[R] Creating a model with fixed and random variables

[cbarl3y]

I am trying to recreate a model that would mimic results a peer obtained
using SAS, but in R. The goal of this model would be to determine if there
is any variation among parental sets and lines (essentially is there a
significant p-value for the variables “set” and “line”). The problems I am
having are: 

1) The usage of nested data “Line%in%Set”
2) Having to have both fixed and random variables Fixed=Set Random=Line and
Block
3) Results I have obtained usually contain significant Blocking effects.


Code I have used thus far without being able to replicate the data includes:

Fm<-lmer(Score~(1|Line%in%Set)+Set+(1|Block))
 (I figured out how to get a p-value, but it didn't yield the same results
as those obtained in SAS)

Model<-lm(Score~Line%in%Set+Set+Block)  

Overall, I realize that I might be completely off in the way I am attempting
to create this model and any suggestions will be extremely helpful!  Also,
if it would be more helpful I can add a dput() of my data. 




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