Validate input values and other conditions — validate
R/utils.R
Description
validate()
provides convenient mechanism for validating that an output
has all the inputs necessary for successful rendering. It takes any number
of (unnamed) arguments, each representing a condition to test. If any
of condition fails (i.e. is not "truthy"), a special type of
error is signaled to stop execution. If this error is not handled by
application-specific code, it is displayed to the user by Shiny.
If you use validate()
in a reactive()
validation failures will
automatically propagate to outputs that use the reactive.
Arguments
- ...
A list of tests. Each test should equal
NULL
for success,FALSE
for silent failure, or a string for failure with an error message.- errorClass
A CSS class to apply. The actual CSS string will have
shiny-output-error-
prepended to this value.- expr
An expression to test. The condition will pass if the expression meets the conditions spelled out in Details.
- message
A message to convey to the user if the validation condition is not met. If no message is provided, one will be created using
label
. To fail with no message, useFALSE
for the message.- label
A human-readable name for the field that may be missing. This parameter is not needed if
message
is provided, but must be provided otherwise.
need()
An easy way to provide arguments to validate()
is to use need()
, which
takes an expression and a string. If the expression is not
"truthy" then the string will be used as the error message.
If "truthiness" is flexible for your use case, you'll need to explicitly
generate a logical values. For example, if you want allow NA
but not
NULL
, you can !is.null(input$foo)
.
If you need validation logic that differs significantly from need()
, you
can create your own validation test functions. A passing test should return
NULL
. A failing test should return either a string providing the error
to display to the user, or if the failure should happen silently, FALSE
.
Alternatively you can use validate()
within an if
statement, which is
particularly useful for more complex conditions:
Examples
## Only run examples in interactive R sessions
if (interactive()) {
options(device.ask.default = FALSE)
ui <- fluidPage(
checkboxGroupInput('in1', 'Check some letters', choices = head(LETTERS)),
selectizeInput('in2', 'Select a state', choices = c("", state.name)),
plotOutput('plot')
)
server <- function(input, output) {
output$plot <- renderPlot({
validate(
need(input$in1, 'Check at least one letter!'),
need(input$in2 != '', 'Please choose a state.')
)
plot(1:10, main = paste(c(input$in1, input$in2), collapse = ', '))
})
}
shinyApp(ui, server)
}