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 Thu, 18 Mar 2004, Martin Olivier wrote: > 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 > 3.307888 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? > > > Thanks, > Olivier. > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > > -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html