[,"time"])
- for (var in names(mkinmod$map)) {
- if(length(mkinmod$map[[var]]) == 1) {
+ for (var in obs_vars) {
+ if((length(mkinmod$map[[var]]) == 1) || solution == "analytical") {
out_transformed_plot[var] <- out_plot[, var]
} else {
out_transformed_plot[var] <- rowSums(out_plot[, mkinmod$map[[var]]])
}
}
+ out_transformed_plot <<- out_transformed_plot
plot(0, type="n",
xlim = range(observed$time), ylim = range(observed$value, na.rm=TRUE),
@@ -124,8 +253,17 @@ mkinfit <- function(mkinmod, observed, }
fit <- modFit(cost, c(state.ini.optim, parms.optim), lower = lower, upper = upper, ...)
- # We need the function for plotting
- fit$mkindiff <- mkindiff
+ # We need to return some more data for summary and plotting
+ fit$solution <- solution
+ if (solution == "eigen") {
+ fit$coefmat <- mkinmod$coefmat
+ }
+ if (solution == "deSolve") {
+ fit$mkindiff <- mkindiff
+ }
+ if (plot == TRUE) {
+ fit$out_transformed_plot = out_transformed_plot
+ }
# We also need various other information for summary and plotting
fit$map <- mkinmod$map
@@ -161,54 +299,109 @@ mkinfit <- function(mkinmod, observed, n.optim <- n.k.optim + n.initials.optim
if ("alpha" %in% names(parms.optim)) n.optim <- n.optim + 1
if ("beta" %in% names(parms.optim)) n.optim <- n.optim + 1
+ if ("k1" %in% names(parms.optim)) n.optim <- n.optim + 1
+ if ("k2" %in% names(parms.optim)) n.optim <- n.optim + 1
+ if ("g" %in% names(parms.optim)) n.optim <- n.optim + 1
+ if ("tb" %in% names(parms.optim)) n.optim <- n.optim + 1
errmin.tmp <- mkinerrmin(errdata.var, n.optim)
errmin[obs_var, c("err.min", "n.optim", "df")] <- errmin.tmp
}
fit$errmin <- errmin
- # Calculate dissipation times DT50 and DT90
+ # Calculate dissipation times DT50 and DT90 and formation fractions
parms.all = c(fit$par, parms.fixed)
fit$distimes <- data.frame(DT50 = rep(NA, length(obs_vars)), DT90 = rep(NA, length(obs_vars)),
row.names = obs_vars)
+ fit$ff <- vector()
+ fit$SFORB <- vector()
for (obs_var in obs_vars) {
- type = names(mkinmod$map[[obs_var]])[1]
- if (type == "SFO") {
- k_names = grep(paste("k", obs_var, sep="_"), names(parms.all), value=TRUE)
- k_tot = sum(parms.all[k_names])
- DT50 = log(2)/k_tot
- DT90 = log(10)/k_tot
+ type = names(mkinmod$map[[obs_var]])[1]
+ if (type == "SFO") {
+ k_names = grep(paste("k", obs_var, sep="_"), names(parms.all), value=TRUE)
+ k_tot = sum(parms.all[k_names])
+ DT50 = log(2)/k_tot
+ DT90 = log(10)/k_tot
+ for (k_name in k_names)
+ {
+ fit$ff[[sub("k_", "", k_name)]] = parms.all[[k_name]] / k_tot
}
- if (type == "FOMC") {
- alpha = parms.all["alpha"]
- beta = parms.all["beta"]
- DT50 = beta * (2^(1/alpha) - 1)
- DT90 = beta * (10^(1/alpha) - 1)
+ }
+ if (type == "FOMC") {
+ alpha = parms.all["alpha"]
+ beta = parms.all["beta"]
+ DT50 = beta * (2^(1/alpha) - 1)
+ DT90 = beta * (10^(1/alpha) - 1)
+ }
+ if (type == "DFOP") {
+ k1 = parms.all["k1"]
+ k2 = parms.all["k2"]
+ g = parms.all["g"]
+ f <- function(t, x) {
+ fraction <- g * exp( - k1 * t) + (1 - g) * exp( - k2 * t)
+ (fraction - (1 - x/100))^2
}
- if (type == "SFORB") {
- # FOCUS kinetics (2006), p. 60 f
- k_out_names = grep(paste("k", obs_var, "free", sep="_"), names(parms.all), value=TRUE)
- k_out_names = setdiff(k_out_names, paste("k", obs_var, "free", "bound", sep="_"))
- k_1output = sum(parms.all[k_out_names])
- k_12 = parms.all[paste("k", obs_var, "free", "bound", sep="_")]
- k_21 = parms.all[paste("k", obs_var, "bound", "free", sep="_")]
-
- sqrt_exp = sqrt(1/4 * (k_12 + k_21 + k_1output)^2 + k_12 * k_21 - (k_12 + k_1output) * k_21)
- b1 = 0.5 * (k_12 + k_21 + k_1output) + sqrt_exp
- b2 = 0.5 * (k_12 + k_21 + k_1output) - sqrt_exp
-
- SFORB_fraction = function(t) {
- ((k_12 + k_21 - b1)/(b2 - b1)) * exp(-b1 * t) +
- ((k_12 + k_21 - b2)/(b1 - b2)) * exp(-b2 * t)
- }
- f_50 <- function(t) (SFORB_fraction(t) - 0.5)^2
- max_DT <- 1000
- DT50.o <- optimize(f_50, c(0.01, max_DT))$minimum
- if (abs(DT50.o - max_DT) < 0.01) DT50 = NA else DT50 = DT50.o
- f_90 <- function(t) (SFORB_fraction(t) - 0.1)^2
- DT90.o <- optimize(f_90, c(0.01, 1000))$minimum
- if (abs(DT90.o - max_DT) < 0.01) DT90 = NA else DT90 = DT90.o
+ DTmax <- 1000
+ DT50.o <- optimize(f, c(0.001, DTmax), x=50)$minimum
+ DT50 = ifelse(DTmax - DT50.o < 0.1, NA, DT50.o)
+ DT90.o <- optimize(f, c(0.001, DTmax), x=90)$minimum
+ DT90 = ifelse(DTmax - DT90.o < 0.1, NA, DT90.o)
+ }
+ if (type == "HS") {
+ k1 = parms.all["k1"]
+ k2 = parms.all["k2"]
+ tb = parms.all["tb"]
+ DTx <- function(x) {
+ DTx.a <- (log(100/(100 - x)))/k1
+ DTx.b <- tb + (log(100/(100 - x)) - k1 * tb)/k2
+ if (DTx.a < tb) DTx <- DTx.a
+ else DTx <- DTx.b
+ return(DTx)
}
- fit$distimes[obs_var, ] = c(DT50, DT90)
+ DT50 <- DTx(50)
+ DT90 <- DTx(90)
+ }
+ # Back-calculation of formation fractions in case of nonlinear parent kinetics
+ if (type %in% c("FOMC", "DFOP", "HS")) {
+ ff_names = names(mkinmod$ff)
+ for (ff_name in ff_names)
+ {
+ fit$ff[[paste(obs_var, ff_name, sep="_")]] =
+ eval(parse(text = mkinmod$ff[ff_name]), as.list(parms.all))
+ }
+ fit$ff[[paste(obs_var, "sink", sep="_")]] = 1 - sum(fit$ff)
+ }
+ if (type == "SFORB") {
+ # FOCUS kinetics (2006), p. 60 f
+ k_out_names = grep(paste("k", obs_var, "free", sep="_"), names(parms.all), value=TRUE)
+ k_out_names = setdiff(k_out_names, paste("k", obs_var, "free", "bound", sep="_"))
+ k_1output = sum(parms.all[k_out_names])
+ k_12 = parms.all[paste("k", obs_var, "free", "bound", sep="_")]
+ k_21 = parms.all[paste("k", obs_var, "bound", "free", sep="_")]
+
+ sqrt_exp = sqrt(1/4 * (k_12 + k_21 + k_1output)^2 + k_12 * k_21 - (k_12 + k_1output) * k_21)
+ b1 = 0.5 * (k_12 + k_21 + k_1output) + sqrt_exp
+ b2 = 0.5 * (k_12 + k_21 + k_1output) - sqrt_exp
+
+ SFORB_fraction = function(t) {
+ ((k_12 + k_21 - b1)/(b2 - b1)) * exp(-b1 * t) +
+ ((k_12 + k_21 - b2)/(b1 - b2)) * exp(-b2 * t)
+ }
+ f_50 <- function(t) (SFORB_fraction(t) - 0.5)^2
+ max_DT <- 1000
+ DT50.o <- optimize(f_50, c(0.01, max_DT))$minimum
+ if (abs(DT50.o - max_DT) < 0.01) DT50 = NA else DT50 = DT50.o
+ f_90 <- function(t) (SFORB_fraction(t) - 0.1)^2
+ DT90.o <- optimize(f_90, c(0.01, max_DT))$minimum
+ if (abs(DT90.o - max_DT) < 0.01) DT90 = NA else DT90 = DT90.o
+ for (k_out_name in k_out_names)
+ {
+ fit$ff[[sub("k_", "", k_out_name)]] = parms.all[[k_out_name]] / k_1output
+ }
+ # Return the eigenvalues for comparison with DFOP rate constants
+ fit$SFORB[[paste(obs_var, "b1", sep="_")]] = b1
+ fit$SFORB[[paste(obs_var, "b2", sep="_")]] = b2
+ }
+ fit$distimes[obs_var, ] = c(DT50, DT90)
}
# Collect observed, predicted and residuals
@@ -217,25 +410,74 @@ mkinfit <- function(mkinmod, observed, data$residual <- data$observed - data$predicted
data$variable <- ordered(data$variable, levels = obs_vars)
fit$data <- data[order(data$variable, data$time), ]
+ fit$atol <- atol
class(fit) <- c("mkinfit", "modFit")
return(fit)
}
-summary.mkinfit <- function(object, data = TRUE, distimes = TRUE, cov = FALSE,...) {
- ans <- FME:::summary.modFit(object, cov = cov)
+summary.mkinfit <- function(object, data = TRUE, distimes = TRUE, ff = TRUE, cov = FALSE,...) {
+ param <- object$par
+ pnames <- names(param)
+ p <- length(param)
+ covar <- try(solve(0.5*object$hessian), silent = TRUE) # unscaled covariance
+ if (!is.numeric(covar)) {
+ message <- "Cannot estimate covariance; system is singular"
+ warning(message)
+ covar <- matrix(data = NA, nrow = p, ncol = p)
+ } else message <- "ok"
+
+ rownames(covar) <- colnames(covar) <-pnames
+ rdf <- object$df.residual
+ resvar <- object$ssr / rdf
+ se <- sqrt(diag(covar) * resvar)
+ names(se) <- pnames
+ tval <- param / se
+ modVariance <- object$ssr / length(object$residuals)
+
+ if (!all(object$start$lower >=0)) {
+ message <- "Note that the one-sided t-test may not be appropriate if
+ parameter values below zero are possible."
