Dear all,
I know that when using R, people should have a sufficient level in statistics. As well, I'm not a genius, when dealing with logistic regressions. I would like to construct ICs, IPs, for a logistic regression, but the point is I have just 41 observations. I had a look at the Design package and noticeably the lrm function, but I'm still not able to reduce the IC's, as I was trying to do this in SPSS (but do not like it). I have heard of a mean to do this by using bootstrap, but I'm still waiting to find the right way to use it. As well I would like to find a fine way to do stepwise forward selection In R, as I am not sure wich kind of variable may be involved in the model, which is composed with 13 numeric variables, and a dichotomic variable named "expatriation". I have got a total of 41 observations, as mentionned above. I'm using R on macintosh, I have used the function lrm, brlr, bootstrap (but for others uses than logistic regressions), and I am looking for a great and paved way to do Confiance Intervals, and to compute significance values for each of the logistic model's parameters, by using R ans bootstrapping, of course. Any ideas ? Laurent. -- --~~ Toulouse, Grenoble, Auch, Arcachon, Béziers, Paris, Saragosse, Lévignac Sur Save, habitats naturel du Valdo. ~~-- < http://www.le-valdo.com> ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
