Mixed linear model with nested and interaction term
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
[[alternative HTML version deleted]]
_______________________________________________ R-sig-mixed-models at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models