Hi all,
Suppose the following data and the simple model
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
3.3
This is nothing to do with aov: if you want to look at coefficients you
may as well use lm(). The idea of aov is to look at factors as a whole.
You do need to understand codings: looks like you want to specify
contr.sum contrasts. The best place to read about this is chapter 6 of
MASS.
On T
