Update app.R

app.R

@@ -169,41 +169,6 @@ scale_TimStuff <- function(raw_score, model_mean, model_sd) {
   return(result)
 }
 
-calculate_primary <- function(data){
-  data <- data %>%
-    group_by(pitch_name, `Pitcher Name`, `Pitcher ID`, date) %>%
-    mutate(
-      pitch_count = n(),
-      avg_start_speed = mean(start_speed, na.rm = TRUE),
-      avg_IVB = mean(IVB, na.rm = TRUE),
-      avg_HB = mean(HB, na.rm = TRUE)
-    ) %>%
-    ungroup() %>%
-    group_by(`Pitcher Name`, `Pitcher ID`, date) %>%
-    mutate(
-      is_highest_occurrence = case_when(
-        pitch_count == max(pitch_count) ~ 1,
-        TRUE ~ 0
-      )
-    ) %>%
-    mutate(
-      is_highest_occurrence = case_when(
-        is_highest_occurrence == 1 & pitch_count == max(pitch_count[is_highest_occurrence == 1]) & 
-          avg_start_speed == max(avg_start_speed[is_highest_occurrence == 1]) ~ 1,
-        TRUE ~ 0
-      )
-    ) %>%
-    mutate(
-      primary_speed = avg_start_speed[is_highest_occurrence == 1][1],
-      primary_IVB = avg_IVB[is_highest_occurrence == 1][1],
-      primary_HB = avg_HB[is_highest_occurrence == 1][1]
-    ) %>%
-    ungroup() %>%
-    mutate(primvelodiff = primary_speed - start_speed,
-           primivbdiff = primary_IVB - IVB,
-           primhbdiff = primary_HB - HB)
-}
-
 calculate_timstuff <- function(game) {
  # game <- calculate_primary(game)
   game <- game %>%