R help - Aug 2005 - regression with more than one observation per x value

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.

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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