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app.R
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# Shiny R Application - NFL Draft
# By: Paul Gallagher
#----------------------------Pre Load----------------------------------
library(shiny)
library(ggplot2)
library(ggimage)
library(reshape)
library(DT)
library(shinydashboard)
library(scales)
library(pgirmess)
library(dplyr)
library(markdown)
library(lamisc)
library(reactable)
library(reactablefmtr)
library(sparkline)
library(formattable)
library(httr)
#Load Data
nflData <- read.csv("NFLData.csv",stringsAsFactors = FALSE)
rookieDealAV <- read.csv("rookieDealAV.csv",stringsAsFactors = FALSE)
rookieDealAVNon <- read.csv("rookieDealAVNon.csv",stringsAsFactors = FALSE)
nflLogos <- read.csv("NFLLogos.csv",stringsAsFactors = FALSE)
player_archetypes_sum <- read.csv("player_archetypes_sum.csv",stringsAsFactors = FALSE,,row.names = 'X.')
starter_table <- read.csv("starter_table.csv",stringsAsFactors = FALSE)
RndSummary <- rookieDealAV %>% group_by(Rnd) %>% dplyr::summarize(MedianAV = median(RookieAV),n = n())
ClassifierSummary <- rookieDealAV %>% group_by(Classifier) %>% dplyr::summarize(MedianAV = median(RookieAV),n = n())
##Colors for Bar Graph
colfunc<-colorRampPalette(c("red","yellow","green"))
colorsBar <- data.frame(AV = seq(1:20),color = colfunc(20))
colorsBar <- rbind(colorsBar,data.frame(AV =seq(along.with = 21:40,from = 21),color = "#00FF00"))
##Colors for League Rankings
colorsRank <- data.frame(Rank = seq(1:32),color = 'red')
colorsRank$color <- ifelse(colorsRank$Rank > 10 & colorsRank$Rank <= 20,'yellow','red')
colorsRank$color <- ifelse(colorsRank$Rank <= 10,'green',colorsRank$color)
# UI-----
ui <- navbarPage("NFL Draft",
#-------------------------------------Dashboards--------------------
tabPanel("Teams",dashboardPage(skin = "blue",
#Page Title
dashboardHeader(title = "NFL Teams"),
#DropDown for Team
dashboardSidebar(selectInput("teamDash","Team",c("ALL",unique(rookieDealAV$DraftTm)[sort.list(unique(rookieDealAV$DraftTm))]),selected = "ARI"),htmlOutput("logo")),
dashboardBody(fluidRow(
column(4,selectInput("posTeam","Position",list("ALL","QB","RB","WR","TE","T","G","C","DT","EDGE","LB","DB","K"))),
column(4,selectInput("draftYrTeam","Draft Year",c("ALL",unique(rookieDealAV[which(rookieDealAV$DraftYear != 2000),"DraftYear"])[sort.list(unique(rookieDealAV[which(rookieDealAV$DraftYear != 2000),"DraftYear"]))])))),
fluidRow(valueBoxOutput("NFLRanking"),valueBoxOutput("teamdAV"),valueBoxOutput("teamAV")),
fluidRow(
box(title = "Best Draft Pick",status = "success",solidHeader = TRUE, fluidRow(column(5,htmlOutput("headshotBest"),h3(textOutput("DashBestName")),h4(htmlOutput("DashBestGrade")),h4(textOutput("DashBestYr")),h4(textOutput("DashBestRndPick")),br(),h4(textOutput("DashBestAV")),h4(textOutput("DashBestxAV")),h4(htmlOutput("DashBestdAV"))),column(7,plotOutput({"BestGraph"})))),
box(title = "Worst Draft Pick",status = "danger", solidHeader = TRUE,fluidRow(column(5,htmlOutput("headshotWorst"),h3(textOutput("DashWorstName")),h4(htmlOutput("DashWorstGrade")),h4(textOutput("DashWorstYr")),h4(textOutput("DashWorstRndPick")),br(),h4(textOutput("DashWorstAV")),h4(textOutput("DashWorstxAV")),h4(htmlOutput("DashWorstdAV"))),column(7,plotOutput({"WorstGraph"}))))
),#fluidRow draft picks
"Viewing on a mobile device? Click the 3 solid white lines near the top of the page to change teams",br(),br(),"AV = Approximate Value",br(),"Players Drafted From 2001-2022",br(),"Data Source: www.pro-football-reference.com",br(),br(),uiOutput('RedditLink'),br(),uiOutput('GitHubLink'),uiOutput("FeedbackLink"))#body
)),#Teams
#--------------------------Draft Optimizer------------------------------
tabPanel('Draft Optimizer',
tabsetPanel(type = "tabs",
tabPanel("By Position",
titlePanel("Draft Pick by Position Optimizer"),
fluidRow(
column(3,
selectInput("posOptimizer","Position",list("QB","RB","WR","TE","T","G","C","DT","EDGE","LB","DB"))
)
),
#fluidrow
markdown(
' **Probability:** Is the probability of drafting a player who is **at least** as good as the player type, or better. <br />
