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, 4 insertions, 21 deletions

diff --git a/man/soil_scenario_data_EFSA_2015.Rd b/man/soil_scenario_data_EFSA_2015.Rd
index dfad4aa..4d625f8 100644
--- a/man/soil_scenario_data_EFSA_2015.Rd
+++ b/man/soil_scenario_data_EFSA_2015.Rd
@@ -14,7 +14,10 @@ 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
+  \doi{10.2903/j.efsa.2015.4093}
+}
+\usage{
+soil_scenario_data_EFSA_2015
 }
 \description{
 Properties of the predefined scenarios used at Tier 1, Tier 2A and Tier 3A for the 
@@ -22,26 +25,6 @@ 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}