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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 observe() function


From the functions covered in this chapter, observe() is definitely the most difficult to understand. Going deeper into the preceding definition, observe() generates outputs from reactive values (inputs) that are not rendered in an application and cannot be used inside another reactive context (for example, renderPlot() or reactive()). As a consequence of this, this function will be rather used to generate a backend process that depends on reactive values.

observe() can be used, for example, to download data depending on reactive values on the server side, such as keeping track of the application's use in a text file, similar to a log. Another very common use of observe() is to update the arguments of an input widget based on reactive values. This will be covered in the last section of this chapter.

In the following example, the application keeps track of the numbers passed as input by saving them in a log. Inside observe(), the passed values (given that it is not NA...

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