**Vs Avg:** The difference the selected position and all other positions, for that player type and draft classifier.
'
),#markdown
reactableOutput("PosTableOptimizer"),
markdown(
'__________________________________________________________________________________________________________________________ <br />
### Player Type Examples'
),#markdown
column(6,htmlOutput("PlayerArchetypes"))
)#tabPanel
)#tabset Panel
),#Draft Optimizer
#-----------------------Tables------------------------------
tabPanel("Tables",
tabsetPanel(type = "tabs",
tabPanel("Players",
titlePanel("NFL Players"),
fluidRow(
column(3,
selectInput("team","Team",c("ALL",unique(rookieDealAV$DraftTm)[sort.list(unique(rookieDealAV$DraftTm))]))
),
column(3,
selectInput("posPlayers","Position",list("ALL","QB","RB","WR","TE","T","G","C","DT","EDGE","LB","DB","K"))
),
column(3,
selectInput("rndPlayers","Round",list("ALL",1,2,3,4,5,6,7))
),
column(3,
selectInput("draftYr","Draft Year",c("ALL",unique(rookieDealAV[which(rookieDealAV$DraftYear != 2000),"DraftYear"])
[sort.list(unique(rookieDealAV[which(rookieDealAV$DraftYear != 2000),"DraftYear"]))]))
)
),#fluid Row
DT::dataTableOutput("PlayerTable"),
"AV - Approximate Value - First 4 years + next 4 years if the player is still with their draft team, years 4-8 weighted at 50%",br(), "xAV - Expected Approximate Value", br(),"dAV – Difference between expected and actual approximate value"
),#Players
tabPanel("Draft Classes",verbatimTextOutput("value"),
titlePanel("Draft Classes"),
checkboxGroupInput("radio_draft_class", label = h4("Grouping Options:"),
choices = list("Team" = "Team", "Position" = "Pos","Draft Year" = "Yr"),
selected = c("Team","Yr"), inline = TRUE),
DT::dataTableOutput("Draft_Class_Table"),
"dAV – Difference between expected and actual approximate value",br(),"Draft Ranking - For position & team groups - ranking is within a draft year; otherwise all-time"
)#Draft Years
)#Tabset Panel
),#Tables
#--------------------------Statistical Tests-------------------------------
tabPanel("Statistical Tests",navbarPage("",
tabPanel("ANOVA - By Position",
# Application title
titlePanel("NFL Draft - By Position"),
# Dropdown for Pos
sidebarLayout(
sidebarPanel(
selectInput("pos",
label = "Select Position",
choices = list("ALL","QB","RB","WR","TE","T","G","C","DT","EDGE","LB","DB","K")
),verbatimTextOutput("PosTable"),h6("Kruskal-Wallis Test - p-Value: 0.05")
),
# Show boxplot
mainPanel(plotOutput("PosGraph"),plotOutput("PosAvgGraph")
)
)
),##tab Panel by Pos
tabPanel("ANOVA - By Round",
# Application title
titlePanel("NFL Draft - By Round"),
# Dropdown for Round
sidebarLayout(
sidebarPanel(
selectInput("rnd",
label = "Select Round",
choices = list("ALL",1,2,3,4,5,6,7)
),verbatimTextOutput("RndTable"),h6("Kruskal-Wallis Test - p-Value: 0.05")
),
# Show boxplot
mainPanel(plotOutput("RndGraph"))
)
),##Tab Player Probability
tabPanel("Player Probabilities",
# Application title
titlePanel("The Probabilty of Drafting a Comparable Player"),
h5("This section calculates the probability of drafting a player with comparable production in each section of the draft.
Drop down only includes players with a minimum AV of 30"),
selectInput('ProbSelect', 'Select a Player', unique(rookieDealAVNon[which(rookieDealAVNon$RookieAV >= 25),"PlayerID"])
[sort.list(unique(rookieDealAVNon[which(rookieDealAVNon$RookieAV >= 25),"PlayerID"]))],selected = "David Johnson3-86", selectize=TRUE),
verbatimTextOutput("PlayerProbTable")
))##tabpanel By round
#Write_up--------------------------------------------------------------
),tabPanel("Methodology",fluidPage(includeMarkdown("https://www.dropbox.com/s/vdd752d67pxqaeq/Shiny%20Writeup.md?dl=1"),hr(),uiOutput('AVLink'),br()))#Navbar, statistical tests
,tabPanel("Settings",sliderInput("draftYrGlobal","Select Draft Years - Filters all Tables & Charts",min = 2000, max = max(rookieDealAV$DraftYear),value = c(2000, max(rookieDealAV$DraftYear)),sep ='',step = 1))
)#UI
# SERVER START-------------------------------------------------------------------------
server <- function(input, output,session) {
colors <- data.frame("Grade" = c("Bust","Poor Pick","Below Average Pick","Average Pick","Good Pick","Great Pick","Steal","Strategic Pick"),"ColorCode" = c("#4f0101","#b80000","#ff5500","#808080","#04c729","#017016", "#3495eb","#000000"))
#Update Draft Year Based on Slider
observe({
years <- c("ALL",seq(input$draftYrGlobal[1],input$draftYrGlobal[2],1))
if(2000 %in% years){
years <- years[-2]
}
updateSelectInput(session,"draftYrTeam",choices = years,selected = "ALL")
updateSelectInput(session,"draftYr",choices = years,selected = "ALL")
})#Update Drop Down
# Statistical Tests - Server ----------------------------------------------
##By Position Graph
output$PosGraph <- renderPlot({
ggSubset <- rookieDealAV[which(rookieDealAV$DraftYear >= input$draftYrGlobal[1] &
rookieDealAV$DraftYear <= input$draftYrGlobal[2]),]
