[R] GAM/GLM parameters

From: james155 <james.faulconbridge_at_googlemail.com>
Date: Wed 04 Apr 2007 - 13:45:24 GMT

I think this might be a very basic question, but is there a simple way to characterise the relationships that a gam or lm model have identified? I am trying the create species distribution models based on climate, and want to know whether, for example, higher temperatures (one of the predictor variables) leads to a higher probability of species presence (dependent variable). Also, how can you quantify the relative contribution of each predictor variable to the final model?

Many thanks,

         James

-- 
View this message in context: http://www.nabble.com/GAM-GLM-parameters-tf3525876.html#a9837219
Sent from the R help mailing list archive at Nabble.com.

______________________________________________
R-help@stat.math.ethz.ch 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.
Received on Wed Apr 04 23:49:50 2007

Archive maintained by Robert King, hosted by the discipline of statistics at the University of Newcastle, Australia.
Archive generated by hypermail 2.1.8, at Wed 04 Apr 2007 - 14:30:57 GMT.

Mailing list information is available at https://stat.ethz.ch/mailman/listinfo/r-help. Please read the posting guide before posting to the list.