-----Oorspronkelijk bericht-----
Van: R-sig-mixed-models [mailto:r-sig-mixed-models-bounces at r-
project.org] Namens Sebastian Sauppe
Verzonden: maandag 16 juli 2018 9:20
Aan: r-sig-mixed-models at r-project.org
Onderwerp: [R-sig-ME] GAMMs: difference smooths in itsadug
Dear list members,
I have a question on the treatment of random effects in plotting difference
smooths for GAMMs with the package itsadug.
I am modelling the time course of binomial data with mgcv::bam. The
simplified formula is: cbind(success, failure) ~ 1 + s(Time, by = Condition) +
s(Subject, Time, bs = ?fs?) + s(Item, Time, bs = ?fs?). The two factor smooths
are supposed to account for the random effects of participants and stimuli in
my experiments.
I would like to use itsadug::plot_diff() to visualize how the two conditions
differ over time. However, I am not quite sure what the rm.ranef argument
argument of this function does. What I basically want to do is to look at the
difference the way one would look at a fixed effect in an GLMER model, i.e.,
looking at the fixed effect of the interaction of Time:Condition after the
variance that can be ascribed to random effects of subjects and items have
been accounted for. Would for this rm.ranef=TRUE or rm.ranef=FALSE be the
right option?
Kind regards,
Sebastian
-----------
Dr. Sebastian Sauppe
Department of Comparative Linguistics, University of Zurich
Homepage: https://sites.google.com/site/sauppes/
<https://sites.google.com/site/sauppes/>
Twitter: @SebastianSauppe <https://twitter.com/SebastianSauppe>
Google Scholar Citations:
https://scholar.google.de/citations?user=wEtciKQAAAAJ
<https://scholar.google.de/citations?user=wEtciKQAAAAJ>
ResearchGate: http://www.researchgate.net/profile/Sebastian_Sauppe
<http://www.researchgate.net/profile/Sebastian_Sauppe>
ORCID ID: http://orcid.org/0000-0001-8670-8197 <http://orcid.org/0000-0001-
8670-8197>
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