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
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.
What is R in Windows R?
R for Windows is a free programming language and software environment for statistical computing and graphical modeling. It is often used to create statistical software and for data analysis by statisticians, data engineers, and data analysts.
What is the introduction of R programming?
R was developed in 1993 by Ross Ihaka and Robert Gentleman and includes linear regression, machine learning algorithms, statistical inference, time series, and more. R is a universal programming language compatible with the Windows, Macintosh, UNIX, and Linux platforms.
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.
R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics, ...
R is a free, open-source programming language & software environment for statistical computing, bioinformatics, visualization & general computing.
r/Rlanguage: We are interested in implementing R programming language for statistics and data science.
The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, ...
Turn your analyses into high quality documents, reports, presentations and dashboards with R Markdown. Use a productive notebook interface to weave together ...
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