+ warning(message)
+ } else message <- "ok"
+
+ param <- cbind(param, se, tval, pt(tval, rdf, lower.tail = FALSE))
+ dimnames(param) <- list(pnames, c("Estimate", "Std. Error",
+ "t value", "Pr(>t)"))
+ if(cov)
+ ans <- list(residuals = object$residuals,
+ residualVariance = resvar,
+ sigma = sqrt(resvar),
+ modVariance = modVariance,
+ df = c(p, rdf), cov.unscaled = covar,
+ cov.scaled = covar * resvar,
+ info = object$info, niter = object$iterations,
+ stopmess = message,
+ par = param)
+ else
+ ans <- list(residuals = object$residuals,
+ residualVariance = resvar,
+ sigma = sqrt(resvar),
+ modVariance = modVariance,
+ df = c(p, rdf),
+ info = object$info, niter = object$iterations,
+ stopmess = message,
+ par = param)
+
ans$diffs <- object$diffs
if(data) ans$data <- object$data
ans$start <- object$start
ans$fixed <- object$fixed
ans$errmin <- object$errmin
if(distimes) ans$distimes <- object$distimes
+ if(ff) ans$ff <- object$ff
+ if(length(object$SFORB) != 0) ans$SFORB <- object$SFORB
class(ans) <- c("summary.mkinfit", "summary.modFit")
return(ans)
}
# Expanded from print.summary.modFit
-print.summary.mkinfit <- function(x, digits = max(3, getOption("digits") - 3), ...) {
+print.summary.mkinfit <- function(x, digits = max(3, getOption("digits") - 3), tval = TRUE, ...) {
cat("\nEquations:\n")
print(noquote(as.character(x[["diffs"]])))
df <- x$df
@@ -249,7 +491,11 @@ print.summary.mkinfit <- function(x, digits = max(3, getOption("digits") - 3), . else print(x$fixed)
cat("\nOptimised parameters:\n")
- printCoefmat(x$par, digits = digits, ...)
+ if (tval) printCoefmat(x$par, digits = digits, ...)
+ else {
+ printCoefmat(x$par[,c(1,2,4)], cs.in = c(1,2), tst.ind = integer(0),
+ P.values = TRUE, has.Pvalue = TRUE, digits = digits, ...)
+ }
cat("\nResidual standard error:",
format(signif(x$sigma, digits)), "on", rdf, "degrees of freedom\n")
@@ -260,10 +506,22 @@ print.summary.mkinfit <- function(x, digits = max(3, getOption("digits") - 3), . printdistimes <- !is.null(x$distimes)
if(printdistimes){
- cat("\nEstimated disappearance times\n")
+ cat("\nEstimated disappearance times:\n")
print(x$distimes, digits=digits,...)
}
+ printff <- !is.null(x$ff)
+ if(printff){
+ cat("\nEstimated formation fractions:\n")
+ print(data.frame(ff = x$ff), digits=digits,...)
+ }
+
+ printSFORB <- !is.null(x$SFORB)
+ if(printSFORB){
+ cat("\nEstimated Eigenvalues of SFORB model(s):\n")
+ print(x$SFORB, digits=digits,...)
+ }
+
printcor <- !is.null(x$cov.unscaled)
if (printcor){
Corr <- cov2cor(x$cov.unscaled)
diff --git a/R/mkinmod.R b/R/mkinmod.R index 643e855..31c778c 100644 --- a/R/mkinmod.R +++ b/R/mkinmod.R @@ -1,3 +1,23 @@ +# $Id: mkinmod.R 71 2010-09-12 01:13:36Z jranke $
+
+# Copyright (C) 2010 Johannes Ranke
+# Contact: mkin-devel@lists.berlios.de
+
+# This file is part of the R package mkin
+
+# mkin is free software: you can redistribute it and/or modify it under the
+# terms of the GNU General Public License as published by the Free Software
+# Foundation, either version 3 of the License, or (at your option) any later
+# version.
+
+# This program is distributed in the hope that it will be useful, but WITHOUT
+# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
+# details.
+
+# You should have received a copy of the GNU General Public License along with
+# this program. If not, see <http://www.gnu.org/licenses/>
+
mkinmod <- function(...)
{
spec <- list(...)
@@ -5,22 +25,36 @@ mkinmod <- function(...) # The returned model will be a list of character vectors, containing
# differential equations, parameter names and a mapping from model variables
- # to observed variables
+ # to observed variables. If possible, a matrix representation of the
+ # differential equations is included
parms <- vector()
diffs <- vector()
map <- list()
+ if(spec[[1]]$type %in% c("FOMC", "DFOP", "HS")) {
+ mat = FALSE
+ if(!is.null(spec[[1]]$to)) {
+ message <- paste("Only constant formation fractions over time are implemented.",
+ "Depending on the reason for the time dependence of degradation, this may be unrealistic",
+ sep="\n")
+ warning(message)
+ } else message <- "ok"
+ } else mat = TRUE
# Establish list of differential equations
for (varname in obs_vars)
{
- if(is.null(spec[[varname]]$type)) stop("Every argument to mkinmod must be a list containing a type component")
- if(!spec[[varname]]$type %in% c("SFO", "FOMC", "SFORB")) stop("Available types are SFO, FOMC and SFORB only")
+ if(is.null(spec[[varname]]$type)) stop(
+ "Every argument to mkinmod must be a list containing a type component")
+ if(!spec[[varname]]$type %in% c("SFO", "FOMC", "DFOP", "HS", "SFORB")) stop(
+ "Available types are SFO, FOMC, DFOP, HS and SFORB only")
new_parms <- vector()
# New (sub)compartments (boxes) needed for the model type
new_boxes <- switch(spec[[varname]]$type,
SFO = varname,
FOMC = varname,
+ DFOP = varname,
+ HS = varname,
SFORB = paste(varname, c("free", "bound"), sep="_")
)
map[[varname]] <- new_boxes
@@ -29,25 +63,64 @@ mkinmod <- function(...) # Start a new differential equation for each new box
new_diffs <- paste("d_", new_boxes, " =", sep="")
- # Construct terms for transfer to sink and add if appropriate
+ # Turn on sink if not specified otherwise
if(is.null(spec[[varname]]$sink)) spec[[varname]]$sink <- TRUE
+
+ # Construct and add FOMC term and add FOMC parameters if needed
+ if(spec[[varname]]$type == "FOMC") {
+ if(match(varname, obs_vars) != 1) {
+ stop("Type FOMC is only possible for the first compartment, which is assumed to be the source compartment")
+ }
+ if(spec[[varname]]$sink == FALSE) {
+ stop("Turning off the sink for the FOMC model is not implemented")
+ }
+ # From p. 53 of the FOCUS kinetics report
+ nonlinear_term <- paste("(alpha/beta) * ((time/beta) + 1)^-1 *", new_boxes[[1]])
+ new_diffs[[1]] <- paste(new_diffs[[1]], "-", nonlinear_term)
+ new_parms <- c("alpha", "beta")
+ ff <- vector()
+ }
+
+ # Construct and add DFOP term and add DFOP parameters if needed
+ if(spec[[varname]]$type == "DFOP") {
+ if(match(varname, obs_vars) != 1) {
+ stop("Type DFOP is only possible for the first compartment, which is assumed to be the source compartment")
+ }
+ if(spec[[varname]]$sink == FALSE) {
+ stop("Turning off the sink for the DFOP model is not implemented")
+ }
+ # From p. 57 of the FOCUS kinetics report
+ nonlinear_term <- paste("((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time))) *", new_boxes[[1]])
+ new_diffs[[1]] <- paste(new_diffs[[1]], "-", nonlinear_term)
+ new_parms <- c("k1", "k2", "g")
+ ff <- vector()
+ }
+
+ # Construct and add HS term and add HS parameters if needed
+ if(spec[[varname]]$type == "HS") {
+ if(match(varname, obs_vars) != 1) {
+ stop("Type HS is only possible for the first compartment, which is assumed to be the source compartment")
+ }
+ if(spec[[varname]]$sink == FALSE) {
+ stop("Turning off the sink for the HS model is not implemented")
+ }
+ # From p. 55 of the FOCUS kinetics report
+ nonlinear_term <- paste("ifelse(time <= tb, k1, k2)", "*", new_boxes[[1]])
+ new_diffs[[1]] <- paste(new_diffs[[1]], "-", nonlinear_term)
+ new_parms <- c("k1", "k2", "tb")
+ ff <- vector()
+ }
+
+ # Construct terms for transfer to sink and add if appropriate
+
if(spec[[varname]]$sink) {
- # Add first-order sink term to first (or only) box for SFO and SFORB models
+ # Add first-order sink term to first (or only) box for SFO and SFORB
if(spec[[varname]]$type %in% c("SFO", "SFORB")) {
k_compound_sink <- paste("k", new_boxes[[1]], "sink", sep="_")
sink_term <- paste("-", k_compound_sink, "*", new_boxes[[1]])
new_diffs[[1]] <- paste(new_diffs[[1]], sink_term)
new_parms <- k_compound_sink
}
- if(spec[[varname]]$type == "FOMC") {
