Question

图像在R光泽下无法正确显示（空白图像显示），并且内部（外部）（app.R）运行
过去在此站点上发布的类似问题并不能提供足够的答案：通过app.R运行应用程序的解决方案对我来说并不能解决问题，图片仍然无法显示
：将图像添加到主面板中，都从Web的文档尝试（将图像转换为Web链接）。

我都试图通过文档（本地工作目录）包括图像，就像将图像转换为Web链接一样。

输出的外观：https://cdn1.imggmi.com/uploads/2019/4/24/d65ae8a21decc6adb1d14db9a3e9bf75-full.png

有人知道解决方案吗？如前所述，通过app.R运行应用程序不起作用，输出保持不变。

=OFFSET(B6;
MATCH(A2;Producten!$A:$A;0)-1;1;COUNTIF(Producten!$A:$A;A2);1)

Answer 1

您应该在服务器端抛出创建图像的代码，将其封装在您已命名的renderPlot（{}）函数中，然后在“ distPlot” plotOutput之后绘制输出。我无法使用您的img（src = ...）代码，因此我使用了在功能上与此相同的栅格图。一个缩小的示例如下：

library(shiny)
library(png)


ui <- fluidPage(
  mainPanel(
    plotOutput(outputId = "png")
  )
)

server <- function(input, output) {
  output$png <- renderPlot({
    pic = readPNG('path/to/image.png')
    plot.new()
    grid::grid.raster(pic)

  })
}

shinyApp(ui = ui, server = server)

将其放入您的代码中会得到：

library(shiny)
library(png)

# See above for the definitions of ui and server
library(shiny)
library(png)

# Define UI for app that draws a histogram ----
ui <- fluidPage(

  # App title ----
  titlePanel("Hello Shiny!"),

  # Sidebar layout with input and output definitions ----
  sidebarLayout(

    # Sidebar panel for inputs ----
    sidebarPanel(

      # Input: Slider for the number of bins ----
      sliderInput(inputId = "bins",
                  label = "Number of bins:",
                  min = 1,
                  max = 50,
                  value = 30)

    ),

    # Main panel for displaying outputs ----
    mainPanel(

      # Output: Histogram ----

      plotOutput(outputId = "distPlot"),
      ###Changed code here
      plotOutput(outputId = "png")


      ##output: png image 

    )
  )
)

server <- function(input, output) {

  # Histogram of the Old Faithful Geyser Data ----
  # with requested number of bins
  # This expression that generates a histogram is wrapped in a call
  # to renderPlot to indicate that:
  #
  # 1. It is "reactive" and therefore should be automatically
  #    re-executed when inputs (input$bins) change
  # 2. Its output type is a plot
  output$distPlot <- renderPlot({

    x    <- faithful$waiting
    bins <- seq(min(x), max(x), length.out = input$bins + 1)

    hist(x, breaks = bins, col = "#75AADB", border = "white",
         xlab = "Waiting time to next eruption (in mins)",
         main = "Histogram of waiting times")

  })

  ###New function
  output$png <- renderPlot({
    pic = readPNG('path/to/image.png')
    plot.new()
    grid::grid.raster(pic)

  })

}

shinyApp(ui = ui, server = server

)

...并显示：

图像在Rshiny中不显示

1 个答案: