Reorganise data generation

- Use inst/data_generation for R code generating data as in some of my other packages
- data/*.RData files were checked using https://github.com/jranke/dotfiles/blob/main/bin/rda_diff
  contents were not changed
- Remove ChangeLog, the history is in the git logs
- Update docs and some links contained therein
- use \doi{} markup
- Move logs to log directory

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"