An example of a Shiny App using a rCharts scatter plot

I was finally able to do an example of a Shiny App using the rCharts scatter plot. Switching this example from a standard R scatter plot to rCharts took me way longer than I expected. Now that I have finished it, I am not exactly sure why it was so challenging because the final code looks pretty simple and clean. I also changed my code from the original app so that instead of two R code files (ui.R and server.R) there is only one (app.R). Even that took a little while because I messed up the commas. For this example I used the mtcars data set and allow the user to select the Y variable, X variable, the color variable and a variable to make multiple plots.

Here is a link to the shiny app with embedded rChart


Also here is the code to create this shiny App:

require(shiny)
require(rCharts)
require(datasets)

server<-function(input,output){
  output$myChart<-renderChart({
    p1<-rPlot(input$x,input$y, data=mtcars,type="point",color=input$color,facet=input$facet)
    p1$addParams(dom="myChart")
    return(p1)
  })
}

ui<-pageWithSidebar(
  headerPanel("Motor Trend Cars data with rCharts"),
  sidebarPanel(
    selectInput(inputId="y",
                label="Y Variable",
                choices=names(mtcars),
                ),
    selectInput(inputId="x",
                label="X Variable",
                choices=names(mtcars),
    ),
    selectInput(inputId="color",
                label="Color by Variable",
                choices=names(mtcars[,c(2,8,9,10,11)]),
    ),
    selectInput(inputId="facet",
                label="Facet by Variable",
                choices=names(mtcars[,c(2,8,9,10,11)]),
    )    
    ),
  mainPanel(
    showOutput("myChart","polycharts")
    )
  )

shinyApp(ui=ui,server=server)



Hopefully you can use my code as a template to speed the time it takes you to learn how to do this.