[R] Repeated Measures MANOVA in R
Michael Friendly
friendly at yorku.ca
Thu Nov 9 14:56:32 CET 2006
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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