Michael Dewey
2016-Jan-09 16:59 UTC
[R] Which GLM to use with mixed predictor variables i.e. bothdiscrete and continous
Please reply to the list as well as others may be able to help you. Comments below. On 09/01/2016 16:08, Charles Thuo wrote:> I read that glm poisson should have continous predictor variables but my > model has both continous and discrete predictor variables.I think you need to read more widely. In addition> am not sure which link function to use.If the people who wrote R chose a default link then, since they know more about statistics than you or I, I suggest you use it unless you can think of a good reason to change.> > Charles > > On 9 Jan 2016 17:27, "Michael Dewey" <lists at dewey.myzen.co.uk > <mailto:lists at dewey.myzen.co.uk>> wrote: > > Boxbe <https://www.boxbe.com/overview> Michael Dewey > (lists at dewey.myzen.co.uk <mailto:lists at dewey.myzen.co.uk>) is not on > your Guest List > <https://www.boxbe.com/approved-list?tc_serial=23948366964&tc_rand=865530497&utm_source=stf&utm_medium=email&utm_campaign=ANNO_MWTP&utm_content=001&token=z0E8RY73ui9gXsH7imOJSvT3I5lZh72UaIrMqObc2fbFhrX9P3xMHHwvotPXEIWH&key=TSFxbER%2F6YngyPWC4RAfJB5uEmZ50rxhXypc%2F8oestk%3D> > | Approve sender > <https://www.boxbe.com/anno?tc_serial=23948366964&tc_rand=865530497&utm_source=stf&utm_medium=email&utm_campaign=ANNO_MWTP&utm_content=001&token=z0E8RY73ui9gXsH7imOJSvT3I5lZh72UaIrMqObc2fbFhrX9P3xMHHwvotPXEIWH&key=TSFxbER%2F6YngyPWC4RAfJB5uEmZ50rxhXypc%2F8oestk%3D> > | Approve domain > <https://www.boxbe.com/anno?tc_serial=23948366964&tc_rand=865530497&utm_source=stf&utm_medium=email&utm_campaign=ANNO_MWTP&utm_content=001&dom&token=z0E8RY73ui9gXsH7imOJSvT3I5lZh72UaIrMqObc2fbFhrX9P3xMHHwvotPXEIWH&key=TSFxbER%2F6YngyPWC4RAfJB5uEmZ50rxhXypc%2F8oestk%3D> > > > 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 <mailto: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 >-- Michael http://www.dewey.myzen.co.uk/home.html