- if(match(varname, obs_vars) != 1) {
- stop("Type FOMC is only allowed for the first compartment, which is assumed to be the source compartment")
- }
- # From p. 53 of the FOCUS kinetics report
- fomc_term <- paste("(alpha/beta) * ((time/beta) + 1)^-1 *", new_boxes[[1]])
- new_diffs[[1]] <- paste(new_diffs[[1]], "-", fomc_term)
- new_parms <- c("alpha", "beta")
- }
}
# Add reversible binding if appropriate
@@ -66,7 +139,6 @@ mkinmod <- function(...) names(new_diffs) <- new_boxes
diffs <- c(diffs, new_diffs)
}
-
# Transfer between compartments
for (varname in obs_vars) {
to <- spec[[varname]]$to
@@ -74,6 +146,8 @@ mkinmod <- function(...) origin_box <- switch(spec[[varname]]$type,
SFO = varname,
FOMC = varname,
+ DFOP = varname,
+ HS = varname,
SFORB = paste(varname, "free", sep="_"))
fraction_left <- NULL
for (target in to) {
@@ -82,27 +156,63 @@ mkinmod <- function(...) SFORB = paste(target, "free", sep="_"))
if(spec[[varname]]$type %in% c("SFO", "SFORB")) {
k_from_to <- paste("k", origin_box, target_box, sep="_")
- diffs[[origin_box]] <- paste(diffs[[origin_box]], "-", k_from_to, "*", origin_box)
- diffs[[target_box]] <- paste(diffs[[target_box]], "+", k_from_to, "*", origin_box)
+ diffs[[origin_box]] <- paste(diffs[[origin_box]], "-",
+ k_from_to, "*", origin_box)
+ diffs[[target_box]] <- paste(diffs[[target_box]], "+",
+ k_from_to, "*", origin_box)
parms <- c(parms, k_from_to)
}
- if(spec[[varname]]$type == "FOMC") {
+ if(spec[[varname]]$type %in% c("FOMC", "DFOP", "HS")) {
fraction_to_target = paste("f_to", target, sep="_")
- fraction_not_to_target = paste("(1 - ", fraction_to_target, ")", sep="")
+ fraction_not_to_target = paste("(1 - ", fraction_to_target, ")",
+ sep="")
if(is.null(fraction_left)) {
fraction_really_to_target = fraction_to_target
fraction_left = fraction_not_to_target
} else {
- fraction_really_to_target = paste(fraction_left, " * ", fraction_to_target, sep="")
- fraction_left = paste(fraction_left, " * ", fraction_not_to_target, sep="")
+ fraction_really_to_target = paste(fraction_left, " * ",
+ fraction_to_target, sep="")
+ fraction_left = paste(fraction_left, " * ",
+ fraction_not_to_target, sep="")
}
- diffs[[target_box]] <- paste(diffs[[target_box]], "+", fraction_really_to_target, "*", fomc_term)
+ ff[target_box] = fraction_really_to_target
+ diffs[[target_box]] <- paste(diffs[[target_box]], "+",
+ ff[target_box], "*", nonlinear_term)
parms <- c(parms, fraction_to_target)
}
}
}
}
model <- list(diffs = diffs, parms = parms, map = map)
+
+ # Create coefficient matrix if appropriate
+ if (mat) {
+ boxes <- names(diffs)
+ n <- length(boxes)
+ m <- matrix(nrow=n, ncol=n, dimnames=list(boxes, boxes))
+ for (from in boxes) {
+ for (to in boxes) {
+ if (from == to) {
+ k.candidate = paste("k", from, c(boxes, "sink"), sep="_")
+ k.candidate = sub("free.*bound", "free_bound", k.candidate)
+ k.candidate = sub("bound.*free", "bound_free", k.candidate)
+ k.effective = intersect(model$parms, k.candidate)
+ m[from,to] = ifelse(length(k.effective) > 0,
+ paste("-", k.effective, collapse = " "), "0")
+ } else {
+ k.candidate = paste("k", from, to, sep="_")
+ k.candidate = sub("free.*bound", "free_bound", k.candidate)
+ k.candidate = sub("bound.*free", "bound_free", k.candidate)
+ k.effective = intersect(model$parms, k.candidate)
+ m[to, from] = ifelse(length(k.effective) > 0,
+ k.effective, "0")
+ }
+ }
+ }
+ model$coefmat <- m
+ }
+
+ if (exists("ff")) model$ff = ff
class(model) <- "mkinmod"
invisible(model)
}
diff --git a/R/mkinplot.R b/R/mkinplot.R index d2880c0..d665bc2 100644 --- a/R/mkinplot.R +++ b/R/mkinplot.R @@ -1,5 +1,6 @@ -mkinplot <- function(fit, xlab = "Time", ylab = "Observed", xlim = range(fit$data$time), ylim = range(fit$data$observed, na.rm = TRUE), ...) +mkinplot <- function(fit, xlab = "Time", ylab = "Observed", xlim = range(fit$data$time), ylim = range(fit$data$observed, na.rm = TRUE), legend = TRUE, ...) { + solution = fit$solution fixed <- fit$fixed$value names(fixed) <- rownames(fit$fixed) parms.all <- c(fit$par, fixed) @@ -16,12 +17,60 @@ mkinplot <- function(fit, xlab = "Time", ylab = "Observed", xlim = range(fit$dat rownames(subset(fit$fixed, type == "deparm"))) odeparms <- parms.all[odenames] - # Solve the ode - out <- ode( - y = odeini, - times = outtimes, - func = fit$mkindiff, - parms = odeparms) + # Solve the system + evalparse <- function(string) + { + eval(parse(text=string), as.list(c(odeparms, odeini))) + } + if (solution == "analytical") { + parent.type = names(fit$map[[1]])[1] + parent.name = names(fit$diffs)[[1]] + o <- switch(parent.type, + SFO = SFO.solution(outtimes, + evalparse(parent.name), + evalparse(paste("k", parent.name, "sink", sep="_"))), + FOMC = FOMC.solution(outtimes, + evalparse(parent.name), + evalparse("alpha"), evalparse("beta")), + DFOP = DFOP.solution(outtimes, + evalparse(parent.name), + evalparse("k1"), evalparse("k2"), + evalparse("g")), + HS = HS.solution(outtimes, + evalparse(parent.name), + evalparse("k1"), evalparse("k2"), + evalparse("tb")), + SFORB = SFORB.solution(outtimes, + evalparse(parent.name), + evalparse(paste("k", parent.name, "free_bound", sep="_")), + evalparse(paste("k", parent.name, "bound_free", sep="_")), + evalparse(paste("k", parent.name, "free_sink", sep="_"))) + ) + out <- cbind(outtimes, o) + dimnames(out) <- list(outtimes, c("time", parent.name)) + } + if (solution == "eigen") { + coefmat.num <- matrix(sapply(as.vector(fit$coefmat), evalparse), + nrow = length(odeini)) + e <- eigen(coefmat.num) + c <- solve(e$vectors, odeini) + f.out <- function(t) { + e$vectors %*% diag(exp(e$values * t), nrow=length(odeini)) %*% c + } + o <- matrix(mapply(f.out, outtimes), + nrow = length(odeini), ncol = length(outtimes)) + dimnames(o) <- list(names(odeini), NULL) + out <- cbind(time = outtimes, t(o)) + } + if (solution == "deSolve") { + out <- ode( + y = odeini, + times = outtimes, + func = fit$mkindiff, + parms = odeparms, + atol = fit$atol + ) + } # Output transformation for models with unobserved compartments like SFORB out_transformed <- data.frame(time = out[,"time"]) @@ -36,14 +85,16 @@ mkinplot <- function(fit, xlab = "Time", ylab = "Observed", xlim = range(fit$dat # Plot the data and model output plot(0, type="n", xlim = xlim, ylim = ylim, - xlab = xlab, ylab = ylab, ...) - col_obs <- pch_obs <- 1:length(fit$map) - names(col_obs) <- names(pch_obs) <- names(fit$map) - for (obs_var in names(fit$map)) { - points(subset(fit$data, variable == obs_var, c(time, observed)), - pch = pch_obs[obs_var], col = col_obs[obs_var]) - } - matlines(out_transformed$time, out_transformed[-1]) - legend("topright", inset=c(0.05, 0.05), legend=names(fit$map), + xlab = xlab, ylab = ylab, ...) + col_obs <- pch_obs <- 1:length(fit$map) + names(col_obs) <- names(pch_obs) <- names(fit$map) + for (obs_var in names(fit$map)) { + points(subset(fit$data, variable == obs_var, c(time, observed)), + pch = pch_obs[obs_var], col = col_obs[obs_var]) + } + matlines(out_transformed$time, out_transformed[-1]) + if (legend == TRUE) { + legend("topright", inset=c(0.05, 0.05), legend=names(fit$map), col=col_obs, pch=pch_obs, lty=1:length(pch_obs)) + } } diff --git a/R/mkinresplot.R b/R/mkinresplot.R new file mode 100644 index 0000000..bede5f7 --- /dev/null +++ b/R/mkinresplot.R @@ -0,0 +1,54 @@ +# $Id: $
+
+# Copyright (C) 2008-2011 Katrin Lindenberger and Johannes Ranke
+# Contact: mkin-devel@lists.berlios.de
+
+# This file is part of the R package mkin
+
+# mkin is free software: you can redistribute it and/or modify it under the
+# terms of the GNU General Public License as published by the Free Software
+# Foundation, either version 3 of the License, or (at your option) any later
+# version.
