Add new tables

inst/extdata/scripts/check_scenario_overflows.R

@@ -1,30 +1,54 @@
 library(dplyr)
 if(FALSE){
-  s_a <- stat_summary(scenario = "S0")
+  s_a <- stat_summary(scenario = "S4")
   s_b <- stat_summary(scenario = "S7", include_bsb = TRUE)
 
   df <- merge(x = s_a, y = s_b, by = "RbId")
 
   outlet_catch <- kwb.misa:::loadMisa_decouplingInfo()
 
   df <- merge(x = df, y = outlet_catch, by.x = "RbId", by.y = "gerris_id")
+
+  df2 <- df %>%
+    mutate("diff_V" = tVol.x - tVol.y,
+           "red_V" = round(diff_V / tVol.x * 100, 0),
+           "diff_BSB" = tBSB.x - tBSB.y,
+           "red_BSB" = ifelse(
+             test = tBSB.x == 0,
+             yes = 0, no =  round(diff_BSB / tBSB.x * 100, 0)))
+
   # Regarding Volume
-  df2 <- df %>% mutate("diff" = tVol.x - tVol.y,
-                       "removal" = round(diff / tVol.x * 100, 0))
+  df2 %>% group_by(surface_water.x) %>%
+    summarize("mean_removal" = mean(red_V),
+              "sum_absol" = sum(diff_V),
+              "mean_absol" = mean(diff_V))
 
+  View(df2 %>% group_by(catchment_arab) %>%
+    summarize("mean_removal" = mean(red_V),
+              "sum_removal" = sum(diff_V),
+              "n" = n(),
+              "mean_absolut" = sum_removal / n))
+
+  # Regarding BOD
+  df2 %>% group_by(surface_water.x) %>%
+    summarize("mean_removal" = mean(red_BSB),
+              "sum_absol" =sum(diff_BSB),
+              "mean_absol" = mean(diff_BSB))
+
+  View(df2 %>% group_by(catchment_arab) %>%
+         summarize("mean_removal" = mean(red_BSB),
+                   "sum_removal" = sum(diff_BSB),
+                   "n" = n(),
+                   "mean_absolut" = sum_removal / n))
+
+  df2[df2$outlet_id.x == "16234002",]
   hist(df2$removal[df2$removal > 0])
   summary(df2$removal[df2$removal > 0])
   summary(df2$diff[df2$removal > 0])
   summary(df2$diff)
-  df3 <- df2 %>% group_by(surface_water.x) %>%
-    summarize("mean_removal" = mean(removal),
-              "mean_absol" = mean(diff))
+  df3 <-
+
 
-  df3 <- df2 %>% group_by(catchment_arab) %>%
-    summarize("mean_removal" = mean(removal),
-              "sum_removal" = sum(diff),
-              "n" = n(),
-              "mean_absolut" = sum_removal / n)
 
   df2 %>% filter(removal > 0) %>%
     group_by(surface_water.x) %>%
@@ -85,4 +109,9 @@ stat_summary <- function(scenario, include_bsb = TRUE){
 
 
 
+df_stat %>%
+  group_by(RbId, outlet_id, upstream_link_id, surface_water) %>%
+  summarize("tVol" = sum(tVol_m3, na.rw = TRUE),
+            "tBSB" = sum(tBSB_g, na.rm = TRUE))
+