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R: The R Project for Statistical Computing 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
What is R? - An Introduction to The Statistical Computing Powerhouse . . . R is a statistical programming tool that’s uniquely equipped to handle data, and lots of it Wrangling mass amounts of information and producing publication-ready graphics and visualizations is easy with R So are all sorts of data analysis, mining, and modeling tasks
An Introduction to R R is very much a vehicle for newly developing methods of interactive data analysis It has developed rapidly, and has been extended by a large collection of packages However, most programs written in R are essentially ephemeral, written for a single piece of data analysis
R Programming Language - Introduction - GeeksforGeeks R is an open-source programming language that is widely used as a statistical software and data analysis tool R generally comes with the Command-line interface R is available across widely used platforms like Windows, Linux, and macOS Also, the R programming language is the latest cutting-edge to
R Programming Language Explained (Careers, Use Cases, Difficulty) R is a free, open-source programming language built for statistical analysis, data mining, visualization, and machine learning Its strong visualization capabilities make it a favorite among data scientists and analysts who need to share insights with technical and non-technical audiences alike
R-universe - browse and search R packages Currently serving 27953 packages, 44193 articles, and 121008 datasets by 1332 organizations, 14414 maintainers and 23895 contributors Not sure what to search for? Why not try: maps, bayesian, ecology, climate, genome, gam, spatial, database, pdf, shiny, rstudio, machine learning, prediction, birds, fish, sports, (more popular topics)
R | STAT ONLINE - Statistics Online "R is a language and environment for statistical computing and graphics " "R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ) and graphical techniques, and is highly extensible "