Sounds like you're looking for something like pure.error.anova in the `alr3'
package on CRAN
Andy
From: Christoph Scherber
Dear R users,
How can I do a regression analysis in R where there is more than one
observation per x value? I tried the example in Sokal&Rohlf
(3rd edn.,
1995), page 476 ff., but I somehow couldnt find a way to
partition the
sums of squares into "linear regression", "deviations from
regression",
and within-groups SS.
I tried
model1<-lm(y~as.numeric(x)+as.factor(x) #with treatment contrasts
but I am sure theres a better way around it. I would be very
happy if
anyone could give me some suggestions on this.
Best regards
Christoph.
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