R (programming language)
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. Users have created packages to augment the functions of the R language.
R (programming language) - Wikipedia Jump to content From Wikipedia, the free encyclopedia Programming language for statistics "R lang" redirects here; not to be confused with Erlang or Rust (programming language) . {{cite web |url=https://docs.julialang.org/en/stable/manual/introduction/#man-introduction-1 |title=Introduction |work=The Julia Manual |access-date=2018-08-05 |archive-url=https://web.archive.org/web/20180620172516/https://docs.julialang.org/en/stable/manual/introduction/#man-introduction-1 |archive-date=20 June 2018 |url-status=dead |df=dmy-all}}</ref> \n* [[pandas (software)|pan
related reading
- The R Project for Statistical Computingr-project.org
- Hands-On Programming with Rrstudio-education.github.io
- R for Data Science (2e)r4ds.hadley.nz
- R Data Typesw3schools.com
- R Operatorsw3schools.com
- NYSRGnotes.ekzhang.com
- R pre-sessionalandrewmoles2.github.io
- Forecasting: Principles and Practice (2nd ed)otexts.com
- Wolfram Language & System Documentation Centerreference.wolfram.com
- R Variable Names (Identifiers)w3schools.com
- GitHub - dspiegel29/ArtofStatistics: Code for 'The Art of Statistics'github.com
- Learn X in Y Minutes: Scenic Programming Language Tourslearnxinyminutes.com