## ----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/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)