Computation of multiple correspondence analysis, with code in R

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  • dc.contributor.author Greenacre, Michaelca
  • dc.contributor.author Nenadic, Olegca
  • dc.contributor.other Universitat Pompeu Fabra. Departament d'Economia i Empresa
  • dc.date.accessioned 2017-07-26T10:49:52Z
  • dc.date.available 2017-07-26T10:49:52Z
  • dc.date.issued 2005-09-01
  • dc.date.modified 2017-07-23T02:09:51Z
  • dc.description.abstract The generalization of simple correspondence analysis, for two categorical variables, to multiple correspondence analysis where they may be three or more variables, is not straighforward, both from a mathematical and computational point of view. In this paper we detail the exact computational steps involved in performing a multiple correspondence analysis, including the special aspects of adjusting the principal inertias to correct the percentages of inertia, supplementary points and subset analysis. Furthermore, we give the algorithm for joint correspondence analysis where the cross-tabulations of all unique pairs of variables are analysed jointly. The code in the R language for every step of the computations is given, as well as the results of each computation.
  • dc.format.mimetype application/pdfca
  • dc.identifier https://econ-papers.upf.edu/ca/paper.php?id=887
  • dc.identifier.citation Journal of Statistic Software, Vol. 20, Issue 3, Feb 2007
  • dc.identifier.uri http://hdl.handle.net/10230/678
  • dc.language.iso eng
  • dc.relation.ispartofseries Economics and Business Working Papers Series; 887
  • dc.rights L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
  • dc.subject.keyword adjustment of principal inertias
  • dc.subject.keyword burt matrix
  • dc.subject.keyword correspondence analysis
  • dc.subject.keyword multiple correspondence analysis
  • dc.subject.keyword r language
  • dc.subject.keyword singular value decomposition
  • dc.subject.keyword subset analysis
  • dc.subject.keyword Statistics, Econometrics and Quantitative Methods
  • dc.title Computation of multiple correspondence analysis, with code in Rca
  • dc.type info:eu-repo/semantics/workingPaper