README.md
In rstudio/sortable: Drag-and-Drop in 'shiny' Apps with 'SortableJS'

sortable

The sortable package enables drag-and-drop behaviour in your Shiny apps. It does this by exposing the functionality of the SortableJS JavaScript library as an htmlwidget in R, so you can use this in Shiny apps and widgets, learnr tutorials as well as R Markdown. In addition, provides a custom learnr question type - question_rank() that allows ranking questions with drag-and-drop.

You can install the released version of sortable from CRAN with:

install.packages("sortable")

And the development version from GitHub with:

# install.packages("remotes")
remotes::install_github("rstudio/sortable")

You can create a drag-and-drop input object in Shiny, using the rank_list() function.

#> Warning in file(con, "r"): file("") only supports open = "w+" and open = "w+b":
#> using the former
#> Warning in knitr::read_chunk(system.file("shiny-examples/rank_list/app.R", :
#> code is empty

With a bucket list you can have more than one rank lists in a single object. This can be useful for bucketing tasks, e.g. asking your students to classify objects into multiple categories.

#> Warning in file(con, "r"): file("") only supports open = "w+" and open = "w+b":
#> using the former
#> Warning in knitr::read_chunk(system.file("shiny-examples/bucket_list/app.R", :
#> code is empty

You can also use sortable_js() to drag and drop other widgets:

library(DiagrammeR)
library(htmltools)

html_print(tagList(
  tags$p("You can drag and drop the diagrams to switch order:"),
  tags$div(
    id = "aUniqueId",
    tags$div(
      style = "border: solid 0.2em gray; float:left; margin: 5px",
      mermaid("graph LR; S[SortableJS] -->|sortable| R ",
              height = 250, width = 300)
    ),
    tags$div(
      style = "border: solid 0.2em gray; float:left; margin: 5px",
      mermaid("graph TD; JavaScript -->|htmlwidgets| R ",
              height = 250, width = 150)
    )
  ),
  sortable_js("aUniqueId") # the CSS id
))

I learnt about the following related work after starting on sortable:

The esquisse package:

“The purpose of this add-in is to let you explore your data quickly to extract the information they hold. You can only create simple plots, you won’t be able to use custom scales and all the power of ggplot2.”