[R-sig-ME] the model with warning

Thierry Onkelinx th|erry@onke||nx @end|ng |rom |nbo@be
Tue May 18 18:51:49 CEST 2021

I second Ben's suggestions. You need a statistician to look into your data
and model in order to get an idea why and where the rank deficiency occurs.
Only then you'll know how you can either solve that problem or if it's safe
to ignore it.

ir. Thierry Onkelinx
Statisticus / Statistician

Vlaamse Overheid / Government of Flanders
Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance
thierry.onkelinx using inbo.be
Havenlaan 88 bus 73, 1000 Brussel

To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to say
what the experiment died of. ~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data. ~ Roger Brinner
The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of data.
~ John Tukey


Op di 18 mei 2021 om 18:00 schreef Ben Bolker <bbolker using gmail.com>:

>     (Personal opinion follows.) I don't think you need to report these
> warnings in the main section of a paper **as long as you understand what
> they are telling you and are reasonably certain that they do not
> represent a problem with the interpretation/robustness of your
> results**.  These are kinds of the details that would go into
> supplementary material, if at all.
>    But this does sound like it might be a case where you should try to
> find more dedicated statistical advice than you can get from an internet
> forum ...
>    Ben Bolker
> On 5/18/21 10:25 AM, Atsuko Nakagawa wrote:
> > Hi
> >
> > Thank you so much. But if so, can I report these results in my academic
> > paper? Or how can I report these results properly to reviewers in my
> > paper ? Or do we have to continue to find the model without warning for
> > the academic paper?  If you have any suggestion, please let me know.
> >
> > Atsu
> >
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