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Seamless R and C++ Integration with Rcpp PDF

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Use R! SeriesEditors: RobertGentleman KurtHornik GiovanniG.Parmigiani Forfurthervolumes: http://www.springer.com/series/6991 Dirk Eddelbuettel Seamless R and C++ Integration with Rcpp 123 DirkEddelbuettel RiverForest Illinois,USA ISBN978-1-4614-6867-7 ISBN978-1-4614-6868-4 (eBook) DOI10.1007/978-1-4614-6868-4 SpringerNewYorkHeidelbergDordrechtLondon LibraryofCongressControlNumber:2013933242 ©TheAuthor2013 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartof thematerialisconcerned,specificallytherightsoftranslation,reprinting,reuseofillustrations,recitation, broadcasting,reproductiononmicrofilmsorinanyotherphysicalway,andtransmissionorinformation storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodology nowknownorhereafterdeveloped.Exemptedfromthislegalreservationarebriefexcerptsinconnection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’slocation,initscurrentversion,andpermissionforusemustalwaysbeobtainedfromSpringer. PermissionsforusemaybeobtainedthroughRightsLinkattheCopyrightClearanceCenter.Violations areliabletoprosecutionundertherespectiveCopyrightLaw. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. Whiletheadviceandinformationinthisbookarebelievedtobetrueandaccurateatthedateofpub- lication,neithertheauthorsnortheeditorsnorthepublishercanacceptanylegalresponsibilityforany errorsoromissionsthatmaybemade.Thepublishermakesnowarranty,expressorimplied,withrespect tothematerialcontainedherein. Printedonacid-freepaper SpringerispartofSpringerScience+BusinessMedia(www.springer.com) To Lisa,Annaand Julia Preface RcppisanRadd-onpackagewhichfacilitatesextendingRwithC++functions. Itisbeingusedforanythingfromsmallandquicklyconstructedadd-onfunctions written either to fluidly experimentwith something new or to accelerate comput- ing by replacing an R function with its C++ equivalent to large-scale bindings for existing libraries, or as a building block in entirely new research computing environments. Whilestillrelativelynewasaproject,Rcpphasalreadybecomewidelydeployed among users and developersin the R community. Rcpp is now the most popular languageextensionfortheRsystemandusedbyover100CRANpackagesaswell astenBioConductorpackages. ThisbooksaimstoprovideasolidintroductiontoRcpp. TargetAudience ThisbookisforRuserswhowouldliketoextendRwithC++code.Somefamil- iaritywithRiscertainlyhelpful;anumberofotherbookscanproviderefreshersor specificintroductions.C++knowledgeisalsohelpful,thoughnotstrictlyrequired. AnappendixprovidesaverybriefintroductionforC++tothosefamiliaronlywith theRlanguage. ThebookshouldalsobehelpfultothosecomingtoRwithmoreofaC++pro- grammingbackground.However,additionalbackgroundreadingmayberequiredto obtainafirmergroundinginRitself.Chambers(2008)isagoodintroductiontothe philosophybehindthe R system anda helpfulsource in orderto acquire a deeper understanding. Theremayalso besomereaderswhowouldliketosee howRcppworksinter- nally.Coveringthataspect,however,requiresafairlysubstantialC++contentand isnotwhatthisbookistryingtoprovide.Thefocusofthisbookisclearlyonhow touseRcpp. vii viii Preface HistoricalContext Rcpp first appeared in 2005 as a (fairly small when comparedto its currentsize) contribution by Dominick Samperi to the RQuantLib package started by Eddel- buettel in 2002 (Eddelbuettel and Nguyen 2012). Rcpp became a CRAN pack- ageinitsownnameinearly2006.Severalreleases(allprovidedbySamperi)fol- lowedinquicksuccessionunderthenameRcpp.Thepackagewasthenrenamedto RcppTemplate;severalmorereleasesfollowedduring2006underthe