[R-sig-ME] Mixed linear model with nested and interaction term

[Ben Bolker]

  This seems like a reasonable model specification.  Can you show us
the results you're getting from R and SAS, and your SAS syntax (some
people here understand that language), so that we can see what looks
different?  (It would help if you also wrote a few sentences about
what you see as the important differences between the results.)

On Fri, May 4, 2018 at 2:30 PM, Lin, Heng-An <henganl2 at illinois.edu> wrote:
> Hi all,
>
> I am analyzing my data with following model,
>
> model1 <- lmer(Yield~Treatment+(1|Location)+(1|Location:Treatment)+(1|Location:Block), data=A)
>
> in here, I want to set an random interaction term (Location*treatment) and an random nested term (block nested within location).
>
> But I couldn't get similar ANOVA results when I compare the output with SAS porc mixed output.
>
> So, I think i might make some mistake in the model in R...
>
> Can anyone give me some suggestion?
>
> Thanks in advance!
>
> Heng-An
>
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>
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