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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. [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.
The tidyverse is a collection of open source packages for the R programming language introduced by Hadley Wickham [1] and his team that "share an underlying design philosophy, grammar, and data structures" of tidy data. [2] Characteristic features of tidyverse packages include extensive use of non-standard evaluation and encouraging piping. [3 ...
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.
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.
Gentleman worked as a statistics professor at the University of Auckland in the mid-1990s, where he developed the R programming language alongside Ross Ihaka. [5] [10] In 2001, he started work on the Bioconductor project to promote the development of open-source tools for bioinformatics and computational biology.
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The magazine said that the book was not easy to read, but that it would expose experienced programmers to both old and new topics. [ 8 ] A review of SICP as an undergraduate textbook by Philip Wadler noted the weaknesses of the Scheme language as an introductory language for a computer science course. [ 9 ]
Programming with Big Data in R (pbdR) [1] is a series of R packages and an environment for statistical computing with big data by using high-performance statistical computation. [ 2 ] [ 3 ] The pbdR uses the same programming language as R with S3/S4 classes and methods which is used among statisticians and data miners for developing statistical ...