[R-sig-ME] Observation-level random effects

[Thierry Onkelinx]

Dear Shanin,

You can't use an observation level random effect with a Gaussian
distribution.
Please provide the number of observations, number of unique families and
number of unique tanks.

Best regards,

Thierry

ir. Thierry Onkelinx
Statisticus / Statistician

Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND
FOREST
Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance
thierry.onkelinx using inbo.be
Havenlaan 88 bus 73, 1000 Brussel
www.inbo.be

///////////////////////////////////////////////////////////////////////////////////////////
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
///////////////////////////////////////////////////////////////////////////////////////////

<https://www.inbo.be>


Op do 8 apr. 2021 om 17:08 schreef Shahinur, Islam <shahinur.islam using mun.ca>:

> Hello All,
> I am having trouble with observation-level random effects while running the
> full model investigating two fixed covariates (one categorical and one
> continuous) and two random covariates (tank and family). While I am using
> the only tank random effect, it works fine, but while I am adding another
> random covariate (family), I am getting the error message: Error: number of
> levels of each grouping factor must be < number of observations (problems:
> family).
>
> FYI, here is my code:
> model1 <- lmer(development~ 1 +cross + egg +cross*egg + (1|Tank)+
> (1|family) ,data=sp)
>
> I do have different family IDs (n=108) for each row, I assume it creates
> the problem.
>
> Your suggestions will be much appreciated!
>
> Regards,
>
> Shahin
>
> <><><><><><><><><><><><><><><><><><><><><><><><><><>
>
> Shahinur S. Islam
> PhD Candidate, Department of Ocean Sciences
> Ocean Sciences Centre, Memorial University of Newfoundland
> St. John's, NL  A1C 5S7, Canada
> Cell: (+1)709-740-3324; Twitter: @EcoEvoGen
>
>         [[alternative HTML version deleted]]
>
> _______________________________________________
> R-sig-mixed-models using r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
>

	[[alternative HTML version deleted]]