# 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)