Add a button to take a screenshot of a specified element and download a PDF file.
Usage
capture_pdf(
selector,
filename,
...,
margins = 15,
scale = NULL,
options = NULL,
loading = NULL,
statusInputId = NULL,
button_class = "btn btn-default"
)
Arguments
- selector
A CSS selector, for example
body
to target the whole page or#<ID>
to target a specific output.- filename
Name of the file (without extension) that will be created. If
NULL
no file is downloaded client side.- ...
Arguments passed to HTML button.
- margins
Margins to add to PDF.
- scale
Scale factor applied to image's dimension. Can be used to get a higher resolution image.
- options
Options (as a list) passed to html-to-image method, for example you can use
backgroundColor
to set background color.- loading
Add a loading indicator if taking screenshot take time, see
loading()
for usage.- statusInputId
Retrieve status information in an
input
value server-side with following structure:list(status = "started|finished|error", timestamp = <POSIX timestamp>)
.Class to use for the HTML tag
<button>
Examples
library(shiny)
library(capture)
ui <- fluidPage(
tags$h2("Capture PDF example"),
capture_pdf(
selector = "body",
filename = "all-page",
icon("camera"), "Take screenshot of all page",
loading = loading()
),
tags$br(),
fluidRow(
column(
width = 4,
wellPanel(
tags$b("Parameters :"),
selectInput(
inputId = "loi",
label = "Law:",
choices = c("normal", "uniform", "exponential")
)
)
),
column(
width = 8,
tags$div(
id = "result-block",
tags$b("Results :"),
plotOutput(outputId = "plot"),
uiOutput(outputId = "mean"),
verbatimTextOutput(outputId = "raw")
),
capture_pdf(
selector = "#result-block",
filename = "results",
icon("camera"), "Take screenshot of results"
),
capture_pdf(
selector = "#result-block",
filename = "results",
scale = 3,
icon("camera"), "Take screenshot of results (bigger scale)"
)
)
)
)
server <- function(input, output, session) {
distrib_r <- reactive({
switch(
input$loi,
"normal" = rnorm(1000),
"uniform" = runif(1000),
"exponential" = rexp(1000)
)
})
output$plot <- renderPlot({
hist(distrib_r())
})
output$mean <- renderUI({
tags$p(tags$b("The mean is :"), round(mean(distrib_r()), 2))
})
output$raw <- renderPrint({
summary(distrib_r())
})
}
if (interactive())
shinyApp(ui, server)