datamods (version 1.5.3)

update-factor: Module to Reorder the Levels of a Factor Variable

Description

This module contain an interface to reorder the levels of a factor variable.

Usage

update_factor_ui(id)
update_factor_server(id, data_r = reactive(NULL))
modal_update_factor(
  id,
  title = i18n("Update levels of a factor"),
  easyClose = TRUE,
  size = "l",
  footer = NULL
)

Value

A shiny::reactive() function returning the data.

Arguments

id

Module ID.

data_r

A shiny::reactive() function returning a data.frame.

title

An optional title for the dialog.

easyClose

If TRUE, the modal dialog can be dismissed by clicking outside the dialog box, or be pressing the Escape key. If FALSE (the default), the modal dialog can't be dismissed in those ways; instead it must be dismissed by clicking on a modalButton(), or from a call to removeModal() on the server.

size

One of "s" for small, "m" (the default) for medium, "l" for large, or "xl" for extra large. Note that "xl" only works with Bootstrap 4 and above (to opt-in to Bootstrap 4+, pass bslib::bs_theme() to the theme argument of a page container like fluidPage()).

footer

UI for footer. Use NULL for no footer.

Examples

library(shiny)
library(datamods)
library(ggplot2)

ui <- fluidPage(
  theme = bslib::bs_theme(version = 5L, preset = "bootstrap"),
  shinyWidgets::html_dependency_winbox(),
  tags$h2("Reorder the Levels of a Factor"),
  fluidRow(
    column(
      width = 6,
      update_factor_ui("id"),
      actionButton("modal", "Or click here to open a modal to update factor's level"),
      tags$br(), tags$br(),
      actionButton("winbox", "Or click here to open a WinBox to create a column")
    ),
    column(
      width = 6,
      selectInput(
        "var",
        label = "Variable to plot:",
        choices = NULL
      ),
      plotOutput("plot"),
      verbatimTextOutput("res")
    )
  )
)

server <- function(input, output, session) {

  rv <- reactiveValues(data = MASS::Cars93[c(1, 2, 3, 9, 10, 11, 16, 26, 27)])
  observe(
    updateSelectInput(inputId = "var", choices = names(rv$data))
  )

  # Inline mode
  data_inline_r <- update_factor_server(
    id = "id",
    data_r = reactive(rv$data)
  )
  observeEvent(data_inline_r(), rv$data <- data_inline_r())

  # modal window mode
  observeEvent(input$modal, modal_update_factor("modal"))
  data_modal_r <- update_factor_server(
    id = "modal",
    data_r = reactive(rv$data)
  )
  observeEvent(data_modal_r(), {
    shiny::removeModal()
    rv$data <- data_modal_r()
  })

  # winbox mode
  observeEvent(input$winbox, winbox_update_factor("winbox"))
  data_winbox_r <- update_factor_server(
    id = "winbox",
    data_r = reactive(rv$data)
  )
  observeEvent(data_winbox_r(), rv$data <- data_winbox_r())

  # Plot results
  output$plot <- renderPlot({
    req(input$var, rv$data)
    ggplot(rv$data) +
      aes(x = !!sym(input$var)) +
      geom_bar()
  })
  # Show results
  output$res <- renderPrint({
    data <- req(rv$data)
    str(data)
  })
}

if (interactive())
  shinyApp(ui, server)