Experimental datasets used for development and testing of error models

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.

experimental_data_for_UBA_2019

Format

A list containing twelve datasets as an R6 class defined by mkinds, each containing, among others, the following components

title

The name of the dataset, e.g. Soil 1

data

A data frame with the data in the form expected by mkinfit

Source

Ranke (2019) Documentation of results obtained for the error model expertise written for the German Umweltbundesamt.

Examples

# Model definitions
sfo_sfo <- mkinmod(
  parent = mkinsub("SFO", to = "A1"),
  A1 = mkinsub("SFO"),
  use_of_ff = "max"
)
#> Successfully compiled differential equation model from auto-generated C code.

dfop_sfo <- mkinmod(
  parent = mkinsub("DFOP", to = "A1"),
  A1 = mkinsub("SFO"),
  use_of_ff = "max"
)
#> Successfully compiled differential equation model from auto-generated C code.

sfo_sfo_sfo <- mkinmod(
  parent = mkinsub("SFO", to = "A1"),
  A1 = mkinsub("SFO", to = "A2"),
  A2 = mkinsub("SFO"),
  use_of_ff = "max"
)
#> Successfully compiled differential equation model from auto-generated C code.

dfop_sfo_sfo <- mkinmod(
  parent = mkinsub("DFOP", to = "A1"),
  A1 = mkinsub("SFO", to = "A2"),
  A2 = mkinsub("SFO"),
  use_of_ff = "max"
)
#> Successfully compiled differential equation model from auto-generated C code.
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")