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: 

[![enter image description here][1]][1]


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? 


  [1]: https://i.sstatic.net/UcKmW.jpg