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Use R! Advisors: RobertGentleman KurtHornik GiovanniParmigiani Forothertitlespublishedinthisseries,goto http://www.springer.com/series/6991 · Richard M. Heiberger Erich Neuwirth R Through Excel A Spreadsheet Interface for Statistics, Data Analysis, and Graphics 123 RichardM.Heiberger ErichNeuwirth DepartmentofStatistics UniversityofVienna TempleUniversity Fakulta¨tfu¨rInformatik PhiladelphiaPA19122 Dr.-Karl-Lueger-Ring1 USA A-1010Vienna rmh@temple.edu Austria erich.neuwirth@univie.ac.at SeriesEditors RobertGentleman KurtHornik PrograminComputationalBiology Wirtschaftsuniversita¨tWien,Vienna DivisionofPublicHealthSciences Austria FredHutchinsonCancerResearchCenter 1100FairviewAvenue N.M2-B876 Seattle,Washington98109 USA GiovanniParmigiani JohnsHopkinsUniversity Baltimore,MD USA ISBN978-1-4419-0051-7 e-ISBN978-1-4419-0052-4 DOI10.1007/978-1-4419-0052-4 SpringerDordrechtHeidelbergLondonNewYork LibraryofCongressControlNumber:2009929743 (cid:2)c SpringerScience+BusinessMedia,LLC2009 Allrightsreserved.Thisworkmaynotbetranslatedorcopiedinwholeorinpartwithoutthewritten permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY10013,USA),exceptforbriefexcerptsinconnectionwithreviewsorscholarlyanalysis.Usein connection with any form of information storage and retrieval, electronic adaptation, computer software,orbysimilarordissimilarmethodologynowknownorhereafterdevelopedisforbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not theyaresubjecttoproprietaryrights. Printedonacid-freepaper SpringerispartofSpringerScience+BusinessMedia(www.springer.com) Let’snotkidourselves:Themostwidelyused pieceofsoftwareforstatisticsisExcel. BrianD.Ripley “StatisticalMethodsNeedSoftware:AView ofStatistical Computing.” Openinglecture RoyalStatistical Society2002,Plymouth (September2002). Preface Abstract MS Excel, the most widely available spreadsheet on MS Windows machines,isoftenusedfordatacollection,manipulation,andstorage.Elementaryand medium-complexitymathematicalandstatisticalfunctionsareincludedwithExcel. More advanced and highly reliable statistical analysis in Excel requires an add-in package. R is one of the best statistics programs available. It is an extensible sys- tem of software facilities for data manipulation, statistical analysis, and graphical display. With RExcel, the entire R environment (including more than a thousand contributedpackages)canbetreatedasanextensionofExcel. This book is a supplementary text to any introductory course in statistics. The book supports the instructor by giving students step-by-step screenshots showing accesstostate-of-the-artstatisticalcomputationsinRdirectlyfromthemenubarin Excel. Thebookcanalsobeusedasacomputationalintroductionbydataanalystswho alreadyhavebasicstatisticalskills. Risaprogramforstatisticalanalysisandgraphicaldisplayofdata. Risoneofthebestprogramsforstatisticalanalysisandgraphicaldisplayofdata. It is maintained and distributed by an international team of statisticians and computer scientists working in universities and industry. R is one of the major tools usedinstatisticalresearchandinapplicationsofstatisticsinscience,socialscience, economics,andbusiness.Rusedinbothacademiaandindustry. Amongotherthings,Rhas • datahandlingandstoragefacilities. • asuiteofoperatorsforcalculationsonarrays,inparticularmatrices. • alarge,coherent,integratedcollectionofintermediatetoolsfordataanalysis. vii viii Preface • graphical facilities for data analysis and display either directly at the computer oronhardcopy. • awell-developed,powerful,andeffectiveprogramminglanguage(calledS)that includes conditionals, loops, user-defined functions (including recursive functions), functions for creating complex data structures, and input and output facilities.