R (programming language)
| R | |
|---|---|
Terminal window for R | |
| Paradigms | Multi-paradigm: procedural, object-oriented, functional, reflective, imperative, array |
| Designed by | Ross Ihaka and Robert Gentleman |
| Developer | R Core Team |
| First appeared | August 1993 |
| Stable release | 4.5.1
/ 13 June 2025 |
| Typing discipline | Dynamic |
| Platform | arm64 and x86-64 |
| License | GPL-2.0-or-later |
| Filename extensions |
|
| Website | r-project.org |
| Influenced by | |
| Influenced | |
| Julia pandas | |
| |
R is a programming language for statistical computing and data visualization. It has been widely adopted in the fields of data mining, bioinformatics, data analysis, and data science.
The core R language is extended by a large number of software packages, which contain reusable code, documentation, and sample data. Some of the most popular R packages are in the tidyverse collection, which enhances functionality for visualizing, transforming, and modelling data, as well as improves the ease of programming (according to the authors and users).
R is free and open-source software distributed under the GNU General Public License. The language is implemented primarily in C, Fortran, and R itself. Precompiled executables are available for the major operating systems (including Linux, MacOS, and Microsoft Windows).
Its core is an interpreted language with a native command line interface. In addition, multiple third-party applications are available as graphical user interfaces; such applications include RStudio (an integrated development environment) and Jupyter (a notebook interface).