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server.R
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library(shiny)
library(Benchmarking)
library(DT)
library(ggplot2)
function(input, output,session){
options(scipen=999)
Sys.setlocale(locale = "zh_TW.UTF8")
checkclass<-function(x){
cl<-NULL
for(i in 1:ncol(x)){
cl<-c(cl,class(x[,i]))
}
cl
}
# 資料讀取reactive----
deadata <- reactive({
inputhisfile <- input$file1
if(is.null(inputhisfile)){
return(NULL)
}else{
read.csv(inputhisfile$datapath, fileEncoding = "BIG5", header = T, stringsAsFactors = F)
}
})
# 資料前處理
XYpre <- reactive({
if(is.null(deadata())){
return(NULL)
}else{
ARData <- deadata()
ARDataColName <- colnames(ARData)[-1] # 第一行為prjcode
Xcol <- na.omit(as.numeric(strsplit(paste(input$X)," ")[[1]]))
Ycol <- na.omit(as.numeric(strsplit(paste(input$Y)," ")[[1]]))
lenX <- length(Xcol)
lenY <- length(Ycol)
LC <- c("lenX" = lenX, "lenY" = lenY)
NM <- ARDataColName
return(list(Xcol,Ycol,LC,NM))
}
})
# 資料輸入、依照變數數量展開UI
observeEvent(input$vGo,{
inFile <- input$file1
if (is.null(inFile)){
showModal(modalDialog(
"請先匯入資料",
easyClose = T
,footer = modalButton("OK")
))
}else if(any(duplicated(as.numeric(na.omit(as.numeric(strsplit(paste(input$X,input$Y)," ")[[1]])))))){
showModal(modalDialog(
"欄位重複",
easyClose = T
,footer = modalButton("OK")
))
}else if(input$X==""|input$Y==""){
showModal(modalDialog(
"變數欄位不能空白",
easyClose = T
,footer = modalButton("OK")
))
}else{
colchoosed<-setdiff(as.numeric(strsplit(paste(input$X,input$Y)," ")[[1]]),NA)
if(any(colchoosed %in% which(checkclass(deadata())=="character"))){
showModal(modalDialog(
"只能選擇數字型態欄位",
easyClose = T
,footer = modalButton("OK")
))
}else if(any(!colchoosed %in% 1:ncol(deadata()))){
showModal(modalDialog(
"輸入的欄位超出資料欄位數",
easyClose = T
,footer = modalButton("OK")
))
}else{
if(input$mode==1){
return(NULL)
}else{
# Input lower
output$Iratiolower <- renderUI({
XYpre <- XYpre()
ARDataColName <- XYpre[[4]]
LC <- XYpre[[3]]
if(LC["lenX"]==1){
return(NULL)
}else if(LC["lenX"]>=2){
lapply(1:(LC["lenX"]-1), function(i){
div(style="display:inline-block",numericInput(inputId = paste0("ILower",i),
label = paste(combn(ARDataColName,2)[1,1:(LC["lenX"]-1)],
combn(ARDataColName,2)[2,1:(LC["lenX"]-1)],sep="/")[i],value=0.5))
})
}
})
# Input upper
output$Iratioupper <- renderUI({
XYpre <- XYpre()
LC <- XYpre[[3]]
ARDataColName <- XYpre[[4]][(LC["lenX"]+1):length(XYpre[[4]])] # for output
if(LC["lenX"]==1){
return(NULL)
}else if(LC["lenX"]>=2){
lapply(1:(LC["lenX"]-1), function(i){
div(style="display:inline-block",numericInput(inputId = paste0("IUpper",i),
label = paste(combn(ARDataColName,2)[1,1:(LC["lenX"]-1)],
combn(ARDataColName,2)[2,1:(LC["lenX"]-1)],sep="/")[i],value=2))
})
}
})
# Output lower
output$Oratiolower <- renderUI({
XYpre <- XYpre()
LC <- XYpre[[3]]
ARDataColName <- XYpre[[4]][(LC["lenX"]+1):length(XYpre[[4]])] # for output
if(LC["lenY"]==1){
return(NULL)
}else if(LC["lenY"]>=2){
lapply(1:(LC["lenY"]-1), function(i){
div(style="display:inline-block",numericInput(inputId = paste0("OLower",i),
label = paste(combn(ARDataColName,2)[1,1:(LC["lenY"]-1)],
combn(ARDataColName,2)[2,1:(LC["lenY"]-1)],sep="/")[i],value=0.5))
})
}
})
combn(c(3,4),2)
# Output upper
output$Oratioupper <- renderUI({
XYpre <- XYpre()
ARDataColName <- XYpre[[4]]
LC <- XYpre[[3]]
if(LC["lenY"]==1){
return(NULL)
}else if(LC["lenY"]>=2){
lapply(1:(LC["lenY"]-1), function(i){
div(style="display:inline-block",numericInput(inputId = paste0("OUpper",i),
label = paste(combn(ARDataColName,2)[1,1:(LC["lenY"]-1)],
combn(ARDataColName,2)[2,1:(LC["lenY"]-1)],sep="/")[i],value=2))
})
}
})
}
}
}
})
# 資料檢視----
output$viewdata<-DT::renderDataTable({
