Re: [R] Factor Analysis functions...

From: Pierre BADY <pierre.bady_at_univ-lyon1.fr>
Date: Sat 23 Apr 2005 - 00:29:39 EST

hi all,

In the library ‘ade4’, there are two eigenanalysis which enable the ordination of the categorical variables.

1- Multiple Correspondence Analysis (MCA, Tenenhaus & Young 1985) performs the multiple correspondence analysis of a factor table (see the function ‘dudi.acm’). this function is equivalent to functions mca of the library(MASS)

2- the “mixed factorial analysis” (Hill & Smith 1976) enables the ordination of tables mixing quantitative variables and factors (functions ‘dudi.mix’ or ‘dudi.hillsmith’).

I hope this helps,

P.BADY At 15:47 21/04/2005 -0500, Chris Bergstresser wrote:
>Hi all --
>
> I'm running a Factor Analysis on my dataset, and I've located the
> "factanal()" and "princomp()" methods. I don't want to do a PCA, so it
> looks like I should use factanal(), but factanal() requires specifying
> the number of factors you expect from the analysis.
> Are there any packages out there explicitly for Exploratory Factor
> Analysis that do not require specifying the number of expected factors?
>
>-- Chris
>
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Pierre BADY <°)))))><
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https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Sat Apr 23 00:37:01 2005

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