In addition,
. findit covariance matrix
points to an FAQ by Bill Gould,
a program -corrmat- by Shannon Driver,
a program -matcorr- by myself,
etc.
Nick
[email protected]
Richard Williams
wei liu
> >I have a very easy question to ask. I have two random
> >variables with 1000 observations each. How can I
> >generate the variance-covariance matrix for them? I
> >wanna save this matrix as a matrix variable for
> >further use. Is there a simple way to do so? Can I
> >further generalize this method for higher dimension?
>
> Try -help mataccum-
>
> The commands would be something like
>
> . mat accum cov = x y, noconstant deviations
> (obs=1000)
>
> . mat cov = cov/(_N-1)
>
> . mat list cov
>
> symmetric cov[2,2]
> x y
> x 9.0365155
> y 3.0502898 3.982194
>
>
> To confirm that you did it right,
>
> . corr x y, cov
> (obs=1000)
>
> | x y
> -------------+------------------
> x | 9.03652
> y | 3.05029 3.98219
>
> You can do it with more than 2 variables; and you can make
> things more
> complicated by using if, in and weights parameters.
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