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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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Author (1):
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Hernan Resnizky Hernan Resnizky
Author Profile Icon Hernan Resnizky
Hernan Resnizky
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Table of Contents (19) Chapters Close

Learning Shiny
Credits
About the Author
Acknowledgements
About the Reviewers
www.PacktPub.com
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

Chapter 11. From White Paper to a Full Application

At this stage, it is supposed that the reader has already acquired enough technical knowledge to code a full application. This is naturally necessary to produce a successful output, but sometimes it is not enough. There are often thousands of different ways to get similar results in R or any other programming language. However, some of them are usually better than others in different ways: scalability, clearness, performance, timings, and so on.

In this chapter, an application is developed from scratch so that the reader comes face to face with a typical programmer's "real world" challenges where the pros and cons of different approaches are evaluated and decisions are taken with all their implications, that is, taking into account the possible drawbacks of the choices made. In this sense, the most important thing is to be conscious about all the strong points and especially, the weak points of your code.

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