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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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Toc

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 reactiveValues() function


reactiveValues() creates a list of objects that can operate with reactive values but are not reactive values themselves. The main difference is that reactiveValues (unlike reactive objects) are not re-executed whenever an input value changes.

Due to this, reactive values are an optimal tool whenever certain register of previous inputs is needed. A good example of this could be counting the number of times an input value changes. In this case, a code is needed where the value of the counter depends on the input value change and on the counter's own previous value. As there is no possibility of operating with reactive values outside a reactive context, this should be inside a reactive context. In this case, as the result will not be displayed inside the application, the code will be inserted inside observe().

The first idea would be to place a counter inside observe(). With the first example, the code should look like this in server.R:

library(shiny)

#initialization...
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