[R] Finding covariance in a lmer mixed effects model
Viechtbauer Wolfgang (STAT)
Wolfgang.Viechtbauer at STAT.unimaas.nl
Thu Nov 12 08:44:24 CET 2009
The way you have specified the model implies that the covariance is 0.
If you actually want to estimate the covariance, you need to use:
fm1 <- lmer(fpg ~ 1 + time + (time|ID), fpg_lme)
Best,
--
Wolfgang Viechtbauer http://www.wvbauer.com/
Department of Methodology and Statistics Tel: +31 (0)43 388-2277
School for Public Health and Primary Care Office Location:
Maastricht University, P.O. Box 616 Room B2.01 (second floor)
6200 MD Maastricht, The Netherlands Debyeplein 1 (Randwyck)
----Original Message----
From: r-help-bounces at r-project.org
[mailto:r-help-bounces at r-project.org] On Behalf Of Kurt Smith Sent:
Thursday, November 12, 2009 05:56 To: r-help at r-project.org
Subject: [R] Finding covariance in a lmer mixed effects model
> I am having difficulty finding the covariance for the random effects
> in a mixed effects model. I fit this model: fm1 <- lmer(fpg ~ 1 +
> time + (1|ID) + (0+time|ID),fpg_lme)
>
> and want to find the covariance between the time and intercept random
> effects.
>
> I tried using VarCorr (see below) but it does not give the covariance
> or correlation between the random effects. Am I doing something
> wrong?
>
> Thanks,
> Kurt
>
>> summary(fm1)
> Linear mixed model fit by REML
> Formula: fpg ~ 1 + time + (1 | ID) + (0 + time | ID)
> Data: fpg_lme
> AIC BIC logLik deviance REMLdev
> 1499289 1499339 -749639 1499259 1499279
> Random effects:
> Groups Name Variance Std.Dev.
> ID (Intercept) 1.0396e+03 32.2435465
> ID time 1.2199e-05 0.0034926
> Residual 1.1241e+02 10.6025764
> Number of obs: 174042, groups: ID, 55526
>
> Fixed effects:
> Estimate Std. Error t value
> (Intercept) 1.108e+02 1.421e-01 779.9
> time 2.106e-03 6.678e-05 31.5
>
> Correlation of Fixed Effects:
> (Intr)
> time -0.163
>
>
>> VarCorr(fm1)
> $ID
> (Intercept)
> (Intercept) 1039.646
> attr(,"stddev")
> (Intercept)
> 32.24355
> attr(,"correlation")
> (Intercept)
> (Intercept) 1
>
> $ID
> time
> time 1.219857e-05
> attr(,"stddev")
> time
> 0.003492645
> attr(,"correlation")
> time
> time 1
>
> attr(,"sc")
> sigmaREML
> 10.60258
>
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