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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

Chapter 7. Advanced Functions in Shiny

At this stage, it is supposed that you already know how to code web applications in Shiny with certain complexity. In this chapter, three main topics will be covered that will help you to expand the possibilities of your applications a step further. They are mainly four functions that operate on the server side (that is, they are used in the server.R script):

  • validate(): This validates the inputs passed according to some condition
  • isolate(): This prevents the update of a piece of code given a change in a reactive value
  • observe(): This provides a reactive context but generates no displayable output
  • reactiveValues(): This creates a list object whose element can deal with reactive values
  • Input updates: These are a group of functions that change one or more characteristics of a specific input (for example, sliderInput would require updateSliderInput).
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