+
+# This program is distributed in the hope that it will be useful, but WITHOUT
+# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
+# details.
+
+# You should have received a copy of the GNU General Public License along with
+# this program. If not, see <http://www.gnu.org/licenses/>
+
+mkinresplot <- function (object, obs_vars = vector(),
+ xlab = "Time [days]", ylab = "Residual [% of applied radioactivity]",
+ maxabs = "auto", legend= TRUE, lpos = "topright", ...)
+{
+ obs_vars_all <- as.character(unique(object$data$variable))
+
+ if (length(obs_vars) > 0){
+ vars <- intersect(obs_vars_all, obs_vars)
+ } else vars <- obs_vars_all
+
+ residuals <- subset(object$data, variable %in% vars, residual)
+
+ if (maxabs == "auto") maxabs = max(abs(residuals), na.rm = TRUE)
+
+ col_obs <- pch_obs <- 1:length(vars)
+ names(col_obs) <- names(pch_obs) <- vars
+
+ plot(0, xlab = xlab, ylab = ylab,
+ xlim = c(0, 1.1 * max(object$data$time)),
+ ylim = c(-1.2 * maxabs, 1.2 * maxabs), ...)
+
+ for(var in vars){
+ residuals_plot <- subset(object$data, variable == var, c("time", "residual"))
+ points(residuals_plot, pch = pch_obs[var], col = col_obs[var])
+ }
+
+ abline(h = 0, lty = 2)
+ title(paste("Residuals of mkin fit"), font.main = 1)
+
+ if (legend == TRUE) {
+ legend(lpos, inset = c(0.05, 0.05), legend = vars,
+ col = col_obs, pch = pch_obs)
+ }
+}
diff --git a/R/mkinstart.R b/R/mkinstart.R new file mode 100644 index 0000000..46e5bed --- /dev/null +++ b/R/mkinstart.R @@ -0,0 +1,23 @@ +mkinstart <- function(model, data, mode = "auto")
+{
+ if (class(model) != "mkinmod") stop("The first argument must be a model of class mkinmod")
+ names <- model$parms
+ observed <- names(model$map)
+ if(!all(observed %in% levels(data$name))) stop("The data must contain the observed variables used in the model")
+ for (obs in observed)
+ {
+ tmp <- subset(data, name == obs)
+ max <- tmp[which.max(tmp$value), ]
+ type = names(model$map[[obs]])[[1]]
+ kinmodel <- ifelse(type == "SFORB", "DFOP", type)
+ tmp.longdata <- subset(data, name == obs & time >= max$time)
+ tmp.widedata <- mkin_long_to_wide(tmp.longdata, outtime = "t")
+ names(tmp.widedata) <- c("t", "parent")
+ tmp.fit <- kinfit(
+ kindata = tmp.widedata,
+ kinmodels = kinmodel,
+ parent.0.user = max$value)
+ if(class(tmp.fit[[kinmodel]]) == "try-error") stop(paste("Automatic generation of starting parameters failed\nkinfit failed to find a", kinmodel, "fit for", obs))
+ tmp.results <- kinresults(tmp.fit)
+ }
+}
diff --git a/inst/GUI/.RData b/inst/GUI/.RData Binary files differnew file mode 100644 index 0000000..2e82ef7 --- /dev/null +++ b/inst/GUI/.RData diff --git a/inst/GUI/.Rhistory b/inst/GUI/.Rhistory new file mode 100644 index 0000000..0704745 --- /dev/null +++ b/inst/GUI/.Rhistory @@ -0,0 +1,3 @@ +require(gWidgetsWWW) +localServerStart("simple.R") +quit("yes") diff --git a/inst/GUI/gdf-test.R b/inst/GUI/gdf-test.R new file mode 100644 index 0000000..b1ec20a --- /dev/null +++ b/inst/GUI/gdf-test.R @@ -0,0 +1,12 @@ +w <- gwindow("gdf test")
+g <- ggroup(horizontal=FALSE, cont=w)
+d <- gdf(data.frame(a=c(1.1, 2.2, 3.3), b= c("one", "two", "three"), stringsAsFactors=FALSE),
+ name = "Test for editing character columns", cont=g)
+size(d) <- c(400,400)
+gbutton("Change [1,2]", handler=function(h,...) {
+ d[1,2] <- "test"
+}, container=g)
+gbutton("Value of [1,2]", handler=function(h,...) {
+ galert(d[1,2], parent=d)
+}, cont=g)
+visible(w) <- TRUE
diff --git a/inst/GUI/simple-Gtk.R b/inst/GUI/simple-Gtk.R new file mode 100644 index 0000000..8affdcc --- /dev/null +++ b/inst/GUI/simple-Gtk.R @@ -0,0 +1,33 @@ +# Work in progress - simple Gtk2 GUI for mkin
+require(gWidgets)
+options("guiToolkit"="RGtk2")
+
+w <- gwindow("Simple R GUI for kinetic evaluations",
+ width=800, height=500)
+
+# Project definition expanding group
+pr <- gexpandgroup("Project definition", container=w)
+
+n.observed <- 1
+max.n.observed <- 9
+observed.names = c("parent", paste("M", 1:(max.n.observed - 1), sep=""))
+
+prg <- ggroup(horizontal=FALSE, cont = w)
+prl <- glayout(cont = prg)
+prl[1,1] <- glabel("Number of observed variables", cont=prl)
+prl[1,2] <- (n.observed.gw = gcombobox(
+ 1:max.n.observed,
+ handler = function(h, ...) {
+ n.observed <- svalue(n.observed.gw)
+ visible(observed.gw) <- c(
+ rep(TRUE, svalue(n.observed)),
+ rep(FALSE, max.n.observed - n.observed))
+ },
+ cont=prl))
+
+observed.gw <- gdf(
+ items = data.frame(Index = 1:max.n.observed,
+ Name = observed.names, stringsAsFactors=FALSE),
+ name = "Names of observed variables",
+ cont=prg)
+
diff --git a/inst/GUI/simple.R b/inst/GUI/simple.R new file mode 100644 index 0000000..c187414 --- /dev/null +++ b/inst/GUI/simple.R @@ -0,0 +1,68 @@ +# Work in progress - simple GUI for mkin
+w <- gwindow('Simple R GUI for kinetic evaluations', visible=FALSE)
+# Project definition {{{
+pr <- gexpandgroup("Project", cont=w)
+
+n.observed <- 1
+max.n.observed <- 9
+observed.names = c("parent", paste("M", 1:(max.n.observed - 1), sep=""))
+
+prg <- ggroup(horizontal=FALSE, cont = pr)
+prl <- glayout(cont = prg)
+prl[1,1] <- glabel("Number of observed variables", cont=prl)
+prl[1,2] <- (n.observed.gw = gcombobox(
+ 1:max.n.observed,
+ handler = function(h, ...) {
+ n.observed <<- svalue(n.observed.gw)
+ filter.expression <- paste("^[1-", n.observed, "]$", sep="")
+ observed.gw$filter("Index", filter.expression)
+ },
+ cont=prl))
+
+observed.gw <- gdf(
+ items = data.frame(Index = 1:max.n.observed,
+ Name = observed.names, stringsAsFactors=FALSE),
+ name = "Names of observed variables",
+ width = 500, height=250, cont=prg)
+
+addSpace(prg, 15)
+prf <- gfile("Project file in binary R format (preferably use .RData as extension)",
+ container = prg)
+addSpring(prg)
+addSpace(prg, 15)
+pr.ok <- gbutton("save",
+ handler=function(h,...) {
+ galert(svalue(prf), parent=w)
+ }, container=prg)
+
+gbutton("ok", handler = function(h, ...) {
+ observed <- observed.gw[1:n.observed,2]
+ save(observed, file="observed.RData")
+ visible(pr) <- FALSE
+ },
+ cont=prg
+)
+
+visible(pr) <- TRUE
+# }}}
+
+# Dataset definition
+ds <- gexpandgroup("Datasets", cont=w)
+s <- gdf(data.frame( Author = c("Meier"), Year = "3", Title = "4"),
+ name = "Studies",
+cont=ds)
+
+size(s) <- c(800,200)
+visible(ds) <- TRUE
+
+# Model definition
+ms <- gexpandgroup("Models", cont=w)
+visible(ms) <- FALSE
+
+# Evaluation window
