R

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R is an interpreted, open source programming language with powerful data manipulation and graphical capabilities. It has a thriving package ecosystem and is one of the most popular languages for data science.
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Track mentors

10 Mentors

Our mentors are friendly, experienced R developers who will help teach you new techniques and tricks.
Track students

3,702 Students

Join thousands of students who have enjoyed learning and improving their skills by taking this track.
Track exercises

35 Exercises

Hundreds of hours have gone into making these exercises fun, useful, and challenging to help you enjoy learning.

About R

collatz <- function(num) {
  if (num <= 0)
    stop("num must be positive")
  else if (num == 1)
    return(0)
  else if (num %% 2 == 0)
    return(1 + collatz(num / 2))
  else
    return(1 + collatz(3 * num + 1))
}

R is an open source, programming lingua franca of statistics. It was created by Ross Ihaka and Robert Gentleman at the University of Auckland, who wanted a language that was better suited to statistical computing and easier to use than comparable software designed by computer scientists.

In addition to being a programming language, R is also an environment for interactive data analysis. Its powerful metaprogramming capabilities allow for magically succinct and concise functions. It can also integrate with high-performance programming languages like Fortran, C, and C++. These combined attributes provide an excellent environment for designing domain-specific languages.

Ross Ihaka describes R as "a real demonstration of the power of collaboration". R has a fantastic community of both users and developers, who contribute to a massive (and rapidly growing) collection of packages for importing, manipulating and visualising data, as well as cutting edge methods for statistical modelling and machine learning.

Learn more on r-project.org!

Join the R track

Exercism is a great website

What I like about it is that I am able to solve the challenges in a TDD way working in a environment that I am familiar (my own PC not a browser IDE) and the cherry on the top of the cake is that I have access to code reviews.

Relaxed. Encouraging. Supportive.

Meet the R Track mentors

Once you join the R language track, you will receive support and feedback from our team of mentors. Here are the bios of a few of the mentors of this track.

Avatar of Dennis Hammerschmidt

Dennis Hammerschmidt https://github.com/dennis-hammerschmidt

I'm a PhD student in Political Science at the University of Mannheim and an active R user since 2014. With its unique combination of self-exploration and guided feedback, exercism is the ideal way to learn and master coding in R.
Avatar of Jayaram Kancherla

Jayaram Kancherla https://github.com/jkanche

I use R in my work quite frequently and was introduced a long time ago when i was in grad school. I love the flexibility and readability of the language and would love to help others!
Avatar of Raoul R. Wadhwa

Raoul R. Wadhwa https://github.com/rrrlw

A medical student who enjoys using R for open science.
Avatar of Katrin Leinweber

Katrin Leinweber https://github.com/katrinleinweber

Studied biochemistry, arctic ecology & geology, PhDed in diatom biofilms. Work: support @prezi, pharma-LIMS, OA DataViz @TIBHannover & teaching code @DLR-SC.
Avatar of Jon Calder

Jon Calder https://github.com/jonmcalder

I was introduced to R during my statistics undergrad in 2006 and have been trying to learn to use it properly ever since! I love the power, flexibility and expressiveness of the language, and hope I can help others to appreciate it too.
Avatar of Alexandre Moradell

Alexandre Moradell https://github.com/amoradell

I work with R since 2015 and learned with several courses on Coursera and FUN. I like to help others and Exercism is the right place.
Fun. Challenging. Interesting

Community-sourced R exercises

These are a few of the 35 exercises on the R track. You can see all the exercises here.

Word Count
easy
strings
transforming
Anagram
easy
filtering
strings
Crypto Square
medium
regular expressions
strings
text formatting
transforming
Secret Handshake
easy
bitwise operations
control flow conditionals
Grains
easy
integers
Perfect Numbers
easy
control flow conditionals
integers
math
Passionate. Knowledgeable. Creative.

Meet the R Track maintainers

The R Maintainers are the brains behind the R Track. They spend their spare time creating interesting and challenging exercises that we can all learn from. We are incredibly grateful for their hard work. Here are the bios of a few of the maintainers of this track.

Avatar of Jon Calder

Jon Calder My Website

I was introduced to R during my statistics undergrad in 2006 and have been trying to learn to use it properly ever since! I love the power, flexibility and expressiveness of the language, and hope I can help others to appreciate it too.

Get started with the R track. As with everything on Exercism, it's 100% free!

Join the R Track