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Introduction to R
R is a language and environment for statistical computing and graphics. It is a GNU project and is similar
to the S language and environment that was developed at Bell Laboratories (formerly AT&T, now Lucent
Technologies) by John Chambers and his colleagues2. R can be considered as a distinct implementation of
S, developed separately from the original implementation at Bell Laboratories. Although there are some
important dierences between these two implementations, 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, classication, clustering, etc.) and graphical techniques, and is readily 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.
R is available as Free Software under the terms of the Free Software Foundation's GNU General Public
License in source code form. It compiles and runs on a wide variety of UNIX platforms and similar systems
(including FreeBSD and Linux), Windows and MacOS.
法规符合性文档(中/英)
下载请看:https://github.com/jonie-y/R-FDA
个人博客:
DrugBase(偏药品质量管理和统计技术):http://www.drugqm.com
DrugBase(偏计算机编程技术): http://www.usingr.win 或 http://blog.drugqm.com
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