Hi Sean,
Thanks for the data. Your first problem is that Age is a factor with
14 levels. Second, Year is a factor with 16 levels. Now consider
what interactions of these will be---factors with a huge number of
levels, exceeding what is reasonable to fit to your size of data. I
included inline
I think my problem is that I can't
>> incorporate the 'lake' variable in a fixed-effect interaction because it is
>> only has one binary observation. But I don't know what to do to be able to
>> fit this model. Any help would be greatly appreciated!
>> -Sean
>
> In principle you should be able
Sean Godwin gmail.com> writes:
>
> Hi all,
>
> I am fairly new to mixed effects models and lmer, so bear with me.
>
> Here is a subset of my data, which includes a binary variable (lake (TOM or
> JAN)), one other fixed factor (Age) and a random factor (Year).
> lake FishID Age Increment Year
Hi all,
I am fairly new to mixed effects models and lmer, so bear with me.
Here is a subset of my data, which includes a binary variable (lake (TOM or
JAN)), one other fixed factor (Age) and a random factor (Year).
lake FishID Age Increment Year
1 TOM 1 1 0.304 2007
2 TOM
On Sat, Feb 6, 2010 at 4:45 AM, Martin Bulla wrote:
> Does anybody knows what this error message means: Error in object$terms : $
> operator not defined for this S4 class
The error message means what it says and it doesn't come from lmer, it
comes from the drop1 function being applied to a model
On Feb 6, 2010, at 5:45 AM, Martin Bulla wrote:
Does anybody knows what this error message means: Error in object
$terms : $ operator not defined for this S4 class
I have peformed the following steps:
library(lattice)
library(Matrix)
library(lme4)
inkm inkm$Gamie glm.incm drop1(glm
Does anybody knows what this error message means:
Error in object$terms : $ operator not defined for this S4 class
I have peformed the following steps:
library(lattice)
library(Matrix)
library(lme4)
inkm inkm$Gamie glm.incm drop1(glm.incm,test="Ch") Error in object$terms : $
operato
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