R is a programming language and free software developed by Ross Ihaka and Robert Gentleman in 1993. R possesses an extensive catalog of statistical and graphical methods. It includes machine learning algorithms, linear regression, time series, statistical inference to name a few.

An Introduction to R is based on the former "Notes on R", gives an introduction to the language and how to use R for doing statistical analysis and graphics. R Data Import/Export describes the import and export facilities available either in R itself or via packages which are available from CRAN. 251.2k Followers, 6 Following, 68 Posts - See Instagram photos and videos from R (@r) To Install R. Open an internet browser and go to www.r-project.org. Click the "download R" link in the middle of the page under "Getting Started." Select a CRAN location (a mirror site) and click the corresponding link.

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RStudio is a set of integrated tools designed to help you be more productive with R. It includes a console, syntax-highlighting editor that supports direct code execution, and a variety of robust tools for plotting, viewing history, debugging and managing your workspace. Exposing Data Variables with the Exposition Operator. When you're working with R, you'll find that many functions take a data argument. Consider, for example, the lm () function or the with () function.

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R and Python are both open-source programming languages with a large community. New libraries or tools are added continuously to their respective catalog. R is mainly used for statistical analysis whi

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