ggSubset$Classifier <- factor(ggSubset$Classifier,c("Top 5","6-15","16-32","33-48","49-64","3","4","5","6","7"))
if (input$pos == "ALL"){
print(ggplot(ggSubset, aes(Classifier, RookieAV,fill = as.factor(Classifier))) + geom_boxplot() + xlab("Section of the Draft") + ylab("Sqrt(Approximate Value)") + ggtitle("Classifier vs Approximate Value"))
}else{
posDF <- subset(ggSubset, Pos == input$pos)
print(ggplot(posDF, aes(Classifier, RookieAV,fill = as.factor(Classifier))) + geom_boxplot() + xlab("Section of the Draft") + ylab("Sqrt(Approximate Value)") + ggtitle(paste("Classifier vs Approximate Value - Position:", input$pos)))
}
})
##By Position Vs Average
output$PosAvgGraph <- renderPlot({
PosSummary <- rookieDealAV[which(rookieDealAV$DraftYear >= input$draftYrGlobal[1] &
rookieDealAV$DraftYear <= input$draftYrGlobal[2]),] %>%
group_by(Classifier,Pos) %>% dplyr::summarize(MedianAV = median(RookieAV))
if (input$pos == "ALL"|input$pos == "K"){
}else{
ggSubset <- subset(PosSummary, Pos == input$pos)
ggSubset$RndAvg <- ClassifierSummary[ClassifierSummary$Classifier %in% ggSubset$Classifier,]$MedianAV
ggSubset <- melt(as.data.frame(ggSubset),names(ggSubset)[1:2])
ggSubset$Classifier <- factor(ggSubset$Classifier,c("Top 5","6-15","16-32","33-48","49-64","3","4","5","6","7"))
ggplot(ggSubset, aes(x = Classifier, y = value, group = variable, colour = variable)) + geom_point(size = 2) + geom_line() + scale_colour_manual(name = "Pick Type", labels = c(input$pos,"All Pos Avg"),values = c("blue","red")) + ggtitle(paste("All Position Average Vs. Average for: ", input$pos)) + xlab("Section of the Draft") + ylab("Sqrt(Approximate Value)")
}
})
##By Round Graph
output$RndGraph <- renderPlot({
rookieDealAV <- rookieDealAV[which(rookieDealAV$DraftYear >= input$draftYrGlobal[1] &
rookieDealAV$DraftYear <= input$draftYrGlobal[2]),]
if (input$rnd == "ALL"){
ggplot(subset(rookieDealAV),aes(x = reorder(Pos,RookieAV, FUN = median), y = RookieAV, fill = Pos)) + geom_boxplot() + xlab("Position") + ylab("Sqrt(Approximate Value)") + ggtitle("Position vs AV")
}else{
posDF <- subset(rookieDealAV, Pos == input$rnd)
ggplot(subset(rookieDealAV, Rnd == input$rnd),aes(x = reorder(Pos,RookieAV, FUN = median), y = RookieAV, fill = Pos)) + geom_boxplot() + xlab("Position") + ylab("Sqrt(Approximate Value)") + ggtitle("Position vs AV")
}
})
##By Position - ANOVA
output$PosTable <- renderPrint({
rookieDealAV <- rookieDealAV[which(rookieDealAV$DraftYear >= input$draftYrGlobal[1] &
rookieDealAV$DraftYear <= input$draftYrGlobal[2]),]
if (input$pos == "ALL"){
posANOVA <- kruskalmc(RookieAV~Classifier , data = rookieDealAV)
posANOVA$dif.com
posANOVA <- data.frame(posANOVA$dif.com)
posANOVA[order(posANOVA$difference,posANOVA$obs.dif,decreasing = TRUE),]
}else{
posDF <- subset(rookieDealAV, Pos == input$pos)
posANOVA <- kruskalmc(RookieAV~Classifier , data = posDF)
posANOVA <- data.frame(posANOVA$dif.com)
posANOVA[order(posANOVA$difference,posANOVA$obs.dif,decreasing = TRUE),]
}
})
##By Round - ANOVA
output$RndTable <- renderPrint({
rookieDealAV <- rookieDealAV[which(rookieDealAV$DraftYear >= input$draftYrGlobal[1] &
rookieDealAV$DraftYear <= input$draftYrGlobal[2]),]
if (input$rnd == "ALL"){
rndANOVA <- kruskalmc(RookieAV~Pos , data = rookieDealAV)
rndANOVA <- data.frame(rndANOVA$dif.com)
rndANOVA[order(rndANOVA$difference,rndANOVA$obs.dif,decreasing = TRUE),]
}else{
posDF <- subset(rookieDealAV, Rnd == input$rnd)
rndANOVA <- kruskalmc(RookieAV~Pos , data = posDF)
rndANOVA <- data.frame(rndANOVA$dif.com)
rndANOVA[order(rndANOVA$difference,rndANOVA$obs.dif,decreasing = TRUE),]
}
})
#Player Probabilities
output$PlayerProbTable <- renderPrint({
pos <- rookieDealAV[which(rookieDealAV$PlayerID == input$ProbSelect),"Pos"]
AV <- rookieDealAV[which(rookieDealAV$PlayerID == input$ProbSelect),"RookieAV"]
df_player_prob <- rookieDealAV %>% filter(Pos == pos) %>% group_by(Classifier) %>%
dplyr::summarize(Avg = median(RookieAV),SD = sd(RookieAV)) #get all of them then delete dupes
df_player_prob <- data.frame(df_player_prob)
df_player_prob <- df_player_prob %>% arrange(match(Classifier,c("Top 5","6-15","16-32","33-48","49-64","3","4","5","6","7")))
df_player_prob$Probability <- apply(df_player_prob[,2:3], 1, function(x) pnorm(AV,x[1],x[2],lower.tail = FALSE))
df_player_prob$Probability <- label_percent()(df_player_prob$Probability)
names(df_player_prob) <- c("Section_of_Draft","Avg","SD","Probability")
df_player_prob[,c("Section_of_Draft","Probability")]
})
# Tables - Server ---------------------------------------------------------
#* Players Table - Server --------------------------------------------------
#Players Table
output$PlayerTable <- DT::renderDataTable(DT::datatable({
playerData <- rookieDealAVNon[,c('Player','DraftYear','DraftTm','Pos','Rnd','Pick','Classifier','RookieAV','MedianAV','dAV','Grade')]
