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我有两个数据表，在我编辑了它们的单元格后，我想将它们下载到 xlsx 文件的两个不同表中。使用下面提到的方法我得到了错误 -

警告：错误：分配的数据cell$value必须与现有数据兼容。i 列发生错误Trial ID:。x 无法转换为 . [没有可用的堆栈跟踪]

相关服务器代码如下——

x<- reactive({
        inFile <- input$file
        
        if(is.null(inFile))
            return(NULL)
        file.rename(inFile$datapath,
                    paste(inFile$datapath, ".xlsx", sep=""))
        read_excel(paste(inFile$datapath, ".xlsx", sep=""),sheet = 1)
        })

y <- reactive({
        inFile <- input$file
        
        if(is.null(inFile))
            return(NULL)
        file.rename(inFile$datapath,
                    paste(inFile$datapath, ".xlsx", sep=""))
        read_excel(paste(inFile$datapath, ".xlsx", sep=""),sheet = 2)
        
    })

output$table1 <- renderDataTable({
        x()
    }, filter="top", class = 'hover cell-border stripe', editable= TRUE,extensions= 'Buttons',
    options = list(dom = 'Bfrtip',pageLength =10,
                   buttons = c('copy','csv','excel','pdf','print'), scrollX=TRUE),server=FALSE)


output$table2 <- renderDataTable({
        y()
    }, filter="top", class = 'hover cell-border stripe', editable= TRUE,extensions= 'Buttons',
    options = list(dom = 'Bfrtip',pageLength =10,
                   buttons = c('copy','csv','excel','pdf','print'), scrollX=TRUE),server=FALSE)



observeEvent(input[["table1_cell_edit"]], {
            cell <- input[["table1_cell_edit"]]
            newdf <- x()
            newdf[cell$row, cell$col] <- cell$value
            x(newdf)
        })
        
observeEvent(input[["table2_cell_edit"]], {
            cell <- input[["table2_cell_edit"]]
            newdf <- y()
            newdf[cell$row, cell$col] <- cell$value
            y(newdf)
        })
            

    
output$dl <- downloadHandler(
            filename = "test.xlsx",
            content = function(file) {
            write.xlsx2(x(), file, sheetName = "Sheet1")
            write.xlsx2(y(), file, sheetName = "Sheet2", append = TRUE)
            }
        )

有人可以告诉我哪里出错了吗？

4

1 回答 1

1

也许您应该使用reactiveValues对象，而不是reactive对象来表示 x 和 y。试试下面的例子

library(shiny)
library(DT)
library(readxl)

ui <- fluidPage(
  fileInput("file", "Import File", accept = ".xlsx"),
  DTOutput("t1")
)

server <- function(input, output, session) {
  x <- reactiveValues()
  
  observe({
    
    xdf <- reactive({
      req(input$file)
      inFile <- input$file
      
      if(is.null(inFile)) return(NULL)
      file.rename(inFile$datapath, paste0(inFile$datapath, ".xlsx"))
      read_excel(paste0(inFile$datapath, ".xlsx"),sheet = 1)
    })
    
    x$df <- xdf()
  })  
  
  output$t1 <- renderDT({x$df},filter="top", class = 'hover cell-border stripe', selection = 'none',
                        editable= list(target = 'cell'), extensions= 'Buttons',
                        options = list(dom = 'Bfrtip',pageLength =10,
                                       buttons = c('copy','csv','excel','pdf','print'), scrollX=TRUE),server=FALSE)
  
  observeEvent(input[["t1_cell_edit"]], {
    cell <- input[["t1_cell_edit"]]
    str(cell)
    x$df <<- editData(x$df, cell)
  })

}

shinyApp(ui, server)
于 2021-06-03T12:38:24.360 回答