3.1.2 GPL (GNU General Public License)    
3.2/5 52
An Open Source and cross-platform programming language and environment for statistical computing

editor's review





R is an open source, freely distributed and multiplatform command-line software that provides an integrated suite of software facilities, which can be easily used for data calculation, manipulation and graphical display. In other words, R is a programming language and environment for statistical computing and graphics.

It’s a GNU project similar to the S programming language and development environment created by John Chambers and colleagues at Bell Laboratories, which was previously known as AT&T, now Lucent Technologies. It comes with comprehensive documentation that is available on the project’s homepage.

Features at a glance

Key features include an effective, well-developed and simple programming language, useful data storage and handling functions, a set of operators for array calculations, especially matrices, a coherent, large and integrated set of intermediate utilities for data analysis, as well as graphical functions for data display and analysis.

It can be easily extended with additional functionality, comes with a wide range of graphical and statistical techniques, including nonlinear and linear modelling, time-series analysis, clustering, classification and classical statistical tests. R can be used to produce publication-quality plots, including mathematical formulae and symbols.

In addition, users will be able to link and call C++, C and Fortran code at runtime, add extra functionality by specifying new functions, follow the algorithmic choices made, as well as to manipulate R objects directly by writing C code. Its built-in plugin architecture allows you to easily extend its default functions through packages.

Under the hood and supported OSes

R is a cross-platform command-line application that can be used on on a wide range of GNU/Linux and UNIX-like operating systems, including BSD, as well as on Microsoft Windows and Mac OS X. It is implemented in the C programming language and has been successfully tested on both 32-bit and 64-bit hardware platforms.

R was reviewed by Marius Nestor
Last updated on November 10th, 2014

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