if (is.null(deadata())){
return(NULL)
}else{
datatable(deadata(),
options = list(searching = F, filter = "top",
lengthMenu = list(c(-1, 20), c('20','All')),
pageLength = 20))
}
})
# 計算完畢視窗+跳轉Panel
observeEvent(input$run,{
if(!is.null(deadata()) & !is.null(XYpre)){
showModal(modalDialog(
div("專案相對效率計算完畢！", style = "font-size:200%"),
easyClose = T, footer = modalButton("OK")))
#跳轉panel ----
updateTabsetPanel(session, "tabset",selected = "result")
}else{
showModal(modalDialog(
div("請檢查資料輸入是否正確完整！", style = "font-size:200%"),
easyClose = T
,footer = modalButton("OK")
))
}
})
# DEA計算模組----
calculation <- eventReactive(input$run,{
# Reactive Data
ARData <- deadata()
# Data Preprocess
XYpre <- XYpre()
ARDataColName <- XYpre[[4]] # 第一行為prjcode(已在XYpre去除)
LC <- XYpre[[3]]
Xcol <- XYpre[[1]]
Ycol <- XYpre[[2]]
# 建立DEA AR Model
if(input$mode == 1){
CCR <- dea.dual(X=ARData[,Xcol],Y=ARData[,Ycol],RTS="crs")
CCR.Result <- cbind(ARData[,1],"相對效率" = round(CCR$eff,10), round(CCR$u,10), round(CCR$v,10))
colnames(CCR.Result) <- c("Project Code", "相對效率", ARDataColName[Xcol-1], ARDataColName[Ycol-1] )
return(CCR.Result)
}else{
# 跑CCR-AR-I，且每格都要填
# 取出input、output權重
Inum <- 1:(LC["lenX"]-1)
Onum <- 1:(LC["lenY"]-1)
# 先將權重抓出變成vector
lowerI <- 0; upperI <- 0
for(t in 1:Inum){
lowerI <- c(lowerI,input[[paste0("ILower",t)]])
upperI <- c(upperI,input[[paste0("IUpper",t)]])
}
lowerO <- 0; upperO <- 0
for(tt in 1:Onum){
lowerO <- c(lowerO,input[[paste0("ILower",tt)]])
upperO <- c(upperO,input[[paste0("IUpper",tt)]])
}
# 變成矩陣;row1是lower, row2是upper
InputWeight <- rbind(lowerI[-1], upperI[-1])
OutputWeight <- rbind(lowerO[-1], upperO[-1])
Ivector <- c()
for(h in 1:(LC["lenX"]-1)){
Ivector <- c(Ivector,InputWeight[,h])
}
Ovector <- c()
for(k in 1:(LC["lenX"]-1)){
Ovector <- c(Ovector,OutputWeight[,k])
}
# 這理的權重必須由RenderUI取得
dual.AR <- matrix(c(Ivector,Ovector), nrow=LC["lenX"]+LC["lenY"]-2, ncol=2, byrow=TRUE)
E.AR <- dea.dual(X=ARData[,Xcol],Y=ARData[,Ycol],RTS="crs", DUAL=dual.AR)
AR.Result <- cbind(ARData[,1],"相對效率" = round(E.AR$eff,10), round(E.AR$u,10), round(E.AR$v,10))
colnames(AR.Result) <- c("Project Code", "相對效率", ARDataColName[Xcol-1], ARDataColName[Ycol-1] )
return(AR.Result)
}
})
# DEA結果output----
output$Efficiency <- DT::renderDataTable({
if (is.null(calculation())){
return(NULL)
}else{
datatable(calculation(),
options = list(searching = F, filter = "top",
lengthMenu = list(c(20, -1), c('20','All')),
pageLength = 20))
}
})
# 儲存結果----
output$SaveNum <- downloadHandler(
filename = function() { paste0("DEA_Result - " ,Sys.Date(), ".csv") },
content = function(file) {
if(is.null(calculation())){
return(NULL)
}else{
write.csv(calculation(), file)
}
}
)
# 圖表呈現----
output$viewplot <- renderPlot({
if(is.null(XYpre())){
return(NULL)
}else{
# Reactive Data
ARData <- deadata()
# Data Preprocess
XYpre <- XYpre()
ARDataColName <- XYpre[[4]] # 第一行為prjcode(已在XYpre去除)
LC <- XYpre[[3]]
Xcol <- XYpre[[1]]
Ycol <- XYpre[[2]]
weight <- apply(as.matrix(calculation()),2,as.numeric)
# 矩陣相乘並抓對角線為分數
Xm <- apply(as.matrix(ARData[,Xcol]),2,as.numeric)
Ym <- apply(as.matrix(ARData[,Ycol]),2,as.numeric)
XMatrix <- Xm %*% t(weight[,(1:LC["lenX"])+2])
YMatrix <- Ym %*% t(weight[,((3+LC["lenX"]):ncol(weight))])
for(u in 1:nrow(ARData)){
ARData$XAxis[u] <- XMatrix[u,u]
ARData$YAxis[u] <- YMatrix[u,u]
}
fmt_dcimals <- function(decimals=0){
# return a function responpsible for formatting the
# axis labels with a given number of decimals
function(x) as.character(round(x,decimals))
}
ggplot(ARData, aes(x = XAxis, y = YAxis)) + geom_point() + geom_text(aes(label=ARData[,1]),hjust=-0.5, vjust=-0.5) +
scale_y_continuous(labels=fmt_dcimals(10))
}
})
}