levels(playerData$Grade) <- c("Bust","Poor Pick","Below Average Pick","Average Pick","Good Pick","Great Pick","Steal","Strategic Pick")
playerData <- playerData[which(playerData$DraftYear >= input$draftYrGlobal[1] &
playerData$DraftYear <= input$draftYrGlobal[2]),]
if (input$team != "ALL"){
playerData <- subset(playerData, playerData$DraftTm == input$team)
}
if (input$posPlayers != "ALL"){
playerData <- subset(playerData, playerData$Pos == input$posPlayers)
}
if (input$rndPlayers != "ALL"){
playerData <- subset(playerData, playerData$Rnd == input$rndPlayers)
}
if (input$draftYr != "ALL"){
playerData <- subset(playerData, playerData$DraftYear == input$draftYr)
}
playerData
},rownames = FALSE,options = list(columnDefs =
list(list(className = 'dt-center',
targets = 1:9))),colnames = c("Player","Draft Year","Draft Team", "Pos", "Round","Pick","Classifier","Actual AV","xAV","dAV","Grade"),caption = "AV: Approximate Value | xAV: Expected Approximate Value | dAV: Actual AV - xAV")
%>% formatStyle("Grade",color = styleEqual(c("Bust","Poor Pick","Below Average Pick","Average Pick","Good Pick","Great Pick","Steal","Strategic Pick"),c("#4f0101","#b80000","#ff5500","#808080","#04c729","#017016", "#3495eb","#000000")),fontWeight = 'bold')
) #Player Table
#* Team / Draft Class Table -----------------------------------------------
output$Draft_Class_Table <- DT::renderDataTable(DT::datatable({
rookieDealAVNon <- rookieDealAVNon[which(rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
##Draft Grades
ApplyGroups <- function(x) {
cut(x, breaks=c(quantile(draftClass$dAV, probs = c(0,0.05,0.25,0.40,0.60,0.75,0.95,1.00))),
labels=c("Terrible Draft","Poor Draft","Below Average Draft","Average Draft","Good Draft","Great Draft","Amazing Draft"), include.lowest=TRUE)
}
#colnames(rookieDealAVNon) <- c("Pick","Classifier","PlayerID","Player","Draft Year","DraftTm","Pos","Rnd","RookieAV","G","GS","AvgAV","LastSeason","Seasons","PlayerName","YearsSinceDrafted","MedianAV","dAV","Grade")
#Remove 2000 since Tom Brady is only played in the dataset from that draft class
#No Grouping
if(length(input$radio_draft_class) == 0 || all("Yr" == input$radio_draft_class)){
draftClass <- rookieDealAVNon[which(rookieDealAVNon$DraftYear != 2000),] %>% group_by(DraftYear) %>% dplyr::summarize(dAV = round(sum(dAV),0))
draftClass <- rank_in_group2(data = draftClass, arrange_var = dAV)
colDraftClass<- c("Draft Year","Total dAV","Draft Ranking","Grade")
draftClass$Grade <- sapply(draftClass$dAV,ApplyGroups)
names(draftClass)<- colDraftClass
}
#By Pos,Team & Yr
else if (all(c("Team","Pos","Yr") == input$radio_draft_class)){
draftClass <- rookieDealAVNon[which(rookieDealAVNon$DraftYear != 2000),] %>% group_by(DraftTm,Pos, DraftYear) %>% dplyr::summarize(dAV = round(sum(dAV),0))
draftClass <- rank_in_group2(data = draftClass,group_var = Pos, arrange_var = dAV)
colDraftClass <- c("Draft Team","Position","Draft Year","Total dAV","Draft Ranking","Grade")
draftClass$Grade <- sapply(draftClass$dAV,ApplyGroups)
names(draftClass)<- colDraftClass
}
#By Pos & Yr
else if (all(c("Pos","Yr") == input$radio_draft_class)){
draftClass <- rookieDealAVNon[which(rookieDealAVNon$DraftYear != 2000),] %>% group_by(Pos, DraftYear) %>% dplyr::summarize(dAV = round(sum(dAV),0))
draftClass <- rank_in_group2(data = draftClass,group_var = DraftYear, arrange_var = dAV)
colDraftClass <- c("Position","Draft Year","Total dAV","Draft Ranking","Grade")
draftClass$Grade <- sapply(draftClass$dAV,ApplyGroups)
names(draftClass)<- colDraftClass
}
#By Pos,Team
else if (all(c("Team","Pos") == input$radio_draft_class)){
draftClass <- rookieDealAVNon[which(rookieDealAVNon$DraftYear != 2000),] %>% group_by(DraftTm,Pos) %>% dplyr::summarize(dAV = round(sum(dAV),0))
draftClass <- rank_in_group2(data = draftClass,group_var = Pos, arrange_var = dAV)
colDraftClass <- c("Draft Team","Position","Total dAV","Draft Ranking","Grade")
draftClass$Grade <- ""
names(draftClass)<- colDraftClass
}
#By Position
else if (all("Pos" == input$radio_draft_class)){
draftClass <- rookieDealAVNon[which(rookieDealAVNon$DraftYear != 2000),] %>% group_by(Pos) %>% dplyr::summarize(dAV = round(sum(dAV),0))
draftClass <- rank_in_group2(data = draftClass, arrange_var = dAV)
draftClass$Grade <- ""
colDraftClass <- c("Position","Total dAV","Draft Ranking","Grade")
names(draftClass)<- colDraftClass
}
#By Team
else if (all("Team" == input$radio_draft_class)){
draftClass <- rookieDealAVNon[which(rookieDealAVNon$DraftYear != 2000),] %>% group_by(DraftTm) %>% dplyr::summarize(dAV = round(sum(dAV),0))
draftClass <- rank_in_group2(data = draftClass, arrange_var = dAV)
draftClass$Grade <- ""
colDraftClass <- c("Draft Team","Total dAV","Rank","Grade")
names(draftClass)<- colDraftClass
}
#By Team & Yr
else if (all(c("Team","Yr") == input$radio_draft_class)){
draftClass <- rookieDealAVNon[which(rookieDealAVNon$DraftYear != 2000),] %>% group_by(DraftTm, DraftYear) %>% dplyr::summarize(dAV = round(sum(dAV),0))
