[R] Type II and III sums of squares with Error in AOV
Peter Dalgaard
p.dalgaard at biostat.ku.dk
Wed Nov 9 13:38:20 CET 2005
Prof Brian Ripley <ripley at stats.ox.ac.uk> writes:
> A multistratum aov() fit is just a list of aov() fits, so you can apply
> functions such as Anova to the individual strata.
>
> However, why do you want types II and III sums of squares? It is usual
> to do this type of analysis only with balanced designs. In the cases I
> can envisage that these make any sense, they are the same as type I
> (and in cases with only one treatment effect, they always are).
I was about to make a similar comment. A possible exception is ANCOVA
where you likely want to test both the within-stratum effect of a
covariate and the effect of design factors adjusted for the covariate.
> On Tue, 8 Nov 2005, Jarrett Byrnes wrote:
>
> > I've recently run into the problem of using aov with nested factors,
> > and wanting to get the type II and III sums of squares. Normally Anova
> > from the car package would do fine, but it doesn't like having an Error
> > included, so
> >
> > my.aov <-aov(Response ~ Treatment + Error(Treatment:Replicate))
> > Anova(my.aov, type="II")
> >
> > yields
> >
> > Error in Anova(nested.anova) : no applicable method for "Anova"
> >
> > And lm does not take Error as an argument.
>
> Nor does log()! Is that relevant?
>
> > Error in eval(expr, envir, enclos) : couldn't find function "Error"
> >
> > Is there a way to get these additional types of sums of squares when
> > Error is included in an aov model?
>
> Have you read the reference on the aov help page? That might be a good
> step to deepening your understanding of what Error() does.
>
> --
> Brian D. Ripley, ripley at stats.ox.ac.uk
> Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
> University of Oxford, Tel: +44 1865 272861 (self)
> 1 South Parks Road, +44 1865 272866 (PA)
> Oxford OX1 3TG, UK Fax: +44 1865 272595
>
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--
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
~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX: (+45) 35327907
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