On Mon, 28 Jul 2003, Joerg Schaber wrote:
> I wonder if there is a possibility to avoid that R sets one level of a
> factor equal zero in a model fit.
>
> More precisely, I want to fit a two-way unbalanced linear model: o ~ 0 +
> x + y
> x is a factor with 10 levels, y is a factor with 9 levels. In order to
> get a unique solution
> i set the intercept =0 and impose that sum(y)=0 i.e.
> res <- lm(o ~ 0 + x + y, contrasts=list(y=("contr.sum")))
>
> However, R keeps returning only 8 coefficients for y. I assume that
> internally one coefficient is always set to zero. But when I impose
> "contr.sum", setting one coef to zero is no longer really nessasary,
> isn't it?
No coefficient is set to 0: only 8 are defined: see the help for contr.sum
and the exposition in chapter 6 of MASS.
> So my questions is, if there is a way yo avoid that, or am I completely
> mistaken?
The second.
--
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
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