From 803fe13e505960fddccdbd4dcb524715f5eb068d Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Wed, 18 Sep 2019 18:18:40 +0200 Subject: Add url: tag to _pkgdown.yml, typo, update docs --- docs/reference/soil_scenario_data_EFSA_2015.html | 58 +++++++++++++----------- 1 file changed, 31 insertions(+), 27 deletions(-) (limited to 'docs/reference/soil_scenario_data_EFSA_2015.html') diff --git a/docs/reference/soil_scenario_data_EFSA_2015.html b/docs/reference/soil_scenario_data_EFSA_2015.html index cb2e1fa..5551d82 100644 --- a/docs/reference/soil_scenario_data_EFSA_2015.html +++ b/docs/reference/soil_scenario_data_EFSA_2015.html @@ -16,13 +16,15 @@ - + + - - + + + @@ -49,6 +51,7 @@ scenario and model adjustment factors from p. 15 and p. 17 are included." /> + @@ -73,7 +76,7 @@ scenario and model adjustment factors from p. 15 and p. 17 are included." /> @@ -96,13 +94,14 @@ scenario and model adjustment factors from p. 15 and p. 17 are included." /> +

Properties of the predefined scenarios from the EFSA guidance from 2015

- Source: R/soil_scenario_data_EFSA_2015.R +
@@ -131,24 +130,25 @@ scenario and model adjustment factors from p. 15 and p. 17 are included.

Examples

- 
# NOT RUN {
+    
if (FALSE) {
   # 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),
+  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")
+    row.names = c("CTN", "CTC", "CTS", "CLN", "CLC", "CLS")
   )
-  save(soil_scenario_data_EFSA_2015, file = '../data/soil_scenario_data_EFSA_2015.RData')
-# }

+  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
#>        Zone        Country T_arit T_arr     Texture  f_om theta_fc  rho f_sce
 #> CTN   North        Estonia    4.7   7.0      Coarse 0.118    0.244 0.95   3.0
@@ -179,19 +179,23 @@ scenario and model adjustment factors from p. 15 and p. 17 are included.

   

 

 
+
+ + -- cgit v1.2.1