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...0.004317 0.920 0.62738 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 (Adjusted p values reported -- single-step method) Thank you very much for your help Christina -- Christina Sch?del Institute of Botany University of Basel Sch?nbeinstrasse 6 CH-4056 Basel ph. +41 61 267 35 06 fax +41 61 267 29 80 E-Mail C.Schaedel at unibas.ch

..."E" >y.anova <- aov(y + C(CO2,c(1,0,-1)) ) Error in "contrasts<-"(*tmp*, value = contr) : wrong number of contrast matrix rows What is the way to do this in R? Thanks Pascal -- Dr. Pascal A. Niklaus Institute of Botany University of Basel Sch?nbeinstrasse 6 CH-4056 Basel / Switzerland

...he R-helps that people use the lme functiona instead of aov. Which one is more appropriate? - with the aov function can I also eliminate the non significant factors to simplifiy the model? Thanks a lot for your answers Christina -- Christina Sch?del Institute of Botany, University Basel Sch?nbeinstrasse 6 CH-4056 Basel ph. +41 61 267 35 06 fax +41 61 267 29 80 E-Mail C.Schaedel at unibas.ch

Given a set of data: > names(data) [1] "city" "house" "visit" "value" I am looking for a way to compute the variance components of the nested model (ie, visit 1 at house 2 at city 3 isn't related to visit 1 and house 2 at city 4), but different houses in the same city may be related, and different visits to the same house are probably