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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).
The RStudio CRAN mirror download logs [11] show that the package is downloaded on average about 2,000 per month from those servers , [12] with a total of over 100,000 downloads since the first release, [13] according to RDocumentation.org, this puts the package in the 15th percentile of most popular R packages .
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.
He co-authored two books based on S, S Programming and Modern Applied Statistics with S. [3] [4] Since mid-1997 he is a member of the "R Core Team" [6] and from 2000 to 2021 he was one of the most active committers to the R core. [7] The package MASS [8] is one of only fifteen "recommended packages" [9] for R (with June 2024 more than 20,900 [10]).
RExcel is an add-on for Microsoft Excel that allows access to the statistics package R from within Excel. It uses the statconnDCOM server and, for certain configurations, the room package. RExcel runs on Microsoft Windows (XP, Vista, or 7), with Excel 2003, 2007, 2010, and 2013. [1]
Quantitative Discourse Analysis Package (qdap) is an R package for computer assisted qualitative data analysis, particularly quantitative discourse analysis, transcript analysis and natural language processing. Qdap is installable from, and runs within, the R system.
Rcmdr can be installed from within R, like any R package. Integration with Microsoft Excel is provided by the RExcel package, which also provides an RAndFriendsLight "bundle" graphical installer. R commander is used as a suggested learning environment for a number of R-centric academic statistics books for students and scientists. [4] [5]
Analysis tools, which are used to perform statistical or process analysis; 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;