[R-sig-ME] Multiple-membership models with lme4

Thierry Onkelinx th|erry@onke||nx @end|ng |rom |nbo@be
Mon May 18 08:35:41 CEST 2020

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

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what the experiment died of. ~ Sir Ronald Aylmer Fisher
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ensure that a reasonable answer can be extracted from a given body of data.
~ John Tukey


Op ma 18 mei 2020 om 07:32 schreef Sijia Huang <huangsjcc using 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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