sv_in_set: Validate that a field is part of a defined set

In shinyvalidate: Input Validation for Shiny Apps

Validate that a field is part of a defined set

Description

The sv_in_set() function checks whether the field value is a member of a specified set of values.

Usage

sv_in_set(
  set,
  message_fmt = "Must be in the set of {values_text}.",
  set_limit = 3
)

Arguments

set	A vector or list of elements for which the field value must be a part of (value %in% set must be TRUE) to pass validation. To allow an empty field, NA should be included in the set vector. Optionally, NaN can be included as well.
message_fmt	The validation error message to use if a value fails to match the rule. The message can be customized by using the "{values_text}" string parameter, which allows for the insertion of set values (formatted internally as a text list and controlled via the set_limit parameter). While the default message uses this string parameter, it is not required in a user-defined message_fmt string.
set_limit	The limit of set values to include in the automatically-generated error message (i.e., when message = NULL, the default). If the number of elements provided in set is greater than set_limit then only the first ⁠<message_limit>⁠ set elements will be echoed along with text that states how many extra elements are part of the set.

Value

A function suitable for use as an InputValidator$add_rule() rule.

See Also

The sv_between() function, which tests whether a field values between two boundary values.

Other rule functions: compose_rules(), sv_between(), sv_email(), sv_equal(), sv_gte(), sv_gt(), sv_integer(), sv_lte(), sv_lt(), sv_not_equal(), sv_numeric(), sv_optional(), sv_regex(), sv_required(), sv_url()

Examples

## Only run examples in interactive R sessions
if (interactive()) {

library(shiny)
library(shinyvalidate)

ui <- fluidPage(
  textInput("rating", "Rating")
)

server <- function(input, output, session) {
  
  # Validation rules are set in the server, start by
  # making a new instance of an `InputValidator()`
  iv <- InputValidator$new()

  # Basic usage: `sv_in_set()` requires a value
  # set given as a vector; a message will be
  # shown if the validation of `input$rating` fails
  iv$add_rule("rating", sv_in_set(1:5))

  # Finally, `enable()` the validation rules
  iv$enable()
}

shinyApp(ui, server)

}

shinyvalidate documentation built on Oct. 4, 2023, 5:09 p.m.