Here I am again guys! 

First thing first, thank you very much Sven for your advice. With your help and with my friend's, I managed to adapt the code you sent me to my needs, and make it work on Gretl. So thank you very very much for your help! 

I am now facing a second, bigger challenge: with Sven's script, I got the standard errors, p values, O.R. and IC 95% that I needed. Now I have to tabulate them, using Excel or Word. Problem is that the Gretl results file, which I attached to the mail, shows (along with the useful data obtained) many other things that I do not need, lines and lines of text that I should manually delete hundreds of times (the akaike criterion, the schwarz criterion, hannan- quinn etc.). 

What I need is a series of rows displaying ONLY the ES, P-values and so on, instead of having to search through the list of results that the Gretl logit analysis gave me. DId I manage to explain my problem? does anyone have any suggestions about it? I add to the mail three things: the script I used, the word file of the results I got, and a facsimile of the column I would like to create. Thank you all!

Cordially,

Davide

Il giorno ven 23 nov 2018 alle ore 21:10 Davide Bertani <dbertani92@gmail.com> ha scritto:

thank you very much Sven!! I'll try to adopt the solution you sent me (maybe with some help from a friend of mine, big computer brain), I'll let you know if it works! best regards,
Davide

Il Gio 22 Nov 2018, 10:59 Sven Schreiber <svetosch@gmx.net> ha scritto:

Am 22.11.18 um 11:46 schrieb Davide Bertani:
> Thank you guys for the answers
> @sven I understood the use of the "binar" term: as a matter of fact,
> my nominal variable is actually binary, spacing from 0 to 1. Problem
> is, my thesis tutor wants UNIVARIATE as well as multivariate analysis
> of these data, so I'm forced to estimate all 100 separates (the
> univariate analysis, as far as I understand) and then I will estimate
> the 100 variables at once (multivariate analysis if Im not wrong). And
> Im looking for help for accelerating the First task:)


Ah OK, I think I understand. You don't just have B,C,D as regressors but
actually have 100 (potential) regressors. (First I thought you had 100
observations per variable, not 100 variables.)

Then you need to do some programming with gretl's scripting language
hansl indeed. You could try the following:

<hansl>

list reg = B C D # <and so forth>

# an alternative way is to use a series range as in 'list reg = B..ZZ',
see the manual ch. 14.

loop foreach r reg

   logit A const $r

   # use the $coeff (and other) accessor if you want to store the result

endloop

</hansl>

A working example with a built-in dataset would be as follows:

<hansl>

open credscore
list reg = Age..Selfempl
loop foreach r reg --quiet
     logit Acc const $r
endloop
</hansl>


HTH,

sven

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