[R-sig-ME] 4 binary DVs, subjects nested within schools

Chris Howden chris at trickysolutions.com.au
Wed Nov 23 07:09:10 CET 2011


I believe that's the idea yes.

I'm not sure exactly how u would set it up in R though. There are ways to
do so but I haven't used them (although I keep meaning to). I believe
clogit can fit a conditional logit model which can be made to act like a
multinomial mlogit model?

These references may help

Aizaki H (2009). \Development of an Application Program for the Design and
Analysis of
Choice Experiments with R (in Japanese with English summary)." Kodo
Keiryogaku, 36(1),
35{46. URL http://www.jstage.jst.go.jp/article/jbhmk/36/1/36_35/_article.

Aizaki H (2011). support.CEs: Basic functions for supporting an
implementation of choice
experiments, R Package Version 0.2-0. URL
http://cran.r-project.org/package=
support.CEs.

Aizaki H, Nishimura K (2008). \Design and Analysis of Choice Experiments
Using R: A
Brief Introduction." Agricultural Information Research, 17(2), 86{94. URL
http://www.
jstage.jst.go.jp/article/air/17/2/17_86/_article.



Chris Howden B.Sc. (Hons) GStat.
Founding Partner
Evidence Based Strategic Development, IP Commercialisation and Innovation,
Data Analysis, Modelling and Training
(mobile) 0410 689 945
(fax) +612 4782 9023
chris at trickysolutions.com.au




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-----Original Message-----
From: r-sig-mixed-models-bounces at r-project.org
[mailto:r-sig-mixed-models-bounces at r-project.org] On Behalf Of Paul
Johnson
Sent: Wednesday, 23 November 2011 3:21 PM
To: R-SIG-Mixed-Models at r-project.org
Subject: Re: [R-sig-ME] 4 binary DVs, subjects nested within schools

On Tue, Nov 22, 2011 at 7:57 PM, John Maindonald
<john.maindonald at anu.edu.au> wrote:
> NB also R's mlogit package, which has an accompanying vignette that
includes
> a number of worked examples, with R code.
> Cheers
> John Maindonald.

Dear John and Chris:

I need to make sure I understand your suggestion here. With 4 Yes or
No options, subject is free to pick any combination. That leads to a
multinomial model with 16 possible 4 tuples as outcomes:

(N,N,N,N)
(N,N,N,Y)
(N,N,Y,N)
(N,N,Y,Y)
(N,Y,N,N)
...and so forth
(Y,Y,Y,Y)

I've never tried fitting a multinomial with more than a few different
outcomes.  But I'm up for the challenge if that's what you are
actually suggesting.

--
Paul E. Johnson
Professor, Political Science
1541 Lilac Lane, Room 504
University of Kansas

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