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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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Author (1):
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Hernan Resnizky Hernan Resnizky
Author Profile Icon Hernan Resnizky
Hernan Resnizky
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Table of Contents (19) Chapters Close

Learning Shiny
Credits
About the Author
Acknowledgements
About the Reviewers
www.PacktPub.com
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

Relating HTML/JavaScript and server.R


As it was mentioned earlier, one of the biggest advantages of customizing the application UI by just adding tags to UI.R becomes even more visible when the user interface elements (HTML, JavaScript, and so on) depend on reactive values too. This case of reactivity is definitely different from the ones seen so far as the output should be included as HTML code, especially when it comes to JavaScript. For this kind of situation, session$sendCustomMessage() along with a built-in JavaScript function, Shiny.addCustomMessageHandler(), have to be used.

Basically, the first function sends a message to the user interface that will be based on reactive inputs. The second function listens to this and acts accordingly. Considering the JavaScript example again, the following code produces an application where if the input variable (input$number) is less than or equal to 25, the mouseover/mouseout colors will be blue or gray respectively, while if the input value is...

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