On 30.12.2010 15:37, Yemi Oyeyemi wrote:
Dear R-users,
I have problem or at cross-road on using discrminant
analysis for my set of data. All my dependent variables are all categorical,
hence the normalty assumption is no longer valid. Is it still right to use
discrminant analysis or is there any non-parametric technique or approach to
discriminant analysis?
Discriminant analysis is not necessarily based on a certain distribution
assumption, the "Fisher" approach is only based on the assumption of
similar covariance within classes.
Anyway, it does not make much sense with categorical variables, why not
start with a tree, for example.
Uwe Ligges
Thanks OYEYEMI, Gafar Matanmi
Department of Statistics
University of Ilorin
P.M.B 1515
Ilorin, Kwara State
Nigeria
Tel: +2348052278655
Tel: +2348068241885
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