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 > > > > -- > > ______________________________________________ > [email protected] 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. -- 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 ______________________________________________ [email protected] 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.
