This probably has been asked many a times, but I cannot find the answer. I'm trying to interpret the output that I get from lmer. My code is as follows:

Model1<- lmer(DV ~ Eduy_IMP + Gender + Age + APOEdich_IMP + predictor + Time:Factor2:Factor1*predictor + (1 + Time|Study),Data)
summary(Model1, ddf="Kenward-Roger")

DV = Dependant variable; Factor2 has levels 1,2,3; Factor1 has levels 0, 1.

Here is my Output:

My Question: I need to be able to report a coefficient for the predictor in the following groups: Predictor in each of the individual levels of Factor1 and Factor2. How do I get this? I even tried having different data sets and running the above code, but I cannot get a coefficient for these.

My aim is to see the influence of the predictor on the DV in Factor1 and Factor2.

Please could someone help?

This probably has been asked many a times, but I cannot find the answer. I'm trying to interpret the output that I get from lmer. My code is as follows:

Model1<- lmer(DV ~ Eduy_IMP + Gender + Age + APOEdich_IMP + 
     predictor + Time:Factor2:Factor1*predictor + 
     (1 + Time|Study), Data)
summary(Model1, ddf="Kenward-Roger")

DV = Dependant variable; Factor2 has levels 1,2,3; Factor1 has levels 0, 1.

Here is my Output:

My Question: I need to be able to report a coefficient for the predictor in the following groups: Predictor in each of the individual levels of Factor1 and Factor2. How do I get this? I even tried having different data sets and running the above code, but I cannot get a coefficient for these.

My aim is to see the influence of the predictor on the DV in Factor1 and Factor2.