R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. To ...
R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics, ...
R
Programming language
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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.
The core R language is augmented by a large number of extension packages, containing... Wikipedia
Designed by: Ross Ihaka and Robert Gentleman
Developer: R Core Team
Filename extensions: :.r.rdata.rhistory.rds.rda;
First appeared: August 1993; 30 years ago
License: GNU GPL v2
Paradigms: Multi-paradigm: procedural, object-oriented, functional, reflective, imperative, array
Platform: arm64 and x86-64
People also ask
What is R used for?
R is widely used in data science by statisticians and data miners for data analysis and the development of statistical software. R is one of the most comprehensive statistical programming languages available, capable of handling everything from data manipulation and visualization to statistical analysis.
Is R written in C or C++?
The main R implementation is written primarily in C, Fortran, and R itself. Other implementations include: pretty quick R (pqR), by Radford M. Neal, attempts to improve memory management.
Is R considered a programming language?
R is a programming language and a software environment for statistical computing and graphics. Microsoft R Open is a version of R that was created by the Microsoft Corporation.
What is the history of the R language?
The R language has been around since the early 1990s and has a rich history. It was developed by Ross Ihaka and Robert Gentleman. R was intended to provide a free alternative to commercial statistical software. R has become very popular over time.
R is a free, open-source programming language & software environment for statistical computing, bioinformatics, visualization & general computing.
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