From 3a579d87820ccbec514f1be5eb090e874fd87eec Mon Sep 17 00:00:00 2001
From: Johannes Ranke <jranke@uni-bremen.de>
Date: Tue, 22 Dec 2015 19:32:54 +0100
Subject: EFSA 2015 tier 1 PEC soil, clean up, add static docs

---
 pkg/R/soil_scenario_data_EFSA_2015.R | 40 ++++++++++++++++++++++++++++++++++++
 1 file changed, 40 insertions(+)
 create 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
new file mode 100644
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+#' 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
-- 
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