Dear all,
I've sent this question 2 days ago and got response from Sarah. Thanks for
that. But unfortunately, it did not really solve our problem. The main issue
is that we want to use our own (manipulated) covariance matrix in the
calculation of the mahalanobis distance. Does anyone know how to ve
One thing that would speed it up is if you
inverted 'covmat' once and then used
'inverted=TRUE' in the call to 'mahalanobis'.
Patrick Burns
[EMAIL PROTECTED]
+44 (0)20 8525 0696
http://www.burns-stat.com
(home of S Poetry and "A Guide for the Unwilling S User")
Frank Hedler wrote:
Dear all,
I'v
> I've sent this question 2 days ago and got response from Sarah. Thanks
for
> that. But unfortunately, it did not really solve our problem. The main
issue
> is that we want to use our own (manipulated) covariance matrix in the
> calculation of the mahalanobis distance. Does anyone know how to
v
Frank said:
> > This piece of code works, but it is very slow. We were wondering if
it's
> at
> > all possible to somehow vectorize this function. Any help would be
> greatly
> > appreciated.
Richie said:
> You can save a substantial time by calling as.matrix before the loop
Patrick said:
> On
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