## 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)