Update app.R

app.R

@@ -50,8 +50,21 @@ build_pitcher_stats <- function(df, min_pitches) {
       bip_n     = sum(!is.na(ExitSpeed) &
                     !PitchCall %in% c("FoulBall","FoulBallNotFieldable",
                                       "FoulBallFieldable","FoulTip"), na.rm=TRUE),
+      fb_velo_sum = sum(ifelse(!is.na(RelSpeed) & 
+                                 TaggedPitchType %in% c("Fastball","FourSeamFastBall",
+                                                         "Four-Seam","FourSeam",
+                                                         "Sinker","TwoSeamFastBall",
+                                                         "OneSeamFastball","Cutter"),
+                               RelSpeed, NA), na.rm=TRUE),
+      fb_velo_n   = sum(!is.na(RelSpeed) & 
+                          TaggedPitchType %in% c("Fastball","FourSeamFastBall",
+                                                  "Four-Seam","FourSeam",
+                                                  "Sinker","TwoSeamFastBall",
+                                                  "OneSeamFastball","Cutter"),
+                        na.rm=TRUE),
       .groups   = "drop"
     ) %>%
+    ungroup() %>%
     filter(Pitches >= min_pitches) %>%
     mutate(
       Name        = sapply(Pitcher, format_name),
@@ -67,6 +80,7 @@ build_pitcher_stats <- function(df, min_pitches) {
                     ),
       `Whiff%`    = round(whiff_n   / pmax(swing_n,   1) * 100, 1),
       `Chase%`    = round(chase_n   / pmax(outzone_n, 1) * 100, 1),
+      `FB Velo`   = ifelse(fb_velo_n == 0, NA_real_, round(fb_velo_sum / fb_velo_n, 1)),
       `Hard Hit%` = round(hh_n      / pmax(bip_n,     1) * 100, 1)
     ) %>%
     # filter out blank or incomplete names
@@ -76,8 +90,8 @@ build_pitcher_stats <- function(df, min_pitches) {
       # must have both first and last name (at least one space)
       grepl(" ", trimws(Name))
     ) %>%
-    select(Name, Level, Team=PitcherTeam, Pitches, `Zone%`, `Strike%`, `K's`, `BB's`,
-           `K/BB`, `Whiff%`, `Chase%`, `Hard Hit%`) %>%
+    select(Name, Level, Team=PitcherTeam, Pitches, `FB Velo`, `Zone%`, `Strike%`,
+           `K's`, `BB's`, `K/BB`, `Whiff%`, `Chase%`, `Hard Hit%`) %>%
     arrange(desc(Pitches))
 }
 
@@ -263,7 +277,7 @@ output$pitcher_table <- renderDT({
         order      = list(list(2, "desc")),
         dom        = "lfrtip",
         columnDefs = list(
-          list(className="dt-center", targets=2:11),
+          list(className="dt-center", targets=2:12),
           list(className="dt-left",   targets=0:1)
         )
       )