draftClass <- rank_in_group2(data = draftClass,group_var = DraftYear, arrange_var = dAV)
colDraftClass <- c("Draft Team","Draft Year","Total dAV","Draft Ranking","Grade")
draftClass$Grade <- sapply(draftClass$dAV,ApplyGroups)
names(draftClass)<- colDraftClass
}
#draftClass$Grade <- sapply(draftClass$dAV,ApplyGroups)
#names(draftClass)<- colDraftClass
draftClass
},rownames = FALSE,filter = "top",options = list(columnDefs =
list(list(className = 'dt-center',
targets = "_all"))))
%>% formatStyle("Grade",color = styleEqual(c("Terrible Draft","Poor Draft","Below Average Draft","Average Draft","Good Draft","Great Draft","Amazing Draft"),c("#4f0101","#b80000","#ff5500","#808080","#04c729","#017016", "#3495eb")),fontWeight = 'bold')
)#Draft Class Table
# Dashboards - Server -----------------------------------------------------
# *Players Dashboard - Server ----------------------------------------------
#Team Logos
URLTeam <- reactive({
a <- nflLogos[which(nflLogos$team_code == input$teamDash),4]
return(a)
})
output$logo <- renderText({ c('<img src="',URLTeam(),'">')})
##Subset by team,
# **Best Pick ---------------------------------------------------------------
#PlayerName
NameBest <- reactive({
if(input$teamDash == "ALL"){
a <- rookieDealAVNon[which(rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}else{
a <- rookieDealAVNon[which(rookieDealAVNon$DraftTm == input$teamDash &
rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}
if(input$posTeam != "ALL"){
a <- a[which(a$Pos == input$posTeam),]
}
if(input$draftYrTeam != "ALL"){
a <- a[which(a$DraftYear == input$draftYrTeam),]
}
a <- a[which.max(a$dAV),]
return(c(a$Player,", ",a$Pos))
})
output$DashBestName <- renderText({NameBest()})
#Player Photo
URLBestPlayer <- reactive({
if(input$teamDash == "ALL"){
a <- rookieDealAVNon[which(rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}else{
a <- rookieDealAVNon[which(rookieDealAVNon$DraftTm == input$teamDash &
rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}
if(input$posTeam != "ALL"){
a <- a[which(a$Pos == input$posTeam),]
}
if(input$draftYrTeam != "ALL"){
a <- a[which(a$DraftYear == input$draftYrTeam),]
}
a <- a[which.max(a$dAV),]
#rvPlayerName <- gsub("[.]","",a$Player)
#playerName <- gsub(" ","-",rvPlayerName)
#return(playerName)
headshotURL <- a$headshot_url
if(httr::http_error(headshotURL)){
headshotURL <- "https://static.www.nfl.com/image/private/f_auto,q_auto,w_250,h_200/league/j9utxwp9846osapesksk.png"}
return(headshotURL)
})
##Create URL
#url1 <- "https://tsnimages.tsn.ca/ImageProvider/PlayerHeadshot?seoId="
url2 <- "&w=250&h=200"
output$headshotBest <- renderText({
if(grepl("espn",URLBestPlayer())){
c('<img src="',paste(URLBestPlayer(),url2,sep = ""),'">')
}else{
c('<img src="',URLBestPlayer(),'">')
}
})
#DraftYear
bestYr <- reactive({
if(input$teamDash == "ALL"){
a <- rookieDealAVNon[which(rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}else{
a <- rookieDealAVNon[which(rookieDealAVNon$DraftTm == input$teamDash &
rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}
if(input$posTeam != "ALL"){
a <- a[which(a$Pos == input$posTeam),]
}
if(input$draftYrTeam != "ALL"){
a <- a[which(a$DraftYear == input$draftYrTeam),]
}
a <- a[which.max(a$dAV),]
return(c("Draft Year: ",a$DraftYear))
})
output$DashBestYr <- renderText({bestYr()})
#Rnd & Pick
bestRndPick <- reactive({
if(input$teamDash == "ALL"){
a <- rookieDealAVNon[which(rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}else{
a <- rookieDealAVNon[which(rookieDealAVNon$DraftTm == input$teamDash &
rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}
if(input$posTeam != "ALL"){
a <- a[which(a$Pos == input$posTeam),]
}
if(input$draftYrTeam != "ALL"){
a <- a[which(a$DraftYear == input$draftYrTeam),]
}
a <- a[which.max(a$dAV),]
return(c("Round: ",a$Rnd,", Pick: ",a$Pick))
})
output$DashBestRndPick <- renderText({bestRndPick()})
##AV
bestAV<- reactive({
if(input$teamDash == "ALL"){
a <- rookieDealAVNon[which(rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}else{
a <- rookieDealAVNon[which(rookieDealAVNon$DraftTm == input$teamDash &
rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}
if(input$posTeam != "ALL"){
a <- a[which(a$Pos == input$posTeam),]
}
if(input$draftYrTeam != "ALL"){
a <- a[which(a$DraftYear == input$draftYrTeam),]
}
a <- a[which.max(a$dAV),]
return(c("Actual AV: ",a$RookieAV))
})
output$DashBestAV <- renderText({bestAV()})
##xAV
bestxAV<- reactive({
if(input$teamDash == "ALL"){
a <- rookieDealAVNon[which(rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}else{
a <- rookieDealAVNon[which(rookieDealAVNon$DraftTm == input$teamDash &
rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}
if(input$posTeam != "ALL"){
a <- a[which(a$Pos == input$posTeam),]
}
if(input$draftYrTeam != "ALL"){
a <- a[which(a$DraftYear == input$draftYrTeam),]
}
a <- a[which.max(a$dAV),]
