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Re: st: How to export Mann-Whitney U Test output in rich text format
From
William Buchanan <[email protected]>
To
"[email protected]" <[email protected]>
Subject
Re: st: How to export Mann-Whitney U Test output in rich text format
Date
Sat, 1 Sep 2012 05:28:14 -0700
You could always write "your own" eclass version of the program. I've had to do this for folks before and I just ended up posting the results from -r()- into -e()- with the same name. Then esttab/estout works fine.
HTH,
Billy
Sent from my iPhone
On Sep 1, 2012, at 5:09, Nick Cox <[email protected]> wrote:
> -eststo- and -estpost- are user-written commands (SJ, SSC), as you are
> asked to explain.
>
> You don't show the code you tried using -eststo- or -estpost- (or I
> gather other commands) but as -ranksum- is not an estimation command,
> I don't think you should expect your code to work. The difference
> between e-class and r-class commands is crucial here.
>
> Others may have positive suggestions.
>
> Nick
>
> On Sat, Sep 1, 2012 at 12:35 PM, Caliph Omar Moumin
> <[email protected]> wrote:
>
>> I am having a problem of how to export Mann-Whitney U Test output into rich text format "rtf"
>> I tried to combine command like "eststo" "estpost" and the other but it is not working.
>> my command is listed below, what command shall i combine to export outputs including obs; rank sum; expected; z and others statistics.
>>
>> If you know how could you please help me?
>>
>> forval i = 1/8 {
>> display "*================================================*"
>> display "`: label (tilstand4) `i''" _n
>> display "*================================================*"
>> bysort gender: ranksum LOS if (tilstand4 == `i'), by(alcoholcons)
>> }
>>
>>
>>
>>
>> Two-sample Wilcoxon rank-sum (Mann-Whitney) test
>> alcoholcons | obs rank sum expected
>> -------------+---------------------------------
>> nonalcohol | 5071 14440834 14695758
>> alcohol | 724 2353076 2098152
>> -------------+---------------------------------
>> combined | 5795 16793910 16793910
>>
>> unadjusted variance 1.773e+09
>> adjustment for ties -2.667e+08
>> ----------
>> adjusted variance 1.507e+09
>> Ho: LOS(alcoho~s==nonalcohol) = LOS(alcoho~s==alcohol)
>> z = -6.568
>> Prob > |z| = 0.0000
>>
>>
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