----- Forwarded message from Milos Blagojevic -----
Date: Mon, 22 Apr 2013 15:12:47 -0400 From: Milos Blagojevic Reply-To: Milos Blagojevic Subject: Linear models for cranial variability To: "[email protected]" Dear Morphometricians, Drifting a little bit from the field of GM I have a question about the formulation of a linear (or possible any other) model that has to account for cranial variability in relation to certain ecological parameters. My dataset consists of 50 linear measurements taken on roe deer skulls from 12 populations. After PCA and optional discriminant analysis I have individual scores that should enter possible linear model as dependent variables. Ecological data consists of proportions of forest to meadow to plowland areas (expressed either as proportions that add up to 1 or as absolute areas in Ha) within every population and population density (individual/area or absolute numbers). Any ideas on what kind of a model could be suitable for this dataset and for testing the hypothesis that cranial dimensions are predicted by these independent variables (habitat structure and abundance or population density)? Best regards,Milos BlagojevicDepartment for Biology and Ecology,Faculty of Science,Kragujevac,Serbia Here is sample data (with absolute numbers but they can be expressed as proportions as well) PCx score population abundance forest plow meadow -0.6033788 ADA_BEC 1500 61154 12000 32313 0.3250981 ADA_BEC 1500 61154 12000 32313 0.5577059 ADA_BEC 1500 61154 12000 32313 -0.1596194 PM 23980 89499 579870 8178 -1.3089952 PM 23980 89499 579870 8178 -2.1693392 SP 2500 38000 47098 432432 -0.9669080 SP 2500 38000 47098 432432 -1.8857842 SP 2500 38000 47098 432432 0.7242678 DKN 65908 181133 12400 1233 1.6815373 DKN 65908 181133 12400 1233 ----- End forwarded message -----
