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R logo. R packages are extensions to the R statistical programming language.R packages contain code, data, and documentation in a standardised collection format that can be installed by users of R, typically via a centralised software repository such as CRAN (the Comprehensive R Archive Network).
For the R programming language, the Comprehensive R Archive Network (CRAN) runs tests routinely. To understand how this is valuable, imagine a situation with two developers, Sally and John. Sally contributes a package A. Sally only runs the current version of the software under one version of Microsoft Windows, and has only tested it in that ...
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.
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.
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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.
Program management tools, used to manage and track a corporation's entire Six Sigma program; DMAIC and Lean online project collaboration tools for local and global teams; Data Collection tools that feed information directly into the analysis tools and significantly reduce the time spent gathering data.