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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
Tools
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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 (14) Chapters Close

Web Application Development with R Using Shiny Second Edition
Credits
About the Author
About the Reviewer
www.PacktPub.com
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

Downloading data from RGoogleAnalytics


We did not cover using the RGoogleAnalytics API in detail in Chapter 2, Building Your First Application, and won't here either because it's a little outside of the scope of this book. The Google Analytics application in this book makes use of the RGoogleAnalytics package mentioned in Chapter 2, Building Your First Application. The code is given and briefly summarized in the following section to give you a feel for how to use it.

Note that my username and password have been replaced with XXXX. You can get your own user details from the Google Analytics website. Also note that this code is not included on the GitHub because it requires the username and password to be present in order for it to work.

library(RGoogleAnalytics)

### Generate the oauth_token object
oauth_token <- Auth(client.id = "xxxx",
  client.secret = "xxxx")

# Save the token object for future sessions
save(oauth_token, file = "oauth_token")

Once you have your client.id and client.secret...

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