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 -·. .· ·. .><((((º>·. .· ·. .><((((º>·. .· ·. .><((((º> .··.· >=- =º}}}}}>< Joseph G. Kunkel, Professor Biology Department University of Massachusetts Amherst Amherst MA 01003 http://www.bio.umass.edu/biology/kunkel/ ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
