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. ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
