| To: | <s-news@lists.biostat.wustl.edu> |
|---|---|
| Subject: | MDS on longitudinal data |
| From: | "Bhattacharyya, Arunava, ALABS" <arunb@att.com> |
| Date: | Wed, 3 May 2006 19:24:44 -0500 |
| Thread-index: | AcZvES5/ueAEUn8DR8qij+Q3obpX/w== |
| Thread-topic: | 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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