Does anyone know of an R implementation of Rao's (1965) described
'Analysis of Dispersion' which is the generalization of the General
Linear Model, Y = XB, to multiple Y variables and the further use of the method
to 'Test of Additional Information' in one set of Y variables corrected
for a second set of Y variables, i.e. the generalization of covariance analysis.
I have written my own set of R-scripts andy.R and adinfo.R that do it according
to Rao but have not yet found a published R library that does the same with all
the bells and whistles. My version requires setting up a design matrix, X,
melding it with your observation matrix, Y, and producing a YX joint CSV matrix
that the andy.R reads. A more friendly interface would be appreciated for
recommendation to colleagues who are not into design matrices.
http://www.bio.umass.edu/biology/kunkel/pub/r_scripts/andy/
Joe
Rao, C. R. [1965]. Linear Statistical Inference and its Applications. Wiley, New
York
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Joseph G. Kunkel, Professor
Biology Department
University of Massachusetts Amherst
Amherst MA 01003
http://www.bio.umass.edu/biology/kunkel/
