 Computation of multiple correspondence analysis, with code in RMichael Greenacre and Oleg Nenadic Economics Working Papers from Department of Economics and Business, Universitat Pompeu Fabra 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. Keywords: Adjustment of principal inertias; Burt matrix; correspondence analysis; multiple correspondence analysis; R language; singular value decomposition; subset analysis (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:upf:upfgen:887 Access Statistics for this paper More papers in Economics Working Papers from Department of Economics and Business, Universitat Pompeu Fabra |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to econpapers@oru.se.
EconPapers is hosted by the
School of Business at Örebro University.