imageOutput
imageOutput(outputId, width = "100%", height = "400px", click = NULL,
dblclick = NULL, hover = NULL, hoverDelay = NULL,
hoverDelayType = NULL, brush = NULL, clickId = NULL, hoverId = NULL,
inline = FALSE)
plotOutput(outputId, width = "100%", height = "400px", click = NULL,
dblclick = NULL, hover = NULL, hoverDelay = NULL,
hoverDelayType = NULL, brush = NULL, clickId = NULL, hoverId = NULL,
inline = FALSE)
Arguments
outputId | output variable to read the plot/image from. |
---|---|
width,height | Image width/height. Must be a valid CSS unit (like
"100%" , "400px" , "auto" ) or a number, which will be
coerced to a string and have "px" appended. These two arguments are
ignored when inline = TRUE , in which case the width/height of a plot
must be specified in renderPlot() . Note that, for height, using
"auto" or "100%" generally will not work as expected,
because of how height is computed with HTML/CSS. |
click | This can be NULL (the default), a string, or an object
created by the clickOpts function. If you use a value like
"plot_click" (or equivalently, clickOpts(id="plot_click") ),
the plot will send coordinates to the server whenever it is clicked, and
the value will be accessible via input$plot_click . The value will
be a named list with x and y elements indicating the mouse
position. |
dblclick | This is just like the click argument, but for
double-click events. |
hover | Similar to the click argument, this can be NULL
(the default), a string, or an object created by the
hoverOpts function. If you use a value like
"plot_hover" (or equivalently, hoverOpts(id="plot_hover") ),
the plot will send coordinates to the server pauses on the plot, and the
value will be accessible via input$plot_hover . The value will be a
named list with x and y elements indicating the mouse
position. To control the hover time or hover delay type, you must use
hoverOpts . |
hoverDelay | Deprecated; use hover instead. Also see the
hoverOpts function. |
hoverDelayType | Deprecated; use hover instead. Also see the
hoverOpts function. |
brush | Similar to the click argument, this can be NULL
(the default), a string, or an object created by the
brushOpts function. If you use a value like
"plot_brush" (or equivalently, brushOpts(id="plot_brush") ),
the plot will allow the user to "brush" in the plotting area, and will send
information about the brushed area to the server, and the value will be
accessible via input$plot_brush . Brushing means that the user will
be able to draw a rectangle in the plotting area and drag it around. The
value will be a named list with xmin , xmax , ymin , and
ymax elements indicating the brush area. To control the brush
behavior, use brushOpts . |
clickId | Deprecated; use click instead. Also see the
clickOpts function. |
hoverId | Deprecated; use hover instead. Also see the
hoverOpts function. |
inline | use an inline (span() ) or block container (div() )
for the output |
Value
-
A plot or image output element that can be included in a panel.
Description
Render a renderPlot
or renderImage
within an
application page.
Note
The arguments clickId
and hoverId
only work for R base
graphics (see the graphics package). They do not work for
grid-based graphics, such as ggplot2,
lattice, and so on.
Interactive plots
Plots and images in Shiny support mouse-based interaction, via clicking,
double-clicking, hovering, and brushing. When these interaction events
occur, the mouse coordinates will be sent to the server as input$
variables, as specified by click
, dblclick
, hover
, or
brush
.
For plotOutput
, the coordinates will be sent scaled to the data
space, if possible. (At the moment, plots generated by base graphics
support this scaling, although plots generated by grid or ggplot2 do not.)
If scaling is not possible, the raw pixel coordinates will be sent. For
imageOutput
, the coordinates will be sent in raw pixel coordinates.
Examples
# Only run these examples in interactive R sessions
if (interactive()) {
# A basic shiny app with a plotOutput
shinyApp(
ui = fluidPage(
sidebarLayout(
sidebarPanel(
actionButton("newplot", "New plot")
),
mainPanel(
plotOutput("plot")
)
)
),
server = function(input, output) {
output$plot <- renderPlot({
input$newplot
# Add a little noise to the cars data
cars2 <- cars + rnorm(nrow(cars))
plot(cars2)
})
}
)
# A demonstration of clicking, hovering, and brushing
shinyApp(
ui = basicPage(
fluidRow(
column(width = 4,
plotOutput("plot", height=300,
click = "plot_click", # Equiv, to click=clickOpts(id="plot_click")
hover = hoverOpts(id = "plot_hover", delayType = "throttle"),
brush = brushOpts(id = "plot_brush")
),
h4("Clicked points"),
tableOutput("plot_clickedpoints"),
h4("Brushed points"),
tableOutput("plot_brushedpoints")
),
column(width = 4,
verbatimTextOutput("plot_clickinfo"),
verbatimTextOutput("plot_hoverinfo")
),
column(width = 4,
wellPanel(actionButton("newplot", "New plot")),
verbatimTextOutput("plot_brushinfo")
)
)
),
server = function(input, output, session) {
data <- reactive({
input$newplot
# Add a little noise to the cars data so the points move
cars + rnorm(nrow(cars))
})
output$plot <- renderPlot({
d <- data()
plot(d$speed, d$dist)
})
output$plot_clickinfo <- renderPrint({
cat("Click:\n")
str(input$plot_click)
})
output$plot_hoverinfo <- renderPrint({
cat("Hover (throttled):\n")
str(input$plot_hover)
})
output$plot_brushinfo <- renderPrint({
cat("Brush (debounced):\n")
str(input$plot_brush)
})
output$plot_clickedpoints <- renderTable({
# For base graphics, we need to specify columns, though for ggplot2,
# it's usually not necessary.
res <- nearPoints(data(), input$plot_click, "speed", "dist")
if (nrow(res) == 0)
return()
res
})
output$plot_brushedpoints <- renderTable({
res <- brushedPoints(data(), input$plot_brush, "speed", "dist")
if (nrow(res) == 0)
return()
res
})
}
)
# Demo of clicking, hovering, brushing with imageOutput
# Note that coordinates are in pixels
shinyApp(
ui = basicPage(
fluidRow(
column(width = 4,
imageOutput("image", height=300,
click = "image_click",
hover = hoverOpts(
id = "image_hover",
delay = 500,
delayType = "throttle"
),
brush = brushOpts(id = "image_brush")
)
),
column(width = 4,
verbatimTextOutput("image_clickinfo"),
verbatimTextOutput("image_hoverinfo")
),
column(width = 4,
wellPanel(actionButton("newimage", "New image")),
verbatimTextOutput("image_brushinfo")
)
)
),
server = function(input, output, session) {
output$image <- renderImage({
input$newimage
# Get width and height of image output
width <- session$clientData$output_image_width
height <- session$clientData$output_image_height
# Write to a temporary PNG file
outfile <- tempfile(fileext = ".png")
png(outfile, width=width, height=height)
plot(rnorm(200), rnorm(200))
dev.off()
# Return a list containing information about the image
list(
src = outfile,
contentType = "image/png",
width = width,
height = height,
alt = "This is alternate text"
)
})
output$image_clickinfo <- renderPrint({
cat("Click:\n")
str(input$image_click)
})
output$image_hoverinfo <- renderPrint({
cat("Hover (throttled):\n")
str(input$image_hover)
})
output$image_brushinfo <- renderPrint({
cat("Brush (debounced):\n")
str(input$image_brush)
})
}
)
}
See also
For the corresponding server-side functions, see
renderPlot
and renderImage
.