[R] best way to further analyse a mixed model?

[Panagiotis]

Hi,

I want to ask which way is more effective to further analyse (multiple
comparisons) a mixed model repeated measures anova with 2 fixed factor and 1
random?
anova(lme(expr~treatment*age,random=~1|trial, data)
Is searching for an effect of one factor in each of the subsamples defined
by the second factor the best way 
anova(lme(expr~age,subset=treatment=="sal",random=~1|trial, data).
or use multcomp?

Thank you

Panagiotis


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