Update app.R

app.R

@@ -5,14 +5,14 @@ library(utils)
 
 data1 <- read.csv("data1.csv", header = TRUE, check.names = FALSE, fileEncoding = "UTF-8")
 
-AAaveragePT <- data1 %>%
-  mutate(arm_angle = round(arm_angle, digits = 0)) %>%
-  group_by(arm_angle, phand, pitch_name) %>%
-  summarise(
-    AvgIVB = mean(IVB, na.rm = TRUE),
-    AvgHB = mean(HB, na.rm = TRUE),
-    .groups = 'drop'
-  )
+pitch_type_lookup <- data.frame(
+    pitch_name = c("Changeup", "Curveball", "Cutter", "Eephus", "Forkball", 
+                   "Four-Seam Fastball", "Knuckle Ball", "Knuckle Curve", 
+                   "Screwball", "Sinker", "Slider", "Slurve", "Splitter", "Sweeper"),
+    pitch_abbr = c("CH", "CU", "FC", "EP", "FO", "FF", "KN", "KC", 
+                   "SC", "SI", "SL", "SV", "FS", "ST"),
+    stringsAsFactors = FALSE
+)
 
 break_plot_Szn <- function(game,data1,sdate,edate) {
   game <- game %>% left_join(pitch_type_lookup, by = c("pitch_name"))
@@ -330,6 +330,17 @@ ui <- fluidPage(
 
 # Define server
 server <- function(input, output) {
+
+  AAaveragePT <- data1 %>%
+  mutate(arm_angle = round(arm_angle, digits = 0)) %>%
+  group_by(arm_angle, phand, pitch_name) %>%
+  summarise(
+    AvgIVB = mean(IVB, na.rm = TRUE),
+    AvgHB = mean(HB, na.rm = TRUE),
+    .groups = 'drop'
+  )
+
+  
   filtered_data <- eventReactive(input$submit, {
     data1 %>%
       filter(`Pitcher Name` == input$player,