[英]invalid quartz() device size when suspendWhenHidden is added
I have an app such that after a user has selected input in tab 1, the app will redirect the user to tab 2, where a plot is generated based on the input selected in tab 1. I added suspendWhenHidden = FALSE
so that the plot will be generated before the user is redirected to tab 2. However, when I added the following line of code, outputOptions(output, "mtcarsplot", suspendWhenHidden = FALSE)
, the console shows a warning.我有一个应用程序,当用户在选项卡 1 中选择输入后,该应用程序会将用户重定向到选项卡 2,其中基于选项卡 1 中选择的输入生成 plot。我添加了
suspendWhenHidden = FALSE
以便 plot 将在用户被重定向到选项卡 2 之前生成。但是,当我添加以下代码行outputOptions(output, "mtcarsplot", suspendWhenHidden = FALSE)
时,控制台会显示警告。
Can anyone explain/solve the error in the code?谁能解释/解决代码中的错误? Thanks for the help.
谢谢您的帮助。 I have added the code and then the warning message below.
我已经添加了代码,然后是下面的警告消息。
the app's code (MWE):应用程序代码(MWE):
data(mtcars)
ui <- fluidPage(
navbarPage(title = "Plotting", id = "mtcars",
tabPanel(title = "home",
selectInput(inputId = "col", label = "Choose a column", choices = names(mtcars)),
actionButton(inputId = "update", label = "Update")
),
tabPanel(title = "plot",
plotOutput("mtcarsplot"),
actionButton(inputId = "back", label = "Back")
))
)
server <- function(input, output, session) {
observeEvent(input$update, {
updateTabsetPanel(session = session, inputId = "mtcars", selected = "plot")
})
col <- eventReactive(input$update, {
input$col
})
observeEvent(input$back, {
updateTabsetPanel(session = session, inputId = "mtcars", selected = "home")
})
mtcars_new <- reactive({
mtcars %>%
select(mpg, userscol = col())
})
mtcars_plot <- reactive({
ggplot(data = mtcars_new(), aes(x = mpg, y = userscol)) +
geom_point()
})
output$mtcarsplot <- renderPlot({mtcars_plot()})
outputOptions(output, "mtcarsplot", suspendWhenHidden = FALSE)
}
shinyApp(ui = ui, server = server)
The Warning message:警告信息:
Warning: Error in <Anonymous>: invalid quartz() device size
128: <Anonymous>
126: startPNG
125: drawPlot
111: <reactive:plotObj>
95: drawReactive
82: renderFunc
81: output$mtcarsplot
1: runApp
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