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You're reading from  The Statistics and Machine Learning with R Workshop

Product typeBook
Published inOct 2023
Reading LevelIntermediate
PublisherPackt
ISBN-139781803240305
Edition1st Edition
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Author (1)
Liu Peng
Liu Peng
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Liu Peng

Peng Liu is an Assistant Professor of Quantitative Finance (Practice) at Singapore Management University and an adjunct researcher at the National University of Singapore. He holds a Ph.D. in statistics from the National University of Singapore and has ten years of working experience as a data scientist across the banking, technology, and hospitality industries.
Read more about Liu Peng

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Introducing regular expressions

A regular expression is a sequence of characters that bear a special meaning and are used for pattern matching in strings. Since the specific meaning of characters in a regular expression requires some memorization and can easily be forgotten if you do not use them often, we will avoid introducing its underlying syntax and focus on intuitive and more human-friendly programming using the rebus package. It is a good companion to stringr and provides utility functions that facilitate string manipulation and make building regular expressions much easier. Remember to install this package via install.package("rebus") when you use it for the first time.

The rebus package has a special operator called %R% that’s used to concatenate matching conditions. For example, to detect whether a string starts with a particular character, such as s, we could specify the pattern as START %R% "s" and pass it to the pattern argument of the str_detect...

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You have been reading a chapter from
The Statistics and Machine Learning with R Workshop
Published in: Oct 2023Publisher: PacktISBN-13: 9781803240305

Author (1)

author image
Liu Peng

Peng Liu is an Assistant Professor of Quantitative Finance (Practice) at Singapore Management University and an adjunct researcher at the National University of Singapore. He holds a Ph.D. in statistics from the National University of Singapore and has ten years of working experience as a data scientist across the banking, technology, and hospitality industries.
Read more about Liu Peng