On Nov 16, 2009, at 2:53 PM, Jack Luo wrote: > David, > > Thanks for your reply. Since I am kinda new to this forum, could you > please advise me on where to read those questions in R-help?
http://search.r-project.org/nmz.html http://search.r-project.org/cgi-bin/namazu.cgi?query=%22ordered+factors%22&max=100&result=normal&sort=score&idxname=functions&idxname=Rhelp08&idxname=views > In addition, I did not pay much attention to the na.action, probably > I should use na.action = na.omit instead of na.pass. > Or just accept the default. > -Jack > > On Mon, Nov 16, 2009 at 2:32 PM, David Winsemius <dwinsem...@comcast.net > > wrote: > > On Nov 16, 2009, at 2:22 PM, Jack Luo wrote: > > Hi, > > I am trying to fit a logistic regression using glm, but my explanatory > variables are of mixed type: some are numeric, some are ordinal, > some are > categorical, say > > If x1 is numeric, x2 is ordinal, x3 is categorical, is the following > formula > OK? > > The formula's certainly "OK". What may be non-OK will be your > understanding of the output. The default handling of ordinal factors > is a common source of questions to R-help, so read up first. > > *model <- glm(y~x1+x2+x3, family=binomial(link="logit"), > na.action=na.pass)* > > Why have you chosen that na.action option? > > -- > David Winsemius, MD > Heritage Laboratories > West Hartford, CT > > David Winsemius, MD Heritage Laboratories West Hartford, CT [[alternative HTML version deleted]] ______________________________________________ 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.
