[R-sig-ME] [R] mixed model ANCOVA

[Ben Bolker]

PS it might be worth considering (fixed) interactions of Race, Sex,
Emotion with Score as well, if you have enough data to make it
feasible.

On Sun, Jun 28, 2015 at 10:06 PM, Ben Bolker <bbolker at gmail.com> wrote:
> On Sun, Jun 28, 2015 at 11:45 AM, Ian Danilevicz
> <iandanilevicz at gmail.com> wrote:
>> Hy,
>> I have read a post about mixed models (the link is below) and I still in
>> doubt.
>>
>> https://stat.ethz.ch/pipermail/r-help/2013-December/364091.html
>>
>> the problem was:
>>
>>>* * 1 subject factor (random, between subjects) called Subject
>> *>* * 3 categorical within subjects factors called Emotion, Sex, Race
>> *>
>>
>> * * 1 continuous covariate (**WITHIN subjects**) called Score*
>>
>>
>>
>> *the suggested models were:*ModelRT <- lmer(logRT ~ Race*Sex*Emotion +
>> (1 | Subject))
>>
>> or using lme from the nlme package:
>>
>> ModelRT <- lme(logRT~Race*Sex*Emotion, random=~1|Subject)
>>
>>
>> However, where is the Score variable?
>
>   Please try not to send HTML-formatted e-mail to the list ...
>
>   You're right, I was too hasty in answering that question.  I think it should
> have been
>
> ModelRT <- lmer(logRT ~ Race*Sex*Emotion + Score +  (Score | Subject))
>
> (I'm a little bit suspicious of the original description, which says
> that Sex and Race are "within-subjects" factors ...)