I want to calculate the probability that a group will include a particular
point using the squared Mahalanobis distance to the centroid. I understand
that the squared Mahalanobis distance is distributed as chi-squared but that
for a small number of random samples from a multivariate normal
I want to calculate the probability that a group will include a particular
point using the squared Mahalanobis distance to the centroid. I understand
that the squared Mahalanobis distance is distributed as chi-squared but that
for a small number of random samples from a multivariate normal
Is there a function that calculate the mahalanobis distance in R .
The dist function calculates euclidean', 'maximum', 'manhattan',
'canberra',
'binary' or 'minkowski'.
Thanks ../Murli
__
[EMAIL PROTECTED] mailing list
See (surprising enough) ?mahalanobis...
Andy
From: Murli Nair
Is there a function that calculate the mahalanobis distance in R .
The dist function calculates euclidean', 'maximum',
'manhattan',
'canberra',
'binary' or 'minkowski'.
Thanks ../Murli
: [R] mahalanobis distance
Is there a function that calculate the mahalanobis distance in R .
The dist function calculates euclidean', 'maximum',
'manhattan', 'canberra', 'binary' or 'minkowski'.
Thanks ../Murli
__
[EMAIL PROTECTED] mailing list