[R-sig-ME] Error structure for split-split plot with treatment across blocks

S Ellison S.Ellison at lgcgroup.com
Tue Oct 22 15:25:36 CEST 2013



> -----Original Message-----
> From: Elizabeth Graham [mailto:sharon.graham at pg.canterbury.ac.nz]
> Sent: 21 October 2013 20:27
> m2<-lme(log(density)~Treatment*Shade*Leaves,
>                         random=~1|Stream/Shade/Leaves)
> 
> was actually my original model structure, but has the same incongruity
> between model results and interaction plots - try
> interaction.plot(Shade, Treatment, density) for an example - the
> treatment and control lines do not intersect at all, and standard error
> bars do not overlap.  

The default interaction.plot doesn't use the Stream random effect in its error bars; it's using the group means and standard errors based on assumed simple independent replication. Those 'replicates' aren't independent. That will tend to give underestimated standard errors compared to a correct nested random effects structure, as the Stream effect is quite big. 

S Ellison


*******************************************************************
This email and any attachments are confidential. Any use...{{dropped:8}}



More information about the R-sig-mixed-models mailing list