+mw <- gframe("Evaluations", cont=w)
+
+# Status bar
+gstatusbar("Powered by gWidgetsWWW", cont = w)
+visible(w) <- TRUE
+# vim: set foldmethod=marker:
diff --git a/inst/GUI/test.R b/inst/GUI/test.R new file mode 100644 index 0000000..e33e077 --- /dev/null +++ b/inst/GUI/test.R @@ -0,0 +1,17 @@ +require(gWidgetsWWW)
+localServerStart("simple.R")
+
+localServerStart("gdf-test.R")
+localServerStart("gdf-test-john.R")
+
+localServerStart("Examples/ex-actions.R", package="gWidgetsWWW")
+localServerStart("Examples/ex-add-widget-dynamically.R", package="gWidgetsWWW")
+localServerStart("Examples/ex-clt.R", package="gWidgetsWWW")
+localServerStart("Examples/ex-form.R", package="gWidgetsWWW")
+localServerStart("Examples/ex-gcombobox.R", package="gWidgetsWWW")
+localServerStart("Examples/ex-gtable.R", package="gWidgetsWWW")
+localServerStart("Examples/ex-index.R", package="gWidgetsWWW")
+localServerStart("Examples/ex-layouts.R", package="gWidgetsWWW")
+localServerStart("Examples/ex-simple-gui.R", package="gWidgetsWWW")
+localServerStart("Examples/ex-widgets.R", package="gWidgetsWWW")
+localServerStart("Examples/ex-windows.R", package="gWidgetsWWW")
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%%\VignetteIndexEntry{Routines for fitting kinetic models with one or more state variables to chemical degradation data}
%%VignetteDepends{FME}
%%\usepackage{Sweave}
@@ -78,7 +79,7 @@ barrier for \RR{} newcomers. \subsection{Data format}
The following listing shows example dataset C from the FOCUS kinetics
-report as distributed with the \Rpackage{kinfit} package
+report as distributed with the \Rpackage{mkin} package
<<FOCUS_2006_C_data, echo=TRUE, eval=TRUE>>=
library("mkin")
@@ -101,8 +102,9 @@ as shown in the following listing <<data_format, echo=TRUE>>=
example_data <- data.frame(
+ name = rep("parent", 9),
time = c(0, 1, 3, 7, 14, 28, 63, 91, 119),
- parent = c(85.1, 57.9, 29.9, 14.6, 9.7, 6.6, 4, 3.9, 0.6)
+ value = c(85.1, 57.9, 29.9, 14.6, 9.7, 6.6, 4, 3.9, 0.6)
)
@
@@ -122,12 +124,23 @@ SFORB_SFO <- mkinmod( m1 = list(type = "SFO"))
@
+The model definitions given above define sets of linear first-order ordinary
+differential equations. In these cases, a coefficient matrix is also returned.
+
+Other models that include time on the right-hand side of the differential
+equation are the first-order multi-compartment (FOMC) model and the
+Hockey-Stick (HS) model. At present, only the FOMC model can only be used, and
+only for the parent compound.
+
\subsection{Fitting the model}
Then the model parameters should be fitted to the data. The function
\Robject{mkinfit} internally creates a cost function using \Robject{modCost}
from the \Rpackage{FME} package and the produces a fit using \Robject{modFit}
-from the same package.
+from the same package. In cases of linear first-order differential
+equations, the solution used for calculating the cost function is based
+on the fundamental system of the coefficient matrix, as proposed by
+\citet{bates88}.
<<model_fitting, echo=TRUE>>=
# Do not show significance stars as they interfere with vignette generation
@@ -136,8 +149,10 @@ SFO.fit <- mkinfit(SFO, FOCUS_2006_C) summary(SFO.fit)
SFORB.fit <- mkinfit(SFORB, FOCUS_2006_C)
summary(SFORB.fit)
-SFO_SFO.fit <- mkinfit(SFO_SFO, FOCUS_2006_D)
-summary(SFO_SFO.fit)
+SFO_SFO.fit <- mkinfit(SFO_SFO, FOCUS_2006_D, plot=TRUE)
+summary(SFO_SFO.fit, data=FALSE)
+SFORB_SFO.fit <- mkinfit(SFORB_SFO, FOCUS_2006_D, plot=TRUE)
+summary(SFORB_SFO.fit, data=FALSE)
@
\bibliographystyle{plainnat}
diff --git a/inst/doc/mkin.pdf b/inst/doc/mkin.pdf Binary files differindex 4d2e1d1..f963d1e 100644 --- a/inst/doc/mkin.pdf +++ b/inst/doc/mkin.pdf diff --git a/inst/doc/references.bib b/inst/doc/references.bib index b158eeb..24672e2 100644 --- a/inst/doc/references.bib +++ b/inst/doc/references.bib @@ -53,3 +53,10 @@ address = {Piacenza},
pages = {916--923}
}
+
+@Book{ bates88,
+ title = {Nonlinear regression and its applications},
+ author = {D. Bates and D. Watts},
+ year = {1988},
+ publisher = {Wiley-Interscience}
+}
diff --git a/inst/unitTests/runit.mkinfit.R b/inst/unitTests/runit.mkinfit.R index df09cc6..831c069 100644 --- a/inst/unitTests/runit.mkinfit.R +++ b/inst/unitTests/runit.mkinfit.R @@ -1,3 +1,23 @@ +# $Id: runit.mkinfit.R 68 2010-09-09 22:40:04Z jranke $
+
+# Copyright (C) 2010 Johannes Ranke
+# Contact: mkin-devel@lists.berlios.de
+
+# This file is part of the R package mkin
+
+# mkin is free software: you can redistribute it and/or modify it under the
+# terms of the GNU General Public License as published by the Free Software
+# Foundation, either version 3 of the License, or (at your option) any later
+# version.
+
+# This program is distributed in the hope that it will be useful, but WITHOUT
+# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
+# details.
+
+# You should have received a copy of the GNU General Public License along with
+# this program. If not, see <http://www.gnu.org/licenses/>
+
test.mkinmod.schaefer07_complex_example <- function()
{
schaefer07_complex_model <- mkinmod(
@@ -17,16 +37,16 @@ test.mkinmod.schaefer07_complex_example <- function() r$mkin <- c(
k_parent,
s$distimes["parent", "DT50"],
- k_parent_A1/k_parent,
+ s$ff["parent_A1"],
sum(k_A1_sink, k_A1_A2),
s$distimes["A1", "DT50"],
- k_parent_B1/k_parent,
+ s$ff["parent_B1"],
k_B1_sink,
s$distimes["B1", "DT50"],
- k_parent_C1/k_parent,
+ s$ff["parent_C1"],
k_C1_sink,
s$distimes["C1", "DT50"],
- k_A1_A2/(k_A1_A2 + k_A1_sink),
+ s$ff["A1_A2"],
k_A2_sink,
s$distimes["A2", "DT50"])
r$means <- (r$KinGUI + r$ModelMaker)/2
diff --git a/inst/unitTests/runit.mkinmod.R b/inst/unitTests/runit.mkinmod.R index 44d9ffb..a0e8996 100644 --- a/inst/unitTests/runit.mkinmod.R +++ b/inst/unitTests/runit.mkinmod.R @@ -1,3 +1,23 @@ +# $Id: runit.mkinmod.R 64 2010-09-01 13:33:51Z jranke $
+
+# Copyright (C) 2010 Johannes Ranke
+# Contact: mkin-devel@lists.berlios.de
+
+# This file is part of the R package mkin
+
+# mkin is free software: you can redistribute it and/or modify it under the
+# terms of the GNU General Public License as published by the Free Software
+# Foundation, either version 3 of the License, or (at your option) any later
+# version.
+
+# This program is distributed in the hope that it will be useful, but WITHOUT
+# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
+# details.
