Question

我正在使用R / Shiny应用程序，其功能之一应该是基于某些过滤器导出数据。但是过滤器相互依赖。考虑公司列表，每个公司都有一些团队或部门，这些可以位于不同的国家。用户可以通过三个下拉菜单（selectInput）过滤要导出的数据，但我希望在选择一个维度（即组）时，在下拉列表中为其他两个维度（即部门和国家/地区）选择）相应更新。但是，对第二维（即部门）进行过滤应缩小选择范围，而不是更新所有selectInput的选择。

下面的代码是我能够达到所需输出的最接近的代码。但是有两个问题。首先，过滤第二维不会缩小选择范围，但也会更新选项第一个选定的维度。其次，尽管有选择更新后的选择不会保留在剩余的输入字段中空白。

知道如何解决这个问题吗？

修改

以下代码几乎正常运作。现在没有问题首先选择哪个维度，其余两个维度的选择是否正确更新，而第二个维度的筛选确实缩小了选择范围。但是，尽管multiple = TRUE，但我无法为每个selectInput选择多个项目。

关于如何解决这个问题的任何想法？

library(shiny)
library(dplyr)

## Create dataframe
group <- rep(toupper(letters[1:3]),each=3)
department <- c("a","b","c","a","b","d","b","c","d")
country <- c("IT","FR","DE","IT","DE","HU","HU","FR","FR")
df <- data.frame(group, department, country)


## Simple user interface with 3 selectInput
ui <- fluidPage(
  selectInput('group', 'Group:', df$group, multiple=TRUE, selectize=T),
  selectInput('dept', 'Department:', df$department, multiple=TRUE, selectize=T),
  selectInput('country', 'Country:', df$country, multiple=TRUE, selectize=T),
  tableOutput("table1")
)


filter_names <- c("input$group", "input$dept", "input$country")
filters <- c("group %in% input$group", "department %in% input$dept","country %in% input$country")
checknull <- NULL


server=function(input,output,session) {

  ## reactive block to update the choices in the select input fields
  choices <- reactive({
    for (i in seq_along(filter_names)) {
      checknull[i] <- eval(parse(text=paste0("!is.null(", filter_names[i], ")",sep="")))
    }

    req(filters[checknull])
    tmp <- eval(parse(text=paste0("filter(df, ", paste0(filters[checknull], collapse = " & "), ")")))
    return(tmp)
  })

  ## updateSelectInput
  observe({
    updateSelectInput(session,'group', choices=sort(unique(choices()$group)), selected = input$group)
    updateSelectInput(session,'dept', choices=sort(unique(choices()$department)), selected = input$dept)
    updateSelectInput(session,'country', choices=sort(unique(choices()$country)), selected = input$country)
  })

 output$table1 <- renderTable({df})
}

shinyApp(ui,server)

Answer 1

我一直在寻找类似问题的解决方案并遇到了这个问题。

感谢几乎可以运作的例子！我刚切换到selectizeInput，它似乎对我有用。如果您还在研究这个问题，这是否符合您的需求？

但是，有一个问题是，由于选择已经消失，因此无法回复并重新过滤。我添加了一个重置过滤器按钮来解决这个问题。

library(shiny)
library(dplyr)

## Create dataframe
group <- rep(toupper(letters[1:3]),each=3)
department <- c("a","b","c","a","b","d","b","c","d")
country <- c("IT","FR","DE","IT","DE","HU","HU","FR","FR")
df <- data.frame(group, department, country)


## Simple user interface with 3 selectInput
ui <- fluidPage(
  selectizeInput('group', 'Group:', df$group, selected=df$group, multiple=TRUE),
  selectizeInput('dept', 'Department:', df$department, selected=df$department, multiple=TRUE),
  selectizeInput('country', 'Country:', df$country, selected=df$country, multiple=TRUE),
  actionButton("reset_filters", "Reset filters"),
  tableOutput("table1")
)


filter_names <- c("input$group", "input$dept", "input$country")
filters <- c("group %in% input$group", "department %in% input$dept","country %in% input$country")
checknull <- NULL


server=function(input,output,session) {

  ## reactive block to update the choices in the select input fields
  choices <- reactive({
    for (i in seq_along(filter_names)) {
      checknull[i] <- eval(parse(text=paste0("!is.null(", filter_names[i], ")",sep="")))
    }

    req(filters[checknull])
    tmp <- eval(parse(text=paste0("filter(df, ", paste0(filters[checknull], collapse = " & "), ")")))
    return(tmp)
  })

  ## updateSelectInput
  observe({
    updateSelectizeInput(session,'group', choices=sort(unique(choices()$group)), selected=sort(unique(choices()$group)))
    updateSelectizeInput(session,'dept', choices=sort(unique(choices()$department)), selected=sort(unique(choices()$department)))
    updateSelectizeInput(session,'country', choices=sort(unique(choices()$country)), selected=sort(unique(choices()$country)))
  })

  ## reset filters
  observeEvent(input$reset_filters, {
    updateSelectizeInput(session,'group', choices=df$group, selected=df$group)
    updateSelectizeInput(session,'dept', choices=df$department, selected=df$department)
    updateSelectizeInput(session,'country', choices=df$country, selected=df$country)
  })

  output$table1 <- renderTable({choices()})
}

shinyApp(ui,server)

R / Shiny应用程序中的三个相互依赖的selectInput

1 个答案: