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R is a programming language and environment used for graphics and statistical computing. It’s a GNU project, which works like an S language and environment that was created at Bell Laboratories by John Chambers and his colleagues. R is sometimes seen as different implementation of S. There are a lot of important differences between the two, but for the most part, S code can run unchanged through R.
R gives a user a large variety of statistical and graphical techniques, such as clustering, classification, time-series analysis, classical statistical tests, linear and nonlinear modeling, for example. S language is used more often as a way to research statistical methodology, and R gives you an Open Source route to work with the activity.
One of the biggest strengths of R is the ease with which creating a well-designed plot can be done, including mathematical formula and symbols when needed. R has thoroughly taken care of the defaults for minor choices in the graphics, but the user still has full control.
The R environment includes:
