可点击饼图以选择条形图的数据

时间:2015-08-27 19:11:33

标签: r highcharts shiny nvd3.js rcharts

我想显示饼图很多年,用户可以点击其中一个切片来选择一个类别来绘制条形图,以便更容易地看到年度变化那个类别。单击切片将有效地执行selectInput在以下脚本中执行的操作:

library(rCharts)
library(shiny)

Year1 <- c(1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5)
Year2 <- c(1,1,2,2,2,2,3,3,3,3,3,4,4,4,4,5,5,5,5,5)
Year3 <- c(1,2,2,2,2,2,3,3,3,3,3,3,4,4,4,4,4,5,5,5)
data <- data.frame(Year1,Year2,Year3)


shinyApp(
  ui = fluidPage(
    showOutput("p1", lib = "nvd3"),
    showOutput("p2", lib = "nvd3"),
    showOutput("p3", lib = "nvd3"),
    selectInput("selected","Select group to graph:",
                choices = c(1:5),
                multiple = FALSE,
                selected = 1),
    showOutput("bar", lib = "highcharts")
  ),
  server = function(input, output){
    output$p1 <- renderChart2({
      nPlot(~ Year1, data = data, type = 'pieChart')
    })

    output$p2 <- renderChart2({
      nPlot(~ Year2, data = data, type = 'pieChart')
    })

    output$p3 <- renderChart2({
      nPlot(~ Year3, data = data, type = 'pieChart')
    })

    data2 <- reactive({
      data.frame(Year1 = as.data.frame(table(data$Year1))[input$selected,2],
                 Year2 = as.data.frame(table(data$Year2))[input$selected,2],
                 Year3 = as.data.frame(table(data$Year3))[input$selected,2]
      )
    })

    output$bar <- renderChart2({
      a <- rCharts:::Highcharts$new()
      a$chart(type = "column")
      a$title(text = "Bar Chart")
      a$xAxis(title = list(text = "Yearly Data"))
      a$yAxis(title = list(text = "Count"))
      a$data(data2())
      a
    })    
  }
)

非常感谢任何帮助。如果有更合适的话,我不反对使用其他软件包。

1 个答案:

答案 0 :(得分:1)

this启发,您可以添加自定义工具提示功能,在您点击饼图时添加点击事件:

tooltip_function="#! function(key, x, y, e ){ 
                        d3.selectAll('[class*=\"nv-slice\"]').on('click',function(){
                        Shiny.onInputChange('selected_cat',key)})
                        return '<h3>' + key + '</h3>' + '<p>'+ x +'</p>' 
                } !#"

Shiny.onInputChangeselected_cat绑定到key的值,这是用户点击的饼图的名称。然后,您可以使用input$selected_catserver.R中获取该值。

需要修改renderChart2以添加工具提示功能(例如第一个):

 output$p1 <- renderChart2({
                        n1 <- nPlot(~ Year1, data = data, type = 'pieChart')
                        n1$chart(tooltipContent = tooltip_function)
                        n1
                })

data2

 data2 <- reactive({
                        data.frame(Year1 = as.data.frame(table(data$Year1))[input$selected_cat,2],
                                   Year2 = as.data.frame(table(data$Year2))[input$selected_cat,2],
                                   Year3 = as.data.frame(table(data$Year3))[input$selected_cat,2]
                        )
                })
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