Dear "stat",
Interesting claim to a name!
In any case, var(X) where X is the data matrix with n rows of 5-variables
should do the trick.
Btw, please read the posting guide: your question is legitimate, hiding your
identity ("stat stat") is not.
Best wishes,
Ranjan
On Sat, 28 Apr 2007 16:36:55 +0100 (BST) stat stat <[EMAIL PROTECTED]> wrote:
> Dear all R users,
>
> I wanted to calculated a sample Variance covariance matrix of a five-variate
> normal distribution. However I stuck to calculate each element of that
> matrix. My question is should I calculate ordinary variance and covariances,
> taking pairwise variables? or I should take partial covariance between any
> two variables, keeping other fixed. In my decent opinion is I should go for
> the second option?
>
> Your help will be highly appreciated.
>
> Thanks and regards,
> stat
>
>
> ---------------------------------
>
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>
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> and provide commented, minimal, self-contained, reproducible code.
>
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