[R-sig-eco] population model with proportions as responses

Hi to all, This is my first post on r-sig-ecology mailing list and it concerns the difficulties I have in fomulating a certain ecological model for my data. My data consist of 567 individual roe deer crania, with 50 linear characters measured across 12 populations. I want to test the

Re: [R-sig-eco] population model with proportions as responses

Hi Milos, I'm not sure I understand the model you want to fit. Maybe you could clarify. It sounds like habitat structure is the variable that is a proportion, but it is a predictor, not a response. Is there another proportion variable that is your response? Modelling proportions is not easy. I

Re: [R-sig-eco] population model with proportions as responses

Dear Milos, It could be a problem that the predictors (forest_percent + meadow_percent + plowland_percent) are non-independent, but I don't know if it's a big problem. Maybe someone else could weigh in on that. Such strong linear relationship between predictors (collinearity) is a big

[R-sig-eco] interpretation of interaction between explanatory variables

Dear list members, I want to analyse the impact of a competitor community (i.e. community abundances on the one hand and community species diversity on the other hand) on mosquito larval populations of species A and B. Each variable on its own has a negative impact on mosquitoes - but when

[R-sig-eco] multivariate continuous response and ordinal predictor(s)

Dear all, I need to run a model with multivariate continuous responses and one (or more) ORDINAL (i.e. 1,2,3, etc.) predictor variables; these are not factors because are ordinal; the more intuitive solution could be to apply a standard lm() but I ask you if some more appropriate strategies