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authorJohannes Ranke <jranke@uni-bremen.de>2015-12-22 19:32:54 +0100
committerJohannes Ranke <jranke@uni-bremen.de>2015-12-22 19:32:54 +0100
commit3a579d87820ccbec514f1be5eb090e874fd87eec (patch)
treefdc726d4938dc98fc741a38435372da22dc9e956 /pkg/R/soil_scenario_data_EFSA_2015.R
parent9851a97ec915ddbfc8357f1a7e2cabae56c89f7d (diff)
EFSA 2015 tier 1 PEC soil, clean up, add static docs
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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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