+
+# You should have received a copy of the GNU General Public License along with
+# this program. If not, see <http://www.gnu.org/licenses/>
+
test.mkinmod.SFO <- function()
{
SFO.diffs <- c(
@@ -5,7 +25,9 @@ test.mkinmod.SFO <- function() )
SFO.parms <- c("k_parent_sink")
SFO.map <- list(parent = c(SFO = "parent"))
- SFO <- list(diffs = SFO.diffs, parms = SFO.parms, map = SFO.map)
+ SFO.coefmat <- matrix("- k_parent_sink", dimnames = list("parent", "parent"))
+ SFO <- list(diffs = SFO.diffs, parms = SFO.parms, map = SFO.map,
+ coefmat = SFO.coefmat)
class(SFO) <- "mkinmod"
SFO.1 <- mkinmod(
parent = list(type = "SFO", to = NULL, sink = TRUE)
@@ -39,7 +61,13 @@ test.mkinmod.SFORB <- function() )
SFORB.parms <- c("k_parent_free_sink", "k_parent_free_bound", "k_parent_bound_free")
SFORB.map <- list(parent = c(SFORB = "parent_free", SFORB = "parent_bound"))
- SFORB <- list(diffs = SFORB.diffs, parms = SFORB.parms, map = SFORB.map)
+ vars <- paste("parent", c("free", "bound"), sep="_")
+ SFORB.coefmat <- matrix(
+ c("- k_parent_free_sink - k_parent_free_bound", "k_parent_bound_free",
+ "k_parent_free_bound", "- k_parent_bound_free"), nrow=2, byrow=TRUE,
+ dimnames=list(vars, vars))
+ SFORB <- list(diffs = SFORB.diffs, parms = SFORB.parms,
+ map = SFORB.map, coefmat = SFORB.coefmat)
class(SFORB) <- "mkinmod"
SFORB.mkinmod <- mkinmod(
parent = list(type = "SFORB", to = NULL, sink=TRUE)
@@ -55,7 +83,12 @@ test.mkinmod.SFO_SFO <- function() )
SFO_SFO.parms <- c("k_parent_sink", "k_m1_sink", "k_parent_m1")
SFO_SFO.map <- list(parent = c(SFO = "parent"), m1 = c(SFO = "m1"))
- SFO_SFO <- list(diffs = SFO_SFO.diffs, parms = SFO_SFO.parms, map = SFO_SFO.map)
+ vars <- c("parent", "m1")
+ SFO_SFO.coefmat <- matrix(c("- k_parent_sink - k_parent_m1",
+ "0", "k_parent_m1", "- k_m1_sink"), nrow=2, byrow=TRUE,
+ dimnames=list(vars, vars))
+ SFO_SFO <- list(diffs = SFO_SFO.diffs, parms = SFO_SFO.parms,
+ map = SFO_SFO.map, coefmat = SFO_SFO.coefmat)
class(SFO_SFO) <- "mkinmod"
SFO_SFO.mkinmod <- mkinmod(
parent = list(type = "SFO", to = "m1", sink=TRUE),
@@ -73,7 +106,14 @@ test.mkinmod.SFO_SFO2 <- function() )
SFO_SFO2.parms <- c("k_parent_sink", "k_m1_sink", "k_m2_sink", "k_parent_m1", "k_parent_m2")
SFO_SFO2.map <- list(parent = c(SFO = "parent"), m1 = c(SFO = "m1"), m2 = c(SFO = "m2"))
- SFO_SFO2 <- list(diffs = SFO_SFO2.diffs, parms = SFO_SFO2.parms, map = SFO_SFO2.map)
+ vars <- c("parent", "m1", "m2")
+ SFO_SFO2.coefmat <- matrix(
+ c("- k_parent_sink - k_parent_m1 - k_parent_m2", "0", "0",
+ "k_parent_m1", "- k_m1_sink", "0",
+ "k_parent_m2", "0", "- k_m2_sink"), nrow=3, byrow=TRUE,
+ dimnames=list(vars, vars))
+ SFO_SFO2 <- list(diffs = SFO_SFO2.diffs, parms = SFO_SFO2.parms,
+ map = SFO_SFO2.map, coefmat = SFO_SFO2.coefmat)
class(SFO_SFO2) <- "mkinmod"
SFO_SFO2.mkinmod <- mkinmod(
parent = list(type = "SFO", to = c("m1", "m2"), sink=TRUE),
@@ -90,9 +130,16 @@ test.mkinmod.FOMC_SFO2 <- function() m1 = "d_m1 = - k_m1_sink * m1 + f_to_m1 * (alpha/beta) * ((time/beta) + 1)^-1 * parent",
m2 = "d_m2 = - k_m2_sink * m2 + (1 - f_to_m1) * f_to_m2 * (alpha/beta) * ((time/beta) + 1)^-1 * parent"
)
- FOMC_SFO2.parms <- c("alpha", "beta", "k_m1_sink", "k_m2_sink", "f_to_m1", "f_to_m2")
- FOMC_SFO2.map <- list(parent = c(FOMC = "parent"), m1 = c(SFO = "m1"), m2 = c(SFO = "m2"))
- FOMC_SFO2 <- list(diffs = FOMC_SFO2.diffs, parms = FOMC_SFO2.parms, map = FOMC_SFO2.map)
+ FOMC_SFO2.parms <- c("alpha", "beta", "k_m1_sink", "k_m2_sink",
+ "f_to_m1", "f_to_m2")
+ FOMC_SFO2.map <- list(parent = c(FOMC = "parent"),
+ m1 = c(SFO = "m1"),
+ m2 = c(SFO = "m2"))
+ FOMC_SFO2.ff <- c(
+ m1 = "f_to_m1",
+ m2 = "(1 - f_to_m1) * f_to_m2")
+ FOMC_SFO2 <- list(diffs = FOMC_SFO2.diffs, parms = FOMC_SFO2.parms,
+ map = FOMC_SFO2.map, ff = FOMC_SFO2.ff)
class(FOMC_SFO2) <- "mkinmod"
FOMC_SFO2.mkinmod <- mkinmod(
parent = list(type = "FOMC", to = c("m1", "m2"), sink=TRUE),
diff --git a/man/DFOP.solution.Rd b/man/DFOP.solution.Rd new file mode 100644 index 0000000..d30cf7f --- /dev/null +++ b/man/DFOP.solution.Rd @@ -0,0 +1,36 @@ +\name{DFOP.solution}
+\Rdversion{1.1}
+\alias{DFOP.solution}
+\title{
+Dual First-Order in Parallel kinetics
+}
+\description{
+ Function describing decline from a defined starting value using the sum
+ of two exponential decline functions.
+}
+\usage{
+DFOP.solution(t, parent.0, k1, k2, g)
+}
+\arguments{
+ \item{t}{ Time. }
+ \item{parent.0}{ Starting value for the response variable at time zero. }
+ \item{k1}{ First kinetic constant. }
+ \item{k2}{ Second kinetic constant. }
+ \item{g}{ Fraction of the starting value declining according to the
+ first kinetic constant.
+ }
+}
+\value{
+ The value of the response variable at time \code{t}.
+}
+\references{
+ FOCUS (2006) \dQuote{Guidance Document on Estimating Persistence and
+ Degradation Kinetics from Environmental Fate Studies on Pesticides in EU
+ Registration} Report of the FOCUS Work Group on Degradation Kinetics,
+ EC Document Reference Sanco/10058/2005 version 2.0, 434 pp,
+ \url{http://focus.jrc.ec.europa.eu/dk}
+}
+\examples{
+ \dontrun{plot(function(x) DFOP.solution(x, 100, 5, 0.5, 0.3), 0, 4, ylim=c(0,100))}
+}
+\keyword{ manip }
diff --git a/man/FOCUS_2006_datasets.Rd b/man/FOCUS_2006_datasets.Rd index 04565f7..5053b88 100644 --- a/man/FOCUS_2006_datasets.Rd +++ b/man/FOCUS_2006_datasets.Rd @@ -11,7 +11,7 @@ Datasets A to F from the FOCUS Kinetics report from 2006
}
\description{
-Data taken from an FOCUS (2006), p. 258.
+Data taken from FOCUS (2006), p. 258.
}
\usage{FOCUS_2006_datasets}
\format{
diff --git a/man/FOMC.solution.Rd b/man/FOMC.solution.Rd new file mode 100644 index 0000000..d04d34e --- /dev/null +++ b/man/FOMC.solution.Rd @@ -0,0 +1,49 @@ +\name{FOMC.solution}
+\Rdversion{1.1}
+\alias{FOMC.solution}
+\title{ First-Order Multi-Compartment kinetics }
+\description{
+ Function describing exponential decline from a defined starting value, with
+ a decreasing rate constant.
+
+ The form given here differs slightly from the original reference by Gustafson
+ and Holden (1990). The parameter \code{beta} corresponds to 1/beta in the
+ original equation.
+}
+\usage{
+FOMC.solution(t, parent.0, alpha, beta)
+}
+\arguments{
+ \item{t}{ Time. }
+ \item{parent.0}{ Starting value for the response variable at time zero. }
+ \item{alpha}{
+ Shape parameter determined by coefficient of variation of rate constant
+ values. }
+ \item{beta}{
+ Location parameter.
+}
+}
+\note{
+ The solution of the FOMC kinetic model reduces to the
+ \code{\link{SFO.solution}} for large values of \code{alpha} and
+ \code{beta} with
+ \eqn{k = \frac{\beta}{\alpha}}{k = beta/alpha}.
+}
+\value{
+ The value of the response variable at time \code{t}.
+}
+\references{
+ FOCUS (2006) \dQuote{Guidance Document on Estimating Persistence and
+ Degradation Kinetics from Environmental Fate Studies on Pesticides in EU
+ Registration} Report of the FOCUS Work Group on Degradation Kinetics,
+ EC Document Reference Sanco/10058/2005 version 2.0, 434 pp,
+ \url{http://focus.jrc.ec.europa.eu/dk}
+
+ Gustafson DI and Holden LR (1990) Nonlinear pesticide dissipation in soil: A
+ new model based on spatial variability. \emph{Environmental Science and
+ Technology} \bold{24}, 1032-1038
+}
+\examples{
+ \dontrun{plot(function(x) FOMC.solution(x, 100, 10, 2), 0, 2)}
+}
+\keyword{ manip }
diff --git a/man/HS.solution.Rd b/man/HS.solution.Rd new file mode 100644 index 0000000..71f68a1 --- /dev/null +++ b/man/HS.solution.Rd @@ -0,0 +1,34 @@ +\name{HS.solution}
+\Rdversion{1.1}
+\alias{HS.solution}
+\title{ Hockey-Stick kinetics }
+\description{
+ Function describing two exponential decline functions with a break point
+ between them.
