代码之家 › 专栏 › 技术社区 › Loyushka

selectInput的值列表

output shiny server input user-interface

Loyushka · 技术社区 · 7 年前

我想创建一个“selectInput”小部件,其中值的选择是由“fileInput”小部件导入的数据集中的列的名称。

library(shiny)

ui <- fluidPage(

  # Widget for loading data set
  fileInput("file", label = h4("Input csv data set")),

  # Widget for selecting the variable among names of columns of the data set
  selectInput("select.variable", label = h4("Select variable from data set"),
  choices = tableOutput("list.var"), selected = 1) # This approach doesn't work

  )

server <- function(input, output) {

  # The goal was to get the list of names of columns to use it as "choices"
  # in the "selectInput" widget
  output$list.var <- renderTable({

  inFile <- input$file
  if (is.null(inFile)) # To avoid error messages when the file is not yet loaded
  return(NULL)

  # After the file is loaded
  data.fr <- read.csv(inFile$datapath)
  list.var <- names(data.fr[1,]) # Get the names of the columns of the dataset

  })

  }

shinyApp(ui = ui, server = server)

有没有办法使用导入数据集的列名称作为“selectInput”小部件的选项?

1 回复 | 直到 7 年前

Pork Chop 7 年前

像这样的事情应该会奏效。我用过 renderUI

library(shiny)

ui <- fluidPage(

        # Widget for loading data set
        fileInput("file", label = h4("Input csv data set")),
        uiOutput("myslider")
)
server <- function(input, output) {

        # The goal was to get the list of names of columns to use it as "choices"
        # in the "selectInput" widget

        output$myslider <- renderUI({
                # Widget for selecting the variable among names of columns of the data set
                selectInput("select.variable", label = h4("Select variable from data set"),
                            choices = names(mydata()), selected = 1) # This approach doesn't work 

        })

        mydata <- reactive({
                inFile <- input$file
                if (is.null(inFile)) # To avoid error messages when the file is not yet loaded
                        return(NULL)

                # After the file is loaded
                data.fr <- read.csv(inFile$datapath)
                names(data.fr[1,]) # Get the names of the columns of the dataset  
        })

        output$list.var <- renderTable({
                mydata()
        })

}

shinyApp(ui = ui, server = server)

推荐文章