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remotes::install_github('alexvpickering/shinydlplot)Example that renders a plotly with a download button to
download the iris dataset:
library(shiny)
library(shinyjs)
library(shinydlplot)
library(plotly)
ui <- fluidPage(
useShinyjs(),
downloadablePlotlyUI(id = 'iris_plotly')
)
server <- function(input, output, session) {
plot <- plot_ly(data = iris, x = ~Sepal.Length, y = ~Petal.Length)
callModule(downloadablePlotly,
id = 'iris_plotly',
plot = plot,
filename = 'iris.csv',
content = function(file) {write.csv(iris, file)})
}
shinyApp(ui, server)Example that renders a ggplot2 object with a download
button to download the iris dataset:
library(shiny)
library(shinyjs)
library(shinydlplot)
library(ggplot2)
ui <- fluidPage(
useShinyjs(),
downloadablePlotUI(id = 'iris_plot')
)
server <- function(input, output, session) {
plot <- ggplot(iris, aes(x = Sepal.Length, y = Petal.Length)) + geom_point()
callModule(downloadablePlot,
id = 'iris_plot',
plot = plot,
filename = 'iris.csv',
content = function(file) {write.csv(iris, file)})
}
shinyApp(ui, server)
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.