diff options
Diffstat (limited to 'R/soil_scenario_data_EFSA_2015.R')
| -rw-r--r-- | R/soil_scenario_data_EFSA_2015.R | 24 |
1 files changed, 2 insertions, 22 deletions
diff --git a/R/soil_scenario_data_EFSA_2015.R b/R/soil_scenario_data_EFSA_2015.R index 660cafe..0660d40 100644 --- a/R/soil_scenario_data_EFSA_2015.R +++ b/R/soil_scenario_data_EFSA_2015.R @@ -13,28 +13,8 @@ #' 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 +#' \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 +"soil_scenario_data_EFSA_2015" |