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Computation of multiple correspondence analysis, with code in R
- Publication Year :
- 2005
-
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.
- Subjects :
- 0106 biological sciences
Generalization
Computation
jel:C88
01 natural sciences
Adjustment of principal inertias, Burt matrix, correspondence analysis, multiple correspondence analysis, R language, singular value decomposition, subset analysis
Correspondence analysis
010104 statistics & probability
jel:C19
Relationship square
Simple (abstract algebra)
Multiple correspondence analysis
Singular value decomposition
0101 mathematics
Categorical variable
Algorithm
010606 plant biology & botany
Mathematics
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....66c0af54743fb28d6a022e5712de9094