Hello, Does somebody could help me in the computation(formulation) of a hierarchical ANOVA using linear model in R? I'm working in a population biology study of an endangered species. My aim is to see if I have effects of "Density of individuals/m2" on several measured plants fitness traits. As independent variables I have: Humidity (continuous) Nutritive substance (continuous) LUX (continuous) Density of individuals/m2 (continuous) Population (categorical) Year (categorical) I want to test the 4 continous variables with Population as error term. And the Population, the Year and interaction term, with the error of Population x Year. Thank you for any help, best regards. Romain Mayor
Romain, Look for info on mixed models. In R you do this either with the library nlme or lme4. A good starting point is an article by Doug Bates in Rnews cran.r-project.org/doc/Rnews/Rnews_2005-1.pdf Joris r-help-bounces at stat.math.ethz.ch wrote on 13/02/2007 17:16:41:> > Hello, > > Does somebody could help me in the computation(formulation) of a > hierarchical ANOVA using linear model in R? > I'm working in a population biology study of an endangered species. Myaim> is to see if I have effects of "Density of individuals/m2" on several > measured plants fitness traits. > > As independent variables I have: > > Humidity (continuous) > Nutritive substance (continuous) > LUX (continuous) > Density of individuals/m2 (continuous) > Population (categorical) > Year (categorical) > > I want to test the 4 continous variables with Population as error term.And> the Population, the Year and interaction term, with the error ofPopulation> x Year. > > Thank you for any help, best regards. > > Romain Mayor > > ______________________________________________ > R-help at stat.math.ethz.ch mailing list > stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guideR-project.org/posting-guide.html> and provide commented, minimal, self-contained, reproducible code.
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