Multiple-membership models with lme4

Dear Sijia,

The error message seems clear to me. The number of random effect levels
must be less than the number of observations. Otherwise the can't distinct
between the random effect and the residual.

Best regards,

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 ma 18 mei 2020 om 07:32 schreef Sijia Huang <huangsjcc at gmail.com>:

Hi everyone,
I am working on estimating multiple membership models with lme4, following
the instructions posted here
https://bbolker.github.io/mixedmodels-misc/notes/multimember.html

Below is my code, in which J2 is the number of clusters (in my case, the
clusters are clique-2s, and J2=1345) and N is the number of participants
(N=968). These participants belong to 0 to 11 of the clique-2s.

I got the below error. Could anyone help? Thanks!

fake2 <- rep(1:J2, length.out=N)
lmod  <- lFormula(formula=y~1+(1|fake2), data=data)

Error: number of levels of each grouping factor must be < number of
observations



Best,
Sijia

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