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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

grep and regular expressions


grep() in R works exactly as it does in every UNIX-based operating system. Closely related to grep() (in fact, R groups them together and treats them as a group of functions), various other functions can be found. In this section, only grepl(), gregexpr(), and gsub() will be examined. One thing that all these functions have in common is that they perform an action based on a string pattern. The description of the functions are as follows:

  • grep(): This returns the indexes of the elements in a vector that match a string pattern. If the value is set to TRUE, it returns the values instead of the indexes.

  • grepl(): This returns a logical vector of the same length as the input vector, denoting whether the sought pattern was found or not.

  • gsub(): This substitutes the pattern for the replacement argument in the specified vector.

  • gregexpr(): This returns a list consisting of the vectors of starting positions that specify where the pattern was matched in the text in addition...

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