## ---- include = FALSE---------------------------------------------------------
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

## ----setup--------------------------------------------------------------------
library(sortable)

## ---- echo=FALSE--------------------------------------------------------------
library(htmltools)
tags$div(
  class = "shiny-app-frame",
  tags$iframe(
    src = "https://andrie-de-vries.shinyapps.io/sortable_drag_vars_to_plot_app/",
    width = 800,
    height = 700
  )
)

## ----echo=FALSE, cache=FALSE--------------------------------------------------
knitr::read_chunk(
  system.file("shiny-examples/drag_vars_to_plot/app.R", package = "sortable")
)

## ----shiny-drag-vars-to-plot, eval=FALSE--------------------------------------
#  ## Example shiny app to create a plot from sortable inputs
#  
#  library(shiny)
#  library(htmlwidgets)
#  library(sortable)
#  library(magrittr)
#  
#  colnames_to_tags <- function(df){
#    lapply(
#      colnames(df),
#      function(co) {
#        tag(
#          "p",
#          list(
#            class = class(df[, co]),
#            tags$span(class = "glyphicon glyphicon-move"),
#            tags$strong(co)
#          )
#        )
#      }
#    )
#  }
#  
#  
#  ui <- fluidPage(
#    fluidRow(
#      class = "panel panel-heading",
#      div(
#        class = "panel-heading",
#        h3("Dragging variables to define a plot")
#      ),
#      fluidRow(
#        class = "panel-body",
#        column(
#          width = 3,
#          tags$div(
#            class = "panel panel-default",
#            tags$div(class = "panel-heading", "Variables"),
#            tags$div(
#              class = "panel-body",
#              id = "sort1",
#              colnames_to_tags(mtcars)
#            )
#          )
#        ),
#        column(
#          width = 3,
#          # analyse as x
#          tags$div(
#            class = "panel panel-default",
#            tags$div(
#              class = "panel-heading",
#              tags$span(class = "glyphicon glyphicon-stats"),
#              "Analyze as x (drag here)"
#            ),
#            tags$div(
#              class = "panel-body",
#              id = "sort2"
#            )
#          ),
#          # analyse as y
#          tags$div(
#            class = "panel panel-default",
#            tags$div(
#              class = "panel-heading",
#              tags$span(class = "glyphicon glyphicon-stats"),
#              "Analyze as y (drag here)"
#            ),
#            tags$div(
#              class = "panel-body",
#              id = "sort3"
#            )
#          )
#  
#        ),
#        column(
#          width = 6,
#          plotOutput("plot")
#  
#        )
#      )
#    ),
#    sortable_js(
#      "sort1",
#      options = sortable_options(
#        group = list(
#          name = "sortGroup1",
#          put = TRUE
#        ),
#        sort = FALSE,
#        onSort = sortable_js_capture_input("sort_vars")
#      )
#    ),
#    sortable_js(
#      "sort2",
#      options = sortable_options(
#        group = list(
#          group = "sortGroup1",
#          put = htmlwidgets::JS("function (to) { return to.el.children.length < 1; }"),
#          pull = TRUE
#        ),
#        onSort = sortable_js_capture_input("sort_x")
#      )
#    ),
#    sortable_js(
#      "sort3",
#      options = sortable_options(
#        group = list(
#          group = "sortGroup1",
#          put = htmlwidgets::JS("function (to) { return to.el.children.length < 1; }"),
#          pull = TRUE
#        ),
#        onSort = sortable_js_capture_input("sort_y")
#      )
#    )
#  )
#  
#  server <- function(input, output) {
#    output$variables <- renderPrint(input[["sort_vars"]])
#    output$analyse_x <- renderPrint(input[["sort_x"]])
#    output$analyse_y <- renderPrint(input[["sort_y"]])
#  
#  
#    x <- reactive({
#      x <- input$sort_x
#      if (is.character(x)) x %>% trimws()
#    })
#  
#    y <- reactive({
#      input$sort_y %>% trimws()
#    })
#  
#    output$plot <-
#      renderPlot({
#        validate(
#          need(x(), "Drag a variable to x"),
#          need(y(), "Drag a variable to y")
#        )
#        dat <- mtcars[, c(x(), y())]
#        names(dat) <- c("x", "y")
#        plot(y ~ x, data = dat, xlab = x(), ylab = y())
#      })
#  
#  }
#  shinyApp(ui, server)