return(c("Expected AV: ",a$MedianAV))
})
output$DashBestxAV <- renderText({bestxAV()})
##dAV
bestdAV<- reactive({
if(input$teamDash == "ALL"){
a <- rookieDealAVNon[which(rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}else{
a <- rookieDealAVNon[which(rookieDealAVNon$DraftTm == input$teamDash &
rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}
if(input$posTeam != "ALL"){
a <- a[which(a$Pos == input$posTeam),]
}
if(input$draftYrTeam != "ALL"){
a <- a[which(a$DraftYear == input$draftYrTeam),]
}
a <- a[which.max(a$dAV),]
colourGrade <- colors[which(colors$Grade == a$Grade),2]
return(paste("Difference from expected AV: ","<font color=",colourGrade,"><b>", a$dAV, "</b></font>"))
})
output$DashBestdAV <- renderText({bestdAV()})
#Draft Grade
bestGrade <- reactive({
if(input$teamDash == "ALL"){
a <- rookieDealAVNon[which(rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}else{
a <- rookieDealAVNon[which(rookieDealAVNon$DraftTm == input$teamDash &
rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}
if(input$posTeam != "ALL"){
a <- a[which(a$Pos == input$posTeam),]
}
if(input$draftYrTeam != "ALL"){
a <- a[which(a$DraftYear == input$draftYrTeam),]
}
a <- a[which.max(a$dAV),]
colourGrade <- colors[which(colors$Grade == a$Grade),2]
return(paste("Draft Grade: ","<font color=",colourGrade,"><b>", as.character(a$Grade), "</b></font>"))
})
output$DashBestGrade <- renderText({bestGrade()})
# **Worst Pick --------------------------------------------------------------
#PlayerName
NameWorst <- reactive({
if(input$teamDash == "ALL"){
a <- rookieDealAVNon[which(rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}else{
a <- rookieDealAVNon[which(rookieDealAVNon$DraftTm == input$teamDash &
rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}
if(input$posTeam != "ALL"){
a <- a[which(a$Pos == input$posTeam),]
}
if(input$draftYrTeam != "ALL"){
a <- a[which(a$DraftYear == input$draftYrTeam),]
}
a <- a[which.min(a$dAV),]
return(c(a$Player,", ",a$Pos))
})
output$DashWorstName <- renderText({NameWorst()})
#Player Photo
URLWorstPlayer <- reactive({
if(input$teamDash == "ALL"){
a <- rookieDealAVNon[which(rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}else{
a <- rookieDealAVNon[which(rookieDealAVNon$DraftTm == input$teamDash &
rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}
if(input$posTeam != "ALL"){
a <- a[which(a$Pos == input$posTeam),]
}
if(input$draftYrTeam != "ALL"){
a <- a[which(a$DraftYear == input$draftYrTeam),]
}
a <- a[which.min(a$dAV),]
#rvPlayerName <- gsub("[.]","",a$Player)
#playerName <- gsub(" ","-",rvPlayerName)
#return(playerName)
headshotURL <- a$headshot_url
if(httr::http_error(headshotURL)){
headshotURL <- "https://static.www.nfl.com/image/private/f_auto,q_auto,w_250,h_200/league/j9utxwp9846osapesksk.png"}
return(headshotURL)
})
##Create URL
#url1 <- "https://tsnimages.tsn.ca/ImageProvider/PlayerHeadshot?seoId="
url2 <- "&w=250&h=200"
output$headshotWorst <- renderText({
if(grepl("espn",URLWorstPlayer())){
c('<img src="',paste(URLWorstPlayer(),url2,sep = ""),'">')
}else{
c('<img src="',URLWorstPlayer(),'">')
}
})
#DraftYear
WorstYr <- reactive({
if(input$teamDash == "ALL"){
a <- rookieDealAVNon[which(rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}else{
a <- rookieDealAVNon[which(rookieDealAVNon$DraftTm == input$teamDash &
rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}
if(input$posTeam != "ALL"){
a <- a[which(a$Pos == input$posTeam),]
}
if(input$draftYrTeam != "ALL"){
a <- a[which(a$DraftYear == input$draftYrTeam),]
}
a <- a[which.min(a$dAV),]
return(c("Draft Year: ",a$DraftYear))
})
output$DashWorstYr <- renderText({WorstYr()})
#Rnd & Pick
WorstRndPick <- reactive({
if(input$teamDash == "ALL"){
a <- rookieDealAVNon[which(rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}else{
a <- rookieDealAVNon[which(rookieDealAVNon$DraftTm == input$teamDash &
rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}
if(input$posTeam != "ALL"){
a <- a[which(a$Pos == input$posTeam),]
}
if(input$draftYrTeam != "ALL"){
a <- a[which(a$DraftYear == input$draftYrTeam),]
}
a <- a[which.min(a$dAV),]
return(c("Round: ",a$Rnd,", Pick: ",a$Pick))
})
output$DashWorstRndPick <- renderText({WorstRndPick()})
##AV
WorstAV<- reactive({
if(input$teamDash == "ALL"){
a <- rookieDealAVNon[which(rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}else{
a <- rookieDealAVNon[which(rookieDealAVNon$DraftTm == input$teamDash &
rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}
if(input$posTeam != "ALL"){
a <- a[which(a$Pos == input$posTeam),]
}
if(input$draftYrTeam != "ALL"){
a <- a[which(a$DraftYear == input$draftYrTeam),]
}
a <- a[which.min(a$dAV),]
return(c("Actual AV: ",a$RookieAV))
})
output$DashWorstAV <- renderText({WorstAV()})
##xAV
WorstxAV<- reactive({
if(input$teamDash == "ALL"){
a <- rookieDealAVNon[which(rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}else{
