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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

Optimal usage of server.R and global.R

Unlike UI.R, the core of the code in server.R and global.R does not normally differ significantly from normal R code. The mean calculations, statistical functions, and so on are obtained exactly in the same way within a Shiny application as in any other script.

However, in the context where code gets re-executed constantly, like in the Shiny applications, and where eventually a multi-concurrence of users can occur, performance becomes a key factor to avoid collapses.

For example, if the whole application is based on one data source, there is no point in loading it more than once. So, in this case, if the data load code is within a reactive expression in server.R, the data will be loaded unnecessarily again whenever an input value changes, whereas it could have been loaded just once when the application was loaded.

Here are some tips to optimize your code and considerably reduce your execution time:

  • Run once whatever is used by more than one process: In...
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