validateOpts {toastui} | R Documentation |
Validation options
Description
Validate columns' content with rules, useful when content is editable.
Usage
validateOpts(
required = NULL,
type = NULL,
min = NULL,
max = NULL,
regExp = NULL,
unique = NULL,
jsfun = NULL
)
Arguments
required |
If set to |
type |
Type of data, can be |
min |
For numeric values, the minimum acceptable value. |
max |
For numeric values, the maximum acceptable value. |
regExp |
A regular expression to validate content. |
unique |
If set to |
jsfun |
A |
Value
A datagrid
htmlwidget.
a list
of options to use in grid_editor()
.
Examples
library(shiny)
ui <- fluidPage(
tags$h2("Validation rules"),
datagridOutput("grid"),
verbatimTextOutput("validation")
)
server <- function(input, output, session) {
output$grid <- renderDatagrid({
validate <- data.frame(
col_text = c("a", "b", "a", NA, "c"),
col_number = sample(1:10, 5),
col_mail = c("victor@mail.com", "victor", NA, "victor@mail", "victor.fr")
)
datagrid(validate) %>%
grid_editor(
"col_text", type = "text",
validation = validateOpts(required = TRUE, unique = TRUE)
) %>%
grid_editor(
"col_number", type = "number",
validation = validateOpts(min = 0, max = 5)
) %>%
grid_editor(
"col_mail", type = "text",
validation = validateOpts(
regExp = "^([a-zA-Z0-9_\\-\\.]+)@([a-zA-Z0-9_\\-\\.]+)\\.([a-zA-Z]{2,5})$"
)
)
})
output$validation <- renderPrint({
input$grid_validation
})
}
if (interactive())
shinyApp(ui, server)
[Package toastui version 0.3.3 Index]