On Jun 19, 2013, at 15:02 , R. Michael Weylandt wrote:
> On Wed, Jun 19, 2013 at 10:27 AM, meng wrote:
>> Hi all:
>> I met a question about lmer.
>>
>> fm1 <- lmer(Reaction ~ Days + (Days|Subject), sleepstudy)
>> summary(fm1)
>>
>> ...
>>
>> Fixed effects:
>>Estimate Std. Error t
On Wed, Jun 19, 2013 at 10:27 AM, meng 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
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 17521744
Random effects:
Groups NameV
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 1.5466.77
...
My question:
Why p values of (Intercept) an
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