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[lme4]Coef output with binomial lmer
3 messages · Tom Cameron, Doran, Harold
The extractor function for the fixed effects is fixef(), not coef(). Out of curiosity, why are you using (1|ass%in%pop%in%fam)? This notation is non-standard and does not define the nesting structure of the data. I think you want (1|ass/pop/fam)
-----Original Message----- From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Tom Cameron Sent: Friday, August 08, 2008 11:47 AM To: r-help at r-project.org; r-sig-mixed-models at r-project.org Subject: [R] [lme4]Coef output with binomial lmer Dear R users I have built the following model m1<-lmer(y~harn+foodn+(1|ass%in%pop%in%fam),family = "quasibinomial") where y<-cbind(alive,dead) where harn and foodn are categorical factors and the random effect is a nested term to represent experimental structure e.g. Day/Block/Replicate ass= 5 level factor, pop= 2 populations per treatment factor in each assay, 7 reps per population The model can be family = quasibinomial or binomial My complete lack of understanding is in retrieving the coefficients for the fixed effects to back-transform the effects of my factors on proportional survival I get the following output:
coef(m1)
$`ass %in% pop %in% fam`
(Intercept) harn1 harn2 foodn2
FALSE 1.0322375 -0.1939521 0.0310434 0.810084
TRUE 0.5997679 -0.1939521 0.0310434 0.810084
Where FALSE and TRUE refer to some attribute of the random effect
My hunch is that it refers to the Coefficients with (=TRUE)
and without
(=FALSE) the random effects?
Any help appreciated
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Dr Tom C Cameron
Genetics, Ecology and Evolution
IICB, University of Leeds
Leeds, UK
Office: +44 (0)113 343 2837
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Email: t.c.cameron at leeds.ac.uk
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