+}
+\usage{
+HS.solution(t, parent.0, k1, k2, tb)
+}
+\arguments{
+ \item{t}{ Time. }
+ \item{parent.0}{ Starting value for the response variable at time zero. }
+ \item{k1}{ First kinetic constant. }
+ \item{k2}{ Second kinetic constant. }
+ \item{tb}{ Break point. Before this time, exponential decline according
+ to \code{k1} is calculated, after this time, exponential decline proceeds
+ according to \code{k2}. }
+}
+\value{
+ The value of the response variable at time \code{t}.
+}
+\references{
+ FOCUS (2006) \dQuote{Guidance Document on Estimating Persistence and
+ Degradation Kinetics from Environmental Fate Studies on Pesticides in EU
+ Registration} Report of the FOCUS Work Group on Degradation Kinetics,
+ EC Document Reference Sanco/10058/2005 version 2.0, 434 pp,
+ \url{http://focus.jrc.ec.europa.eu/dk}
+}
+\examples{
+ \dontrun{plot(function(x) HS.solution(x, 100, 2, 0.3, 0.5), 0, 2, ylim=c(0,100))}
+}
+\keyword{ manip }
diff --git a/man/SFO.solution.Rd b/man/SFO.solution.Rd new file mode 100644 index 0000000..41a9ba9 --- /dev/null +++ b/man/SFO.solution.Rd @@ -0,0 +1,29 @@ +\name{SFO.solution}
+\Rdversion{1.1}
+\alias{SFO.solution}
+\title{ Single First-Order kinetics }
+\description{
+ Function describing exponential decline from a defined starting value.
+}
+\usage{
+ SFO.solution(t, parent.0, k)
+}
+\arguments{
+ \item{t}{ Time. }
+ \item{parent.0}{ Starting value for the response variable at time zero. }
+ \item{k}{ Kinetic constant. }
+}
+\value{
+ The value of the response variable at time \code{t}.
+}
+\references{
+ FOCUS (2006) \dQuote{Guidance Document on Estimating Persistence and
+ Degradation Kinetics from Environmental Fate Studies on Pesticides in EU
+ Registration} Report of the FOCUS Work Group on Degradation Kinetics,
+ EC Document Reference Sanco/10058/2005 version 2.0, 434 pp,
+ \url{http://focus.jrc.ec.europa.eu/dk}
+}
+\examples{
+ \dontrun{plot(function(x) SFO.solution(x, 100, 3), 0, 2)}
+}
+\keyword{ manip }
diff --git a/man/SFORB.solution.Rd b/man/SFORB.solution.Rd new file mode 100644 index 0000000..a935f69 --- /dev/null +++ b/man/SFORB.solution.Rd @@ -0,0 +1,36 @@ +\name{SFORB.solution}
+\Rdversion{1.1}
+\alias{SFORB.solution}
+\title{ Single First-Order Reversible Binding kinetics }
+\description{
+ Function describing the solution of the differential equations describing
+ the kinetic model with first-order terms for a two-way transfer from a free
+ to a bound fraction, and a first-order degradation term for the free
+ fraction. The initial condition is a defined amount in the free fraction and
+ no substance in the bound fraction.
+}
+\usage{
+ SFORB.solution(t, parent.0, k_12, k_21, k_1output)
+}
+\arguments{
+ \item{t}{ Time. }
+ \item{parent.0}{ Starting value for the response variable at time zero. }
+ \item{k_12}{ Kinetic constant describing transfer from free to bound. }
+ \item{k_21}{ Kinetic constant describing transfer from bound to free. }
+ \item{k_1output}{ Kinetic constant describing degradation of the free fraction. }
+}
+\value{
+ The value of the response variable, which is the sum of free and bound
+ fractions at time \code{t}.
+}
+\references{
+ FOCUS (2006) \dQuote{Guidance Document on Estimating Persistence and
+ Degradation Kinetics from Environmental Fate Studies on Pesticides in EU
+ Registration} Report of the FOCUS Work Group on Degradation Kinetics,
+ EC Document Reference Sanco/10058/2005 version 2.0, 434 pp,
+ \url{http://focus.jrc.ec.europa.eu/dk}
+}
+\examples{
+ \dontrun{plot(function(x) SFORB.solution(x, 100, 0.5, 2, 3), 0, 2)}
+}
+\keyword{ manip }
diff --git a/man/mkin_long_to_wide.Rd b/man/mkin_long_to_wide.Rd index 97791e6..6fa1860 100644 --- a/man/mkin_long_to_wide.Rd +++ b/man/mkin_long_to_wide.Rd @@ -4,7 +4,7 @@ Convert a dataframe from long to wide format. } \usage{ -mkin_long_to_wide(long_data, time = "time") +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}} @@ -17,7 +17,10 @@ mkin_long_to_wide(long_data, time = "time") \code{time} argument and one column of observed values named "value". } \item{time}{ - The name of the time variable. + The name of the time variable in the long input data. +} + \item{outtime}{ + The name of the time variable in the wide output data. } } \value{ diff --git a/man/mkinerrmin.Rd b/man/mkinerrmin.Rd index 4bbf96a..654115b 100644 --- a/man/mkinerrmin.Rd +++ b/man/mkinerrmin.Rd @@ -42,5 +42,4 @@ mkinerrmin(errdata, n.parms, alpha = 0.05) EC Document Reference Sanco/10058/2005 version 2.0, 434 pp,
\url{http://focus.jrc.ec.europa.eu/dk}
}
-\author{ Johannes Ranke }
\keyword{ manip }
diff --git a/man/mkinfit.Rd b/man/mkinfit.Rd index 0ec2d21..d4139eb 100644 --- a/man/mkinfit.Rd +++ b/man/mkinfit.Rd @@ -15,7 +15,10 @@ mkinfit(mkinmod, observed, state.ini = c(100, rep(0, length(mkinmod$diffs) - 1)), lower = 0, upper = Inf, fixed_parms = NULL, fixed_initials = names(mkinmod$diffs)[-1], - plot = FALSE, quiet = FALSE, err = NULL, weight = "none", scaleVar = FALSE, ...) + eigen = FALSE, + plot = FALSE, quiet = FALSE, err = NULL, weight = "none", + scaleVar = FALSE, + atol = 1e-6, ...) } \arguments{ \item{mkinmod}{ @@ -32,8 +35,11 @@ mkinfit(mkinmod, observed, \code{\link{modFit}}. } \item{parms.ini}{ - A named vector if initial values for the parameters, including both parameters to + A named vector if initial values for the parameters, including parameters to be optimised and potentially also fixed parameters as indicated by \code{fixed_parms}. + The default is to set the initial values to 0.1. The setting of the initial values for + the parameters has a strong impart on performance and it lies in the responsibilty of the + user to set sensible initial values. } \item{state.ini}{ A named vector of initial values for the state variables of the model. In case the @@ -47,9 +53,10 @@ mkinfit(mkinmod, observed, negative values to not make sense for the models currently created by \code{\link{mkinmod}}. } \item{upper}{ - Upper bounds for the parameters, passed to \code{\link{modFit}}. Defaults to \code{Inf}. Setting - non-infinite upper bounds has a strong impact on performance, and using a method like "L-BFGS-B" (by - specifying an additional \code{method} argument) is recommended. + Upper bounds for the parameters, passed to \code{\link{modFit}}. Defaults to \code{Inf} + except for formation fraction parameters. Setting non-infinite upper bounds has a strong + impact on performance, and using a method like "L-BFGS-B" (by specifying an additional + \code{method} argument) is recommended. } \item{fixed_parms}{ The names of parameters that should not be optimised but rather kept at the values @@ -59,6 +66,12 @@ mkinfit(mkinmod, observed, The names of model variables for which the initial state at time 0 should be excluded from the optimisation. Defaults to all state variables except for the first one. } + \item{eigen}{ + Should the solution of the system of differential equations be based on the + spectral decomposition of the coefficient matrix in cases that this is + possible? Be aware that the results may differ from the results returned using + the ode solver. + } \item{plot}{ Should the observed values and the numerical solutions be plotted at each stage of the optimisation? @@ -77,13 +90,17 @@ mkinfit(mkinmod, observed, Will be passed to \code{\link{modCost}}. Default is not to scale Variables according to the number of observations. } + \item{atol}{ + Absolute error tolerance, passed to \code{\link{ode}}. Default is 1e-6 as in + \code{\link{lsoda}}. + } \item{\dots}{ Further arguments that will be passed to \code{\link{modFit}}. } } \value{ - A list with "mkinfit" and "modFit" in the class attribute. Thus, at - present, a summary can be obtained by \code{\link{summary.modFit}}. + A list with "mkinfit" and "modFit" in the class attribute. + A summary can be obtained by \code{\link{summary.mkinfit}}. } \author{ Johannes Ranke <jranke@{harlan.com,uni-bremen.de}> diff --git a/man/mkinmod.Rd b/man/mkinmod.Rd index 7ec9627..7c11735 100644 --- a/man/mkinmod.Rd +++ b/man/mkinmod.Rd @@ -15,13 +15,16 @@ mkinmod(...) \item{...}{
For each observed variable, a list has to be specified as an argument, containing
at least a component \code{type}, specifying the type of kinetics to use
- for the variable. Currently, only single first order kinetics "SFO" or
- single first order with reversible binding "SFORB" are implemented, as well as
- "FOMC" for the first compartment which is assumed to be the source compartment.
