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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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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

Shiny as a package


In Chapter 1, Introducing R, RStudio, and Shiny, we learned that Shiny is a package. Packages in R, in most cases, are a collection of functions (in some cases, also datasets) that serve certain objectives. For example, the glm package provides the necessary functions to run general linear models. Packages can also use functions from other packages. In this case, it is said that these packages depend on the package/s that contain the functions that are being used.

Shiny is then a package that contains a set of functions to build web applications within R. However, Shiny is a special package in the following two ways:

  • Firstly, for the correct use of its functions, it is necessary to organize the files in a specific structure

  • Secondly, the syntax of its functions is also slightly different

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