On 2/21/06, Christoph Buser [EMAIL PROTECTED] wrote:
Hi Rick
There may be a better way, but the following should work:
attributes(vc.fit)$sc
That works but a more direct way would be
attr(vc.fit, sc)
By the way, that value is the estimated standard deviation not the
estimated variance.
Regards,
Christoph Buser
--
Christoph Buser [EMAIL PROTECTED]
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 - [EMAIL PROTECTED]
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
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