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![]() ![]() dredge returns a list with every possible combination of variables, if a variable doesn't have a value, it means it was not included in the model. That's partially right, 1ND indeed has a negative effect on diversity, but from the delta (=delta AIC) you cannot distinguish model 2 from 3, 1, and 5 since (using the common thumb rule) they have dAIC < 2 I understand that model 2 is the best model and shows lND to have a negative effect on diversity. As for your results, allow me to disagree with what you said: ![]() The function MuMIn::dredge simply returns a list of models with every possible combination of predictor variable. Is this interpretation correct or am I missing something? AIC values show that these model are not very informative. The second best model shows lNN to have a negative effect. Question: I understand that model 2 is the best model and shows lND to have a negative effect on diversity. This is the input: global.modelAcar <- lm(Acar ~ logNutrientsc*logNDSc*logNNNc, data = dat)Īnd this is the first few lines of the result: Global model call: lm(formula = Acar ~ logNutrientsc * logNDSc * logNNNc, data = dat) I ran a GLM for the first time in R and am not sure how to interpret the result. ![]()
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