Update app.R

app.R

@@ -20,8 +20,18 @@ library(ggplot2)
 #   z0 = c(5, 4.8, 5.2, 5.1),
 #   phand = c("R", "R", "L", "L")
 # )
+
+calculate_timstuff <- function(data) {
+  data_matrix <- as.matrix(data)
+  mod <- xgb.load('TimStuff2.model')
+  prediction <- predict(mod, data_matrix)
+  timstuff <- (100 - (prediction - -0.002620635) / 0.006021368 * 10)
+  return(timstuff)
+}
 MLB24T <- read.csv("MLB24T.csv", header = TRUE, check.names = FALSE, fileEncoding = "UTF-8")
 
+MLB24T <- calculate_timstuff(MLB24T)
+
 pitcher_data <- MLB24T %>%
   group_by(`Pitcher Name`,pitch_name,phand) %>%
   summarise(
@@ -36,15 +46,6 @@ pitcher_data <- MLB24T %>%
   )
 
 
-
-calculate_timstuff <- function(data) {
-  data_matrix <- as.matrix(data)
-  mod <- xgb.load('TimStuff2.model')
-  prediction <- predict(mod, data_matrix)
-  timstuff <- (100 - (prediction - -0.002620635) / 0.006021368 * 10)
-  return(timstuff)
-}
-
 ui <- fluidPage(
   theme = shinytheme("flatly"),