a <- rookieDealAVNon[which(rookieDealAVNon$DraftTm == input$teamDash &
rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}
if(input$posTeam != "ALL"){
a <- a[which(a$Pos == input$posTeam),]
}
if(input$draftYrTeam != "ALL"){
a <- a[which(a$DraftYear == input$draftYrTeam),]
}
a <- a[which.min(a$dAV),]
return(c("Expected AV: ",a$MedianAV))
})
output$DashWorstxAV <- renderText({WorstxAV()})
##dAV
WorstdAV<- reactive({
if(input$teamDash == "ALL"){
a <- rookieDealAVNon[which(rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}else{
a <- rookieDealAVNon[which(rookieDealAVNon$DraftTm == input$teamDash &
rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}
if(input$posTeam != "ALL"){
a <- a[which(a$Pos == input$posTeam),]
}
if(input$draftYrTeam != "ALL"){
a <- a[which(a$DraftYear == input$draftYrTeam),]
}
a <- a[which.min(a$dAV),]
colourGrade <- colors[which(colors$Grade == a$Grade),2]
return(paste("Difference from expected AV: ","<font color=",colourGrade,"><b>", a$dAV, "</b></font>"))
})
output$DashWorstdAV <- renderText({WorstdAV()})
#Draft Grade
WorstGrade <- reactive({
if(input$teamDash == "ALL"){
a <- rookieDealAVNon[which(rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}else{
a <- rookieDealAVNon[which(rookieDealAVNon$DraftTm == input$teamDash &
rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}
if(input$posTeam != "ALL"){
a <- a[which(a$Pos == input$posTeam),]
}
if(input$draftYrTeam != "ALL"){
a <- a[which(a$DraftYear == input$draftYrTeam),]
}
a <- a[which.min(a$dAV),]
colourGrade <- colors[which(colors$Grade == a$Grade),2]
return(paste("Draft Grade: ","<font color=",colourGrade,"><b>", as.character(a$Grade), "</b></font>"))
})
output$DashWorstGrade <- renderText({WorstGrade()})
##BestGraph
UpperLimit <- 20
BestGraph <- reactive({
if(input$teamDash == "ALL"){
a <- rookieDealAVNon[which(rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}else{
a <- rookieDealAVNon[which(rookieDealAVNon$DraftTm == input$teamDash &
rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}
if(input$posTeam != "ALL"){
a <- a[which(a$Pos == input$posTeam),]
}
if(input$draftYrTeam != "ALL"){
a <- a[which(a$DraftYear == input$draftYrTeam),]
}
a <- a[which.max(a$dAV),]
a <- unique(a$PlayerID)
playerSubset <- nflData[which(nflData$PlayerID == a),]
playerSubset <- playerSubset[order(playerSubset$Season),]
playerSubset <- playerSubset[c(1:8),]
playerSubset <-playerSubset[complete.cases(playerSubset),]
playerSubsetScale <- playerSubset
playerSubset$AV <- ifelse(playerSubset$AV <= 0,1,playerSubset$AV)
#playerSubset$AV <- ifelse(playerSubset$AV > 20, 20,playerSubset$AV)
gg <- ggplot(playerSubset,aes(x = as.character(Season),y = AV,fill = as.factor(AV)))+ geom_bar(stat = "identity",width = 0.60) + scale_fill_manual(values = as.vector(factor(subset(colorsBar,AV %in% playerSubset$AV)$color))) + scale_y_continuous(limits = c(0,ifelse(max(playerSubset$AV) > 20,max(playerSubset$AV),UpperLimit))) + xlab("Year") + ylab("Approximate Value" )+ ggtitle("Actual Performance - Max 8 Seasons")+ theme(legend.position="none") + geom_image(aes(image = url), size = 0.075)
return (gg)
})
output$BestGraph <- renderPlot({BestGraph()})
##WorstGraph
WorstGraph <- reactive({
if(input$teamDash == "ALL"){
a <- rookieDealAVNon[which(rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}else{
a <- rookieDealAVNon[which(rookieDealAVNon$DraftTm == input$teamDash &
rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
}
if(input$posTeam != "ALL"){
a <- a[which(a$Pos == input$posTeam),]
}
if(input$draftYrTeam != "ALL"){
a <- a[which(a$DraftYear == input$draftYrTeam),]
}
a <- a[which.min(a$dAV),]
a <- unique(a$PlayerID)
playerSubset <- nflData[which(nflData$PlayerID == a),]
playerSubset <- playerSubset[order(playerSubset$Season),]
playerSubset <- playerSubset[c(1:8),]
playerSubset <-playerSubset[complete.cases(playerSubset),]
playerSubset$AV <- ifelse(playerSubset$AV <= 0,1,playerSubset$AV)
#playerSubset$AV <- ifelse(playerSubset$AV > 15, 15,playerSubset$AV)
gg <- ggplot(playerSubset,aes(x = as.character(Season),y = AV,fill = as.factor(AV)))+ geom_bar(stat = "identity",width = 0.60) + scale_fill_manual(values = as.vector(factor(subset(colorsBar,AV %in% playerSubset$AV)$color))) + scale_y_continuous(limits = c(0,ifelse(max(playerSubset$AV) > 20,max(playerSubset$AV),UpperLimit))) + xlab("Year") + ylab("Approximate Value" )+ ggtitle("Actual Performance - Max 8 Seasons")+ theme(legend.position="none")+ geom_image(aes(image = url), size = 0.075)
return (gg)
})
output$WorstGraph <- renderPlot({WorstGraph()})
#Team Value Boxes
draftRanking <- reactive({
a <- rookieDealAVNon[which(rookieDealAVNon$DraftYear >= input$draftYrGlobal[1] &
rookieDealAVNon$DraftYear <= input$draftYrGlobal[2]),]
if(input$posTeam != "ALL"){
a <- a[which(a$Pos == input$posTeam),]
}
if(input$draftYrTeam != "ALL"){
a <- a[which(a$DraftYear == input$draftYrTeam),]
}
