I have an in press paper on HE plots,
http://www.math.yorku.ca/SCS/Papers/heplots.pdf
that describes methods to visualize the dimensionality of effects
in MLMs.  The implementation is in SAS, but there's a link to
a rudimentary R function in the paper.
-Michael

A. Bolu Ajiboye wrote:

> Can R do a repeated measures MANOVA and tell what dimensionality the 
> statistical variance occupies?
> 
> I have been using MATLAB and SPSS to do my statistics.  MATLAB can do ANOVAs 
> and MANOVAs.  When it performs a MANOVA, it returns a
> parameter d that estimates the dimensionality in which the means lie.  It 
> also returns a vector of p-values, where each p_n tests
> the null hypothesis that the mean vectors lie in an n-1 dimensional space 
> (0-D space implies same vector, 1-D space implies scaled
> vectors that point in the same direction, etc...).  However, MATLAB does not 
> do repeated measures MANOVA.  SPSS can do repeated
> measures MANOVA but it does not return this dimension output.  Hence, I'm 
> trying to find an environment that will allow me to do
> repeated measures MANOVA and determine the dimensionality of the space, 
> before I spend several weeks trying to learn it.
> 
> I know the dimensionality parameter is based upon the eigenvalues of the 
> ratio of the different SSCP (sum of squares and cross
> products) matrices, but a) I'm not sure how to calculate the SSCP matrices 
> for repeated measures MANOVA, and b) once I get these
> eigenvalues and convert them a Pillai-Bartlett or Wilk's-Lambda value, I 
> don’t know how to convert to an f-statistic.
> 
> Does anybody know how to do this or has repeated measures MANOVA in R (while 
> returning the dimensionality parameter)?  Thanks in
> advance for your help.
> 
> Bolu 
> 
> 
> 
> --
> 
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-- 
Michael Friendly     Email: friendly AT yorku DOT ca
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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