R (programming language)
Programming language for statistics / From Wikipedia, the free encyclopedia
Dear Wikiwand AI, let's keep it short, summarize this topic like I'm... Ten years old or a College student
R is a programming language for statistical computing and graphics supported by the R Core Team and the R Foundation for Statistical Computing. Created by statisticians Ross Ihaka and Robert Gentleman, R is used among data miners, bioinformaticians and statisticians for data analysis and developing statistical software.[7] Users have created packages to augment the functions of the R language.
 | |
 R terminal | |
| Paradigms | Multi-paradigm: procedural, object-oriented, functional, reflective, imperative, array[1] |
|---|---|
| Designed by | Ross Ihaka and Robert Gentleman |
| Developer | R Core Team |
| First appeared | August 1993 |
| Stable release | 4.2.2[2]
/ 31 October 2022 |
| Typing discipline | Dynamic |
| Platform | arm64 and x86-64 |
| License | GNU GPL v2 |
| Filename extensions | |
| Website | www |
| Influenced by | |
| Influenced | |
| Julia[6] | |
| |
According to user surveys and studies of scholarly literature databases, R is one of the most commonly used programming languages in data mining.[8] As of December 2022,[update] R ranks 11th in the TIOBE index, a measure of programming language popularity, in which the language peaked in 8th place in August 2020.[9][10]
The official R software environment is an open-source free software environment within the GNU package, available under the GNU General Public License. It is written primarily in C, Fortran, and R itself (partially self-hosting). Precompiled executables are provided for various operating systems. R has a command line interface.[11] Multiple third-party graphical user interfaces are also available, such as RStudio, an integrated development environment, and Jupyter, a notebook interface.