R

Join the R Track
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.
Join the R Track
Track mentors

9 Mentors

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

2,023 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 Cosima Meyer

Cosima Meyer https://github.com/cosimameyer

Throughout my studies, I was introduced to R in 2013 and discovered the beauty and flexibility of this language.I use R on a regular basis for my PhD project in peace and conflict studies.
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.
Avatar of Katrin Leinweber

Katrin Leinweber https://github.com/katrinleinweber

Studied biochemistry, arctic ecology & geology, PhDed in diatom biofilms. Worked in tech support @prezi, pharma-LIMS & OA data analysis. Git, tidyverse, pandas.
Avatar of Shane Drabing

Shane Drabing https://github.com/shanedrabing

When I'm not doing biology, coding is my favorite pastime. Python feels the most natural to me, but I use R constantly and am now learning C++
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.
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.

Sieve
easy
filtering
math
Grains
easy
integers
RNA Transcription
easy
strings
transforming
Acronym
easy
strings
filtering
Hello World
easy
optional values
text formatting
Rotational Cipher
easy
strings
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 Katrin Leinweber

Katrin Leinweber GitHub

I struggled to apply R to my own PhD research data in 2013. A Science Craft grad school course finally got me started when I decided to use another, well-formated data set. Since then, I have found R to be a lifeline for data analysis and teaching myself and others one or the other programming skill :-) R may not be pretty, but it gets the job done.
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