Sounds like you need to use a probabilistic discrete choice model (e.g.
multinomial logit/probit or ordered logit/probit model). Insightful is
developing a module for such analysis. Contact me if you are interested. ez
-----Original Message-----
From: s-news-owner@lists.biostat.wustl.edu
[mailto:s-news-owner@lists.biostat.wustl.edu]On Behalf Of Augusto Cesar
H. Dantas
Sent: Wednesday, August 27, 2003 9:50 AM
To: Splus Discussion List
Subject: [S] Principal Components Analysis on factor data.
Dear all,
does anybody know a way to extract components in a
'YES/NO/DON'T KNOW' data? The data I have consists of answers to a
survey, and I would like to analyse the relevance of the different
questions.
(note that a simple transformation to 1/0/-1 data would result in real
number components; I would like a kind of ''binary PCA'')
Thanks in advance,
Augusto.
--
Augusto Cesar Heluy Dantas
D.Sc. Student at COPPE/UFRJ
Rio de Janeiro, Brazil
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