I am a new R user. i have a question about Mahalanobis distance.actually i
have 300 rows and 7 columns. columns are different measurements, 300 rows are
genes. since genes can
classify into 4 categories. i used dist() with euclidean distance and cmdscale
to do MDS plot. but find out Mahalanobis distance may be
better. how do i use Mahalanobis() to generate similar dist object which i can
use MDS plot? second question is if should i calculate mean for
every categories for every measurement first and do 4*4 distance matrix, or i
should calculate pairwise distance first and then find category
means since i only care about relative position of 4 categories in MDS
plot. Thank you very much.
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