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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

The isolate() function


isolate() is a function that does exactly what is expected; it isolates a piece of code. In a Shiny reactive context, this means that it prevents the execution of a piece of code unless, of course, certain condition is met. The condition that isolate() takes in order to re-execute the piece of code is, however, not evaluated in the usual way (that is, in the way that returns TRUE or FALSE), it evaluates whether the object changes or not.

The object to evaluate the condition that is mostly used within isolate() is the action button. The actionButton() function, apart from drawing a button in the interface, creates an object, which is mainly a counter that whenever the button is hit, it increases its value by 1. It becomes clear then why isolate is used mainly with actionButton(); it is ideal to isolate a piece of code from the reactive context it is in until a button is hit.

Lastly, isolate() is a function that can be called only within a reactive context, that is,...

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