Thank you for your reply and sorry for my ambiguity.
I computed:
summary(anova1 <- aov(math ~ as.factor(schoolid), data=nels88))
ICC1(anova1)
ICC1 comes from the multilevel package. I have found an article where it
is pointed out that with this formula:
> 34.011/(34.011+72.256)
[1] 0.320052
2011/2/5 Sebastián Daza :
> Hi everyone,
>
> I need to get a between-component variance (e.g. random effects Anova), but
> using lmer I don't get the same results (variance component) than using
> random effects Anova. I am using a database of students, clustered on
> schools (there is not the same
Hi everyone,
I need to get a between-component variance (e.g. random effects Anova),
but using lmer I don't get the same results (variance component) than
using random effects Anova. I am using a database of students, clustered
on schools (there is not the same number of students by school).
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