Observation-level random effects

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 at inbo.be
Havenlaan 88 bus 73, 1000 Brussel
www.inbo.be

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Op do 8 apr. 2021 om 17:08 schreef Shahinur, Islam <shahinur.islam at 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

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