-----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:
$`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
..............................................................
..........
............
Dr Tom C Cameron
Genetics, Ecology and Evolution
IICB, University of Leeds
Leeds, UK
Office: +44 (0)113 343 2837
Lab: +44 (0)113 343 2854
Fax: +44 (0)113 343 2835
Email: t.c.cameron at leeds.ac.uk
Webpage: click here
<http://www.fbs.leeds.ac.uk/staff/profile.php?tag=Cameron_TC>
[[alternative HTML version deleted]]