[R-sig-ME] Response variable with zero variance

ONKELINX, Thierry Thierry.ONKELINX at inbo.be
Fri Aug 10 14:44:36 CEST 2012

Dear Tonya,

Can you give us the output of the model summary?

Best regards,

ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest
team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
Kliniekstraat 25
1070 Anderlecht
+ 32 2 525 02 51
+ 32 54 43 61 85
Thierry.Onkelinx op 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

-----Oorspronkelijk bericht-----
Van: r-sig-mixed-models-bounces op r-project.org [mailto:r-sig-mixed-models-bounces op r-project.org] Namens Tonya Haff
Verzonden: donderdag 9 augustus 2012 18:58
Aan: r-sig-mixed-models op r-project.org
Onderwerp: [R-sig-ME] Response variable with zero variance

Hi all,

Ideally, I would like to run a GLMM on my data, which are are binomial (so I'm trying to run a model with a binomial distribution and a logit link).
 I have two fixed effects, fledgling age and playback type.  I have fledging ID as a random effect.  The problem I'm running into is zero variance in my response variable - ie fledglings always respond the same way to some of the playback types.  I can run a model and it converges, but it spits out an F value of over a million. So I'm wondering (1) is it possible to use a GLMM with a zero variance response; and (2) if so, which R package is the most appropriate?

Thanks for your help!


Tonya Haff
PhD candidate
Evolution, Ecology and Genetics
Research School of Biology
Australian National University
Lab: +61-2-6125-5651

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