Something does not make sense in R. It has to do with the question of balance and unbalance.
*A<-factor(c(1,1,1,1,1,1,2,2,2,2,2,2))* *B<-factor(c(1,1,2,2,3,3,1,1,2,2,3,3))* *y<-rnorm(12)* *mod<-aov(y~A+B)* I was under the impression that the design is balanced ie order does not effect the sums of squares. However, when I compute the anova R reports that the Estimated Effects are Unbalanced. I thought that when all combinations of levels of A and B have equal replications then the design is called balanced. But, R tends to think that when not all levels of A and levels of B have equal replication, then the "Estimated Effects are unbalanced".... Is this the same as the design being unbalanced? Because for the example below, where the error occured, the order does not matter (which make me think that the design is balanced). *Call:* * aov(formula = y ~ A + B)* *Terms:* * A B Residuals* *Sum of Squares 0.872572 0.025604 16.805706* *Deg. of Freedom 1 2 10* *Residual standard error: 1.296368* *Estimated effects may be unbalanced* -- Yours sincerely, Justin *I check my email at 9AM and 4PM everyday* *If you have an EMERGENCY, contact me at +447938674419(UK) or +60125056192(Malaysia)* [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.