Dear Carlos, On Thu, Jul 30, 2009 at 6:11 PM, Carlos López<nato...@fisica.unam.mx> wrote: > Hello everybody :-) > > I have some data that I want to model with a logistic regression, most of > the independent variables are numeric and the only dependent is categorical, > I was thinking that I could apply a logistic regression using glm but I > wanted to deepen my knowledge of this so I tried to do some reading and > found the "iris" dataset, now I would like to ask two things, first if you > know of any bibliography to read more about the logistic regression and R so > I could understand and interpret better the output,
See the following https://home.comcast.net/~lthompson221/ and the following specific link on that page: https://home.comcast.net/~lthompson221/Splusdiscrete2.pdf which is a manual to accompany Agresti's _Categorical Data Analysis_. In particular, you may want to check out Chapter 5 (and also some of 4). >and second, what could I > do when I have some independent variables that are not only numerical but > categorical too, i.e. mixed (categorical and numerical), can I still use a > logistic regression? Easy peasy, lemon squeezy. See page 78. Hope this helps, Jay *************************************************** G. Jay Kerns, Ph.D. Associate Professor Department of Mathematics & Statistics Youngstown State University Youngstown, OH 44555-0002 USA Office: 1035 Cushwa Hall Phone: (330) 941-3310 Office (voice mail) -3302 Department -3170 FAX VoIP: gjke...@ekiga.net E-mail: gke...@ysu.edu http://www.cc.ysu.edu/~gjkerns/ ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
