[R-sig-ME] Mixed model parameterization

[Thierry Onkelinx]

Dear Manuel,

You'll need to think about the structure of your random effects. Your
current random effect structure is (1|plot) + (1|plot:hour) +
(1|plot:hour:day) + (1|plot:hour:day:month). Which might not be what you
had in mind.

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 using inbo.be
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www.inbo.be

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Op za 18 mei 2019 om 01:56 schreef Manuel Spínola <mspinola10 using gmail.com>:

> Dear list members,
>
> I am measuring an index in plots, in different hours, different days, and
> different months in 3 different "habitats".
>
> 12 plots by "habitats".
>
> I would like to estimate the mean index in the 3 environments.
>
> Is this model appropriate to achieve my goal?
>
> model <- lmer(index ~  habitat + (1 | plot/hour/day/month), data = mydata,
> REML = FALSE)
>
> Best,
>
> Manuel
>
> --
> *Manuel Spínola, Ph.D.*
> Instituto Internacional en Conservación y Manejo de Vida Silvestre
> Universidad Nacional
> Apartado 1350-3000
> Heredia
> COSTA RICA
> mspinola using una.cr <mspinola using una.ac.cr>
> mspinola10 using gmail.com
> Teléfono: (506) 8706 - 4662
> Personal website: Lobito de río <
> https://sites.google.com/site/lobitoderio/>
> Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/>
>
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