[R-sig-ME] convergence: nearly unidentifiable: very large eigenvalue-Rescale variables?

[Phillip Alday]

Um, how do you have a continuous predictor with levels? Do you mean that
there are only 28 different/unique observed values within that
continuous predictor?

Did you try applying scale() to duration? Or if duration is a response
time, maybe log()?

How many subjects do you have? How many words? Are they fully crossed?

Best,
Phillip


On 18/4/19 1:14 pm, Souheyla GHEBGHOUB wrote:
> Hi everyone,
> 
> I have a continuous predictor, duration, of 28 levels but with a large
> variance (from 0 to 400). This inhibits convergence. I used all techniques
> mentioned in this link lme4 convergence warnings: troubleshooting
> <https://rstudio-pubs-static.s3.amazonaws.com/33653_57fc7b8e5d484c909b615d8633c01d51.html>
> but
> nothing worked : ( ?
> Here is my model:
> 
> *mod <- glmer(response~duration + wfpre + sequence + verbalfreq + PoS +
> Characters + (1|Subject) + (1|Word), glmerControl(optimizer="bobyqa",
> optCtrl = list(maxfun = 2e5)), **data = df, family = 'binomial')*
> 
> Could you please assist me with this?
> Thank you
> Souheyla
> 
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