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> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
> Behalf
> Of S Ellison
> Sent: Monday, August 05, 2013 4:55 AM
> To: cbarl3y; r-help@r-project.org
> Subject: Re: [R] Creating a model with fixed and random var
> 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)
%in% doesn't generally mean 'nested in' in R. It is a set m
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
havin
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