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The Statistics and Machine Learning with R Workshop

You're reading from   The Statistics and Machine Learning with R Workshop Unlock the power of efficient data science modeling with this hands-on guide

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Product type Paperback
Published in Oct 2023
Publisher Packt
ISBN-13 9781803240305
Length 516 pages
Edition 1st Edition
Languages
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Author (1):
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Liu Peng Liu Peng
Author Profile Icon Liu Peng
Liu Peng
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Table of Contents (20) Chapters Close

Preface 1. Part 1:Statistics Essentials
2. Chapter 1: Getting Started with R FREE CHAPTER 3. Chapter 2: Data Processing with dplyr 4. Chapter 3: Intermediate Data Processing 5. Chapter 4: Data Visualization with ggplot2 6. Chapter 5: Exploratory Data Analysis 7. Chapter 6: Effective Reporting with R Markdown 8. Part 2:Fundamentals of Linear Algebra and Calculus in R
9. Chapter 7: Linear Algebra in R 10. Chapter 8: Intermediate Linear Algebra in R 11. Chapter 9: Calculus in R 12. Part 3:Fundamentals of Mathematical Statistics in R
13. Chapter 10: Probability Basics 14. Chapter 11: Statistical Estimation 15. Chapter 12: Linear Regression in R 16. Chapter 13: Logistic Regression in R 17. Chapter 14: Bayesian Statistics 18. Index 19. Other Books You May Enjoy

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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