I�m running a mixed model analysis with 2 fixed factors that are
intercorrelated using the lme function and I�m having difficulties in
interpreting the results.
As I�m quite novice I�ll try to use a very simple example.
My model is lme(Y~A*B). A has 3 levels (1, 2 and 3) and B has 2 levels (I and
II).
My results are something like this:
P statistic
B:II
P=0.01
A:2
P=0.01
A:3
P=0.09
II*2
P=0.61
II*3
P=0.031
My question is as follows. I understand that R keeps a level of each factor and
reports any statistical differences to it. So in this example it reports that
II is different than I and 2 against 3. However when it comes to the
intercorrelation, what does it report? Does it compare II*2 and II*3 to II*1
and if so what happens with I*2 and I*3? Or does it compare II*2 to I*2 and
II*3 to I*3 and if so what happens to I*1 and II*1?
Thank you
Vasillis
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