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 at inbo.be
Havenlaan 88 bus 73, 1000 Brussel
www.inbo.be
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ensure that a reasonable answer can be extracted from a given body of data.
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Op za 18 mei 2019 om 01:56 schreef Manuel Sp?nola <mspinola10 at 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 Sp?nola, Ph.D.*
Instituto Internacional en Conservaci?n y Manejo de Vida Silvestre
Universidad Nacional
Apartado 1350-3000
Heredia
COSTA RICA
mspinola at una.cr <mspinola at una.ac.cr>
mspinola10 at gmail.com
Tel?fono: (506) 8706 - 4662
Personal website: Lobito de r?o <
https://sites.google.com/site/lobitoderio/>
Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/>
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