Dear Nick:
Sorry for this late reply. I tried your program and it works perfectly. I thank you very much.
Although I perfectly read what you wrote about -makematrix-, I still like this command and my level of programming is not good enough to write the program you designed for me.
So, I would have an additional question, hopefully more simple.
With a ranksum test, I learnt from prior postings how to get a matrix:
makematrix m1, from(r(z) 2*normprob(-abs(r(z)))) label : ranksum prov_ass, by( sodas2cl)
I woud like to do the same with -kwallis-. In your program, I found the following formula which seems to be the computation of the p-value of the kwallis:
max(chiprob(r(df), r(chi2_adj) + 1e-20),.0001)
Then, I wrote the following command with -makematrix-:
makematrix m2, from(r(chi2_adj) max(chiprob(r(df), r(chi2_adj) + 1e-20),.0001) ) label : kwallis prov_ass, by(sodas3cl)
Unfortunately, it does not work. I get the following error message:
invalid '.0001'
r(198);
I obviously did something wrong.
Best regards
Herv�
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HEC Paris
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>>> [email protected] 11/06/05 11:39 PM >>>
This all looks more complicated than needed,
especially given the alternative of
a few seconds' copy and paste.
-tabstat- is not really designed for matrix
output, as is illustrated by the fact that you
have to massage things with -tabstatmat-, which
I rather regret writing, as it tempts people into
bad habits. Similarly, -makematrix- was a kind of
experiment, which was interesting at least for me,
but it is disconcerting whenever people use it
and there are better tools available for what
they are doing. It doesn't support -by:-,
partly because other things do. In your case,
you intend using it to put a scalar in a 1 X 1
matrix, which is not necessary. -statsmat-, on
the other hand, does seem closer to what you
want to do here.
The main part of that is wanting a matrix,
because you want to use -mat2txt-, because you want
a tab-delimited file for output. Or so
I understand.
Let's generalise to (1) several
variables and keep (2) a single grouping
variable, and write a program on the
grounds that we can write something
a little more widely applicable with
not much more effort. This produces
a matrix with Ns, means and sums
of ranks and the Kruskal-Wallis P-value.
I rather gave up on where the variable
names should go.
program pourherve
version 9
syntax varlist [if] [in], by(varname) matrix(str)
marksample touse
markout `touse' `by', strok
qui count if `touse'
if r(N) == 0 error 2000
tempname col work
qui tab `by' if `touse'
matrix `col' = J(`r(r)',1,.)
matrix colnames `col' = "P-value"
qui foreach v of local varlist {
tempvar rank
egen `rank' = rank(`v') if `touse'
statsmat `rank', by(`by') s(N sum mean) matrix(`work')
mat `work' = `work' , `col'
kwallis `v', by(`by')
matrix `work'[1,4] = ///
max(chiprob(r(df), r(chi2_adj) + 1e-20),.0001)
matrix `matrix' = nullmat(`matrix') \ `work'
drop `rank'
}
end
With your data
pourherve index2 prov_ass, by(sodas3cl) matrix(m)
mat2txt, matrix(m) saving(table5)
may help you along. Given other variables just
change the varlist.
Nick
[email protected]
Herve STOLOWY
> Thanks again for your help. I applied your suggestion and it
> works. The principle of the loop is fine.
>
> I have a new question concerning how to get the p-value of
> the kwallis test.
>
> Here is my loop:
>
> local action replace
> foreach var of varlist index2 prov_ass {
> egen rank_`var' = rank(`var') if sodas3cl < .
> bysort sodas3cl : egen ranksum_`var' = sum(rank_`var')
> by sodas3cl : egen rankmean_`var' = mean(rank_`var')
>
> statsmat `var', s(N) by(sodas3cl) mat(m1)
> tabstat rankmean_`var', by(sodas3cl) save
> tabstatmat m2
> matrix m3 = m1,m2
> statsmat rankmean_`var', s(N 0) mat(m4)
> matrix m5 = m3\m4
> makematrix m6, from(r(chi2_adj) formula to add) label :
> kwallis `var', by(sodas3cl)
> matrix m7 = m5\m6
> mat2txt, matrix(m7) saving(table5) `action'
> local action append
> }
>
> As the p-value of the test is not returned as a scalar, I
> learnt from prior postings to the list that I should add the
> relevant formula. For the Mann-Whitney U test, I know that
> the formula is: 2*normprob(-abs(r(z))).
>
> Unfortunately, I don't know the right formula for the Kwallis
> test. I searched in the kwallis ado file but don't find it. I
> certainly miss it.
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