Hi Rick
There may be a better way, but the following should work:
attributes(vc.fit)$sc
Regards,
Christoph Buser
--------------------------------------------------------------
Christoph Buser <buser at stat.math.ethz.ch>
Seminar fuer Statistik, LEO C13
ETH (Federal Inst. Technology) 8092 Zurich SWITZERLAND
phone: x-41-44-632-4673 fax: 632-1228
http://stat.ethz.ch/~buser/
--------------------------------------------------------------
Rick DeShon writes:
> Hi All.
>
> I need a bit of help extracting the residual error variance from the
VarCorr
> structure from lmer.
>
> #Here's a 2-way random effects model
> lmer.1 <- lmer(rating ~ (1|person)+(1|rater), data = dat)
>
> #Get the structure
> vc.fit <- VarCorr(lmer.1)
>
> #results in.....
> $person
> 1 x 1 Matrix of class "dpoMatrix"
> (Intercept)
> (Intercept) 0.7755392
>
> $rater
> 1 x 1 Matrix of class "dpoMatrix"
> (Intercept)
> (Intercept) 0.2054469
>
> attr(,"sc")
> [1] 0.5051518
>
> #I can pull out the person and rater variance components easy enough. For
> example...
> vc.person <- vc.fit$person at x
>
> I'm sure it's simple but I have not been able to grab the residual
variance
> in the last matrix. I simply wish to asign the residual to a scalar
> variable. Any suggestions would be appreciated!
>
> Thanks!
>
> Rick DeShon
>
>
> --
> Rick DeShon
> 306 Psychology Building
> Department of Psychology
> Michigan State University
> East Lansing, MI 48824-1116
>
> [[alternative HTML version deleted]]
>
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