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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

global.R coding


While the previous section covered processes that had to be done only once whenever the data source changes, global.R will include all the actions that can be done just once per session, for example, see the following:

  • Data source loading

  • Library calls

  • Custom functions sourcing

In our case, apart from loading the dataset and calling the corresponding libraries, we will need to generate a vector that contains the names of all the categorical variables. This will be used in one of the variables selectors. Of course, this last step can be avoided and the list of variables can be hardcoded.

However, in terms of the application's maintenance, it is much wiser to do it this way because if the data source changes (for example, a new categorical variable is added) and we want to include this in the same way as the others, we should be constantly updating this list manually. Although this might be trivial in this example, it can be very necessary in others, especially when the data source...

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