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diff --git a/data/experimental_data_for_UBA_2019.rda b/data/experimental_data_for_UBA_2019.rda Binary files differnew file mode 100644 index 00000000..46b5de20 --- /dev/null +++ b/data/experimental_data_for_UBA_2019.rda diff --git a/man/experimental_data_for_UBA.Rd b/man/experimental_data_for_UBA.Rd new file mode 100644 index 00000000..797444d8 --- /dev/null +++ b/man/experimental_data_for_UBA.Rd @@ -0,0 +1,65 @@ +\name{experimental_data_for_UBA_2019} +\alias{experimental_data_for_UBA_2019} +\docType{data} +\title{ + Experimental datasets used for development and testing of error models +} +\description{ + The 12 datasets were extracted from active substance evaluation dossiers published + by EFSA. Kinetic evaluations shown for these datasets are intended to illustrate + and advance error model specifications. The fact that these data and some + results are shown here do not imply a license to use them in the context of + pesticide registrations, as the use of the data may be constrained by + data protection regulations. +} +\usage{experimental_data_for_UBA_2019} +\format{ + A list containing twelve datasets as an R6 class defined by \code{\link{mkinds}}, + each containing, among others, the following components + \describe{ + \item{\code{title}}{The name of the dataset, e.g. \code{Soil 1}} + \item{\code{data}}{A data frame with the data in the form expected by \code{\link{mkinfit}}} + } +} +\source{ + Ranke (2019) Documentation of results obtained for the error model expertise + written for the German Umweltbundesamt. +} +\examples{\dontrun{ + +# Model definitions +sfo_sfo <- mkinmod( + parent = mkinsub("SFO", to = "A1"), + A1 = mkinsub("SFO"), + use_of_ff = "max" +) + +dfop_sfo <- mkinmod( + parent = mkinsub("DFOP", to = "A1"), + A1 = mkinsub("SFO"), + use_of_ff = "max" +) + +sfo_sfo_sfo <- mkinmod( + parent = mkinsub("SFO", to = "A1"), + A1 = mkinsub("SFO", to = "A2"), + A2 = mkinsub("SFO"), + use_of_ff = "max" +) + +dfop_sfo_sfo <- mkinmod( + parent = mkinsub("DFOP", to = "A1"), + A1 = mkinsub("SFO", to = "A2"), + A2 = mkinsub("SFO"), + use_of_ff = "max" +) +d_1_2 <- lapply(experimental_data_for_UBA_2019[1:2], function(x) x$data) +names(d_1_2) <- paste("Soil", 1:2) + + +f_1_2_tc <- mmkin(list("DFOP-SFO-SFO" = dfop_sfo_sfo), d_1_2, error_model = "tc") + +plot(f_1_2_tc, resplot = "errmod") + +}} +\keyword{datasets} |