Mixed Models
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