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Computation of multiple correspondence analysis, with code in R
Greenacre, Michael; Nenadic, Oleg
Universitat Pompeu Fabra. Departament d'Economia i Empresa
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.
Statistics, Econometrics and Quantitative Methods
adjustment of principal inertias
burt matrix
correspondence analysis
multiple correspondence analysis
r language
singular value decomposition
subset analysis
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