On Mon, 2006-06-05 at 17:04 -0700, Thomas Lumley wrote: > On Mon, 5 Jun 2006, Gregory Pierce wrote: > > On Mon, 2006-06-05 at 18:54 -0400, Barker, Chris [SCIUS] wrote: > >> Its probably easiest/fastest for you either to subset your dataset > >> first, or else simply use the subset option in survfit() > >> > >> e.g. > >> > >> survfit( ) has a subset option, > >> survfit( Surv( , ) ~ physician , subset=='Jones") > >> > > Chris, > > > > Thank you very much for your kind reply. Using subset worked. I had to > > modify the syntax a little from what you posted: > > > > survfit(Surv(days,status==1)~Physician,subset(viatorr,viatorr[6]=="Pierce") > > > > where viatorr is the name of my data set. > > An example of another approach is given in the example on the help page > for survfit > > You could do > curves <- survfit(Surv(days,status==1)~Physician, data=viatorr) > plot(curves[1]) > plot(curves[2]) > etc. > > -thomas
That also worked great! Thanks. This makes me very,very happy!!!!!!! I can now go to our statistician without looking like a complete idiot and I can get to work collecting survival data on our patients who had the old-fashioned bare-metal Wallstent. Looking back in this way provides a very interesting and humbling perspective. Greg ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
