Hi Lucas, Do you apply your analysis in time or in space?
Regards, Pascal ----- Mail original ----- De : Lucas <lpchaparro...@gmail.com> À : r-help@r-project.org Cc : Envoyé le : Mercredi 7 mars 2012 22h34 Objet : [R] Problems with generalized linear model (glm) coefficients. Hello to everyone. I´m writing you because I´m feeling a bit frustrated with my work. My work consists in finding the relation between the amount of fires and the weather, so, my response variable is the amount of fires in a fire season and the explanatory variables are the temperature, the amount of precipitation and the some others…. my problem is this; I keep getting the wrong sign in the coefficients estimated, I get a negative sign for temperature and a positive sign for precipitation, which is unreasonable, the greater the temperature I would expect more fire, on the contrary, the greater the precipitation I would expect less fires. So far I have deal with overdispersion, multicollinearity and the amount of zeroes through passing from Poisson to Negative Binomial and Hurdle. I believe I have used all my options and still have the wrong signs on my coefficients. Do I have more options? What does it mean that I keep getting those signs? If anyone could help me I would really appreciate it. Thank you. Lucas. [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list 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. ______________________________________________ R-help@r-project.org mailing list 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.
