Statistical Computing And Graphics With R

R is a statistical computing and graphics software package. This system is divided into two parts: the R language (what most people mean when they say R) and a run-time environment. R is an interpreted language, which means that its functions are accessed via a command-line interpreter. It is a GNU project that is similar to the S language and environment developed by John Chambers and colleagues at Bell Laboratories (formerly AT&T, now Lucent Technologies). R can be thought of as an alternative implementation of S. There are some significant differences, but much of the code written for S runs unchanged in R.
R is highly extensible and provides a wide range of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering,…) and graphical techniques. The S programming language is frequently used for statistical methodology research, and R provides an Open-Source alternative.

KEY FEATURE

R is a statistical computing and graphics language and environment. R can be thought of as an alternative implementation of S.

R is highly extensible and provides a wide range of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis) and graphical techniques.

R’s ease of producing well-designed publication-quality plots, including mathematical symbols and formulae where necessary, is one of its strengths.

R is available in source code form as Free Software under the terms of the Free Software Foundation’s GNU General Public License.

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Key Topics

    Statistical Computing And Graphics With R

    R’s ease of producing well-designed publication-quality plots, including mathematical symbols and formulae where necessary, is one of its strengths. The defaults for minor design choices in graphics have been carefully chosen, but the user retains complete control.
    R is available in source code form as Free Software under the terms of the Free Software Foundation’s GNU General Public License. It compiles and runs on a wide range of UNIX and similar systems (including FreeBSD and Linux), as well as Windows and MacOS.

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