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 <laomen...@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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