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

John Kane
Thu, 08 Mar 2012 13:50:53 -0000

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

We have nothing at all to go on.

John Kane
Kingston ON Canada


> -----Original Message-----
> From: lpchaparrovio at gmail.com
> Sent: Wed, 7 Mar 2012 10:34:09 -0300
> To: r-help at r-project.org
> Subject: [R] Problems with generalized linear model (glm) coefficients.
>
> Hello to everyone.
>
> I4m writing you because I4m 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]]
>
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> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

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