Validate that dataset has a minimum number of observations

Usage

validate_has_data(
  x,
  min_nrow = NULL,
  complete = FALSE,
  allow_inf = TRUE,
  msg = NULL
)

Arguments

x: a data.frame
min_nrow: minimum number of rows in x
complete: logical default FALSE when set to TRUE then complete cases are checked.
allow_inf: logical default TRUE when set to FALSE then error thrown if any values are infinite.
msg: (character(1)) additional message to display alongside the default message.

Details

This function is a wrapper for shiny::validate.

Examples

library(teal)
ui <- fluidPage(
  sliderInput("len", "Max Length of Sepal",
    min = 4.3, max = 7.9, value = 5
  ),
  plotOutput("plot")
)

server <- function(input, output) {
  output$plot <- renderPlot({
    df <- iris[iris$Sepal.Length <= input$len, ]
    validate_has_data(
      iris_f,
      min_nrow = 10,
      complete = FALSE,
      msg = "Please adjust Max Length of Sepal"
    )

    hist(iris_f$Sepal.Length, breaks = 5)
  })
}
if (interactive()) {
  shinyApp(ui, server)
}