The R Project for Statistical Computing (R) is a free software environment for statistical computing and graphics.
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The R Project for Statistical Computing (R) is a free software environment for statistical computing and graphics.
Read moreRattle provides a Gnome based open source interface to R functionality for binary classification tasks and data mining.
Read moretext2vec is an R package which provides an efficient framework with a concise API for text analysis and natural language processing (NLP).
Read morewhoami displays the username, full name, email address and GitHub username of the current user. It’s written in R.
Read moreTo provide an insight into the quality of software available for Linux, we give our verdict on the best graphical user interfaces for R.
Read moreHere’s our recommended free tutorials to learn a variety of programming languages. Learn C, C++, Java, Python, R, JavaScript, PHP, and many more.
Read moreThis article recommends 33 free books which will teach you the basics of R, how to produce amazing plots, how to apply R to lots of disciplines, and how to efficiently program in R. Many of the books are open source.
Read moreThis is a short introductory training session on the use of R in data science.
Read moreThe R language is the de facto standard among statisticians for the development of statistical software. Here’s our recommended tutorials to learn R.
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