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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

Summary


Advanced Shiny functions are definitely harder to understand, as they are conceptually different from everything seen so far in Shiny. However, they expand the application's possibilities enormously. This can be seen even in the example codes. Before this chapter, the examples were much simpler in terms of the application's functionalities since the reactivity process was also much simpler; whenever an input changes, the output is updated. Thanks to these functions, the reactivity process can be much more complex, the execution can be controlled, invisible processes can be triggered, and so on. Dealing with this complexity, far from being a problem, is a huge advantage.

The functions presented in this chapter belong, metaphorically speaking, to a second level of functions in terms of complexity. There are some other more advanced functions that provide more advanced possibilities. However, as this is an introductory book, these will not be covered here. If you are interested in more...

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