Hello everybody, I am trying to do a logistic regression model with lrm() from the design package. I am comparing to groups with different medical outcome which can either be "good" or "bad". In the help file it says that lrm codes al responses to 0,1,2,3, etc. internally and does so in alphabetical order. I would guess this means bad=0 and good=1.
My question: I am trying to figure out the connection between my factors and my response. Which probability is being calculated that of good or bad (1 or 0, respectively). I'm not sure whether I made clear what I was trying to say but will be very grateful for all help. -- View this message in context: http://www.nabble.com/lrm-in-Design-tp25206737p25206737.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
