[R] [lme4]Coef output with binomial lmer

[Mark Difford]

Hi Tom,

>> 1|ass%in%pop%in%fam

This is "non-standard," but as you have found, it works. The correct
translation is in fact

1|fam/pop/ass

and not 1|ass/pop/fam as suggested by Harold Doran. Dropping %,
ass%in%pop%in%fam reads [means] as: nest ass in pop [= pop/ass], and then
nest this in fam == fam/pop/ass

HTH, Mark.


T.C. Cameron wrote:
> 
> 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
>  
> 
> ........................................................................
> ............
> 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]]
> 
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