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Apr 24, 2024 · What are R and CRAN? 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 an integrated suite of software facilities for data manipulation, calculation and graphical display. Among other things it has an effective data handling and storage facility, a suite of operators for calculations on arrays, in particular matrices, a large, coherent, integrated collection of intermediate tools for data analysis,
R is an open-source programming language designed for data science and statistics. It’s a powerful tool for working with data, and its documentation and supportive community offer helpful resources for new programmers.
The R-project for statistical computing. R-4.4.0 for Windows. Download R-4.4.0 for Windows (82 megabytes, 64 bit) README on the Windows binary distribution. New features in this version. This build requires UCRT, which is part of Windows since Windows 10 and Windows Server 2016.
The help() function and ? help operator in R provide access to the documentation pages for R functions, data sets, and other objects, both for packages in the standard R distribution and for contributed packages.
R is not just a programming language, but it is also an interactive ecosystem including a runtime, libraries, development environments, and extensions. All these features help you think about problems as a data scientist, while supporting fluent interaction between your brain and the computer.
About. Outcomes. Modules. Recommendations. Testimonials. Reviews. What you'll learn. Understand critical programming language concepts. Configure statistical programming software. Make use of R loop functions and debugging tools. Collect detailed information using R profiler. Skills you'll gain. Data Analysis. Debugging. R Programming. Rstudio.
