如何在 Shiny 中 select 行和列并使用 DT 进行过滤？

Question

我正在尝试创建一个闪亮的应用程序 能够 select 行和列 取决于用户的选择。对于 selecting 列，我使用 pickerInput，对于 selecting 行，扩展名“Select”以及您可以在代码中看到的更多选项（我看到了这个它工作得很好。）

问题是 我收到此警告 并且我认为它与 select 离子的类型不兼容。恐怕我没有看到的东西会产生更多错误。

警告：Select 扩展无法正常使用服务器端处理模式。建议仅在客户端处理模式下使用 Select 扩展（通过在 DT::renderDT() 中设置 server = FALSE ）或使用 DT 自己的 selection 实现（参见 selection参数在?DT::datatable).

另一方面，当我select“行”时，我不知道如何隐藏“pickerInput”中的“Selection Input”和操作按钮。

这是代码：

    library(shiny)
    library(shinyWidgets)
    library(dplyr)

ui <- fluidPage(
  
  # Application title
  titlePanel("Old Faithful Geyser Data"),
  
  # Sidebar with a slider input for number of bins 
  sidebarLayout(
    sidebarPanel(
      radioButtons("type_select", "What do you want to select?",
                   c("Rows" = "Rows",
                     "Columns" = "Columns")),
      uiOutput("picker"),
      actionButton("view", "View Selection")
      
    ),
    
    # Show a plot of the generated distribution
    mainPanel(
      h2('Mydata'),
      DT::dataTableOutput("table"),
    )
  )
)

library(shiny)
library(DT)

server <- function(session, input, output) {
  
  data <- reactive({
    iris
  })
  
  output$picker <- renderUI({
    pickerInput(inputId = 'pick', 
                label = 'Choose', 
                choices = colnames(data()),
                options = list(`actions-box` = TRUE),multiple = T)
  })
  
  datasetInput <- eventReactive(input$view,{
    
    datasetInput <- data() %>% 
      select(input$pick)
    
    return(datasetInput)
    
  })
  
  output$table <- renderDT({
    if(input$type_select == "Rows"){
        datatable(
          data(),
          selection = "none",
          filter="top", 
          rownames = FALSE,
          extensions = c("Buttons", "Select"),
          
          options = list(
            select = TRUE,
            dom = 'Blfrtip',
            buttons =
              list('copy', 'print', list(
                extend = 'collection',
                buttons = list(
                  list(extend = 'csv', filename = "File", title = NULL,
                       exportOptions = list(modifier = list(selected = TRUE))),
                  list(extend = 'excel', filename = "File", title = NULL,
                       exportOptions = list(modifier = list(selected = TRUE)))),
                text = 'Download'
              ))
          ),
          class = "display"
        )
    }else{
        datatable(
          datasetInput(),
          filter="top", 
          rownames = FALSE,
          extensions = 'Buttons',
          
          options = list(
            dom = 'Blfrtip',
            buttons =
              list('copy', 'print', list(
                extend = 'collection',
                buttons = list(
                  list(extend = 'csv', filename = "File", title = NULL),
                  list(extend = 'excel', filename = "File", title = NULL)),
                text = 'Download'
              ))
          ),
          class = "display"
        )
      }
  })
}


# Run the application 
shinyApp(ui = ui, server = server)

接下来，我将向您展示该应用程序的一些屏幕截图，以解释其工作原理。

如果你select“行”：

如果您select“列”：

事实上，如果您想检查 selection 是否正常，您可以下载一个文件（例如 excel），您会看到您的 select离子没问题。

但是，我不知道如何解决我上面解释的问题。

请问有人能帮帮我吗？我很绝望。

非常感谢

Answer 1

要消除警告，请将 renderDT 更改为 DT::renderDataTable 并在其中设置 server = FALSE。

这里是完整的代码-

ui <- fluidPage(
  
  # Application title
  titlePanel("Old Faithful Geyser Data"),
  
  # Sidebar with a slider input for number of bins 
  sidebarLayout(
    sidebarPanel(
      radioButtons("type_select", "What do you want to select?",
                   c("Rows" = "Rows",
                     "Columns" = "Columns")),
      uiOutput("picker"),
      actionButton("view", "View Selection")
      
    ),
    
    # Show a plot of the generated distribution
    mainPanel(
      h2('Mydata'),
      DT::dataTableOutput("table"),
    )
  )
)

library(shiny)
library(DT)

server <- function(session, input, output) {
  
  data <- reactive({
    iris
  })
  
  output$picker <- renderUI({
    pickerInput(inputId = 'pick', 
                label = 'Choose', 
                choices = colnames(data()),
                options = list(`actions-box` = TRUE),multiple = T)
  })
  
  datasetInput <- eventReactive(input$view,{
    
    datasetInput <- data() %>% 
      select(input$pick)
    
    return(datasetInput)
    
