search for: fac2d

...y<-1:12+rnorm(12) fac1<-c(rep("A",4),rep("B",4),rep("C",4)) fac2<-rep(c("D","C"),6) dat<-data.frame(y,fac1,fac2) tmp<-aov(y~fac1+fac2,dat) the command tmp$coeff gives the fllowing results : (Intercept) fac1B fac1C fac2D 3.307888 2.898187 7.409010 -1.088588 But mean(y) gives 6.199327 and is different of Intercept.. So, I don't understand the parametrization with the aov() function. I would like the estimations with the constraints fac1A+fac1B+fac1C =0 and fac2D+fac2C=0... What is the solution? Than...