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. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity.
One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. Great care has been taken over the defaults for the minor design choices in graphics, but the user retains full control.
Documentation:
Manuals: https://cran.r-project.org/manuals.html
FAQ: https://cran.r-project.org/faqs.html
R-Journal: https://journal.r-project.org/
Books: https://www.r-project.org/doc/bib/R-books.html
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👋 Hi, I’m @aarushinair - Aarushi Nair (she/her/ella)
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