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Re: MDS on longitudinal data

To: "Bhattacharyya, Arunava, ALABS" <arunb@att.com>, <s-news@lists.biostat.wustl.edu>
Subject: Re: MDS on longitudinal data
From: "Bhattacharyya, Arunava, ALABS" <arunb@att.com>
Date: Fri, 5 May 2006 15:58:21 -0500
In-reply-to: <E89DC155D6BF134E9FC04D62834D0EF20BBB037E@OCCLUST04EVS1.ugd.att.com>
Thread-index: AcZvES5/ueAEUn8DR8qij+Q3obpX/wBdOo/Q
Thread-topic: [S] MDS on longitudinal data

Colleagues –

            I sincerely appreciate suggestions and references provided by Chris Baker and John MacCuish on this issue! Looks like I have to do a little more reading on this. Any suggestion and comment is highly appreciated.

 

Thanks!

 

Arun Bhattacharyya

AT&T Labs, Research

Florham Park, NJ 07932

(973) 236-6613

-----Original Message-----
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rom: s-news-owner@lists.biostat.wustl.edu [mailto:s-news-owner@lists.biostat.wustl.edu] On Behalf Of Bhattacharyya, Arunava, ALABS
Sent: Wednesday, May 03, 2006 8:25 PM
To:
s-news@lists.biostat.wustl.edu
Subject: [S] MDS on longitudinal data

 

This is not a S+ question, but I fee this the right group to seek help form.

 

I am trying to find good references - both theory and applications - on how to use MDS on longitudinal data where N is slightly bigger than T. I a have data on 30 units over 24 time points. New variables are entering into the dataset (which makes it richer over time) over time as technology changes. I like to see how cluster/groups membership of these 30 units are changing over time. I am familiar with MDS on cross-sectional data, but in this analysis I like to measure change in group composition over time.

 

Any help on this is high;y appreciated. As I mentioned I like to get references on theory and applied work in this area. 

 

Thanks!

 

Arun Bhattacharyya

AT&T Labs

Florham Park.

NJ 

     

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