Hi emeline, I think there may be a minor language problem. If you mean the "variation" rather than the "variance" in survival, you may simply want a test of proportions.
Jim On Mon, Apr 4, 2016 at 7:48 PM, emeline mourocq <emeline.mour...@uzh.ch> wrote: > Hello, > > > > I investigate survival until the following year (0,1) and I wish to test if > the variance in survival for two or more groups are significantly different > from each other. > > > > I read that the Fligner-Killeen test is a non-parametric test which is very > robust against departures from normality but is it correct (valuable > technique for publication) to use it on binary data? > > > > In other words, can I use > fligner.test(survival~categorical_predictor,data=mydata) when survival is > binary (0,1)? > > > > Best regards > > Emeline > > > > > > --- > This email has been checked for viruses by Avast antivirus software. > https://www.avast.com/antivirus > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
