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From <http://www.R-project.org/about.html>:
R is a language and environment for statistical computing and graphics.
It is a GNU project which is similar to the S language and environment
which was developed at Bell Laboratories (formerly AT&T, now Lucent
Technologies) by John Chambers and colleagues. R can be considered as a
different implementation of S. There are some important differences,
but much code written for S runs unaltered under R.
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.
WWW: http://www.R-project.org/
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