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.