[R] p values of lmer

[Rune Haubo]

Try

library(lmerTest)
fm1 <- lmer(Reaction ~ Days + (Days|Subject), sleepstudy)
summary(fm1)

Linear mixed model fit by REML
Formula: Reaction ~ Days + (Days | Subject)
   Data: sleepstudy
  AIC  BIC logLik deviance REMLdev
 1756 1775 -871.8     1752    1744
Random effects:
 Groups   Name        Variance Std.Dev. Corr
 Subject  (Intercept) 612.092  24.7405
          Days         35.072   5.9221  0.066
 Residual             654.941  25.5918
Number of obs: 180, groups: Subject, 18

Fixed effects:
            Estimate Std. Error t value Pr(>|t|)
(Intercept)  251.405      6.825   36.84  < 2e-16 ***
Days          10.467      1.546    6.77 3.27e-06 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
     (Intr)
Days -0.138

Cheers,
Rune

On 19 June 2013 11:27, meng <laomeng_3 at 163.com> wrote:
> Hi all:
> I met a question about lmer.
>
> fm1 <- lmer(Reaction ~ Days + (Days|Subject), sleepstudy)
> summary(fm1)
>
> ...
>
> Fixed effects:
>             Estimate Std. Error t value
> (Intercept)  251.405      6.825   36.84
> Days          10.467      1.546    6.77
>
> ...
>
> My question:
> Why p values of (Intercept) and Days are not given?
>
>
> Many thanks!
>
> Best.
>
>         [[alternative HTML version deleted]]
>
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