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

9 Mentors

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

2,292 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

A tremendous learning opportunity to explore the depth of your own knowledge

Exercism is fantastic in learning new languages but that is not the extent of it. If you are a "more experienced" programmer you may have encountered impostor syndrome: the idea you don't really know what you think you know. Exercism lets you solve problems and put them in the space of open feedback which is a tremendous learning opportunity to explore the depth of your own knowledge. Even if you have been programming in a language for awhile it is worth checking into Exercism to see where you stand with current implementation practices.

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 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 Tyler Ritchie

Tyler Ritchie https://github.com/tylerritchie

I enjoy using R for quickly analyzing data and plotting. I've used R to analyze fisheries data and server request logs.
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 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 Raoul R. Wadhwa

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

A medical student who enjoys using R for open science.
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.
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.

Acronym
easy
strings
filtering
Luhn
easy
algorithms
strings
transforming
Beer Song
easy
control flow conditionals
text formatting
Prime Factors
easy
integers
math
Space Age
easy
floating point numbers
Diamond
easy
control flow loops
text formatting
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!

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