Charles Thuo
2016-Jan-09 09:55 UTC
[R] Which GLM to use with mixed predictor variables i.e. both discrete and continous
I have the following glm v_glm <- glm(claim_count~ave_age+cost+inc.count+p.statcount,data=v,family=poisson) claim_count - dependent variable and is discrete ave_age - predictor variable and is continuous cost - predictor variable and is continuous inc_count - predictor variable and is discrete p.statcount - predictor variable and is discrete Which is the most appropriate glm to use for such a model. Charles [[alternative HTML version deleted]]
Michael Dewey
2016-Jan-09 14:09 UTC
[R] Which GLM to use with mixed predictor variables i.e. both discrete and continous
Dear Charles You showed us a call of glm with which you are presumably not satisfied. What happened to disappoint you? On 09/01/2016 09:55, Charles Thuo wrote:> I have the following glm > > v_glm <- > glm(claim_count~ave_age+cost+inc.count+p.statcount,data=v,family=poisson) > > claim_count - dependent variable and is discrete > > ave_age - predictor variable and is continuous > > cost - predictor variable and is continuous > > inc_count - predictor variable and is discrete > > p.statcount - predictor variable and is discrete > > Which is the most appropriate glm to use for such a model. > > Charles > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at 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. >-- Michael http://www.dewey.myzen.co.uk/home.html