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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: Ratfor file Ratfor: R: Script file R: R00, R01, ... Part of a multi-file RAR archive RAR: R2D: Reflex 2 datafile Reflex 2 R3D: Red Raw Video (raw video data created with a Red camera) Red Camera: R8P: PCL 4 bitmap font file Intellifont: RAD: 2-op FM music Reality AdLib Tracker RAD: Radiance Radiance RAL: Remote Access Language file Remote ...
rakudoc – Raku language Raku documentation file (a slang or sublanguage of Raku) rakutest – Raku language Unit test files in Raku; RB – Ruby; RDP – RDP connection; red – Red scripts; REX, REXX – Rexx and ooRexx script file; RXS, REXG, REXP – ooRexx script file; RS – Rust (programming language) SB2, SB3 – Scratch; SCPT ...
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).
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 ...
dplyr is an R package whose set of functions are designed to enable dataframe (a spreadsheet-like data structure) manipulation in an intuitive, user-friendly way. It is one of the core packages of the popular tidyverse set of packages in the R programming language. [1]
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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 ...