Dear Morphometricians
I am working on dental morphology and morphometry of rodents. I have used a semi-typologic statistical analysis based on my references on related rodents, but I have some doubt on the method.
I defined several states of morphological characters as 0, 1, 2 and 3 based on existing references (there is no distinguished evolutionary polarity from 0 to 3 or vice versa) and calculated the frequency of each state of each character for every population. Then I used these frequencies to estimate Jaccard similarity values and design UPGMA cluster analysis by those values. Is this method logic?
Is there any other method for analyzing this kind of data? I mean the methods in which each population is analyzed as unique (Not like CA or DCA in which each specimen is analyzed separately).
�Discriminant function analysis� is used for measured (quantitative) data. What�s the equal method for qualitative ones (I mean for morphological characters)?
Would you please introduce me some references for morphological data analyses?
Your helps would be so appreciated in advance.
Faithfully yours
Roohollah Siahsarvie
Roohollah Siahsarvie
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