new name. However,nonewreleasesweremadeduring2007,2008,ormostof2009.Follow- ingafewupdatesinlate2009,theRcppTemplatepackagehassincebeenarchived onCRANforlackofactivemaintenance. Given the continued use of the package, Eddelbuettel decided to revitalize it. Newreleases,usingtheoriginalnameRcpp,startedinNovember2008.Thesein- cluded an improvedbuild and distribution process, additionaldocumentation,and newfunctionality—whileretainingtheexisting“classicRcpp”interface.Whilenot describedhere,thisAPIwillcontinuetobeprovidedandsupportedviatheRcpp- Classicpackage(EddelbuettelandFranc¸ois2012c). ReflectingevolvingC++codingstandards(seeMeyers2005),Eddelbuetteland Franc¸oisstartedasignificantredesignofthecodebasein2009.Thisaddednumer- ousnewfeatures,manyofwhicharedescribedinthepackageviadifferentvignettes. This redesigned version of Rcpp (Eddelbuettel and Franc¸ois 2012a) has become widely used with over ninety CRAN packages depending on it as of November 2012.Itisalsotheversiondescribedinthisbook. Rcppcontinuestobeunderactivedevelopment,andextensionsarebeingadded. Thecontentdescribedhereshallremainvalidandsupported. RelatedWork IntegrationofC++andRhasbeenaddressedbyseveralauthors;theearliestpub- lishedreferenceisprobablyBatesandDebRoy(2001).The“WritingRExtensions” manual(RDevelopmentCoreTeam2012d)hasalsobeenmentioningC++andR integrationsince aroundthattime. AnunpublishedpaperbyJava etal.(2007)ex- pressesseveralideasthatareclosetosomeofourapproaches,thoughnotyetfully fleshedout.TheRservepackage(Urbanek2003,2012)actsasa socketserverfor R.Ontheserverside,RservetranslatesRdatastructuresintoabinaryserialization formatandusesTCP/IPfortransfer.Ontheclientside,objectsarereconstructedas instancesofJavaorC++classesthatemulatethestructureofRobjects. The packages rcppbind (Liang 2008), RAbstraction (Armstrong 2009a), and RObjects(Armstrong2009b)areallimplementedusingC++templates.Noneof them have matured to the point of a CRAN release. CXXR (Runnalls 2009) ap- proachesthistopicfromtheotherdirection:itsaimistocompletelyrefactorR on a strongerC++ foundation.CXXR is thereforeconcernedwith all aspectsof the R interpreter, read-eval-print loop (REPL), and threading; object interchange be- Preface ix tweenRandC++isbutonepart.AsimilarapproachisdiscussedbyTempleLang (2009a)whosuggestsmakinglow-levelinternalsextensiblebypackagedevelopers inordertofacilitateextendingR.TempleLang(2009b),usingcompileroutputfor referencesonthecodeinordertoaddbindingsandwrappers,offersaslightlydif- ferentangle.Lastly,therdyncallpackage(Adler2012)providesa directinterface fromRintoClanguageAPIs.ThiscanbeofinterestifRprogrammerswanttoac- cesslower-levelprogramminginterfacesdirectly.However,itdoesnotaimforthe same object-level interchange that is possible via C++ interfaces, and which we focusonwithRcpp. TypographicConvention The typesetting follows the usage exemplified both by the publisher, and by the JournalofStatisticalSoftware.Weuse • Sans-serifforprogramminglanguagesuchasRorC++ • Boldfacefor(CRANorother)softwarepackagessuchasRcpporinline • Courierforshortsegmentsofcodeorvariablessuchasx <- y + z Wemakeuseofaspecificenvironmentfortheshortpiecesofsourcecodeinter- wovenwiththemaintext. RiverForest,IL,USA DirkEddelbuettel

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Rcpp is the glue that binds the power and versatility of R with the speed and efficiency of C++. With Rcpp, the transfer of data between R and C++ is nearly seamless, and high-performance statistical computing is finally accessible to most R users. Rcpp should be part of every statistician's toolbox
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