Re: [R] How to intepret a factor response model?

From: Maciej Bliziński <m.blizinski_at_wsisiz.edu.pl>
Date: Wed 04 May 2005 - 20:02:14 EST

Thanks a lot for the answers (prof Ripley and Ted).

I'm trying to analyze a survey. Most of the variables are of factor type, with values for example {"no_at_all", "a_little", "mostly", "a_lot"}.

I thought about mapping those answers to numbers, but I didn't know what numbers should I assign them to: {1, 2, 3, 4} (linear) or maybe {1, 2, 4, 8} (exponential)? So I rather tried to analyze the original factor survey data.

Multinomial factor response wasn't covered in the lectures in my school so I'm trying to use my intuition and trial/error technique (please forgive me :-) ).

Prof Brian Ripley wrote:
> I do wonder if that is what you intended, though.

I'd like to find possible correlations between factors in my survey. The survey is about allergies and I'd like to find out if there is correlation between the degree of allergic problems and the breast milk (and artificial milk) feeding of the person as a child.

> You have fitted a model of 'two or three' vs 'one'. You may have
> intended a multinomial logistic model: again MASS4 has details of such
> models.

I'll go on reading, the "fullrefman.pdf" file.

Regards,
Maciej Blizinski
Danmarks Tekniske Universitet



R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Wed May 04 22:05:50 2005

This archive was generated by hypermail 2.1.8 : Fri 03 Mar 2006 - 03:31:35 EST