Try coef(summary(fit3))
On Thu, Sep 9, 2010 at 11:00 PM, John Sorkin
<jsor...@grecc.umaryland.edu> wrote:
> windows Vista
> R 2.10.1
>
>
> (1) How can I get the complete table of for the fixed effects from lmer. As
> can be seen from the example below, fixef(fit2) only give the estimates and
> not the SE or t value
>
>> fit3<- lmer(y~time + (1|Subject) + (time|Subject),data=data.frame(data))
>> summary(fit3)
> Linear mixed model fit by REML
> Formula: y ~ time + (1 | Subject) + (time | Subject)
> Data: data.frame(data)
> AIC BIC logLik deviance REMLdev
> -126.2 -116.4 70.1 -152.5 -140.2
> Random effects:
> Groups Name Variance Std.Dev. Corr
> Subject (Intercept) 2.9311e+01 5.41396385
> Subject (Intercept) 0.0000e+00 0.00000000
> time 0.0000e+00 0.00000000 NaN
> Residual 8.1591e-07 0.00090328
> Number of obs: 30, groups: Subject, 10
>
> Fixed effects:
> Estimate Std. Error t value
> (Intercept) 14.998216 1.712046 9
> time -0.999779 0.000202 -4950
>
> Correlation of Fixed Effects:
> (Intr)
> time -0.001
>> fixef(fit3)
> (Intercept) time
> 14.9982158 -0.9997793
>
> (2) lmer does not give p values or confidence intervals for the fixed
> effects. How we are to interpret the estimates given that no p value or CI is
> given for the estimates?
>
>
>
>
> John David Sorkin M.D., Ph.D.
> Chief, Biostatistics and Informatics
> University of Maryland School of Medicine Division of Gerontology
> Baltimore VA Medical Center
> 10 North Greene Street
> GRECC (BT/18/GR)
> Baltimore, MD 21201-1524
> (Phone) 410-605-7119
> (Fax) 410-605-7913 (Please call phone number above prior to faxing)
>
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