[R-sig-ME] Simulating Data from a Linear Mixed Model

Douglas Bates bates at stat.wisc.edu
Fri Nov 6 20:21:25 CET 2015


On Thu, Nov 5, 2015 at 8:56 AM Hintz, F. (Florian) <F.Hintz at let.ru.nl>
wrote:

> Hi,
>
> I have a question that is very much related to an already existing post (
> https://stat.ethz.ch/pipermail/r-sig-mixed-models/2007q3/000293.html),
> however, I don’t seem to be able to get it to run for my purposes.
>
> I would like to simulate additional data based on a linear mixed effect
> model that has the following structure:
>
> model.full = lmer(rt_log ~ condition + (1+condition|item) +
> (1+condition|subj), data = data)
>
> The dependent variable is continuous. The fixed factor ‘condition’ has two
> levels. Both random factors have random intercepts and random slopes by
> ‘condition’.
>
> Best,
> Florian.
>
> --
> Florian Hintz
> Centre for Language Studies
> Radboud University
> Nijmegen (The Netherlands)
>

It happens that http://arxiv.org/abs/1511.01864, which was uploaded
yesterday, happens to deal with exactly that same model.

	[[alternative HTML version deleted]]



More information about the R-sig-mixed-models mailing list