Edit Data mining and learning analytics tools: R

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**IDENTIFICATION**
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**SHORT DESCRIPTION**
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. R is available as Free Software for data manipulation, calculation and graphical display. It includes an effective data handling and storage facility, a suite of operators for calculations on arrays, in particular matrices, a large, coherent, integrated collection of intermediate tools for data analysis, graphical facilities for data analysis and display either on-screen or on hardcopy, and a well-developed, simple and effective programming language which includes conditionals, loops, user-defined recursive functions and input and output facilities. R can be considered as an environment within which statistical techniques are implemented. R can be extended via packages. For example, try: [http://rqda.r-forge.r-project.org/ RQDA] * [http://cran.at.r-project.org/web/views/NaturalLanguageProcessing.html CRAN Task View: Natural Language Processing]

**ABOUT TOOL**
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