Cara,
Perhaps I a bit ignorant about mixed models, but I don’t understand why you
have the dependent variable included as a random effect.
The variable names you are using suggest an analysis of combined trials, so (1
| Site/Block/Strip.ID) seems more appropriate. Is this a factorial or a
spli
Hello,
I am looking at a data set predicting number of plants (FERO) based on fixed
effects sowing method (Method) and sowing rate (Rate). I also have a slope
random effect for the site and intercept random effects for the nested
variables Block and Strip.ID (to account for experimental design). I
I ran an example using glmmADMB, and I got this error:
data(bacteria,package="MASS")
bacteria$present <- as.numeric(bacteria$y)-1
(bfit <- glmmadmb(present ~ trt + I(week > 2), random = ~ 1 | ID,
+ family = "binomial", data = bacteria))
Error in paste0(symbol1, paste0(paste0(var, collapse = symb
Hi there,
I am using R version 2.14.2, package glmmADMB
Here is the entire script:
calls <- read.csv(file.choose())
> callsna <- na.omit (calls)
> mod <- glmmadmb(LESP.CHUCKLE~
> Years.Erad+IS+Ref+Moon+Wind.Speed+Dist.Buldir+(1|SITE/ISLAND),
> data=callsna, zeroInflation=TRUE, family="nbinom")
>
On Tue, May 8, 2012 at 9:06 PM, rbuxton wrote:
> Update!
>
> I changed the "site" categories. I noticed that I had coded them as
> "North,
> South, East, West" on different islands, which may have caused confusion in
> the model.
>
> [...]
> mod <- glmmadmb(LESP.CHUCKLE~ 1+(1|ISLAND), data=ca
Update!
I changed the "site" categories. I noticed that I had coded them as "North,
South, East, West" on different islands, which may have caused confusion in
the model.
Now I get a whole new error message!
Error in glmmadmb(LESP.CHUCKLE ~ 1 + (1 | SITE/ISLAND), data = callsna, :
The fu
On Tue, May 8, 2012 at 5:16 PM, rbuxton wrote:
> http://r.789695.n4.nabble.com/file/n4618871/Data_for_list_serve.csv
> Data_for_list_serve.csv
>
> Here is my data, hope this helps.
>
> The "LESP CHUCKLE" , "FTSP FLIGHT", and "ANMU CHIRRUP" are the dependent
> variables, I want to run one model fo
http://r.789695.n4.nabble.com/file/n4618871/Data_for_list_serve.csv
Data_for_list_serve.csv
Here is my data, hope this helps.
The "LESP CHUCKLE" , "FTSP FLIGHT", and "ANMU CHIRRUP" are the dependent
variables, I want to run one model for each.
So, again the desired model is:
mod <- glmmadmb(LE
rbuxton hotmail.com> writes:
> I am new to the package glmmadmb, but need it to perform a
> zero-inflated gzlmm with a binomial error structure. I can't seem
> to get it to work without getting some strange error messages.
# I am trying to find out what is affecting the number of seabird
# cal
Hi there,
I am new to the package glmmadmb, but need it to perform a zero-inflated
gzlmm with a binomial error structure. I can't seem to get it to work
without getting some strange error messages.
I am trying to find out what is affecting the number of seabird calls on an
array of recorders pl
On Dec 6, 2011, at 7:46 PM, Messmer,Dave [Sas] wrote:
After copy and pasting the code for installation of glmmADMB package
suggested at http://glmmadmb.r-forge.r-project.org/, I receive this
message.
install.packages("glmmADMB",
repos="http://r-forge.r-project.org",type="source";)
Warning me
Hi Dave,
You should be okay if you update to a recent version of R, so in a
way, yes, it is temporary :)
Cheers,
Josh
On Tue, Dec 6, 2011 at 4:46 PM, Messmer,Dave [Sas]
wrote:
> After copy and pasting the code for installation of glmmADMB package
> suggested at http://glmmadmb.r-forge.r-projec
After copy and pasting the code for installation of glmmADMB package
suggested at http://glmmadmb.r-forge.r-project.org/, I receive this
message.
> install.packages("glmmADMB",
repos="http://r-forge.r-project.org",type="source";)
Warning message:
In getDependencies(pkgs, dependencies, available, l
[cc'ed back to r-help]
I've started to take a look, and there's nothing immediately obvious
about the problem with the fit (the warnings and errors are about a
"non-positive-definite Hessian", which usually means an
overfitted/poorly identified model) -- still working on whether there's
a way to
chchjames windowslive.com> writes:
>
> Thanks for the reply Ben. I tried it with verbose=TRUE, and got about 7 pages
> of a word doc as an output, that ended with the error "Error in
> glmmadmb(stainp ~ beetle.ev + Caged * Section/SegmentT + (1 | :
> The function maximizer failed".
>
> I am
Thanks for the reply Ben. I tried it with verbose=TRUE, and got about 7 pages
of a word doc as an output, that ended with the error "Error in
glmmadmb(stainp ~ beetle.ev + Caged * Section/SegmentT + (1 | :
The function maximizer failed".
I am not sure how I would best go about posting this, as
chchjames windowslive.com> writes:
[snip]
> I am using the alpha version of glmmadmb, and it works for most of the time
> except for one of my models. The weird thing is that it has worked before, a
> couple of months ago, and for some reason it won't now and nothing has
> changed.
>
> The code
On 15.10.2011 01:06, chchjames wrote:
Hello everyone,
I am using the alpha version of glmmadmb,
Sounds like you want to contact the author of the code rather than R-help.
Uwe Ligges
and it works for most of the time
except for one of my models. The weird thing is that it has worked befor
Hello everyone,
I am using the alpha version of glmmadmb, and it works for most of the time
except for one of my models. The weird thing is that it has worked before, a
couple of months ago, and for some reason it won't now and nothing has
changed.
The code is:
nbin5<-glmmadmb(stainp~beetle.ev+Ca
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