Hi,

I am well aware of the reasons why P values don't exist, but that wasn't my
question.  My question, and maybe I should have provided clarification in
my first inquiry, was I notice papers publishing p values and F statistics
for fixed effects, including the intercept.  I am using lmerTest to get F
statistics and P values for all fixed effects except for the intercept.  If
said papers do not mention how they are getting a P value for the
intercept, how do you think they are getting it?

Jacob


On Fri, Sep 13, 2013 at 3:23 PM, Doran, Harold <HDoran@air.org> wrote:

> Jacob
>
> In terms of (1), see the ?ranef help and specifically the postVar
> argument. That will return the conditional variances which you can use for
> the Cis you desire.
>
> In terms of (2), this is a longstanding issue with mixed models and has
> been well-discussed on this list for years. See the link below for a
> description/rationale for why p-values, etc do not appear.
>
> The main issue is that it is unknown what distribution that statistics
> actually follow.
>
> https://stat.ethz.ch/pipermail/r-help/2006-May/094765.html
>
> On 9/13/13 2:11 PM, "AvianResearchDivision" <segerfan83@gmail.com> wrote:
>
> >Hi all,
> >
> >I have a couple of seemingly basic questions about the lmer output.  I am
> >running a model with random slopes and intercepts, along with a couple of
> >fixed effects.  I am using lmerTest to obtain F statistics and P values as
> >well.  My questions are:
> >
> >1.  How do I obtain 95% CI for the random effects?
> >
> >2.  If I use anova(model, ddf="Kenward-Roger"), I get F statistics and P
> >values for my fixed effects, however, it never gives me a F statistic or
> >degrees of freedom for the intercept.  How can I obtain this?
> >
> >Thank you for your help ahead of time.
> >
> >Jacob
> >
> >       [[alternative HTML version deleted]]
> >
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>
>

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