draftRanking <- aggregate(dAV~DraftTm, data = a, FUN = sum)
draftRanking <- merge(draftRanking,aggregate(RookieAV~DraftTm, data = a , FUN = sum),by = "DraftTm")
rownames(draftRanking) <- NULL
draftRanking <- draftRanking[order(draftRanking$dAV,decreasing = T),]
return(draftRanking)
})
output$NFLRanking <- renderValueBox({valueBox(ordinal(as.numeric(which(draftRanking()$DraftTm == input$teamDash))),tags$p(paste(input$teamDash," League Ranking"), style = "font-size: 150%;"),icon = icon("list-ol"),color = ifelse(input$teamDash != "ALL",as.character(colorsRank[which(colorsRank$Rank == which(draftRanking()$DraftTm == input$teamDash)),2]),'blue'))})
output$teamdAV <- renderValueBox({valueBox(draftRanking()[which(draftRanking()$DraftTm == input$teamDash),2],tags$p(paste(input$teamDash,": Total Difference from Expected AV"),style = "font-size: 150%;"),icon = icon("trophy"),color = ifelse(input$teamDash != "ALL",as.character(colorsRank[which(colorsRank$Rank == which(draftRanking()$DraftTm == input$teamDash)),2]),'blue'))})
output$teamAV <- renderValueBox({valueBox(draftRanking()[which(draftRanking()$DraftTm == input$teamDash),3],tags$p(paste(input$teamDash,": Actual AV"),style = "font-size: 150%;"),icon = icon("football-ball"),color = ifelse(input$teamDash != "ALL",as.character(colorsRank[which(colorsRank$Rank == which(draftRanking()$DraftTm == input$teamDash)),2]),'blue'))})
# HyperLinks - Server -----------------------------------------------------
url <- a("Click ", href="https://www.pro-football-reference.com/blog/index37a8.html")
output$AVLink <- renderUI({
tagList("AV Explanation:", url)
})
urlGit <- a("Application Code ", href="https://github.com/paulg66/NFL_Draft")
output$GitHubLink <- renderUI({
tagList(urlGit)
})
urlReddit <- a("u/paulg66 ", href = "https://www.reddit.com/user/paulg66")
output$RedditLink <- renderUI({
tagList("Created and Maintained by Paul Gallagher - ",urlReddit)
})
urlFeedback <- a("Feedback Form",href = "https://forms.gle/9LSJ2ze78fWMcgnK6")
output$FeedbackLink <- renderUI({
tagList(urlFeedback)
})
# Draft Optimizer ---------------------------------------------------------
#By Position ----------------------------------------------------------
#Reactable -----------------------------------------------------------
colors_palette_avg <- c("#e24115","#fe9d00","#fdce02","#f0f2f5","#77c000","#019a48")
output$PosTableOptimizer <- renderReactable({
posProbTable <- subset(starter_table, starter_table$Pos == input$posOptimizer)
reactable(
posProbTable,
theme = espn(centered = TRUE),
compact = TRUE,
columnGroups = list(
colGroup(name = "8-Yr Starter", columns = c("Probability8","Avg8")),
colGroup(name = "4-Yr Starter", columns = c("Probability4","Avg4")),
colGroup(name = "2-Yr Starter", columns = c("Probability2","Avg2")),
colGroup(name = "Career Backup", columns = c("ProbabilityB","AvgB")),
colGroup(name = "Non-Roster Player", columns = c("ProbabilityN","AvgN"))
),#colGroups
columns = list(
# 8 - Year Starter
Probability8 = colDef(name = 'Probability',
align = 'left',
cell = data_bars(
posProbTable,
max_value = 1,
min_value = 0,
fill_color_ref = "color8",
number_fmt = scales::percent_format(accuracy = 0.1),
force_outside = c(0,0.4),
text_position = "above",
round_edges = TRUE
),
style = list(borderLeft = "1px dashed rgba(0, 0, 0, 0.3)")
),#prob8
Avg8 = colDef(name = "vs Avg",
align = "center",
maxWidth = 65,
cell = color_tiles(
posProbTable,
number_fmt = scales::percent_format(accuracy = 0.1),
colors = colors_palette_avg,
box_shadow = TRUE,
span = c("Avg8","Avg4","Avg2","AvgB","AvgN"))
),#Avg8
# 4 - Year Starter
Probability4 = colDef(name = 'Probability',
align = 'left',
cell = data_bars(
posProbTable,
max_value = 1,
min_value = 0,
fill_color_ref = "color4",
number_fmt = scales::percent_format(accuracy = 0.1),
force_outside = c(0,0.4),
text_position = "above",
round_edges = TRUE
),
style = list(borderLeft = "1px dashed rgba(0, 0, 0, 0.3)")
),#prob4
Avg4 = colDef(name = "vs Avg",
align = "center",
maxWidth = 65,
cell = color_tiles(
starter_table,
number_fmt = scales::percent_format(accuracy = 0.1),
colors = colors_palette_avg,
box_shadow = TRUE,
span = c("Avg8","Avg4","Avg2","AvgB","AvgN"))
),#Avg4
# 2 - Year Starter
Probability2 = colDef(name = 'Probability',
align = 'left',
cell = data_bars(
posProbTable,
max_value = 1,
min_value = 0,
fill_color_ref = "color2",
number_fmt = scales::percent_format(accuracy = 0.1),
force_outside = c(0,0.4),
text_position = "above",
round_edges = TRUE
),
style = list(borderLeft = "1px dashed rgba(0, 0, 0, 0.3)")
),#prob2
Avg2 = colDef(name = "vs Avg",
align = "center",
maxWidth = 65,
cell = color_tiles(
starter_table,
number_fmt = scales::percent_format(accuracy = 0.1),
colors = colors_palette_avg,
box_shadow = TRUE,
span = c("Avg8","Avg4","Avg2","AvgB","AvgN"))
),#Avg2
# Backup
ProbabilityB = colDef(name = 'Probability',
align = 'left',
cell = data_bars(
posProbTable,
max_value = 1,