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Introduction toThe Dataminingtools.net Team
What is R ?R is a programming language and software environment for statistical computing and graphics. It is an implementation of the S programming language with lexical scoping semantics inspired by Scheme. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand.
HistoryVersion 0.16 – This is the last alpha version developed . Much of the basic functionality from the "White Book" was implemented. The mailing lists commenced on April 1, 1997.Version 0.49 – April 23, 1997 – This is the oldest available source release, and compiles on a limited number of Unix-like platforms. CRAN is started on this date, with 3 mirrors that initially hosted 12 packages. Alpha versions of R for Microsoft Windows and Mac OS are made available shortly after this version.Version 0.60 – December 5, 1997 – R becomes an official part of the GNU Project. The code is hosted and maintained on CVS.Version 1.0.0 – February 29, 2000 – Considered by its developers stable enough for production use [11].Version 1.4.0 – S4 methods are introduced and the first version for Mac OS X is made available soon after.Version 2.0.0 – Introduced lazy loading, which enables fast loading of data with minimal expense of system memory.Version 2.1.0 – Support for UTF-8 encoding, and the beginnings of internationalization and localization for different languages.Version 2.9.0 – Package 'Matrix' is now a recommended package contained in the basic R distribution.-Source: http://en.wikipedia.org/wiki/R_(programming_language)
FeaturesIt's free! You don’t have to shell out any money for using R!R is part of the GNU project. Its source code is freely available under the GNU General Public LicenseIt is cross-platform and its packages are available for Windows, Mac OS and Linux.
FeaturesUnparalleled platform for programming new statistical methods in an easy and straightforward manner.Supports advanced statistical routines hardly available in other packages.Amazing graphics capabilities.
FeaturesSupported Statistical features:linear modelingnonlinear modelingclassical statistical teststime-series analysisClassificationclustering
FeaturesR produces publication-quality graphs which can include mathematical symbols. R has its own LaTeX-like documentation format, which is used to supply comprehensive documentation, both on-line in a number of formats and in hard copy.
Obtaining RR is available for Linux, Mac OS X, and Windows (95 or later) platforms.  The software can be downloaded from one of the  Comprehensive R Archive Network (CRAN) mirror sites.

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Introduction To R

  • 2. What is R ?R is a programming language and software environment for statistical computing and graphics. It is an implementation of the S programming language with lexical scoping semantics inspired by Scheme. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand.
  • 3. HistoryVersion 0.16 – This is the last alpha version developed . Much of the basic functionality from the "White Book" was implemented. The mailing lists commenced on April 1, 1997.Version 0.49 – April 23, 1997 – This is the oldest available source release, and compiles on a limited number of Unix-like platforms. CRAN is started on this date, with 3 mirrors that initially hosted 12 packages. Alpha versions of R for Microsoft Windows and Mac OS are made available shortly after this version.Version 0.60 – December 5, 1997 – R becomes an official part of the GNU Project. The code is hosted and maintained on CVS.Version 1.0.0 – February 29, 2000 – Considered by its developers stable enough for production use [11].Version 1.4.0 – S4 methods are introduced and the first version for Mac OS X is made available soon after.Version 2.0.0 – Introduced lazy loading, which enables fast loading of data with minimal expense of system memory.Version 2.1.0 – Support for UTF-8 encoding, and the beginnings of internationalization and localization for different languages.Version 2.9.0 – Package 'Matrix' is now a recommended package contained in the basic R distribution.-Source: http://en.wikipedia.org/wiki/R_(programming_language)
  • 4. FeaturesIt's free! You don’t have to shell out any money for using R!R is part of the GNU project. Its source code is freely available under the GNU General Public LicenseIt is cross-platform and its packages are available for Windows, Mac OS and Linux.
  • 5. FeaturesUnparalleled platform for programming new statistical methods in an easy and straightforward manner.Supports advanced statistical routines hardly available in other packages.Amazing graphics capabilities.
  • 6. FeaturesSupported Statistical features:linear modelingnonlinear modelingclassical statistical teststime-series analysisClassificationclustering
  • 7. FeaturesR produces publication-quality graphs which can include mathematical symbols. R has its own LaTeX-like documentation format, which is used to supply comprehensive documentation, both on-line in a number of formats and in hard copy.
  • 8. Obtaining RR is available for Linux, Mac OS X, and Windows (95 or later) platforms. The software can be downloaded from one of the  Comprehensive R Archive Network (CRAN) mirror sites.