R Help Center R is a open source software very similar to S-PLUS. You will find here a compilation of ressources for a quick start as well as for advanced practice.

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The database contains more than 11000 R functions with their description and code, related to more than 300 packages. Also check the wonderfull search tool provided by Jonathan Baron (Documents, R-Help and Functions).  Related to functions      Browse list of packages     Browse list of keywords

Search in database Function name contains Description contains Code contains Keywords  Package All abindacepackadaptade4agceakimaamapAnalyzeFMRIanmapeashawsbaseBhatbimbindataBiobaseblightybooleanbootbootstrapbqtlbrlrcarcatcclustcfaCGIwithRchronCircStatsclassclassPPclim.pactclinesclustercmprskcobsCoCoAncodacombinatconf.designcramerctestDAAGdateDaviesDBIdblcensdealdeldirDesignDevore5Devore6diamondsdichromatdiptestdispmoddrdse1dse2e1071edaeffectsehaellipseemme2emplikEMVevdexactLoglinTestexactRankTestsfastICAfdimfieldsflexmixforeignforwardfpcfracdiffftnonparg.datagafitgbmgeegeepackgeneticsGenKerngeoRgeoRglmggmgldgllmGLMMGibbsglmmMLgpclibgrasperGRASSgregmiscgridgridBasegssgstathaplo.scorehexbinHIhier.partHmischomalshwdeHyperbolicDistifsineqipredismevISwRitsKernSmoothKMsurvknnTreelarslasso2latticeleapslgtdllinproglme4lmeSplineslmtestlocfitlogistflogsplinelokernlpridgelpSolvelqsmapdatamapprojmapsmaptoolsmaptreeMASSMatrixmaxstatmclustmclust1998MCMCpackmdameanscoremerrormethodsmgcvmixmlbenchmlemmlcrmocmodregMPVmsmmuhazmultcompmultivmvamvnmlemvnormtestmvtnormncompletenegenesnetCDFNISTnlsnlmenlmeODEnlrqnlsnnetnormnormalpnormixnortestnoverlapnpmcnprqOarrayodesolveorientlibozpamrpanelpastecspcurvepearpermaxPHYLOGRpinktoepixmappls.pcrpolsplinepolynomppsprabclusprincurvepsplinepsyPTAkptprocqtlquadprogquantregqvcalcR.audioR.baseR.basicR.graphicsR.ioR.langR.matlabR.ooR.tcltkR.uiR2HTMLRadioSondeRandomFieldsrandomForestRArcInfoRcmdrRColorBrewerrelimpreposToolsrgenoudrglrmetaRMySQLRODBCrpartrqmcmb2RSQLiteRSvgDeviceRwaveSASmixedscascatterplot3dSciViewsseacarbseaoseao.guisegmentedsemSenSrivastavaserializesessionsetRNGsgeostatshapefilesshapesSimplesimplebootsmsmasmoothSurvsnsnasnowsomsoundSparseMspatialspatstatspdepsplancssplinesStatDataMLstatmodstepfunstrucchangesubselectSuppDistssurveysurvivalsurvrecsyskernsystemfittapiRtcltktensortframetkrplottoolstreetripacktstseriestwostageVaRvardiagvcdveganVLMCwaveslimwavethreshwlexgobiXMLxtableyags

Title	Link
R pour la statistique: Notes illustrées, presque un cours! [in french]	Details
R2HTML to create HTML outputs	Details
Connect to client application such as Excel	Details
Rnews vol 3/2	Download
Communicate with MatLab from within R	Details
LaTeX dynamic reports using R/Sweave	Details

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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. 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 out of the box on a wide variety of UNIX platforms and similar systems (including FreeBSD and Linux). It also compiles and runs on Windows 9x/NT/2000 and MacOS.

Credits: thanks to the R Development Core Team and to all contributors <