r - 从 Shiny ggplot 中的点击创建数据集

Question

我是一个 Shiny 的新手，但我正在尝试在我正在从事的项目中使用它。我希望能够通过点击 ggplot 图上的一个点来做两件事:在指定点添加一个绘图字符(以侧边栏的信息为条件)，并将坐标(来自侧边栏的信息)添加到一个数据框。到目前为止，这是我在代码方面的内容:

library(shiny)
library(ggplot2)

df = data.frame()


ui = pageWithSidebar(
  headerPanel("Test"),

  sidebarPanel(
    radioButtons("orientation", "Pick", c("L", "P", "H")),

    selectInput(
      "select1",
      "Select Here:",
      c("Option 1", "Option 2")
    ),

    selectInput(
      "select2",
      "Select Here:",
      c("Option 3", "Option 4"),
    ),

    radioButtons("type", "Type:", c("P", "S")),

    radioButtons("creator", "Creator?", c("H", "A"))
  ),

  mainPanel(
    plotOutput("plot1", click = "plot_click"),
    verbatimTextOutput("info"),
    actionButton("update", "Add Event")
  )
)

server = function(input, output){

  output$plot1 = renderPlot({
    ggplot(df) + geom_rect(xmin = 0, xmax = 100, ymin = 0, ymax = 50, fill = "red")
  })

  output$info = renderText({
    paste0("x = ", input$plot_click$x, "\ny = ", input$plot_click$y)
  })
}

shinyApp(ui, server)

我对如何从 plot_click 添加点击的 x 和 y 点感到困惑至 df这样我就可以将数据添加到更大的数据库中。任何帮助将不胜感激，如果需要，我很乐意提供有关该项目的更多信息!

Answer 1

这是您可以使用的通用框架:

使用 reactiveValues()为 x 设置一个带有列的响应式(Reactive) data.frame , y , inputs

使用具有基于 input 的绘图特征的 react 性 data.frame 创建绘图

单击绘图后，使用 observeEvent 向 react 性 data.frame 添加新行

(可选)添加 actionButton删除最后添加的点

基于您的代码的简化示例如下。该表基于 this answer .

library(shiny)
library(ggplot2)

ui <- pageWithSidebar(
    headerPanel("Example"),
    sidebarPanel(
        radioButtons("color", "Pick Color", c("Pink", "Green", "Blue")),
        selectInput("shape", "Select Shape:", c("Circle", "Triangle"))
    ),
    mainPanel(
        fluidRow(column(width = 6,
                        h4("Click plot to add points"),
                        actionButton("rem_point", "Remove Last Point"),
                        plotOutput("plot1", click = "plot_click")),
                 column(width = 6,
                        h4("Table of points on plot"),
                        tableOutput("table")))
    )
)

server = function(input, output){

    ## 1. set up reactive dataframe ##
    values <- reactiveValues()
    values$DT <- data.frame(x = numeric(),
                            y = numeric(),
                            color = factor(),
                            shape = factor())

    ## 2. Create a plot ##
    output$plot1 = renderPlot({
       ggplot(values$DT, aes(x = x, y = y)) +
            geom_point(aes(color = color,
                           shape = shape), size = 5) +
            lims(x = c(0, 100), y = c(0, 100)) +
            theme(legend.position = "bottom") +
            # include so that colors don't change as more color/shape chosen
            scale_color_discrete(drop = FALSE) +
            scale_shape_discrete(drop = FALSE)
    })

    ## 3. add new row to reactive dataframe upon clicking plot ##
    observeEvent(input$plot_click, {
        # each input is a factor so levels are consistent for plotting characteristics
        add_row <- data.frame(x = input$plot_click$x,
                              y = input$plot_click$y,
                              color = factor(input$color, levels = c("Pink", "Green", "Blue")),
                              shape = factor(input$shape, levels = c("Circle", "Triangle")))
        # add row to the data.frame
        values$DT <- rbind(values$DT, add_row)
    })

    ## 4. remove row on actionButton click ##
    observeEvent(input$rem_point, {
        rem_row <- values$DT[-nrow(values$DT), ]
        values$DT <- rem_row
    })

    ## 5. render a table of the growing dataframe ##
    output$table <- renderTable({
        values$DT
    })
}

shinyApp(ui, server)