Re: [Gretl-users] Help with logistic regression report

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(a)gmx.net&gt; 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 > > _______________________________________________ > Gretl-users mailing list > Gretl-users(a)lists.wfu.edu > http://lists.wfu.edu/mailman/listinfo/gretl-users