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R ○˒｜Definition｜1st｜20251119205401-00-⌔
R (programming language) - Wikipedia
R (programming language)
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.1
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).2
R is free and open-source software distributed under the GNU General Public License.[^3]3 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), Jupyter (a notebook interface), as well as Termux and Google Colab for mobile devices.4
Printed 2026-06-28.
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Link to original Footnotes
Giorgi, Federico M.; Ceraolo, Carmine; Mercatelli, Daniele (27 April 2022). “The R Language: An Engine for Bioinformatics and Data Science”. Life. 12 (5): 648. Bibcode:2022Life…12..648G. doi:10.3390/life12050648. PMC 9148156. PMID 35629316. ↩
“Home - RDocumentation”. www.rdocumentation.org. Retrieved 13 June 2025. ↩
“R: What is R?”. www.r-project.org. Retrieved 10 May 2025. ↩
Conor I., Anderson (8 July 2018). “Installing R on Android via Termux”. Conor I. Anderson. Retrieved 12 December 2025. Quintana Denis, José Armando (2025). “Análisis de datos en R utilizando Google Colab”. Escuela Politécnica Superior. Universidad de Alcalá. Hewitt, Christopher (1 April 2024). “Exploring Canadian Geospatial Data with GeoPandas in Colab Notebooks”. Bulletin - Association of Canadian Map Libraries and Archives (ACMLA) (173): 14–17. doi:10.15353/acmla.n173.5671. ISSN 2561-2263. Poolman, Toryn M.; Townsend-Nicholson, Andrea; Cain, Amanda (2022). “Teaching genomics to life science undergraduates using cloud computing platforms with open datasets”. Biochemistry and Molecular Biology Education. 50 (5): 446–449. doi:10.1002/bmb.21646. ISSN 1539-3429. PMC 9804627. PMID 35972192. Nurdin, Naufal Muharam (2022). “Development of blood hemoglobin level early detection device based on a noninvasive optical platform”. Heliyon. 8 (11) e11260. Bibcode:2022Heliy…811260I. doi:10.1016/J.HELIYON.2022.E11260. PMC 9636482. PMID 36345523. Miftahul Arifin; Fauzi Helmi; Alamsyah, Dafiq Fajri (2024). “Analisis Pola Asosiasi Penjualan Produk Ritel dengan Platform Google Colab”. Justify: Jurnal Sistem Informasi Ibrahimy. 3: 74–85. doi:10.35316/justify.v3i1.5569. Retrieved 12 December 2025. ↩
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