mixed model ANCOVA

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?

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 ...)