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Learning Shiny

You're reading from   Learning Shiny Make the most of R's dynamic capabilities and implement web applications with Shiny

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Product type Paperback
Published in Oct 2015
Publisher
ISBN-13 9781785280900
Length 246 pages
Edition 1st Edition
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Authors (2):
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Hernan Resnizky Hernan Resnizky
Author Profile Icon Hernan Resnizky
Hernan Resnizky
Hernan Resnizky Hernan Resnizky
Author Profile Icon Hernan Resnizky
Hernan Resnizky
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Toc

Table of Contents (13) Chapters Close

Preface 1. Introducing R, RStudio, and Shiny FREE CHAPTER 2. First Steps towards Programming in R 3. An Introduction to Data Processing in R 4. Shiny Structure – Reactivity Concepts 5. Shiny in Depth – A Deep Dive into Shiny's World 6. Using R's Visualization Alternatives in Shiny 7. Advanced Functions in Shiny 8. Shiny and HTML/JavaScript 9. Interactive Graphics in Shiny 10. Sharing Applications 11. From White Paper to a Full Application Index

runGist/runGitHub/runUrl

These three functions provided by Shiny basically do the same. In fact, runGist() and runGitHub() are mere wrappers of runUrl(). They basically build the URL based on GitHub's standard taxonomy and call runUrl(). All these functions download all the files to a temporary folder on the local computer and execute them on the end user's side. Of course, if the application requires any file that is not included in the repository, it must be on the user's side. If an application calls a library and it is not on the end user's side, R will throw an error.

Both runGist() and runGitHub() point to a repository in GitHub. The main difference between them is that the first one is not necessarily associated to a user while the second one does. Apart from this, the gist repositories are identified with ID while the GitHub repositories have a name associated to them. For this reason, runGitHub() expects both username and repository name. The following is an...

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