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Update app.R
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app.R
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@@ -6,50 +6,41 @@ library(caret)
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library(shinythemes)
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library(ggplot2)
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calculate_timstuff <- function(data
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mod <- xgb.load('Break.model')
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prediction <- predict(mod, data_matrix)
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timstuff <- (50 - (prediction - -0.004822031) / 0.007912765 * 10)
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} else {
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mod <- xgb.load('FB.model')
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prediction <- predict(mod, data_matrix)
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timstuff <- (50 - (prediction - -0.0011801) / 0.007989927 * 10)
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}
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return(timstuff)
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}
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ui <- fluidPage(
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theme = shinytheme("flatly"),
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titlePanel("TimStuff
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sidebarLayout(
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sidebarPanel(
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width = 4,
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radioButtons("pitch", "Pitch Type", choices = c("Fastball", "Offspeed", "Breaking"), inline = TRUE),
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radioButtons("phand", "Hand", choices = c("R", "L"), inline = TRUE),
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numericInput("velo", "Velocity (mph)", value = 95, min = 70, max = 110, step = 1),
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numericInput("ivb", "Induced Vertical Break (in)", value = 16, min = -
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numericInput("hb", "Horizontal Break
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numericInput("spinrate", "Spin Rate (rpm)", value = 2300, min = 1000, max = 3500, step = 10),
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numericInput("ext", "Extension (ft)", value = 6.3, min = 5, max = 8, step = 0.1),
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numericInput("spinaxisdiff", "Spin Axis Difference (°)", value = 0, min = -180, max = 180, step = 1),
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numericInput("x0", "Horizontal Release Point (ft)", value = -1.5, min = -5, max = 5, step = 0.1),
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numericInput("z0", "Vertical Release Point (ft)", value = 5, min = 3, max = 8, step = 0.1),
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selectInput("feature_to_vary", "Select Feature to Vary:",
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),
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mainPanel(
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@@ -64,73 +55,66 @@ ui <- fluidPage(
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)
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server <- function(input, output) {
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)
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feature_seq <- seq(feature_range()[1], feature_range()[2], length.out = 100)
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varied_data <- do.call(rbind, replicate(100, base_data, simplify = FALSE))
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varied_data[[input$feature_to_vary]] <- feature_seq
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timstuff <- calculate_timstuff(varied_data, input$pitch)
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plot_data <- data.frame(
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Feature = names(base_data)[which(names(base_data) == input$feature_to_vary)],
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Value = feature_seq,
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TimStuff = timstuff
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)
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ggplot(plot_data, aes(x = Value, y = TimStuff)) +
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geom_line(color = "blue", size = 1) +
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geom_point(aes(x = base_data[[input$feature_to_vary]],
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y = calculate_timstuff(base_data, input$pitch)),
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color = "red", size = 3) +
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theme_minimal() +
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ylim(0,100) +
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labs(title = paste("Impact of", input$feature_to_vary, "on TimStuff"),
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x = input$feature_to_vary, y = "TimStuff") +
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theme(text = element_text(size = 14))
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})
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})
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}
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library(shinythemes)
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library(ggplot2)
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calculate_timstuff <- function(data) {
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data_matrix <- as.matrix(data)
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mod <- xgb.load('TimStuff2.model')
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prediction <- predict(mod, data_matrix)
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timstuff <- (100 - (prediction - -0.00249975) / 0.007566558 * 10)
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return(timstuff)
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}
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ui <- fluidPage(
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theme = shinytheme("flatly"),
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titlePanel("TimStuff+ Calculator"),
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sidebarLayout(
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sidebarPanel(
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width = 4,
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radioButtons("phand", "Hand", choices = c("R", "L"), inline = TRUE),
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numericInput("velo", "Velocity (mph)", value = 95, min = 70, max = 110, step = 1),
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numericInput("ivb", "Induced Vertical Break (in)", value = 16, min = -30, max = 30, step = 0.1),
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numericInput("hb", "Horizontal Break (in.) (Pitcher's Perspective)", value = 6, min = -25, max = 25, step = 0.1),
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numericInput("spinrate", "Spin Rate (rpm)", value = 2300, min = 1000, max = 3500, step = 10),
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numericInput("ext", "Extension (ft)", value = 6.3, min = 5, max = 8, step = 0.1),
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numericInput("spinaxisdiff", "Spin Axis Difference (°)", value = 0, min = -180, max = 180, step = 1),
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numericInput("x0", "Horizontal Release Point (ft) (Catcher's Perspective)", value = -1.5, min = -5, max = 5, step = 0.1),
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numericInput("z0", "Vertical Release Point (ft)", value = 5, min = 3, max = 8, step = 0.1),
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numericInput("primvelo", "Average Velocity of Primary Pitch", value = 95, min = 70, max = 110, step = 1),
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numericInput("primIVB", "Average IVB of Primary Pitch", value = 16, min = -30, max = 30, step = 0.1),
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numericInput("primHB", "Average HB of Primary Pitch", value = 6, min = -25, max = 25, step = 0.1),
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selectInput("feature_to_vary", "Select Feature to Vary:",
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choices = c("Velocity" = "start_speed",
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"Induced Vertical Break" = "IVB",
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"Horizontal Break" = "HB",
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"Spin Rate" = "spin_rate",
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"Extension" = "EAA",
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"Spin Axis Difference" = "SADiff"))
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),
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mainPanel(
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)
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server <- function(input, output) {
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reactive_data <- reactive({
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data.frame(
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ishandL = ifelse(input$phand == "L", 1, 0),
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start_speed = input$velo,
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IVB = input$ivb,
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HB = input$hb,
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EAA = input$ext / 6.3,
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x0 = input$x0,
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z0 = input$z0,
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spin_rate = input$spinrate,
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SADiff = input$spinaxisdiff,
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primary_speed = input$primvelo,
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primary_IVB = input$primIVB,
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primary_HB = input$primHB
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)
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})
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output$stuff <- renderText({
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data <- reactive_data()
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TimStuff <- calculate_timstuff(data)
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paste("TimStuff+:", round(TimStuff, 2), "\nTimStuff+ scale is 100 is Average, 1 SD is 10")
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})
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feature_range <- reactive({
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ranges <- list(
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start_speed = c(70, 110),
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IVB = c(-20, 30),
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HB = c(-20, 20),
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spin_rate = c(1000, 3500),
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EAA = c(5/6.3, 8/6.3),
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SADiff = c(-180, 180)
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)
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ranges[[input$feature_to_vary]]
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})
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output$feature_impact <- renderPlot({
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base_data <- reactive_data()
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feature_seq <- seq(feature_range()[1], feature_range()[2], length.out = 100)
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varied_data <- do.call(rbind, replicate(100, base_data, simplify = FALSE))
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varied_data[[input$feature_to_vary]] <- feature_seq
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timstuff <- calculate_timstuff(varied_data)
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plot_data <- data.frame(
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Feature = names(base_data)[which(names(base_data) == input$feature_to_vary)],
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Value = feature_seq,
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TimStuff = timstuff
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)
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ggplot(plot_data, aes(x = Value, y = TimStuff)) +
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geom_line(color = "blue", size = 1) +
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geom_point(aes(x = base_data[[input$feature_to_vary]],
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y = calculate_timstuff(base_data)),
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color = "red", size = 3) +
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theme_minimal() +
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ylim(50,150) +
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labs(title = paste("Impact of", input$feature_to_vary, "on TimStuff"),
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x = input$feature_to_vary, y = "TimStuff") +
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theme(text = element_text(size = 14))
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})
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}
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