R Academy · Lesson

Regular Expressions

Leverage pattern matching and substitution with regex for complex text handling tasks.

Lesson 2 of 310 steps

Regular Expressions is a free R Academy lesson on CoddyKit. This is lesson 2 of 3. Any 3 lessons of this learning path are free to read in full — after that, CoddyKit PRO unlocks every lesson, plus hands-on practice with a built-in code editor and a 24/7 AI tutor. It is part of the R Academy learning path, and your progress syncs across the web and the CoddyKit app. The R Academy course includes 3 lessons in total.

Introduction to Regular Expressions in R

Regular expressions (regex) allow you to match and manipulate text patterns efficiently. In this lesson, you'll learn the basics of using regex in R.

Regular Expressions — illustration 1

Using grep() to Find Patterns

The grep() function searches for patterns in a vector.

text <- c('apple', 'banana', 'cherry')
grep('a', text)

Using grepl() to Check for Patterns

The grepl() function returns TRUE or FALSE if a pattern is found.

grepl('a', text)

Extracting Matches with regexpr()

The regexpr() function locates the first occurrence of a pattern in a string.

regexpr('an', 'banana')

Using gsub() for Replacement

The gsub() function replaces all occurrences of a pattern in a string.

gsub('a', '@', 'banana')

Using sub() for First Match Replacement

The sub() function replaces only the first occurrence of a pattern.

sub('a', '@', 'banana')

Using str_extract() for Pattern Extraction

The str_extract() function from stringr extracts matched patterns.

library(stringr)
str_extract('abc123', '\d+')

Using str_replace_all()

The str_replace_all() function replaces multiple matches using stringr.

library(stringr)
str_replace_all('banana', 'a', '@')

Summary

In this lesson, you learned:

  • How to find patterns using grep() and grepl().
  • How to extract and replace patterns in text.
  • How to use stringr for advanced regex operations.
Regular Expressions — illustration 10
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Frequently Asked Questions

Is the “Regular Expressions” lesson free?

Yes — any 3 lessons of the R Academy learning path, including “Regular Expressions”, are free to read in full here on the web. After that, CoddyKit PRO unlocks every lesson, plus interactive practice with a built-in code editor and a 24/7 AI tutor. The R Academy course includes 3 lessons in total.

What will I learn in “Regular Expressions”?

Leverage pattern matching and substitution with regex for complex text handling tasks. You practise R Academy with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.

Do I need any experience to start R Academy?

No prior experience is required. R Academy on CoddyKit is structured for beginners through advanced learners, so you can start here or from the beginning and move at your own pace. This is lesson 2 of 3.

How long does the “Regular Expressions” lesson take?

Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.

Can I write and run code in this R Academy lesson?

Yes. Every R Academy lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.

All lessons in this course

  1. String Manipulation
  2. Regular Expressions
  3. Dates and Times in R
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