[R-sig-ME] relative importance of independendent variables in lm and lme models

ONKELINX, Thierry Thierry.ONKELINX at inbo.be
Mon Nov 12 11:47:58 CET 2012

Dear Ellen,

Have a look at http://glmm.wikidot.com/faq and search for 'How can I test whether a random effect is significant?'

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

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~ Sir Ronald Aylmer Fisher

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~ 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.
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-----Oorspronkelijk bericht-----
Van: r-sig-mixed-models-bounces op r-project.org [mailto:r-sig-mixed-models-bounces op r-project.org] Namens Ellen Pape
Verzonden: zondag 11 november 2012 16:45
Aan: r-sig-mixed-models op r-project.org
Onderwerp: [R-sig-ME] relative importance of independendent variables in lm and lme models

Dear all,

I apologize if my question is a bit stupid, but I'm fairly new to the field of mixed effect modelling.

I have performed several regressions, during which I also tested for the significance of a random grouping variable. Most of the time, the random factor was not statistically significant but it was for some regressions.

I was wondering how to calculate the relative importance of the independent variables (I guess for the lme model I also need to look at the importance of the random variable?) for both lm and lme models?

*/Ellen Pape (PhD student)/*

Ghent University
Marine Biology Research Group
Krijgslaan 281, S8
9000 Ghent (Belgium)

Email: Ellen.Pape op Ugent.be <mailto:Ellen.Pape op Ugent.be>
Tel: ++ 32 (0)9 264 85 23
Fax: ++ 32 (0)9 264 85 98

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