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Programming Language

R

Scripting Language

R is a programming language for statistical computing and data visualization, widely used in data mining, bioinformatics, data analysis and data science. It was designed by Ross Ihaka and Robert Gentleman and first posted in August 1993, becoming a GNU project in December 1997 before its 1.0 release in February 2000. R is multi-paradigm, supporting procedural, object-oriented, functional, reflective, imperative and array programming, and is dynamically typed. Its name comes both from its role as a successor to the S language and from the shared first letter of its two original authors first names, Ross and Robert. R extends through a large ecosystem of packages that add statistical techniques, data modeling, graphics production and reporting. This description is adapted from Wikipedia contributors under CC BY-SA 4.0; changes were made. https://creativecommons.org/licenses/by-sa/4.0/

Facts
First Released
1993 1
Paradigm
Multi paradigm: procedural, object oriented, functional, array 2
Significance
Widely adopted for statistics, data mining, bioinformatics and data science. 2
Classification
Typing Discipline
Dynamically Typed 1
License
GNU GPL v2.0 1
R
Filter Results1 entry
Connections

Influenced

Influenced By

Source Wikidata: R
Source Wikidata: R

Preceded By

Sources
1. Wikidata: R
  • Wikidata Q206904, class allow-list match (w-wdresolver-0926)
  • Wikidata Q206904 P571 (inception)
  • Wikidata Q206904 P275 (license)
  • Wikidata Q206904 P7078 (typing discipline)
  • Wikidata Q206904, resolved via en.wikipedia pageprops (wave rule R-L)
  • Influenced By: S (programming language)
  • Influenced By: Common Lisp
View the Source
2. Wikipedia: R (programming language)
Wikimedia Foundation
  • Infobox: First appeared
    August 1993; 33 years ago (1993-08)
  • Infobox: Paradigm
    Multi-paradigm: procedural, object-oriented, functional, reflective, imperative, array
  • Article body, adoption discussion
    It has been widely adopted in the fields of data mining, bioinformatics, data analysis, and data science.
View the Source
Wikipedia: R (programming language)
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