Dear R users,
I am working on a lmer regression. I have two modality factors (factors A and
B), and one that has four levels (factorC). For this factor, I want to compare
level 1 with level 2, then level 1 with 3 and level 1 with 4.
model = lmer(DV ~ factorA + factorB + factorC + factorA*factorC +
(1|Corpustext), data=corpus, family="binomial",contrasts = list(factorC =
"contr.helmert"))
- I've included helmert contrast in the model, but how can I make sure that the
contrasts are the ones I intended?
- If the interaction between factorA and factorC is not significant for one
contrast, shall I remove this contrast (then, how can I do that) or keep it in
the final model?
Finally, when I check my actual final model with the somers2 function, I get
the following values:
C Dxy n Missing
0.769677 0.539354 1311.000000 0.000000
- Is my model properly fitted? (I know a Dxy of 1 is a perfectly fit model)
Many thanks for your help.
Claire Delle Luche
Laboratoire Dynamique du Langage
14, avenue Berthelot
69007 Lyon
France
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