Dear All,
I sent already before a message concerning Levene's test in nested model,
but I didn't get any answer. Optimistically I hope to get an answer this
time. I also point a new question related to the whole model, because I
haven't find any sure answer if I am analysing it in a suitable way or
not. I really have tried to do my homework.
I have response variable (y) and four factors (a, b, c, d). One of
these four factors (d) is nested within another factor (c). In addition,
I would like to take into account only 2nd degree interactions in my
model.
I tried to analyse this model in the following ways (both gave same
results):
> model1<-aov(y~(a+b+c)^2 + Error(d))
> model2<-aov(y~(a+b+c)^2 + Error(d%in%c))
Is this correct?
I guess another option would be lme in package nlme
> model3<-lme(y~(a+b+c)^2, random=~1|d)
> anova(model3)
I am also willing to test homogenity of variances in this model using
Levene's test. How to do it in this kind of case?
I'll appreciate all advices.
With kind regards
-Emilia
-------------------------------------
Emilia Pippola, research assistant
University of Oulu
Personal address (NEW!):
Rautalammintie 3 B 306
FIN-00550 Helsinki, Finland
Mobile: +358-50-5402551
E-mail: epippola at mail.student.oulu.fi
