Question

设置：我已经构建了一个带有两个图的闪亮应用程序。我使用flexdashboard - 包在两个选项卡中创建了两个图。此外，我在R-markdown中编写了整个闪亮应用程序。

现在我想创建一个用户可以对数据进行子集的接口。那部分本身有效。但是，在我做两个图之前，我还需要对子集化数据执行一些计算。

有什么办法可以将像mydata这样的子集化对象转换为数据帧吗？我的问题是我需要在其他图的UI部分中使用这个子集化对象。

编辑：我特别需要某种方式将我的选择从checkboxGroupInput传送到selectInput("cat_1"," category 1:",choices = levels(mydata()$mycat)。

### 1. Create some sample data
myrows<-sample(letters,12)
exdata<- data.frame(mycat=rep(myrows,2),yr=rep(1:2,each=12),KPI_1=rnorm(24),
                    KPI_2=round(runif(24,1,20)),KPI_3=rbinom(24,6,0.5))

### 2. UI part
fluidPage(fluidRow(
  checkboxGroupInput("comp", "Categories",myrows,myrows,inline=TRUE),
  actionButton("go", "Update"),
  textOutput("txt"),
  tableOutput("head"))
)

### 3. Server part
mydata<-eventReactive(input$go,{
  res<-subset(exdata,mycat%in%input$comp)
  return(res)
  })

  output$txt <- renderText({
     paste("You chose", paste(input$comp, collapse = ", "))
   })
   output$head <- renderTable({
   mydata()
   })

在下一个块中，我这样做：

library(plotly)
library(shiny)

### 4. UI part of my plot
fluidRow(sidebarLayout(sidebarPanel(
           selectInput("cat_1",
                       "  category 1:",
                       choices = levels(mydata()$mycat),
                       selected = levels(mydata()$mycat)[1]),
           selectInput("cat_2",
                       "  category 2:",
                       choices = levels(mydata()$mycat),
                       selected = levels(mydata()$mycat)[2])),
           mainPanel(plotlyOutput("plot3", height = 300, width = 700))))

  ### 5. Server part of my plot
  output$plot3 <- renderPlotly({
  ## 5.1 Create plot data      
      cat1<-input$cat_1
      cat2<-input$cat_2
      y1<-as.numeric(mydata()[mydata()$mycat==cat1])
      y2<-as.numeric(mydata()[mydata()$mycat==cat2])
      x0<-c(1,2)

  ## 5.2 Do plot
  plot_ly(x = x0,y = y1, type="scatter",mode='lines+markers',name=Firm1) %>%
  add_trace(y = y2, name = Firm2, mode = 'lines+markers') %>%
            layout(dragmode = "select")

Answer 1

我花了一些时间来弄清楚你的代码。所以：

1）使用renderUI，这将允许您动态创建控件

2）坚持一个ui

3）确保您了解renderPlotly以及您要绘制的内容

library(shiny)
library(plotly)

### 1. Create some sample data
myrows<-sample(letters,12)
exdata<- data.frame(mycat=rep(myrows,2),yr=rep(1:2,each=12),KPI_1=rnorm(24),
                    KPI_2=round(runif(24,1,20)),KPI_3=rbinom(24,6,0.5))


ui <- fluidPage(

  sidebarPanel(
    uiOutput("c1"),uiOutput("c2")),
  mainPanel(
    column(6,
    checkboxGroupInput("comp", "Categories",myrows,myrows,inline=TRUE),
    actionButton("go", "Update"),
    textOutput("txt"),
    tableOutput("head")),
    column(6,
    plotlyOutput("plot3", height = 300, width = 700)))
)

server <- function(input, output) {
  ### 3. Server part
  mydata <- eventReactive(input$go,{
    res<-subset(exdata,mycat%in%input$comp)
    return(res)
  })

  output$txt <- renderText({
    paste("You chose", paste(input$comp, collapse = ", "))
  })
  output$head <- renderTable({
    mydata()
  })

  conrolsdata <- reactive({
    unique(as.character(mydata()$mycat))
  })
  output$c1 <- renderUI({
    selectInput("cat_1", "Variable:",conrolsdata())
  })

  output$c2 <- renderUI({
    selectInput("cat_2", "Variable:",conrolsdata())
  })


  output$plot3 <- renderPlotly({

    if(is.null(input$cat_1)){
      return()
    }

    y1<- mydata()$KPI_1[as.character(mydata()$mycat) %in% input$cat_1]
    y2<- mydata()$KPI_2[as.character(mydata()$mycat) %in% input$cat_2]
    x0<-c(1,2)
     #use the key aesthetic/argument to help uniquely identify selected observations
     plot_ly(x = x0,y = y1, type="scatter",mode='lines+markers',name="Firm1") %>%
       add_trace(y = y2, name = "Firm2", mode = 'lines+markers') %>%
       layout(dragmode = "select")
  })

}

shinyApp(ui, server)

基于闪亮的反应子集数据动态选择输入

1 个答案: