Validate that variables has expected number of levels
validate_n_levels.Rd
Arguments
- x
variable name. If
x
is not a factor, the unique values are treated as levels.- min_levels
cutoff for minimum number of levels of
x
- max_levels
cutoff for maximum number of levels of
x
- var_name
name of variable being validated for use in validation message
Details
If the number of levels of x
is less than min_levels
or greater than max_levels
the validation will fail.
Examples
library(scda)
ADSL <- synthetic_cdisc_data("latest")$adsl
ui <- fluidPage(
selectInput("arm", "Select treatment",
choices = c("ARM", "ARMCD", "STUDYID"), selected = "ARM"
),
verbatimTextOutput("arm_summary")
)
server <- function(input, output) {
output$arm_summary <- renderText({
validate_n_levels(ADSL[[input$arm]],
min_levels = 1, max_levels = 15,
var_name = input$arm
)
paste0(
"Levels of selected treatment variable: ",
paste(levels(ADSL[[input$arm]]),
collapse = ", "
)
)
})
}
if (FALSE) {
shinyApp(ui, server)
}