[R] Conveting SAS Proc mixed to R code

[Ben Bolker]

Kevin Wright <kw.stat <at> gmail.com> writes:

> 
> > I am trying to teach myself R and replicate some previous SAS analysis.
> > Could someone please help me translate the following SAS code into R.
> >
> > Proc mixed method=ml
> > Class Group Treatment Stream Time Year;
> > Model Logrpk=Treatment Time Treatment*Time;
> > Random Group Stream (Group Treatment) Year(Time);
> >
> 
> Assuming you have a data frame "dat" with these factors: Group Treatment
> Stream Time Year
> And continuous response: logrpk
> 
> This code is a starting point: (I'm not sure exactly what the SAS syntax
> means).
> 
> require(lme4)
> m1 = lmer(logrpk ~ treatment*time + (1|Group) + (1|Stream:Group:Treatment) +
> (1|Year:Time), data=dat)
> 

  Can I please suggest that (Treatment|Stream:Group) or something 
like it is more appropriate than (1|Stream:Group:Treatment)?  In
general, what goes on the LEFT of the bar is an intercept or fixed
effect (i.e. something that varies between groups); what goes on
the RIGHT of the bar is a grouping variable.  Thus if a fixed effect
terms ends up on the right of the bar, something funny is going on.

  Ben Bolker