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将事件数据信息映射到有光泽反应图中的绘图信息

shiny-reactivity shinydashboard shiny r

1

Prradep · 技术社区 · 7 年前

library(plotly)
library(shiny)

ui <- fluidPage(
  plotlyOutput("plot"),
  verbatimTextOutput("click")
)

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

  output$plot <- renderPlotly({
    key <- row.names(mtcars)
    p <- ggplot(mtcars, aes(x = mpg, y = wt, colour = factor(vs), key = key)) + 
        geom_point()
    ggplotly(p) %>% layout(dragmode = "select")

  })


  output$click <- renderPrint({
    d <- event_data("plotly_click")
    if (is.null(d)) "Click events appear here (double-click to clear)" else d
  })


}

shinyApp(ui, server)

  curveNumber pointNumber    x    y       key
1           1           3 24.4 3.19 Merc 240D

有没有办法将这些信息映射到原始数据集 mtcars ? 信息将如何在 curveNumber , pointNumber

1 回复 | 直到 7 年前

1

Patrik_P 7 年前

这个 curveNumber 是 colour = factor(vs) pointNumber 是组内的行号+1(vs的0或1)。

library(plotly)
library(shiny)
library(dplyr)
ui <- fluidPage(
  plotlyOutput("plot"),
  verbatimTextOutput("click")
)
server <- function(input, output, session) {
  output$plot <- renderPlotly({
    key <- row.names(mtcars)
    p <- ggplot(mtcars, aes(x = mpg, y = wt, colour = factor(vs), key = key)) + 
      geom_point()
    ggplotly(p) %>% layout(dragmode = "select")
  })
  output$click <- renderPrint({
    d <- event_data("plotly_click")
    if (is.null(d)) "Click events appear here (double-click to clear)" else mtcars %>% tibble::rownames_to_column() %>% filter(vs==d$curveNumber) %>% filter(row_number()==d$pointNumber+1)

  })
}
shinyApp(ui, server)

或者,第二个选项,您需要提取 key 从…起 event_data

output$click <- renderPrint({
    d <- event_data("plotly_click")
    if (is.null(d)) "Click events appear here (double-click to clear)" 
    else mtcars[rownames(mtcars) == d$key,]
  })

完整的应用程序:

library(plotly)
library(shiny)
ui <- fluidPage(
  plotlyOutput("plot"),
  verbatimTextOutput("click")
)
server <- function(input, output, session) {
  output$plot <- renderPlotly({
    key <- row.names(mtcars)
    p <- ggplot(mtcars, aes(x = mpg, y = wt, colour = factor(vs), key = key)) + 
      geom_point()
    ggplotly(p) %>% layout(dragmode = "select")
  })
  output$click <- renderPrint({
    d <- event_data("plotly_click")
    if (is.null(d)) "Click events appear here (double-click to clear)" else mtcars[rownames(mtcars) == d$key,]
  })
}
shinyApp(ui, server)