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Explanation:
2 What is R ?
R is a computing environment that combines
a programming language called S, developed by John Chambers at Bell Labs, that implements the idea of programming with data (Chambers 1998),
an extensive set of functions for classical and modern statistical data analysis and modeling,
powerful numerical analysis tools for linear algebra, differential equations, and stochastics,
graphics functions for visualizing data and model output,
a modular and extensible structure that supports a vast array of optional add-on packages, and
extensive help and documentation facilities.
R is an open source software project, available for free download (R Core Team 2014a). Originally a research project in statistical computing (Ihaka and Gentleman 1996), it is now managed by a development team that includes a number of well-regarded statisticians, and is widely used by statistical researchers and working scientists as a platform for making new methods available to users.
There are a number of graphical front-ends for R. At present, the best of these appears to be RStudio. Before learning about these, however, you should learn a little about R itself.
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