You're right-- I think we're not talking about the same thing. It looks to me like the hov() function in the HH package is a test for whether or not the variances are different. What I was looking for was a test (also by Brown-Forsyth, and referred to as the F* statistic in my textbook) for testing whether means are different-- a test useful for the case where the distribution is non-normal (e.g. skewed) and the variances are unequal.
On Wed, Apr 16, 2008 at 3:18 PM, Peter Dalgaard <[EMAIL PROTECTED]> wrote: > > Richard M. Heiberger wrote: > > > The Brown-Forsyth test is included in the HH library in function hov(). > > hov is "homogeneity of variance". > > Use > > hov(y ~ x, data=mydata) > > and > > plot.hov(y ~ x, data=mydata) > > > > > > > Are you guys talking about the same thing? One seems to be talking about a > modified F test for comparison of means, the other about comparison of > variances. > > > > Rich > > > > ______________________________________________ > > 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. > > > > > > > -- > O__ ---- Peter Dalgaard Øster Farimagsgade 5, Entr.B > c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K > (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 > ~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907 > > > -- Paul Lynch Aquilent, Inc. National Library of Medicine (Contractor) ______________________________________________ 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.
