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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

Beautiful tables with DataTable


The latest version of Shiny has added support to draw tables using the wonderful DataTables jQuery library. This will enable your users to search and sort through large tables very easily. To see DataTable in action, visit the homepage at http://datatables.net/ or run the application featured in this chapter. The version in this application summarizes the values of different variables across the different countries from which browser hits originate and looks as follows:

The package can be installed using install.packages("DT") and needs to be loaded in the preamble to the server.R file with library(DT). Once this is done, using the package is quite straightforward. There are two functions: one in server.R (renderDataTable) and one in ui.R (dataTableOutput). They are used as following:

### server. R
output$countryTable <- DT::renderDataTable ({
  groupCountry <- group_by(passData(), country)
  groupByCountry <- summarise(groupCountry,
    meanSession...
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