rhandsontable Shiny App:用向量值填充给定列的按钮

时间:2017-08-30 13:47:40

标签: r shiny rhandsontable

我想准备一个Shiny App,其中用户可以用数字填充一列(例如Col1),然后按一个按钮为Col2生成条目(引入Col1的值的转换,例如乘以Col1的每一行通过随机数)。 我应该如何将按钮添加到以下示例代码中:

Feign.builder()
.client(RibbonClient.create())
...
.requestInterceptor(new MyInterceptor())

1 个答案:

答案 0 :(得分:0)

你在寻找类似的东西:

  ui <- shinyUI(fluidPage(
    titlePanel("Edit and save a table"),
    sidebarLayout(
      sidebarPanel(
        helpText("Shiny app based on an example given in the rhandsontable package.", 
                 "Right-click on the table to delete/insert rows.", 
                 "Double-click on a cell to edit"),          
        wellPanel(
          h3("Table options"),
          radioButtons("useType", "Use Data Types", c("TRUE", "FALSE")),
          actionButton("Calculate", "Calculate column 2")
        ),
        br(),           
        wellPanel(
          h3("Save"), 
          actionButton("save", "Save table")
        ),              
        wellPanel(
          textOutput('result')
        ) 
      ),

      mainPanel(
        rHandsontableOutput("hot")
      )
    )
  ))

  server <- shinyServer(function(input, output) {       
    #extract data from the table to be used
    portfoliovals2 <- reactive({
      live_data = hot_to_r(input$hot)[,1]
      return(live_data)
    })      
    #extract data to be used
    portfoliovalsB2 <- reactive({
      live_data = hot_to_r(input$hot)[,2]
      return(live_data)
    })


    ## create a new df every time the table is modified 
    new_df_g <- reactive({
      initial_dataEdit = portfoliovals2()
      initial_dataEditB = portfoliovalsB2()
      initial_dataEditW <- data.frame(initial_dataEdit, initial_dataEditB)    
      return(initial_dataEditW)
    })

    output$hot <- renderRHandsontable({

      if (input$Calculate ==0){
        initial_data = data.frame(Col1=1:10, Col2=runif(10), stringsAsFactors = FALSE)

      } else {
        initial_data = new_df_g()
        initial_data <- plyr::rename(initial_data, c("initial_dataEdit"="Col1", "initial_dataEditB"="Col2"))

        initial_data$Col2 <- initial_data$Col1 * 1.3
      }

      rhandsontable(initial_data, readOnly = FALSE,  rowHeaders = NULL, height = 600) %>%
        hot_cols(columnSorting = TRUE)
    })
  })

    ## Save 
    observeEvent(input$save, {
      finalDF <- new_df_g() 
      saveRDS(finalDF, file=file.path(outdir, sprintf("%s.rds", outfilename)))
    })

  })

  ## run app 
  runApp(list(ui=ui, server=server))