I have forwarded comments on these issues, in a separate message that is entitled:
"Strata and Degrees of freedom in anova and multi-level modeling" John Maindonald email: [EMAIL PROTECTED] phone : +61 2 (6125)3473 fax : +61 2(6125)5549 Mathematical Sciences Institute, Room 1194, John Dedman Mathematical Sciences Building (Building 27) Australian National University, Canberra ACT 0200. On 15 Feb 2006, at 10:00 PM, [EMAIL PROTECTED] wrote: > From: Peter Dalgaard <[EMAIL PROTECTED]> > Date: 15 February 2006 3:26:27 AM > To: WPhantom <[EMAIL PROTECTED]> > Cc: [email protected] > Subject: Re: [R] A concrete type I/III Sum of square problem > > > WPhantom <[EMAIL PROTECTED]> writes: > >> Thanks Brian for the reference. >> I just discover that it is available in our >> library so I going to take it & read it soon. >> Actually, I don't even know the difference >> between a multistratum vs a single-stratum AOV. A >> quick search on google returned me the R materials so that I imagine >> that these concepts are quite specific to R. > > You have to be careful not to confuse Google's view of the world with > Reality... > > The concept of error strata is much older than R, and existed for > instance in Genstat, anno 1977 or so. However, Genstat seems to have > left little impression on the Internet. > >> I will read the book first before asking for more informations. > > The executive summary is that the concept of error strata relies > substantially on having a balanced design (at least for the random > effects), so that the analysis can be decomposed into analyses of > means, contrasts, and contrasts of means. For unbalanced designs, you > usually get meaningless analyses. > > >> Thanks >> >> Sylvain Clément >> >> At 12:38 14/02/2006, you wrote: >>> More to the point, you are confusing >>> multistratum AOV with single-stratuam AOV. For >>> a good tutorial, see MASS4 (bibliographic >>> information in the R FAQ). For unbalanced data >>> we suggest you use lme() instead. >>> >>> -- >>> Brian D. Ripley, [EMAIL PROTECTED] >> >> ______________________________________________ >> [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 >> > > -- > 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 [[alternative HTML version deleted]]
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