From aed80b602afbe8c22ba601bf236dda22bc39187c Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Mon, 21 Oct 2019 22:46:33 +0200 Subject: Static documentation rebuilt by pkgdown --- docs/reference/synthetic_data_for_UBA_2014.html | 28 +++++++++++-------------- 1 file changed, 12 insertions(+), 16 deletions(-) (limited to 'docs/reference/synthetic_data_for_UBA_2014.html') diff --git a/docs/reference/synthetic_data_for_UBA_2014.html b/docs/reference/synthetic_data_for_UBA_2014.html index ddc88c21..f23b77b0 100644 --- a/docs/reference/synthetic_data_for_UBA_2014.html +++ b/docs/reference/synthetic_data_for_UBA_2014.html @@ -8,11 +8,13 @@ Synthetic datasets for one parent compound with two metabolites — synthetic_data_for_UBA_2014 • mkin + + @@ -32,8 +34,8 @@ - + + @@ -124,7 +127,6 @@ Compare also the code in the example section to see the degradation models." /> News - @@ -146,7 +148,6 @@ Compare also the code in the example section to see the degradation models." />
-

The 12 datasets were generated using four different models and three different variance components. The four models are either the SFO or the DFOP model with either two sequential or two parallel metabolites.

@@ -163,11 +164,11 @@ Compare also the code in the example section to see the degradation models." />

As an example, the first dataset has the title SFO_lin_a and is based on the SFO model with two sequential metabolites (linear pathway), with added variance component 'a'.

Compare also the code in the example section to see the degradation models.

- 
synthetic_data_for_UBA_2014
- + +

Format

A list containing twelve datasets as an R6 class defined by mkinds, @@ -177,17 +178,16 @@ Compare also the code in the example section to see the degradation models." /> -

Source

Ranke (2014) Prüfung und Validierung von Modellierungssoftware als Alternative zu ModelMaker 4.0, Umweltbundesamt Projektnummer 27452

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

-

Examples

- 
# The data have been generated using the following kinetic models
+    
# \dontrun{
+# The data have been generated using the following kinetic models
 m_synth_SFO_lin <- mkinmod(parent = list(type = "SFO", to = "M1"),
                            M1 = list(type = "SFO", to = "M2"),
                            M2 = list(type = "SFO"), use_of_ff = "max")
#> Successfully compiled differential equation model from auto-generated C code.

@@ -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 %in% c("M1", "M2"), "value"] <- 0
+#   d_rep[d_rep$time == 0 & d_rep$name 
 #   d_NA <- transform(d_rep, value = ifelse(value < LOD, NA, value))
 #   d_NA$value <- round(d_NA$value, 1)
 #   return(d_NA)
@@ -278,13 +278,12 @@ Compare also the code in the example section to see the degradation models." />
 
 # This is just one example of an evaluation using the kinetic model used for
 # the generation of the data
-# \dontrun{
   fit <- mkinfit(m_synth_SFO_lin, synthetic_data_for_UBA_2014[[1]]$data,
                  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 18:52:20 2019 
-#> Date of summary: Mon Oct 21 18:52:20 2019 
+#> Date of fit:     Mon Oct 21 22:46:31 2019 
+#> Date of summary: Mon Oct 21 22:46:31 2019 
 #> 
 #> Equations:
 #> d_parent/dt = - k_parent * parent
@@ -293,7 +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 2.42 s
+#> Fitted using 847 model solutions performed in 2.45 s
 #> 
 #> Error model: Constant variance 
 #> 
@@ -429,11 +428,8 @@ Compare also the code in the example section to see the degradation models." />