See ?predict.gam
You create a data frame (e.g. `dat2011') containing the 2011 values for
RH, solar, windspeed and transport, then
predict(cod,dat2011,type="response")
there are various options for type -- see ?predict.gam
On 09/28/2011 10:10 AM, pigpigmeow wrote:
For example:
GAMs and after stepwise regression:
cod<-gam(newCO~RH+s(solar,bs="cr")+windspeed+s(transport,bs="cr"),family=gaussian
(link=log),groupD,methods=REML)
I used 10 year meterorology data (2000-2010) to form equation of
concentration of carbon monoxide.
NOW, I have 2011 meteorology data, I want to use the above GAMs to get the
predict value of concentration of carbon monoxide.
How can I put the 2011 data into this gam and get the expected value of
concentration of Carbon monoxide??
--
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