You have selected the binomial family in the call to glm. You should instead try something like
family=quasipoisson(link = "log") I hope this helps Andrew On Tue, Jul 28, 2015 at 4:33 PM, Charlotte < charlotte.hu...@griffithuni.edu.au> wrote: > Hello > > I have count values for abundance which follow a pattern of over-dispersal > with many zero values. I have read a number of documents which suggest > that > I don't use data transforming methods but rather than I run the GLM with > the > quasi poisson distribution. So I have written my script and R is telling > me > that Y should be more than 0. > > Everything I read tells me to do it this way but I can't get R to agree. > Did I need to add something else to my script to get it to work and keep my > data untransformed? The script I wrote is as follows: > > > fit <- glm(abundance~Gender,data=teminfest,family=binomial()) > > then I get this error > Error in eval(expr, envir, enclos) : y values must be 0 <= y <= 1 > > I don't use R a lot so I am having trouble figuring out what to do next. > > I would appreciate some help > > Many Thanks > Charlotte > > > > > > > -- > View this message in context: > http://r.789695.n4.nabble.com/R-wont-accept-my-zero-count-values-in-the-GLM-with-quasi-poisson-dsitribution-tp4710462.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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. > -- Andrew Robinson Deputy Director, CEBRA, School of Biosciences Reader & Associate Professor in Applied Statistics Tel: (+61) 0403 138 955 School of Mathematics and Statistics Fax: +61-3-8344 4599 University of Melbourne, VIC 3010 Australia Email: a.robin...@ms.unimelb.edu.au Website: http://www.ms.unimelb.edu.au/~andrewpr MSME: http://www.crcpress.com/product/isbn/9781439858028 FAwR: http://www.ms.unimelb.edu.au/~andrewpr/FAwR/ SPuR: http://www.ms.unimelb.edu.au/spuRs/ [[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.