Message-ID: <39B6DDB9048D0F4DAD42CB26AAFF0AFA64EBD7@usctmx1106.Merck.com>
Date: 2005-08-16T14:35:00Z
From: Liaw, Andy
Subject: regression with more than one observation per x value
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 couldn??t 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 there??s 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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