- Optional components of each argument are \code{to}, a vector of names of
- variables to which a transfer is to be assumed in the model, and
- \code{sink}, a logical specifying if transformation to unspecified
- compounds (sink) is to be assumed in the model (defaults to \code{TRUE})
+ for the variable. Currently, single first order kinetics "SFO" or
+ single first order with reversible binding "SFORB" are implemented for all
+ variables, while
+ "FOMC", "DFOP" and "HS" can additionally be chosen for the first
+ variable which is assumed to be the source compartment. Optional components
+ of each argument are \code{to}, a
+ vector of names of variables to which a transfer is to be assumed in the
+ model, and \code{sink}, a logical specifying if transformation to
+ unspecified compounds (sink) is to be assumed in the model (defaults to
+ \code{TRUE})
}
}
\value{
@@ -31,6 +34,7 @@ mkinmod(...) \item{parms}{ A vector of parameter names occurring in the differential equations. }
\item{map}{ A list containing named character vectors for each observed variable, specifying
the modelling variables by which it is represented. }
+ \item{coefmat}{ The coefficient matrix, if the system of differential equations can be represented by one. }
}
\author{
Johannes Ranke <jranke@{harlan.com,uni-bremen.de}>
diff --git a/man/mkinplot.Rd b/man/mkinplot.Rd index 58959d7..b72675a 100644 --- a/man/mkinplot.Rd +++ b/man/mkinplot.Rd @@ -10,7 +10,8 @@ } \usage{ mkinplot(fit, xlab = "Time", ylab = "Observed", - xlim = range(fit$data$time), ylim = range(fit$data$observed, na.rm=TRUE), ...) + xlim = range(fit$data$time), ylim = range(fit$data$observed, na.rm=TRUE), + legend = TRUE, ...) } \arguments{ \item{fit}{ @@ -28,6 +29,9 @@ \item{ylim}{ plot range in y direction. } + \item{legend}{ + legend specifying if a legend should be included in the plot. + } \item{\dots}{ further arguments passed to \code{\link{plot}}. } diff --git a/man/mkinresplot.Rd b/man/mkinresplot.Rd new file mode 100644 index 0000000..0b48692 --- /dev/null +++ b/man/mkinresplot.Rd @@ -0,0 +1,64 @@ +\name{mkinresplot}
+\alias{mkinresplot}
+\title{
+ Function to plot residuals stored in an mkin object
+}
+\description{
+ This function plots the residuals for the specified subset of the
+ observed variables from an mkinfit object.
+}
+\usage{
+ mkinresplot(object, obs_vars = vector(),
+ xlab = "Time [days]", ylab = "Residual [\% of applied radioactivity]",
+ maxabs = "auto", legend = TRUE, lpos = "topright", ...)
+}
+\arguments{
+ \item{object}{
+ A fit represented in an \code{\link{mkinfit}} object.
+}
+ \item{obs_vars}{
+ A character vector of names of the observed variables for which residuals
+ should be plotted.
+}
+ \item{xlab}{
+ Label for the x axis. Defaults to "Time [days]".
+}
+ \item{ylab}{
+ Label for the y axis. Defaults to "Residual [\% of applied radioactivity]".
+}
+ \item{maxabs}{
+ Maximum absolute value of the residuals. This is used for the scaling of
+ the y axis and defaults to "auto".
+}
+ \item{legend}{
+ Should a legend be plotted? Defaults to "TRUE".
+}
+ \item{lpos}{
+ Where should the legend be placed? Default is "topright". Will be passed on to
+ \code{\link{legend}}. }
+ \item{\dots}{
+ further arguments passed to \code{\link{plot}}.
+}
+}
+\value{
+ Nothing is returned by this function, as it is called for its side effect, namely to produce a plot.
+}
+\author{
+ Katrin Lindenberger and Johannes Ranke
+}
+
+\seealso{
+ \code{\link{mkinplot}}, for a way to plot the data and the fitted lines of the
+ mkinfit object. }
+\examples{
+data <- mkin_wide_to_long(schaefer07_complex_case, time = "time")
+model <- mkinmod(
+ parent = list(type = "SFO", to = c("A1", "B1", "C1"), sink = FALSE),
+ A1 = list(type = "SFO", to = "A2"),
+ B1 = list(type = "SFO"),
+ C1 = list(type = "SFO"),
+ A2 = list(type = "SFO"))
+\dontrun{fit <- mkinfit(model, data, plot=TRUE)}
+\dontrun{mkinresplot(fit, "A1")}
+}
+\keyword{ hplot }
diff --git a/man/mkinstart.Rd b/man/mkinstart.Rd new file mode 100644 index 0000000..ec1204f --- /dev/null +++ b/man/mkinstart.Rd @@ -0,0 +1,38 @@ +\name{mkinstart}
+\alias{mkinstart}
+\title{
+ Generate starting parameters for optimisations
+}
+\description{
+ This function is supposed to analyse a kinetic model and kinetic data in
+ order to generate suitable starting parameters for fitting the model.
+ It does not do anything really useful at the moment.
+}
+\usage{
+mkinstart(model, data, mode = "auto")
+}
+\arguments{
+ \item{model}{
+ A kinetic model of class \code{\link{mkinmod}}.
+}
+ \item{data}{
+ Kinetic data in wide format suitable for fitting with \code{\link{mkinfit}}.
+}
+ \item{mode}{
+ How the starting parameters should be generated. At the moment, only
+ "auto" is supported, which internally uses \code{\link{kinfit}}.
+}
+}
+\details{
+%% ~~ If necessary, more details than the description above ~~
+}
+\value{
+ A named vector of starting parameters.
+}
+\author{
+ Johannes Ranke
+}
+\examples{
+
+}
+\keyword{ manip }
diff --git a/man/summary.mkinfit.Rd b/man/summary.mkinfit.Rd index 1c30589..8a8c6ab 100644 --- a/man/summary.mkinfit.Rd +++ b/man/summary.mkinfit.Rd @@ -11,8 +11,8 @@ and residual values.
}
\usage{
-\method{summary}{mkinfit}(object, data = TRUE, distimes = TRUE, cov = FALSE, ...)
-\method{print}{summary.mkinfit}(x, digits = max(3, getOption("digits") - 3), ...)
+\method{summary}{mkinfit}(object, data = TRUE, distimes = TRUE, ff = TRUE, cov = FALSE, ...)
+\method{print}{summary.mkinfit}(x, digits = max(3, getOption("digits") - 3), tval = TRUE, ...)
}
\arguments{
@@ -26,7 +26,10 @@ logical, indicating whether the data should be included in the summary.
}
\item{distimes}{
- logical, indicating whether DT50 and DT90 values shoule be included.
+ logical, indicating whether DT50 and DT90 values should be included.
+}
+ \item{ff}{
+ logical, indicating whether formation fractions should be included.
}
\item{cov}{
logical, indicating whether parameter covariances should be calculated.
@@ -34,6 +37,10 @@ Passed to \code{\link{summary.modFit}}. } \item{digits}{
Number of digits to use for printing
}
+ \item{tval}{
+ Should the test statistic of the t-test for parameter significance be
+ printed? Defaults to \code{TRUE}. Saves vertical space if set to \code{FALSE}.
+}
\item{\dots}{
optional arguments passed to methods like \code{print}.
}
@@ -47,6 +54,7 @@ Passed to \code{\link{summary.modFit}}. } \item{fixed }{The values of fixed parameters.}
\item{errmin }{The chi2 error levels for each observed variable.}
\item{disstimes }{The DT50 and DT90 values for each observed variable.}
+ \item{ff }{The estimated formation fractions derived from the fitted model.}
The print method is called for its side effect, i.e. printing the summary.
}
\references{
@@ -57,7 +65,7 @@ Passed to \code{\link{summary.modFit}}. } \url{http://focus.jrc.ec.europa.eu/dk}
}
\author{
- Johannes Ranke <jranke@harlan.com>
+ Johannes Ranke <jranke@{harlan.com,uni-bremen.de}>
}
\examples{
summary(mkinfit(mkinmod(parent = list(type = "SFO")), FOCUS_2006_A))
diff --git a/tests/doRUnit.R b/tests/doRUnit.R index e2ad4cd..ed3ef1d 100644 --- a/tests/doRUnit.R +++ b/tests/doRUnit.R @@ -1,17 +1,10 @@ +# $Id: doRUnit.R 96 2011-04-29 11:10:40Z jranke $ +# Adapted from a version around 2.9 of the rcdk package by Rajarshi Guha if(require("RUnit", quietly=TRUE)) { - ## --- Setup --- - - pkg <- "mkin" # <-- Change to package name! - if(Sys.getenv("RCMDCHECK") == "FALSE") { - ## Path to unit tests for standalone running under Makefile (not R CMD check) - ## PKG/tests/../inst/unitTests - path <- file.path(getwd(), "..", "inst", "unitTests") - } else { - ## Path to unit tests for R CMD check - ## PKG.Rcheck/tests/../PKG/unitTests - path <- system.file(package=pkg, "unitTests") - } + pkg <- "mkin" + path <- system.file(package=pkg, "unitTests") + cat("\nRunning unit tests\n") print(list(pkg=pkg, getwd=getwd(), pathToUnitTests=path)) |