在 R 中使用 plotly_click 更新多个信息框并绘制

Question

如果你喜欢运行脚本，它会为你提供 R 中的基本桑基图和 plotly 以及数据 table 此外。此外，顶部还有三个信息框。当我单击图中的 Sankey 线时，我看到数据中的值 table 使用 plotly_click。当我点击任何 Sankey Line 时我想要一个功能，它选择数据中的 "pointNumber" 列值 table 然后乘以 2 并放入第一个信息框，在第二个信息框中乘以 3，然后乘以 4在附加的快照中的第三个信息框中。谢谢，请帮忙。

## app.R ##
library(shiny)
library(shinydashboard)
library(devtools)
library(ggplot2)
library(plotly)
library(proto)
library(RColorBrewer)
library(gapminder)
library(stringr)
library(broom)
library(mnormt)
library(DT)

ui <- dashboardPage(
dashboardHeader(title = "Multiple hover"),
dashboardSidebar(
width = 0
),
dashboardBody(

infoBox("Multiply by 2", 2 * 2, icon = icon("credit-card")),
infoBox("Multiply by 3", 2 * 3, icon = icon("credit-card")),
infoBox("Multiply by 4", 2 * 4, icon = icon("credit-card")),
tags$br(),

box(title = "Sankey Chart", status = "primary",height = "455" ,solidHeader = 
T,
plotlyOutput("sankey_plot")),

box( title = "Case Summary", status = "primary", height = "455",solidHeader 
= T, 
     dataTableOutput("sankey_table"))
)
)
server <- function(input, output) 
{ 
output$sankey_plot <- renderPlotly({
trace1 <- list(
  domain = list(
    x = c(0, 1), 
    y = c(0, 1)
  ), 
  link = list(
    label = c("Case1", "Case2", "Case3", "Case4", "Case5", "Case6", 
  "Case7"), 
    source = c(0, 1, 2, 3, 4, 5, 6, 7), 
    target = c(11, 12, 7, 10, 13, 9, 8), 
    value = c(5, 6, 2, 4, 10, 6, 2)
  ), 
  node = list(label = c("R1", "R2", "R3","R4","R5","R6","R7","Blood 
  Test","Check Out","Discuss Results",
                        "MRI Scan", "Registration", "Triage and Assessment", 
  "X-RAY")), 
  type = "sankey"
  )
  data <- list(trace1)
  p <- plot_ly()
  p <- add_trace(p, domain=trace1$domain, link=trace1$link, 
  node=trace1$node, type=trace1$type)
  p
  })
  output$sankey_table <- renderDataTable({
  d <- event_data("plotly_click")
  if(is.null(d)) 
  {
  print("Hello, Please hover to see the result" )
  } else 
  d
  })
  }
  shinyApp(ui, server)

Answer 1

考虑到 event_data() 输出数据帧，下面的代码访问该特定值 pointNumber 并呈现动态 UI。

代码：

## app.R ##
library(shiny)
library(shinydashboard)
library(devtools)
library(ggplot2)
library(plotly)
library(proto)
library(RColorBrewer)
library(gapminder)
library(stringr)
library(broom)
library(mnormt)
library(DT)

ui <- dashboardPage(
  dashboardHeader(title = "Multiple hover"),
  dashboardSidebar(
    width = 0
  ),
  dashboardBody(

    uiOutput('box1'),
    tags$br(),

    box(title = "Sankey Chart", status = "primary",height = "455" ,solidHeader = 
          T,
        plotlyOutput("sankey_plot")),

    box( title = "Case Summary", status = "primary", height = "455",solidHeader 
         = T, 
         dataTableOutput("sankey_table"))
  )
)
server <- function(input, output) 
{ 
  output$sankey_plot <- renderPlotly({
    trace1 <- list(
      domain = list(
        x = c(0, 1), 
        y = c(0, 1)
      ), 
      link = list(
        label = c("Case1", "Case2", "Case3", "Case4", "Case5", "Case6", 
                  "Case7"), 
        source = c(0, 1, 2, 3, 4, 5, 6, 7), 
        target = c(11, 12, 7, 10, 13, 9, 8), 
        value = c(5, 6, 2, 4, 10, 6, 2)
      ), 
      node = list(label = c("R1", "R2", "R3","R4","R5","R6","R7","Blood 
                            Test","Check Out","Discuss Results",
                            "MRI Scan", "Registration", "Triage and Assessment", 
                            "X-RAY")), 
      type = "sankey"
    )
    data <- list(trace1)
    p <- plot_ly()
    p <- add_trace(p, domain=trace1$domain, link=trace1$link, 
                   node=trace1$node, type=trace1$type)
    p
  })
  output$sankey_table <- renderDataTable({
    d <- event_data("plotly_click")
    if(is.null(d)) 
    {
      print("Hello, Please hover to see the result" )
    } else 
      d
  })

  output$box1 <- renderUI({
   tagList(

     infoBox("Multiply by 2", event_data("plotly_click")$pointNumber * 2, icon = icon("credit-card")),
     infoBox("Multiply by 3", event_data("plotly_click")$pointNumber * 3, icon = icon("credit-card")),
     infoBox("Multiply by 4", event_data("plotly_click")$pointNumber * 4, icon = icon("credit-card")) 
   )


  })

}
shinyApp(ui, server)

截图：

在 R 中使用 plotly_click 更新多个信息框并绘制

Updating multiple infobox using plotly_click in R and plotly

r

shiny

plotly

shinydashboard