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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

Shiny options


In R, under options(), some settings regarding the use of R in general can be seen, for example, the number of digits printed for a number. These options can be modified by typing options (option_name = value), for example:

options(digits = 15)

Shiny has several options that are exclusive to the library. Almost all of them are defaulted to NULL. However, they can be changed in the same way as any other R option. Probably, the most important ones among them are shiny.trace and shiny.error. For shiny.trace, if TRUE, all of the messages sent between the R server and the web browser client will be printed on the console. This is useful for debugging (http://shiny.rstudio.com/reference/shiny/latest/shiny-options.html). For shiny.error, this can be a function that is called when an error occurs. For example, the option (shiny.error=recover) will result in the debugger prompt when an error occurs. The full list can be seen at http://shiny.rstudio.com/reference/shiny/latest/shiny-options...

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