这是我的代码:

library(shiny)
library(ggplot2)
library(ggiraph)

df <- data.frame(achseX = LETTERS[1:24], achseY = 1:24, facetX = as.factor(rep(1:4, each = 6)))

server <- function(input, output) {
  output$ggplot <- renderPlot({
    ggplot(data = df) + geom_bar_interactive(aes(tooltip = achseY, x = achseX, y = achseY), stat = "identity") +
      theme_minimal() + facet_grid(.~ facetX, scales = "free_x")
  })


  output$plot <- renderggiraph({
    gg <- ggplot(data = df) + geom_bar_interactive(aes(tooltip = achseY, x = achseX, y = achseY), stat = "identity") +
      theme_minimal() + facet_grid(.~ facetX, scales = "free_x")
    return(ggiraph(code = print(gg), selection_type = "multiple", zoom_max = 4,
                   hover_css = "fill:#FF3333;stroke:black;cursor:pointer;",
                   selected_css = "fill:#FF3333;stroke:black;"))
  })
}

ui <- fluidPage(
  "GGPLOT2:",
  plotOutput("ggplot"),
  "GGIRAPH:",
  ggiraphOutput("plot", width = "500px", height = "1000px")
)

shinyApp(ui = ui, server = server)


结果看起来像:
r - ggiraph图无法调整大小以适合页面-LMLPHP

正如您在代码中看到的那样,第一个barplot是一个ggplot,其工作方式应为应有的状态。它对站点响应并具有矩形格式。 ggiraph保留为正方形格式,而不适合页面。


我怎样才能使ggiraph看起来像ggplot?


我尝试了width和height参数的几种组合,还包括width = "auto"height = "auto"。这使ggiraph适合页面,但仍为正方形格式。

最佳答案

您可以在其中添加一些js代码来使ui响应。与this答案相似的东西。

区别在于ggiraph函数需要以英寸为单位的输入,因此我们需要将像素转换为英寸。公式为inches = pixels/dpi。因此,ui中的js代码会传递窗口高度以及屏幕的dpi,从中我们可以计算出以英寸为单位的长度,然后可以将其传递给ggiraph函数,从而使绘图响应ui 。

我已经修改了您的示例以做到这一点。希望能帮助到你!

 library(shiny)
 library(ggplot2)
 library(ggiraph)

 df <- data.frame(achseX = LETTERS[1:24], achseY = 1:24, facetX = as.factor(rep(1:4, each = 6)))

 server <- function(input, output, session) {
   output$ggplot <- renderPlot({
     ggplot(data = df) + geom_bar_interactive(aes(tooltip = achseY, x = achseX, y = achseY), stat = "identity") +
       theme_minimal() + facet_grid(.~ facetX, scales = "free_x")
   })


   output$plot <- renderggiraph({
     gg <- ggplot(data = df) + geom_bar_interactive(aes(tooltip = achseY, x = achseX, y = achseY), stat = "identity") +
       theme_minimal() + facet_grid(.~ facetX, scales = "free_x")
     return(ggiraph(code = print(gg), selection_type = "multiple", zoom_max = 4,
                    hover_css = "fill:#FF3333;stroke:black;cursor:pointer;",
                    selected_css = "fill:#FF3333;stroke:black;",
                    width_svg = (0.8*input$pltChange$width/input$pltChange$dpi),
                    height_svg = (0.5*input$pltChange$height/input$pltChange$dpi)
                    ))
   })
 }

 ui <- fluidPage(

   tags$body(tags$div(id="ppitest", style="width:1in;visible:hidden;padding:0px")),

   tags$script('$(document).on("shiny:connected", function(e) {
                                    var w = window.innerWidth;
                                    var h = window.innerHeight;
                                    var d =  document.getElementById("ppitest").offsetWidth;
                                    var obj = {width: w, height: h, dpi: d};
                                    Shiny.onInputChange("pltChange", obj);
                                });
                                $(window).resize(function(e) {
                                    var w = $(this).width();
                                    var h = $(this).height();
                                    var d =  document.getElementById("ppitest").offsetWidth;
                                    var obj = {width: w, height: h, dpi: d};
                                    Shiny.onInputChange("pltChange", obj);
                                });
                            '),


   "GGPLOT2:",
   plotOutput("ggplot"),
   "GGIRAPH:",
   ggiraphOutput("plot")
 )

 shinyApp(ui = ui, server = server)

08-24 12:14