11:24
> Aan: ONKELINX, Thierry
> CC: r-help@r-project.org
> Onderwerp: Re: [R] Mixed Effects Model on Within-Subjects Design
>
> Hi Thierry,
>
> Thank you so much for your response! I ran the model and I
> obtained some strange results (see below). Is there a simple
>
acted from a given body of data.
> ~ John Tukey
>
>
>> -Oorspronkelijk bericht-
>> Van: r-help-boun...@r-project.org
>> [mailto:r-help-boun...@r-project.org] Namens Dave Deriso
>> Verzonden: donderdag 20 mei 2010 9:27
>> Aan: David Atkins
>> CC:
help-boun...@r-project.org
> [mailto:r-help-boun...@r-project.org] Namens Dave Deriso
> Verzonden: donderdag 20 mei 2010 9:27
> Aan: David Atkins
> CC: r-help@r-project.org
> Onderwerp: Re: [R] Mixed Effects Model on Within-Subjects Design
>
> Hi Dave,
>
> Thank you for your
Hi Dave,
Thank you for your helpful advice. I will take a look at the multicomp package.
I was wondering where the lme() function outputs the interaction
between condition*difficulty?
Below is the output to the code I had originally sent. Which one of
these is condition*difficulty?
Fixed effect
Hi Dave,
Thank you for your helpful advice. I will take a look at the multicomp package.
I was wondering where the lme() function outputs the interaction
between condition*difficulty?
Below is the output to the code I had originally sent. Which one of
these is condition*difficulty?
Fixed effect
Dave--
Given that you want all comparisons among all means in your design, you
won't get that directly in a call to lme (or lmer in lme4 package).
Take a look at multcomp package and its vignettes, where I think you'll
find what you're looking for.
cheers, Dave
--
Dave Atkins, PhD
Research
Dear R Experts,
I am attempting to run a mixed effects model on a within-subjects repeated
measures design, but I am unsure if I am doing it properly. I was hoping
that someone would be able to offer some guidance.
There are 5 independent variables (subject, condition, difficulty,
repetition) and
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