I run discriminant analysis on a dataset with plants speci Hi all, I run discriminant analysis on a dataset with plants species presence as variables (binary, independent) and lakes # as cases. I also have a classification variable with 4 classes. I have some problems in interpreting Fisher's classification function coefficients. It is said that a case belongs to the class for which the score is highest. In all books you can find something about this they compare (e.g.) score= 0.1 with score= 2.5. My question is: would an object belong to a class with score=0.1 or to one with the score= -75 ?. I don´t know if I should take that state literary.
Any suggestion much appreciated. Thanks Dragos Zaharescu @VigoUni.
