在rShiny中的两个renderDT之间切换

问题描述

我正在构建一个闪亮的应用程序，用户需要在其中添加一个数字项目向量（我使用了renderDT），该向量应该用于计算另一个renderDT中的列值。有没有一种方法可以使用arates1 [i，2]计算arates2 [i，1]。下面的代码不允许这样做。有解决这个问题的想法吗？

    ui <- navbarPage("Calculator",tabPanel("allocate",fluidRow(
                            
                            column(2,wellPanel(
                              
                              
                              numericInput(inputId = "nsamp",label = "Total sample size",min = 10,max = 1000000,value = 100),numericInput(inputId = "Nstrata",label = "Number of Strata",min = 1,max = 500,value = 10)
                            )),# Output:
                            column(2,DTOutput("tbl")
                            ),column(5,DTOutput("tb2")
                            )
                          )
                 ))

    server <- function(input,output,session) 
    {
output$tbl <- renderDT({
    
    Nstrata <- as.numeric(input$Nstrata)
    RSE_ <- rep(0,Nstrata)    
    
    arates1 <- matrix(0,nrow = Nstrata,ncol = 2)
    dimnames(arates1) <- list(NULL,c("ID","population"))
    
    for (i in seq_along(RSE_)) {
      
      arates1[i,1] <- i
      arates1[i,2] <- 0

    }
    
    datatable(arates1,class = 'cell-border stripe',options = list(dom = 't',pageLength = Nstrata,initComplete = JS(
                "function(settings,json) {","$(this.api().table().header()).css({'background-color': '#000','color': '#fff'});","}")),editable = TRUE)
  })
  
  output$tb2 <- renderDT({
    
    Nstrata <- as.numeric(input$Nstrata)
    RSE_ <- rep(0,Nstrata) 
    arates2 <- matrix(0,ncol = 1)
    dimnames(arates2) <- list(NULL,c("allocation"))
    
    for (i in seq_along(RSE_)) {
      
      arates2[i,1] <- input$nsamP*arates1[i,2]

    }
    
    datatable(arates2,"}")))
    
  })
}

解决方法

如果使第一个数据帧成为反应性数据，则可以使用它。请尝试这个。

library(data.table)

  ui <- navbarPage("Calculator",tabPanel("allocate",fluidRow(
                              column(2,wellPanel(
                                numericInput(inputId = "nsamp",label = "Total sample size",min = 10,max = 1000000,value = 100),numericInput(inputId = "Nstrata",label = "Number of Strata",min = 1,max = 500,value = 10)
                              )),# Output:
                              column(2,DTOutput("tb1")
                              ),column(3,DTOutput("tb2")
                              )
                            )
                   ))

  server <- function(input,output,session) {

    Nstrata <- reactiveVal(0)
    arates <- reactiveValues(data=NULL)
    observe({
      req(input$Nstrata)
      Nstrata(input$Nstrata)
      arates1 <- matrix(0,nrow = req(input$Nstrata),ncol = 2)
      dimnames(arates1) <- list(NULL,c("ID","population"))

      for (i in (1:Nstrata())) {

        arates1[i,1] <- i
        arates1[i,2] <- i*i

      }

      arates$data <- arates1

    })

    output$tb1 <- renderDT({
      req(Nstrata())
      #Nstrata <- as.numeric(input$Nstrata)
      datatable(arates$data,class = 'cell-border stripe',options = list(dom = 't',pageLength = Nstrata(),initComplete = JS(
                  "function(settings,json) {","$(this.api().table().header()).css({'background-color': '#000','color': '#fff'});","}")),editable = TRUE)
    })


    observeEvent(input$tb1_cell_edit,{
      info = input$tb1_cell_edit
      str(info)
      i = info$row
      j = info$col + 1  # column index offset by 1
      v = info$value
      
      arates$data[i,j] <<- DT::coerceValue(v,arates$data[i,j])
    }) 
    
    output$tb2 <- renderDT({
      arates2 <- matrix(0,nrow = Nstrata(),ncol = 1)
      dimnames(arates2) <- list(NULL,c("allocation"))
      arates2[,1] <- arates$data[,2]*input$nsamp
      datatable(arates2,"}")))
      
    })
    
  }

  shinyApp(ui = ui,server = server)