Getting started with the R data analysis language

The R language is one of the best solutions for statistical data analysis. R is ideal for tasks such as data science and machine learning. R, which was created by Ross Ihaka and Robert Gentleman at the University of Auckland in 1991, is a GNU project that is similar to the S language, which was developed in the 1970s at Bell Labs.

R is an interpreted language. Input is either executed directly in the command-line interface or collected in scripts. The R language is open source and completely free. R, which runs on Linux, Windows, and macOS, has a large and active community that is constantly creating new, customized modules.

R was developed for statistics, and it comes with fast algorithms that let users analyze large datasets. There is a free and very well-integrated development environment named RStudio, as well as an excellent help system that is available in many languages.

[...]

Use Express-Checkout link below to read the full article (PDF).

Buy this article as PDF

Express-Checkout as PDF
Price $2.95
(incl. VAT)

Buy Linux Magazine

SINGLE ISSUES
 
SUBSCRIPTIONS
 
TABLET & SMARTPHONE APPS
Get it on Google Play

US / Canada

Get it on Google Play

UK / Australia

Related content

comments powered by Disqus
Subscribe to our Linux Newsletters
Find Linux and Open Source Jobs
Subscribe to our ADMIN Newsletters

Support Our Work

Linux Magazine content is made possible with support from readers like you. Please consider contributing when you’ve found an article to be beneficial.

Learn More

News