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Web Application Development with R Using Shiny

You're reading from   Web Application Development with R Using Shiny Build stunning graphics and interactive data visualizations to deliver cutting-edge analytics

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Product type Paperback
Published in Sep 2018
Publisher
ISBN-13 9781788993128
Length 238 pages
Edition 3rd Edition
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Authors (2):
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Chris Beeley Chris Beeley
Author Profile Icon Chris Beeley
Chris Beeley
Shitalkumar R. Sukhdeve Shitalkumar R. Sukhdeve
Author Profile Icon Shitalkumar R. Sukhdeve
Shitalkumar R. Sukhdeve
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Table of Contents (11) Chapters Close

Preface 1. Beginning R and Shiny 2. Shiny First Steps FREE CHAPTER 3. Integrating Shiny with HTML 4. Mastering Shiny's UI Functions 5. Easy JavaScript and Custom JavaScript Functions 6. Dashboards 7. Power Shiny 8. Code Patterns in Shiny Applications 9. Persistent Storage and Sharing Shiny Applications 10. Other Books You May Enjoy

Debounce and throttle

Debounce and throttle are used to slow down a reactive expression. For example, suppose we are using the invalidation check for a reactive expression and error indications are prompted unnecessarily. We can use debounce and throttle to make expressions such as these slow down and wait for intermediate expressions to complete their calculations. The syntaxes of both of these are as follows:

debounce(r, millis, priority = 100, domain = getDefaultReactiveDomain()) 
 
throttle(r, millis, priority = 100, domain = getDefaultReactiveDomain()) 

Here, r is the reactive expression that invalidates too often. millis is the time window used by debounce/throttle, and priority sets the observer's priority. For example, if we want to add debounce to an expression, we can do it as follows:

plot_iris<-  plot(iris$Sepal.Length,iris$Sepal.Width) ) %>% debounce(1000...
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