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/man/soil_scenario_data_EFSA_2015.Rd | 46 --------------------------------- 1 file changed, 46 deletions(-) delete mode 100644 pkg/man/soil_scenario_data_EFSA_2015.Rd (limited to 'pkg/man/soil_scenario_data_EFSA_2015.Rd') diff --git a/pkg/man/soil_scenario_data_EFSA_2015.Rd b/pkg/man/soil_scenario_data_EFSA_2015.Rd deleted file mode 100644 index b45af4a..0000000 --- a/pkg/man/soil_scenario_data_EFSA_2015.Rd +++ /dev/null @@ -1,46 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/soil_scenario_data_EFSA_2015.R -\docType{data} -\name{soil_scenario_data_EFSA_2015} -\alias{soil_scenario_data_EFSA_2015} -\title{Properties of the predefined scenarios from the EFSA guidance from 2015} -\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 -} -\description{ -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. -} -\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 -} -\keyword{datasets} - -- cgit v1.2.1