[R] Re : Problems with generalized linear model (glm) coefficients.

Pascal Oettli kridox at ymail.com
Wed Mar 7 14:57:02 CET 2012

Hi Lucas,

Do you apply your analysis in time or in space?


----- Mail original -----
De : Lucas <lpchaparrovio at gmail.com>
À : r-help at 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.


    [[alternative HTML version deleted]]

R-help at r-project.org mailing list
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

More information about the R-help mailing list