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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

Conceptual design


Once we have a general understanding of the data involved in the application, we can decide what data is going to be in the input variables and what will be the role of each one of them. It is important to consider that input and output variables are not mutually exclusive; a variable can be used both as a part of an input and an output. Input widgets can also have different roles. They can be used as filters, aggregate variables, variables selectors for visualizations, and so on. In other words, they can be used as inputs for almost any process that can be programmed within a reactive context.

This flexibility enables us at this preprogramming stage to conceive an application with almost no restrictions. Although this is definitely an advantage, it has to be handled carefully. The need to develop an application that covers every possible aspect of the dataset, although technically possible, can produce a very confusing outcome. It is important to keep in mind that these...

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