[R] r crossed nested random effects lme4
bgunter@4567 @end|ng |rom gm@||@com
Thu Jun 28 03:48:08 CEST 2018
Generally speaking, purely statistical issues are off topic on this forum,
which is about programming in the R language. More to the point, the
r-sig-mixed-models forum is concerned with questions about mixed effects
models, so you should post there.
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Wed, Jun 27, 2018 at 1:42 PM, audusseau jean via R-help <
r-help using r-project.org> wrote:
> I am new to this forum. I try to find the appropriate model for the
> following data set with lme4:
> Each individual subject goes through 3 conditions ("Group", within-subject
> factor). These 3 conditions include 9 items (3 items in each condition, but
> the items differ in each condition). Score (4th column not represented
> above) is a continuous dependant variable (reaction time).I am interested
> in the fixed effect of the "Cond" variable and also would like to take into
> account the dependencies between my factors, but I have difficulties to
> know if my factors should be considered as nested or crossed.Does the
> following model seems correct to you ?Score~1+Cond+(1|Subject)+(1|item).Any
> help would be much appreciated.
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> and provide commented, minimal, self-contained, reproducible code.
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