I am using some data for a population count This what my data is set out as Area Count Year DOY Rain Wind
all continuous effects except wind and rain and area are categorical variables with 1 for rain and wind and 0 for no rain or wind and areas 1-27 I am trying to do a GLM analysis of certain treatment effects on Loge(total count+1) to find out which factors significantly affect the count. I used the formula glm.nb(Count~factor(Area)+Year+Rain+Wind+DOY) However it does not work, and when I looked at it with the formula I was given by someone else which was glm.nb(Count~factor(Area)+Year+DOY+Year*DOY) it came up with intercept as the first area and then areas 1-27 listed and then year and DOY. I am unsure of what this means as i think it is comparing all the areas to the first area. I really want it to come up with a table that looks like this Effect Coefficient SE F-value Area number Year Wind Rain Any help will be greatly appreciated as I have tried to understand how to get this table but I am struggling to understand -- View this message in context: http://r.789695.n4.nabble.com/Need-help-with-GLM-on-R-tp4712459.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.