Brian MacDonald wrote:
>
> I am doing a series of analyses using discriminant analysis to predict group
> membership. Several of the variables I am using show distributions that are
> not normal. My question is can these (and for that matter shold they) be
> somehow transformed so that the resulting distribution looks "and presumably
> acts in the analyses) like a normal distribution.
It depends. For some distributions it is easy to do the
transformations (e.g., log is often appropriate for +ve skew). An
alternative approach might be to consider logistic regression which
has several advantages over discriminant analysis and doesn't
require normality.
Thom
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