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Web Application Development with R Using Shiny Second Edition

You're reading from   Web Application Development with R Using Shiny Second Edition Integrate the power of R with the simplicity of Shiny to deliver cutting-edge analytics over the Web

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Product type Paperback
Published in Jan 2016
Publisher Packt
ISBN-13 9781782174349
Length 194 pages
Edition 2nd Edition
Languages
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Author (1):
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Chris Beeley Chris Beeley
Author Profile Icon Chris Beeley
Chris Beeley
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Table of Contents (9) Chapters Close

Preface 1. Getting Started with R and Shiny! FREE CHAPTER 2. Building Your First Application 3. Building Your Own Web Pages with Shiny 4. Taking Control of Reactivity, Inputs, and Outputs 5. Advanced Applications I – Dashboards 6. Advanced Applications II – Using JavaScript Libraries in Shiny Applications 7. Sharing Your Creations Index

threejs


The threejs package, as discussed at the beginning of the chapter, can be used to produce 3D scatterplots or plots on globe mappings (including Earth and celestial bodies). It can be installed using install.packages("threejs"). In order to produce the globe output that is shown in this section, it is necessary to also install maps using install.packages("maps"). The finished application tab looks like this:

The code is as follows:

output$globe <- renderGlobe({
  if(input$outputRequired == "meanSession"){
    globejs(lat = passData()$latitude,
      long = passData()$longitude,
      value = mean(passData()$sessionDuration, na.rm = TRUE),
      bg = "white", color = "green", atmosphere = TRUE)
  } else {

This piece of code is executed when the user wishes to view the mean session values. As shown in the preceding code, the average of the sessionDuration variable is found.

    globejs(lat = passData()$latitude,
      long = passData()$longitude,
      value = log(passData()[, input...
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