[R] MCA in R

[John Fox]

Dear Kimmo,

MCA is a rather old name (introduced, I think, in the 1960s by Songuist and Morgan in the OSIRIS package) for a linear model consisting entirely of factors and with only additive effects -- i.e., an ANOVA model will no interactions. You can fit such a model with lm() -- e.g., lm(y ~ f1 + f2 + etc.). Typically, the results of an MCA are reported using "adjusted means." You could compute these manually, or via the effects package.

I hope this helps,
 John

------------------------------
John Fox, Professor
Department of Sociology
McMaster University
Hamilton, Ontario, Canada
web: socserv.mcmaster.ca/jfox

> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On
> Behalf Of K. Elo
> Sent: June-11-08 1:07 AM
> To: r-help at r-project.org
> Subject: [R] MCA in R
> 
> Hi!
> 
> Is there any possibilities to do multiple classification analysis (MCA)
> in R? (MCA examines the relationships between several categorical
> independent variables and a single dependent variable, and determines
> the effects of each predictor before and after adjus­tment for its
> inter-correlations with other predictors in the analysis).
> 
> Kind regrads,
> Kimmo Elo
> 
> ---
> University of Turku, Finland
> Dep. of political science
> 
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