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Hi all I have a very basic question, yet i have not found how to do it. Suppose my dataset looks like this: Year Area value 1 a 20 1 a 25 1 a 28 1 a 31 1 a...
Hi, We released individual birds into a room with 2 trees. We counted the number of visits to each of the 2 tree. One of the trees is always a control tree and the other tree is either treatment 1...
ok... the model now runs properly (say, without errors). Now about the result. These are the averages per treatments tapply(VecesArbolCo.VecesCo.C1,T2,mean) a b c d 0.49 0.56 0.45 0.58 I run this...
anyone? RFTW wrote: > > ok... the model now runs properly (say, without errors). Now about the > result. > These are the averages per treatments > > tapply(VecesArbolCo.VecesCo.C1,T2,mean) > a b c d > 0.49 0.56 0.45 0.58...
ok, the model does run now! but, dont i need the method="ML" when i want to compare this model with a reduced model using anova(model1, model2)? The R-Book tells me that REML is not good for that...
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