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1、Fr′ed′ericFerratyandPhilippeVieuR/S-plusFunctionsHelpFilesNonParametricFunctionalDataAnalysisJune2,2006ContentsIntroduction...................................................11IndexesofR/S-plusroutines...............................31.1AlphabeticalIndexforal
2、lroutines.........................31.2IndexbyCategory.......................................61.2.1classifyingasampleofcurves(clustering).............61.2.2discriminatingasampleofcurves(supervisedclassi?cation).....................................61.2.3Kernel
3、functions/integratedkernelfunctions..........61.2.4PredictingascalarresponsefromcurvesorForecastingtimeseries........................................71.2.5Preprocessingfunctionaldata.......................81.2.6Proximitiesbetweencurves(semi-metrics).........
4、...82HelpFilesformainroutines...............................92.1Introductionandnotations...............................92.2Help?lesinalphabeticalorder............................10Index..........................................................25IntroductionT
5、hispartproposesindexesandhelp?lesfortheR/S-plusroutinesneededforimplementingNonParametricFunctionalDataAnalysis(NPFDA).Asyouwillsee,twokindsofindexesareavailable(the?rstcorrespondstothestan-dardalphabeticalorderwhereasthesecondislistedbycategory).Afterthen,t
6、hereaderwill?ndhelp?lesforthemainroutines.Copyright:Youmaydownloadmaterialsfreelyforyourownpersonalstudy.Useforanycommercialpurposeisforbidden.1IndexesofR/S-plusroutines1.1AlphabeticalIndexforallroutinesapprox.fourierFourierapproximationofcurvesapprox.spline
7、.derivB-splineapproximationofthesuccessivederivativesofasetcurvesapprox.splineB-splineapproximationofasetofcurvesclassif.bwComputesabandwidthamonga?xedsequenceofbandwidths(classi?cation)classif.hiReturnsanHeterogeneityIndex(HI)forasetofcurves(classi?cation)c
8、lassif.npfdaPerformsthenonparametricunsupervisedclassi?cation(orclustering)methodofasampleofcurvesclassif.partFromasetofcurves,performsapartitionandcomputesthecorrespondingsplittingscore(classi?
