Nothing
## ---- echo = FALSE------------------------------------------------------------
## get knitr just the way we like it
knitr::opts_chunk$set(
message = FALSE,
warning = FALSE,
error = FALSE,
tidy = FALSE,
cache = FALSE
)
## -----------------------------------------------------------------------------
library(sortable)
library(htmltools)
## ---- echo=FALSE--------------------------------------------------------------
sortable_js(css_id = "example01")
## -----------------------------------------------------------------------------
library(htmltools)
tagList(
tags$ul(
id = "example02",
tags$li("drag me"),
tags$li("sort me"),
tags$li("any way you like")
),
sortable_js("example02")
)
## -----------------------------------------------------------------------------
library(base64enc)
library(withr)
# create two plots for demo purposes
pngfile_1 <- tempfile(fileext = ".png")
with_png(pngfile_1, width = 300, height = 200,{
plot(1:100, rnorm(100), pch = 21, bg = "red")
title(main = "Moves Like Jagger")
})
pngfile_2 <- tempfile(fileext = ".png")
with_png(pngfile_2, width = 300, height = 200,{
barplot(1:9, col = blues9)
title(main = "I Like the Way You Move")
})
## -----------------------------------------------------------------------------
tagList(
tags$div(
id = "example03",
tags$image(src = base64enc::dataURI(file = pngfile_1, mime = "image/png")),
tags$image(src = base64enc::dataURI(file = pngfile_2, mime = "image/png"))
),
sortable_js(css_id = "example03")
)
## ----shiny-drag-vars-to-plot, eval=FALSE--------------------------------------
# knitr::read_chunk(
# system.file("shiny-examples/drag_vars_to_plot/app.R", package = "sortable")
# )
## ----echo=FALSE, cache=FALSE--------------------------------------------------
knitr::read_chunk(
system.file("shiny-examples/shiny_tabset/app.R", package = "sortable")
)
## ----shiny-tabset-app, eval=FALSE---------------------------------------------
# ## Example shiny app to drag-and-drop tabsets in a shiny app
#
#
# # all credit for code goes to RStudio
# # https://github.com/rstudio/shiny-examples/tree/main/006-tabsets
# library(sortable)
# library(shiny)
#
# ui = # Define UI for random distribution application
# shinyUI(fluidPage(
#
# # Application title
# titlePanel("Tabsets"),
#
# # Sidebar with controls to select the random distribution type
# # and number of observations to generate. Note the use of the
# # br() element to introduce extra vertical spacing
# sidebarLayout(
# sidebarPanel(
# radioButtons(
# "dist", "Distribution type:",
# c(
# "Normal" = "norm",
# "Uniform" = "unif",
# "Log-normal" = "lnorm",
# "Exponential" = "exp"
# )
# ),
# br(),
#
# sliderInput(
# "n",
# "Number of observations:",
# value = 500,
# min = 1,
# max = 1000)
# ),
#
# # Show a tabset that includes a plot, summary, and table view
# # of the generated distribution
# mainPanel(
# tabsetPanel(
# type = "tabs",
# id = "sortTab",
# tabPanel("Plot", plotOutput("plot")),
# tabPanel("Summary", verbatimTextOutput("summary")),
# tabPanel("Table", tableOutput("table"))
# )
# )
# ),
# sortable_js("sortTab")
# ))
#
# server = function(input, output) {
#
# # Reactive expression to generate the requested distribution.
# # This is called whenever the inputs change. The output
# # functions defined below then all use the value computed from
# # this expression
# data <- reactive({
# dist <- switch(
# input$dist,
# norm = rnorm,
# unif = runif,
# lnorm = rlnorm,
# exp = rexp,
# rnorm
# )
#
# dist(input$n)
# })
#
# # Generate a plot of the data. Also uses the inputs to build
# # the plot label. Note that the dependencies on both the inputs
# # and the data reactive expression are both tracked, and
# # all expressions are called in the sequence implied by the
# # dependency graph
# output$plot <- renderPlot({
# dist <- input$dist
# n <- input$n
#
# hist(data(),
# main=paste('r', dist, '(', n, ')', sep=''))
# })
#
# # Generate a summary of the data
# output$summary <- renderPrint({
# summary(data())
# })
#
# # Generate an HTML table view of the data
# output$table <- renderTable({
# data.frame(x = data())
# })
#
# }
#
# shinyApp( ui, server )
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