[R-sig-ME] Mixed Models

[Paul Debes]

Hi Jessica,

There is a very useful paper on repeatability that explains how to  
estimate it for many experimental settings and also deals with the  
inclusion of confounding fixed effects. Hence, it may answer some of your  
questions:

Nakagawa S, Schielzeth H (2010) Repeatability for Gaussian and  
non-Gaussian data: a practical guide for biologists. Biological Reviews of  
the Cambridge Philosophical Society, 85, 935-956.

Best,
Paul

On Tue, 16 Feb 2016 17:45:22 +0200, Jessica Witt <jes-w at hotmail.com> wrote:

> Hi,
>
> I’m very new to mixed modelling so please forgive me for this! I am  
> trying to see the repeatability of a behaviour for individuals e.g. the  
> area travelled, but I’ve also got a number of variables that could  
> confound this so am I right in including these as fixed factors?
>
> Furthermore I’ve written the code but it’s not giving me anything and  
> I’m pretty unsure what the error message means, if someone could explain  
> to me any modifications I need in my R code to get the repeatability of  
> area travelled that would be amazing!
>
> areamod<-lmer(Area~1+Sex+Temp+Mass+Length+Dodgy+Tank+Order+(1|ID),  
> data=platy, na.action=na.exclude, REML=TRUE)
> fixed-effect model matrix is rank deficient so dropping 1 column /  
> coefficient
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-- 
Paul V. Debes
DFG Research Fellow
University of Turku
Department of Biology
Finland