From e81b7444f869508a5000acc6f696eab7e35e5778 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Mon, 21 Oct 2019 22:49:26 +0200 Subject: Quote percent signs in Rhelp files Static documentation rebuilt by pkgdown --- docs/reference/sigma_twocomp.html | 22 ++++++++++------------ docs/reference/synthetic_data_for_UBA_2014.html | 8 ++++---- 2 files changed, 14 insertions(+), 16 deletions(-) (limited to 'docs') diff --git a/docs/reference/sigma_twocomp.html b/docs/reference/sigma_twocomp.html index ee956f9f..ef62212a 100644 --- a/docs/reference/sigma_twocomp.html +++ b/docs/reference/sigma_twocomp.html @@ -8,11 +8,13 @@ Two component error model — sigma_twocomp • mkin + + @@ -32,11 +34,12 @@ - + @@ -44,6 +47,7 @@ This is the error model used for example by Werner et al. (1978). The model + @@ -114,7 +118,6 @@ This is the error model used for example by Werner et al. (1978). The model News - @@ -136,18 +139,17 @@ This is the error model used for example by Werner et al. (1978). The model
-

Function describing the standard deviation of the measurement error in dependence of the measured value \(y\):

-

$$\sigma = \sqrt{ \sigma_{low}^2 + y^2 * {rsd}_{high}^2}$$

+

$$\sigma = \sqrt{ \sigma_{low}^2 + y^2 * {rsd}_{high}^2}$$ + sigma = sqrt(sigma_low^2 + y^2 * rsd_high^2)

This is the error model used for example by Werner et al. (1978). The model proposed by Rocke and Lorenzato (1995) can be written in this form as well, but assumes approximate lognormal distribution of errors for high values of y.

- 
sigma_twocomp(y, sigma_low, rsd_high)
- +

Arguments

@@ -165,11 +167,10 @@ This is the error model used for example by Werner et al. (1978). The model the magnitude of the observed value

- +

Value

The standard deviation of the response variable.

-

References

Werner, Mario, Brooks, Samuel H., and Knott, Lancaster B. (1978) @@ -177,18 +178,15 @@ This is the error model used for example by Werner et al. (1978). The model 24(11), 1895-1898.

Rocke, David M. and Lorenzato, Stefan (1995) A two-component model for measurement error in analytical chemistry. Technometrics 37(2), 176-184.

- diff --git a/docs/reference/synthetic_data_for_UBA_2014.html b/docs/reference/synthetic_data_for_UBA_2014.html index f23b77b0..eb5b8c65 100644 --- a/docs/reference/synthetic_data_for_UBA_2014.html +++ b/docs/reference/synthetic_data_for_UBA_2014.html @@ -249,7 +249,7 @@ Compare also the code in the example section to see the degradation models." /> # d_rep = data.frame(lapply(d_long, rep, each = 2)) # d_rep$value = rnorm(length(d_rep$value), d_rep$value, sdfunc(d_rep$value)) # -# d_rep[d_rep$time == 0 & d_rep$name +# d_rep[d_rep$time == 0 & d_rep$name %in% c("M1", "M2"), "value"] <- 0 # d_NA <- transform(d_rep, value = ifelse(value < LOD, NA, value)) # d_NA$value <- round(d_NA$value, 1) # return(d_NA) @@ -282,8 +282,8 @@ Compare also the code in the example section to see the degradation models." /> quiet = TRUE) plot_sep(fit)
summary(fit)
#> mkin version used for fitting: 0.9.49.6 #> R version used for fitting: 3.6.1 -#> Date of fit: Mon Oct 21 22:46:31 2019 -#> Date of summary: Mon Oct 21 22:46:31 2019 +#> Date of fit: Mon Oct 21 22:49:25 2019 +#> Date of summary: Mon Oct 21 22:49:25 2019 #> #> Equations: #> d_parent/dt = - k_parent * parent @@ -292,7 +292,7 @@ Compare also the code in the example section to see the degradation models." /> #> #> Model predictions using solution type deSolve #> -#> Fitted using 847 model solutions performed in 2.45 s +#> Fitted using 847 model solutions performed in 2.43 s #> #> Error model: Constant variance #> -- cgit v1.2.1