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With the release of version 0.3.0 in April 2016 [4] the use in production and research environments became more widespread. The package was reviewed several months later on the R blog The Beginner Programmer as "R provides a simple and very user friendly package named rnn for working with recurrent neural networks.", [5] which further increased usage.
The Comprehensive R Archive Network (CRAN) homepage. The Comprehensive R Archive Network (CRAN) is R's central software repository, supported by the R Foundation. [9] It contains an archive of the latest and previous versions of the R distribution, documentation, and contributed R packages. [10]
RStudio IDE (or RStudio) is an integrated development environment for R, a programming language for statistical computing and graphics. It is available in two formats: RStudio Desktop is a regular desktop application while RStudio Server runs on a remote server and allows accessing RStudio using a web browser.
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. [9] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.
R Tools for Visual Studio (RTVS) is a plug-in for the Microsoft Visual Studio integrated development environment (IDE), used to provide support for programming in the language R. It supports IntelliSense , debugging, plotting, remote execution, SQL integration, and more.
Download as PDF; Printable version; In other projects Wikidata item; ... Cran may refer to: C-RAN, cellular network architecture; Comprehensive R Archive Network;
knitr is a software engine for dynamic report generation with R. [1] [2] It is a package in the programming language R that enables integration of R code into LaTeX, LyX, HTML, Markdown, AsciiDoc, and reStructuredText documents. The purpose of knitr is to allow reproducible research in R through the means of literate programming.
The R Journal is a peer-reviewed open-access scientific journal published by The R Foundation since 2009. [1] It publishes research articles in statistical computing that are of interest to users of the R programming language. The journal includes a News and Notes section that supersedes the R News newsletter, which was published from 2001 to 2008.