Introduction

scrollrevealR

scrollrevealR allows you to animate shiny elements when they scroll into view using the scrollrevealjs library.

Installation

You can install the scrollrevealR package from CRAN:


install.packages("scrollrevealR")

You can install the development version of scrollrevealR from GitHub with:

# install.packages("devtools")
devtools::install_github("feddelegrand7/scrollrevealR")

Example

In order to use scrollrevealR, you only need to use one function:

  • scroll_reveal(): allows you to animate one or many shiny elements as they scroll into view.

Important: when you apply the scroll_reveal() function on Shiny Tables, they tend to disappear when you scroll down to check the last observations of the table which is annoying. In order to deal with this issue, you can use the reset = FALSE argument which will trigger an animation only once.

Below an example of a simple shiny app that uses the scrollrevealR package:

library(shiny)
library(scrollrevealR)

ui <- fluidPage(

  h1("Mtcars Plot"),

  br(), br(),

  plotOutput(outputId = "plt1"),

  br(), br(),

  h1("Iris Plot"),
  
  plotOutput(outputId = "plt2"),

  br(), br(),

  h1("ChickWeight Plot"),

  plotOutput(outputId = "plt3"),

  # Using the scroll_reveal() function -------------------------------------------
  scroll_reveal(target = c("#plt1", "#plt2", "#plt3"), duration = 2000, distance = "100px"),

  scroll_reveal(target = "h1", duration = 2000, distance = "100px"),
  # ----------------------------------------------------------------------------- 

  # Making some space at the end

  br(), br(), br(), br(), br(), br(), br(), br(), br(), br(), br(), br()

)

server <- function(input, output) {


output$plt1 <-  renderPlot({

    plot(mtcars)

  })


output$plt2 <- renderPlot({


  plot(iris)

})


output$plt3 <- renderPlot({


  plot(ChickWeight)


})


}

shinyApp(ui = ui, server = server)