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2025年2月28日 · R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. To download R, please choose your preferred CRAN mirror.

R is a programming language for statistical computing and data visualization. It's 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.

Download R-4.4.3 for Windows. The R-project for statistical computing. This build requires UCRT, which is part of Windows since Windows 10 and Windows Server 2016. On older systems, UCRT has to be installed manually from here.

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues.

2025年2月28日 · R is ‘GNU S’, a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc.

R is a programming language. R is often used for statistical computing and graphical presentation to analyze and visualize data. With our "Try it Yourself" editor, you can edit R code and view the result. How to output some text, and how to do a simple calculation in …

This is an introduction to R (“GNU S”), a language and environment for statistical computing and graphics. R is similar to the award-winning 1 S system, which was developed at Bell Laboratories by John Chambers et al.

2024年11月12日 · R is one of the most comprehensive statistical programming languages available, capable of handling everything from data manipulation and visualization to statistical analysis.

2025年1月13日 · R is a free, open-source programming language, meaning anyone can use, modify, and distribute it. It was initially written by Ross Ihaka and Robert Gentleman (also known as R&R) of the University of Auckland’s Statistics Department.