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Multivariate analysis of mixed data: The PCAmixdata R package

hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierQuality control and dynamic reliability [CQFD]
dc.contributor.authorCHAVENT, Marie
hal.structure.identifierEnvironnement, territoires et infrastructures [UR ETBX]
dc.contributor.authorKUENTZ, Vanessa
hal.structure.identifierEnvironnement, territoires et infrastructures [UR ETBX]
dc.contributor.authorLABENNE, Amaury
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierQuality control and dynamic reliability [CQFD]
hal.structure.identifierEcole Nationale Supérieure de Cognitique [ENSC]
dc.contributor.authorSARACCO, Jerome
dc.date.accessioned2024-04-04T03:16:37Z
dc.date.available2024-04-04T03:16:37Z
dc.date.conference2015-06-30
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/194231
dc.description.abstractEnMixed data type arise when observations are described by a mixture of numerical and categorical variables. The R package PCAmixdata extends standard multivariate analysis methods to incorporate this type of data. The key techniques included in the package are PCAmix (PCA of a mixture of numerical and categorical variables), PCArot (rotation in PCAmix) and MFAmix (multiple factor analysis with mixed data within a dataset). A synthetic presentation of the three algorithms will be provided and the three main procedures will be illustrated on real data composed of four datasets caracterizing conditions of life of cities of Gironde, a south-west region of France.
dc.language.isoen
dc.subject.enmixture of numerical and categorical variables
dc.subject.enMultivariate data analysis
dc.subject.enrotation
dc.subject.enmulti-group data
dc.subject.enprincipal component analysis
dc.title.enMultivariate analysis of mixed data: The PCAmixdata R package
dc.typeCommunication dans un congrès
dc.subject.halStatistiques [stat]
dc.subject.halStatistiques [stat]/Machine Learning [stat.ML]
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleThe useR! Conference 2015
bordeaux.countryDK
bordeaux.conference.cityAalborg
bordeaux.peerReviewedoui
hal.identifierhal-01246858
hal.version1
hal.invitednon
hal.proceedingsnon
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01246858v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=CHAVENT,%20Marie&KUENTZ,%20Vanessa&LABENNE,%20Amaury&SARACCO,%20Jerome&rft.genre=unknown


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