Dear Users,
I am conducting a function analysis with 6 groupings and 11 predicter
variables.
fit<-lda(Groups~ x1 + x2+ ....+ x11, data=my.data, na.action="na.omit")
My resulting misclassification rates are low, and although this is one of
the goals, I would like to test assumption of equality among the covariance
matrices for groups. I have been attempting to find a way do do this, but
have been unsuccessful. I am a relatively new R user, and perhaps I am
overlooking the obvious.
Could anybody guide me through the procedures for conducting such a test for
equality of covariance matrices, either from the resulting output from the
lda model or from the original dataset?
Thank you very much.
Cheers,
Rob --
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Robert Lonsinger
Wildlife Grad. Research Assistant
New Mexico State University
Dept. of Fish, Wildlife, & Cons. Ecology
rob.lonsin...@gmail.com
484.459.1977
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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