John is correct & the error message you got was clear: the error SSP
matrix is of deficient rank.
Possible solutions:
- Regroup the factor levels to fewer and/or
- Combine some of the species to broader classes so you have fewer than
17 response variables
- Collect more samples
hope this helps,
-Michael
John Fox wrote:
Dear Tanya,
If I follow correctly what you're trying to do, you're in effect doing a
one-way MANOVA of 17 response variables on a six-level factor, with only 20
observations. That's not enough data. I'm copying to Michael Friendly in
case he hasn't seen your posting and would like to comment.
Regards,
John
------------------------------
John Fox, Professor
Department of Sociology
McMaster University
Hamilton, Ontario, Canada
web: socserv.mcmaster.ca/jfox
-----Original Message-----
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On
Behalf Of Tanya Yatsunenko
Sent: June-15-08 8:23 PM
To: r-help@r-project.org
Subject: [R] candisc() error message
Hi,
I am doing canonical discriminant analysis using candisc function from
the candisc package.
My input is a table of species distribution (columns = abundance of each
species in each sample) in samples that are split by categories (rows),
and I want to know whether each category is associated with a particular
set of species and their abundances.
I have 20 rows (samples) split into 6 categories, and 17 columns
(species).
I am getting the following error message, which I don't understand:
> can<-candisc(mod, data=canIN)
Error in linear.hypothesis.mlm(mod, hyp.matrix.2, SSPE = SSPE, V = V, :
The error SSP matrix is apparently of deficient rank = 16 < 17
Does anyone has any experience in candisc?
--
Tanya.
[[alternative HTML version deleted]]
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--
Michael Friendly Email: [EMAIL PROTECTED]
Professor, Psychology Dept.
York University Voice: 416 736-5115 x66249 Fax: 416 736-5814
4700 Keele Street http://www.math.yorku.ca/SCS/friendly.html
Toronto, ONT M3J 1P3 CANADA
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