Picker Group

Group of mutually dependent pickerInput for filtering data.frame's columns.

pickerGroupUI(
  id,
  params,
  label = NULL,
  btn_label = "Reset filters",
  options = list(),
  inline = TRUE
)

pickerGroupServer(input, output, session, data, vars)

Arguments

id

Module's id.

params

A named list of parameters passed to each pickerInput, you can use : inputId (obligatory, must be variable name), label, placeholder.

label

Character, global label on top of all labels.

btn_label

Character, reset button label.

options

See pickerInput options argument.

inline

If TRUE (the default), pickerInputs are horizontally positioned, otherwise vertically.

input

standard shiny input.

output

standard shiny output.

session

standard shiny session.

data

a data.frame, or an object that can be coerced to data.frame.

vars

character, columns to use to create filters, must correspond to variables listed in params.

Value

a reactive function containing data filtered.

Examples

if (interactive()) {

library(shiny)
library(shinyWidgets)


data("mpg", package = "ggplot2")


ui <- fluidPage(
  fluidRow(
    column(
      width = 10, offset = 1,
      tags$h3("Filter data with picker group"),
      panel(
        pickerGroupUI(
          id = "my-filters",
          params = list(
            manufacturer = list(inputId = "manufacturer", label = "Manufacturer:"),
            model = list(inputId = "model", label = "Model:"),
            trans = list(inputId = "trans", label = "Trans:"),
            class = list(inputId = "class", label = "Class:")
          )
        ), status = "primary"
      ),
      DT::dataTableOutput(outputId = "table")
    )
  )
)

server <- function(input, output, session) {
  res_mod <- callModule(
    module = pickerGroupServer,
    id = "my-filters",
    data = mpg,
    vars = c("manufacturer", "model", "trans", "class")
  )
  output$table <- DT::renderDataTable(res_mod())
}

shinyApp(ui, server)

}


### Not inline example

if (interactive()) {

  library(shiny)
  library(shinyWidgets)


  data("mpg", package = "ggplot2")


  ui <- fluidPage(
    fluidRow(
      column(
        width = 4,
        tags$h3("Filter data with picker group"),
        pickerGroupUI(
          id = "my-filters",
          inline = FALSE,
          params = list(
            manufacturer = list(inputId = "manufacturer", label = "Manufacturer:"),
            model = list(inputId = "model", label = "Model:"),
            trans = list(inputId = "trans", label = "Trans:"),
            class = list(inputId = "class", label = "Class:")
          )
        )
      ),
      column(
        width = 8,
        DT::dataTableOutput(outputId = "table")
      )
    )
  )

  server <- function(input, output, session) {
    res_mod <- callModule(
      module = pickerGroupServer,
      id = "my-filters",
      data = mpg,
      vars = c("manufacturer", "model", "trans", "class")
    )
    output$table <- DT::renderDataTable(res_mod())
  }

  shinyApp(ui, server)

}