using MANOVA in R
Prof Brian D Ripley <ripley at stats.ox.ac.uk> writes:
Not really any of it! multilm fits multivariate linear models and does Hotelling T^2 tests. It does not group terms for AOV, and I think is only applicable for continuous variates (not factor explantory variables). Certainly the help and examples only discuss that case.
Had a closer look. The factor expl.var. would seem to be there case-wise, so you can build the models, but Wilk's Lambda and friends are absent, so you cannot (easily) do multi-df model reduction tests. However, it's no too far off. Is the author planning to develop it further?
norm is about multivariate normal data, no regressors, AFAIK. Various people have pointed out the dangers of that: how often is iid on a multivriate normal population appropriate?
Not often, but sometimes things fall apart into several homogeneous groups and then it can be used as a building block. I've used something like this for an RCT a while back back.
O__ ---- Peter Dalgaard Blegdamsvej 3 c/ /'_ --- Dept. of Biostatistics 2200 Cph. N (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX: (+45) 35327907 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._