  })
  
  output$table <- DT::renderDataTable(server = FALSE,{
    if(input$type_select == "Rows"){
      datatable(
        data(),
        selection = "none",
        filter="top", 
        rownames = FALSE,
        extensions = c("Buttons", "Select"),
        
        options = list(
          select = TRUE,
          dom = 'Blfrtip',
          buttons =
            list('copy', 'print', list(
              extend = 'collection',
              buttons = list(
                list(extend = 'csv', filename = "File", title = NULL,
                     exportOptions = list(modifier = list(selected = TRUE))),
                list(extend = 'excel', filename = "File", title = NULL,
                     exportOptions = list(modifier = list(selected = TRUE)))),
              text = 'Download'
            ))
        ),
        class = "display"
      )
    }else{
      datatable(
        datasetInput(),
        filter="top", 
        rownames = FALSE,
        extensions = 'Buttons',
        
        options = list(
          dom = 'Blfrtip',
          buttons =
            list('copy', 'print', list(
              extend = 'collection',
              buttons = list(
                list(extend = 'csv', filename = "File", title = NULL),
                list(extend = 'excel', filename = "File", title = NULL)),
              text = 'Download'
            ))
        ),
        class = "display"
      )
    }
  })
}


# Run the application 
shinyApp(ui = ui, server = server)

Answer 2

我找到了所有问题的完整解决方案：

警告（感谢 Ronak Shah 的回答）

当我select“行”时，如何从“pickerInput”和操作按钮中隐藏“选择输入”。感谢这个。

library(shiny)
library(shinyWidgets)
library(dplyr)

ui <- fluidPage(

# Application title
titlePanel("Old Faithful Geyser Data"),

# Sidebar with a slider input for number of bins 
sidebarLayout(
  sidebarPanel(
    radioButtons("type_select", "What do you want to select?",
                 c("Rows" = "Rows",
                   "Columns" = "Columns")),

    conditionalPanel(
      condition = "input.type_select == 'Columns'",
      uiOutput("picker"),
      actionButton("view", "View Selection")        
    )

  ),

  # Show a plot of the generated distribution
  mainPanel(
    h2('Mydata'),
    DT::dataTableOutput("table"),
  )
)
)


library(shiny)
library(DT)

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

data <- reactive({
  iris
})

output$picker <- renderUI({
  pickerInput(inputId = 'pick', 
              label = 'Choose', 
              choices = colnames(data()),
              options = list(`actions-box` = TRUE),multiple = T)
})

datasetInput <- eventReactive(input$view,{

  datasetInput <- data() %>% 
    select(input$pick)

  return(datasetInput)

})

output$table <- DT::renderDataTable(server = FALSE,{
  if(input$type_select == "Rows"){
    datatable(
      data(),
      selection = "none",
      filter="top", 
      rownames = FALSE,
      extensions = c("Buttons", "Select"),

      options = list(
        select = TRUE,
        dom = 'Blfrtip',
        buttons =
          list('copy', 'print', list(
            extend = 'collection',
            buttons = list(
              list(extend = 'csv', filename = "File", title = NULL,
                   exportOptions = list(modifier = list(selected = TRUE))),
              list(extend = 'excel', filename = "File", title = NULL,
                   exportOptions = list(modifier = list(selected = TRUE)))),
            text = 'Download'
          ))
      ),
      class = "display"
    )
  }else{
    datatable(
      datasetInput(),
      filter="top", 
      rownames = FALSE,
      extensions = 'Buttons',

      options = list(
        dom = 'Blfrtip',
        buttons =
          list('copy', 'print', list(
            extend = 'collection',
            buttons = list(
              list(extend = 'csv', filename = "File", title = NULL),
              list(extend = 'excel', filename = "File", title = NULL)),
            text = 'Download'
          ))
      ),
      class = "display"
    )
  }
})
}


# Run the application 
shinyApp(ui = ui, server = server)

添加条件面板后的一些截图：

如果你 select 行...

如果您 select 列...

警告。如果您只想 select X 列来下载它们，则此解决方案不起作用（例如，您只想下载 25 个条目，但如果您下载文件，则不会有 25 个条目，你将拥有一切。

如何在 Shiny 中 select 行和列并使用 DT 进行过滤？

How to select rows and columns and filter with DT in Shiny?

r

shiny

datatable

dt

pickerinput