That is very helpful indeed. Thank you so much!
Vasilis
On Nov 9 2005, Nick Cox wrote:

There are many ways to do this in Stata 8.

One is to generate ranks for all your
variables, and then run -correlate- on
the ranks.

foreach v of var frog toad newt gingrich {
egen rank_`v' = rank(`v')
}

corr rank_*

That, however, requires some care if there

are missings in some or all of the variables.
Safer is this:

egen nmiss = rmiss(frog toad newt gingrich)
foreach v of var frog toad newt gingrich {
egen rank_`v' = rank(`v') if nmiss == 0
}

corr rank_*

Another is to create a matrix full of
missings, and then populate it with
individual correlations. There are

various canned ways of doing that.
One is to use -makematrix- from

SSC. Another is to use -cpspear-

from SSC.

Another method is to use -pwcorrs-
from the STB.

Note that typing

. findit spearman

in Stata would have pointed you to -cpspear-

and -pwcorrs-. This is part of the standard

advice for finding stuff in the Statalist FAQ.

Nick
n.j.cox@durham.ac.uk

Vasilis.Sarafidis

I need to calculate Spearman correlation coefficients for a
large number of
variables and get them in a single matrix . In Stata 9 this
is implemented
easily, typing the command spearman varlist. In Stata 8 the command
spearman handles two variables only, if I am not wrong. Is
there any way to
do this in Stata 8?

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