[R-sig-ME] What does that mean?
m@ech|er @end|ng |rom @t@t@m@th@ethz@ch
Thu May 2 16:20:13 CEST 2019
>>>>> Ben Bolker
>>>>> on Wed, 1 May 2019 15:40:44 -0400 writes:
> On 2019-04-29 8:09 p.m., DESPINA MICHAILIDOU wrote:
>> I am trying to run the following analysis and receive the following output
>> glmm_Comb_PH_tod <- glmer(Comb_PH_tod~ CA_effect + (1 | ID/SCAN_DATE/Side),
>> data=TAK_data, family=binomial(link = "logit"))
what happens if you (Despina Michailidou) add 'verbose = 2,'
in the above call to glmer() ?
You should get output which may help us to help you ..
(Note to lme4 maintainers: I'm working at improving our help
pages so people are less likely to *not* notice the 'verbose' argument.)
>> Error in length(value <- as.numeric(value)) == 1L :
>> (maxstephalfit) PIRLS step-halvings failed to reduce deviance in
>> Error in summary(glmm_Comb_PH_tod) : object 'glmm_Comb_PH_tod' not found
>> How can I fix that? Any suggestions? I am very new to R.
>> Thank you in advance.
> The second error is relatively easy to understand; since your first
> command (using glmer(...)) didn't work, no object "glmm_Comb_PH_tod" has
> been created for you to summarize.
> The first part is harder. My guess would be that there's complete
> separation ; I've added a few more notes about the "PIRLS step-halving"
> error to the GLMM FAQ
> <http://bbolker.github.io/mixedmodels-misc/glmmFAQ.html>. But it's hard
> to know without seeing the actual data.
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