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subj
2004 Jan 15
1
nlme vs aov with Error() for an ANCOVA
...t; so it can be seen as an ANCOVA
subject age.group bold rt
subj1 0 0.08 0.234
subj1 0 0.05 0.124
..
subj1 0 0.07 0.743
subj2 0 0.06 0.234
subj2 0 0.02 0.183
..
subj2 0 0.05 0.532
subjn 1 0.09 0.234
subjn 1 0.06 0.155
..
subjn 1 0.07 0.632
I decided to use the nlme library:
patrizia.lme <- lme(bold ~ rt*age.group, data=patrizia.data1, random= ~
rt |subject)
> summary(patrizia.lme)
Linear mixed-effects model fit by REM...