(Indeed,mostofthesystem-suppliedfunctionsarethemselveswrittenin theSlanguage.) • Alargeselectionofdemonstrationdatasetsusedintheillustrationofmanysta- tisticalmethods. Excelisthemostwidelyusedspreadsheetprogram. MicrosoftExcel(cid:2)R [Microsoft,2008a]isthemostwidelyavailablespreadsheet.En- tering data, cleaning data, and simple data processing (including simple statistics) are very easily done on spreadsheets. As a consequence, much statistical data is availableas,orevencreatedin,Excelworksheets. Spreadsheets have a different paradigm for representing mathematical formulas than statistical (and mathematical) programming languages. The spreadsheet paradigm is much more visual and action-oriented than the functional or proce- dural paradigm of statistical programming languages. This problem of different paradigms can be overcome. In this book, we illustrate some of the ways the two paradigmscanbemadetoworkwitheachother.[NeuwirthandArganbright,2004] discussindetailhowtorepresentthedevelopmentandstructureofspreadsheetsin printedformandhowspreadsheetscanbeusedtodoseriousmathematicalwork. Exceliseasytouse,butstatisticianshavefoundithassomedeficiencies inthe area of numerical precision. Statistical software is usually perceived as difficult to learn.Thiscanbeamajorobstacleforpotentialusersofadvancedstatisticalmeth- ods.Asthisbookshows,usingRwithinExcelallowsaccesstoboththeeasy-to-use toolsfordataentryandmanipulationavailableinExcelandthepowerandprecision oftheadvancedstatisticalmethodsavailableviaR. RExcelisaninterfaceprogramthatusesRasanadd-in toExcel. RExcel is an add-in to Excel on MS Windows [Microsoft,2008b] machines that allows the use of R as a “helper application” for Excel. Data can be transferred betweenExcelandR(inbothdirections),andExcelcancallRfunctionstoperform calculationsandthentransfertheresultstoExcel. RExceloffersthefollowingfeatures: • allows the use of R functions in Excel cell formulas, effectively controlling R calculationsfromExcel’sautomaticrecalculationmechanism. • connectsRdataframesandExceldatalists. Preface ix • handlesmissingdata. • allowsthecreationofastandaloneRExcelapplicationthathidesRalmostcom- pletelyfromtheuserandusesExcelasthemaininterfacetoR.(Instructionsare giveninRExcel’shelpfile.) • if R Commander [Fox et al., 2007] is available, RExcel optionally places the RcmdrmenusonanExcelmenubar.AnymenuitemintegratedintotheRcmdr menuusinganRcmdrpluginwillalsobeavailableontheRExcelRcmdrmenu. • works with the statconn (D)COM server (previously called R(D)COM server) server,turningRintoan(invisible)backgroundserverforExcel. • works with the rcom package, turning R into a (visible) foreground server for Excel.Usingthisconfiguration,theusercanaccessthesameinstanceofReither fromExcelorfromthecommandlineinanRGUIConsolewindow. • supportsRprocessesrunningunderthecontrolofRServerManager.Rserveris attached to Excel from a server pool. Different instances of Excel (running on different machines) may access the same R process with the same data. We do notusethiscapabilityinthisbook. TheRExcelinterfaceisdescribedin[BaierandNeuwirth,2007].RExcelisbuilt on the the rcom and statconn (D)COM (previously called R(D)COM) packages, which we use for communication between R and the Microsoft Office software [Baier,2007].BasicinformationontheinstallationofR,RExcel,andRcmdrisin AppendixA.FullinformationonRExcelisavailableathttp://rcom.univie.ac.at/. RcmdrisanRpackagethatprovidesGUImenuaccesstoR. Rcmdr (R Commander) is a platform-independent menu interface to R. The menu itemsimplementedbyRcmdrareprimarilydesignedforintroductorycourses.They canbeextendedbytheRcmdrpluginfacilitytoprovideaclickablegraphicaluser interface(GUI)toanystatisticalprocedurecodedinR. Audience Therearetwoaudiencesforthisbook: 1. studentslearningstatistics. 2. peopleanalyzingdata.

Description:

R, a free and open source program, is one of the most powerful and the fastest-growing statistics program. Microsoft Excel is the most widely used spreadsheet program, but many statisticians consider its statistical tools too limited.In this book, the authors build on RExcel, a free add-in for Excel