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ggplotly crashes when AGG is required as graphical engine #2286

@tvedebrink

Description

@tvedebrink

I'm developing Shiny apps in a platform, where the graphical engine in RStudio (browser version) needs to be AGG.
When making interactive plots with ggplotly the app crashes when running from RStudio with the following error message:

Listening on http://127.0.0.1:7615
Warning: Error in dev_fun: X11 is not available
  106: dev_fun
  105: gg2list
  104: ggplotly.ggplot
  103: ggplotly
  102: %>%
  101: renderPlotly [/PATH_TO_APP/app.R#77]
  100: func
   97: shinyRenderWidget
   96: func
   83: renderFunc
   82: output$distggPlotly
    1: runApp

The static plots in the app are working fine, but the plotly variant causes the problem (see below).

app.R file

library(shiny)
library(tidyverse)
library(plotly)

ui <- fluidPage(

    titlePanel("Old Faithful Geyser Data"),

    sidebarLayout(
        sidebarPanel(
            sliderInput("bins", "Number of bins:", min = 1, max = 50, value = 30)
        ),

        mainPanel(
           plotOutput("distPlot"),
           plotOutput("distggPlot"),
           plotlyOutput("distggPlotly")
        )
    )
)

server <- function(input, output) {
  output$distPlot <- renderPlot({
      x    <- faithful[, 2]
      bins <- seq(min(x), max(x), length.out = input$bins + 1)

      hist(x, breaks = bins, col = 'darkgray', border = 'white',
           xlab = 'Waiting time to next eruption (in mins)',
           main = 'Histogram of waiting times')
  })
    
  output$distggPlot <- renderPlot({
    x    <- faithful[, 2]
    bins <- seq(min(x), max(x), length.out = input$bins + 1)
    
    faithful %>% ggplot(aes(x = waiting)) +
      geom_histogram(breaks = bins, fill = 'darkgray', colour = 'white') + 
      labs(x = 'Waiting time to next eruption (in mins)',
           title = 'Histogram of waiting times')
  })
    
  output$distggPlotly <- renderPlotly({
    x    <- faithful[, 2]
    bins <- seq(min(x), max(x), length.out = input$bins + 1)
    
    gg_hist <- faithful %>% ggplot(aes(x = waiting)) +
      geom_histogram(breaks = bins, fill = 'darkgray', colour = 'white') + 
      labs(x = 'Waiting time to next eruption (in mins)',
           title = 'Histogram of waiting times')
    gg_hist %>% ggplotly()
  })
    
}

shinyApp(ui = ui, server = server)

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