Dear Nick:
Thanks again for your help. It worked perfectly. This is my final
coding.
statsmat lev2, s(N mean sd) by(format_bs) mat(mat1)
makematrix mat2, from(r(z) 2*normprob(-abs(r(z)))) label : ranksum lev2,
by(format_bs)
matrix mat3=mat2'
matrix mat4 = mat1, mat3
matrix colnames mat4 = "Number of observations" Mean "Standard
deviation" "Mann-Whitney U-test"
matrix list mat4
mat2txt, matrix(mat4) saving(univariate_bs) replace
Best regards
Herv�
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>>> [email protected] 12/18/04 6:27 PM >>>
There is a good reason for this. The
P-value is calculated internally
as 2 * normprob(-abs(`z')) where `z'
is the statistic that is reported as r(z).
That is, the mapping is one to one, and
you lose no information from not having
the P-value returned as well.
So after -ranksum- you just need to calculate
2 * normprob(-abs(r(z))).
Nick
[email protected]
Herve STOLOWY
> I perform a ranksum test (i.e. Wilcoxon - Mann-Whitney U test). With
> -return list-, I get the saved results. Unfortunately, I see
> the (z) but
> not the Prob(z) in this list.
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