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\name{test_data_from_UBA_2014}
\alias{test_data_from_UBA_2014}
\docType{data}
\title{
Three experimental datasets from two water sediment systems and one soil
}
\description{
The datasets were used for the comparative validation of several kinetic evaluation
software packages (Ranke, 2014).
}
\usage{test_data_from_UBA_2014}
\format{
A list containing three datasets as an R6 class defined by \code{\link{mkinds}}.
Each dataset has, among others, the following components
\describe{
\item{\code{title}}{The name of the dataset, e.g. \code{UBA_2014_WS_river}}
\item{\code{data}}{A data frame with the data in the form expected by \code{\link{mkinfit}}}
}
}
\source{
Ranke (2014) Prüfung und Validierung von Modellierungssoftware als Alternative
zu ModelMaker 4.0, Umweltbundesamt Projektnummer 27452
}
\examples{
\dontrun{
# This is a level P-II evaluation of the dataset according to the FOCUS kinetics
# guidance. Due to the strong correlation of the parameter estimates, the
# covariance matrix is not returned. Note that level P-II evaluations are
# generally considered deprecated due to the frequent occurrence of such
# large parameter correlations, among other reasons (e.g. the adequacy of the
# model).
m_ws <- mkinmod(parent_w = mkinsub("SFO", "parent_s"),
parent_s = mkinsub("SFO", "parent_w"))
f_river <- mkinfit(m_ws, test_data_from_UBA_2014[[1]]$data, quiet = TRUE)
plot_sep(f_river)
summary(f_river)$bpar
mkinerrmin(f_river)
# This is the evaluation used for the validation of software packages
# in the expertise from 2014
m_soil <- mkinmod(parent = mkinsub("SFO", c("M1", "M2")),
M1 = mkinsub("SFO", "M3"),
M2 = mkinsub("SFO", "M3"),
M3 = mkinsub("SFO"),
use_of_ff = "max")
f_soil <- mkinfit(m_soil, test_data_from_UBA_2014[[3]]$data, quiet = TRUE)
plot_sep(f_soil, lpos = c("topright", "topright", "topright", "bottomright"))
summary(f_soil)$bpar
mkinerrmin(f_soil)
}
}
\keyword{datasets}
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