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- R (programming language) - Wikipedia
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
- R (programming language) - Simple English Wikipedia, the free encyclopedia
R is a programming language and free software environment for statistics [6][7][8][9][10][11] R is a language built for a specific purpose It is strictly designed for statistical analysis
- R: What is R? - The R Project for Statistical Computing
R is a language and environment for statistical computing and graphics It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT T, now Lucent Technologies) by John Chambers and colleagues
- An Introduction to R
This is an introduction to R (“GNU S”), a language and environment for statistical computing and graphics R is similar to the award-winning 1 S system, which was developed at Bell Laboratories by John Chambers et al
- R Programming Introduction - Wikibooks
R is statistical software which is used for data analysis It includes a huge number of statistical procedures such as t-test, chi-square tests, standard linear models, instrumental variables estimation, local polynomial regressions, etc It also provides high-level graphics capabilities
- R (programming language) - Wikiversity
R can be accessed from a command-line interface There are a variety of graphical user interface s that work well with R, including one that ships with it RStudio is a very popular integrated development environment that works well with R and other languages, as does Jupyter [1][2]
- An Introduction to R
This is an introduction to R (“GNU S”), a language and environment for statistical computing and graphics R is similar to the award-winning 1 S system, which was developed at Bell Laboratories by John Chambers et al
- R (programming language) - en. wikipedia. org
R is a programming language for statistical computing and data visualization It has been adopted in the fields of data mining, bioinformatics, and data analysis
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