From 12a31f4c130c551f82232d9ef7dfb608bd52c53f Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Tue, 27 Sep 2016 23:00:48 +0200 Subject: Reorganise repository using standard package layout --- pkg/R/soil_scenario_data_EFSA_2015.R | 40 ------------------------------------ 1 file changed, 40 deletions(-) delete mode 100644 pkg/R/soil_scenario_data_EFSA_2015.R (limited to 'pkg/R/soil_scenario_data_EFSA_2015.R') diff --git a/pkg/R/soil_scenario_data_EFSA_2015.R b/pkg/R/soil_scenario_data_EFSA_2015.R deleted file mode 100644 index fb096bc..0000000 --- a/pkg/R/soil_scenario_data_EFSA_2015.R +++ /dev/null @@ -1,40 +0,0 @@ -#' Properties of the predefined scenarios from the EFSA guidance from 2015 -#' -#' Properties of the predefined scenarios used at Tier 1, Tier 2A and Tier 3A for the -#' concentration in soil as given in the EFSA guidance (2015, p. 13/14). Also, the -#' scenario and model adjustment factors from p. 15 and p. 17 are included. -#' -#' @name soil_scenario_data_EFSA_2015 -#' @docType data -#' @format A data frame with one row for each scenario. Row names are the scenario codes, -#' e.g. CTN for the Northern scenario for the total concentration in soil. Columns are -#' mostly self-explanatory. \code{rho} is the dry bulk density of the top soil. -#' @source EFSA (European Food Safety Authority) (2015) -#' EFSA guidance document for predicting environmental concentrations -#' of active substances of plant protection products and transformation products of these -#' active substances in soil. \emph{EFSA Journal} \bold{13}(4) 4093 -#' doi:10.2903/j.efsa.2015.4093 -#' @keywords datasets -#' @examples -#' \dontrun{ -#' # This is the code that was used to define the data -#' soil_scenario_data_EFSA_2015 <- data.frame( -#' Zone = rep(c("North", "Central", "South"), 2), -#' Country = c("Estonia", "Germany", "France", "Denmark", "Czech Republik", "Spain"), -#' T_arit = c(4.7, 8.0, 11.0, 8.2, 9.1, 12.8), -#' T_arr = c(7.0, 10.1, 12.3, 9.8, 11.2, 14.7), -#' Texture = c("Coarse", "Coarse", "Medium fine", "Medium", "Medium", "Medium"), -#' f_om = c(0.118, 0.086, 0.048, 0.023, 0.018, 0.011), -#' theta_fc = c(0.244, 0.244, 0.385, 0.347, 0.347, 0.347), -#' rho = c(0.95, 1.05, 1.22, 1.39, 1.43, 1.51), -#' f_sce = c(3, 2, 2, 2, 1.5, 1.5), -#' f_mod = c(2, 2, 2, 4, 4, 4), -#' stringsAsFactors = FALSE, -#' row.names = c("CTN", "CTC", "CTS", "CLN", "CLC", "CLS") -#' ) -#' save(soil_scenario_data_EFSA_2015, file = '../data/soil_scenario_data_EFSA_2015.RData') -#' } -#' -#' # And this is the resulting dataframe -#' soil_scenario_data_EFSA_2015 -NULL -- cgit v1.2.1