  Dear David, many thanks for your reply.
The aim was to evaluate the
relationship between daily mortality (variable "mortality") and mean
daily values of PM10 levels (variable "PM10") in a specific geographic
area, considering the effect of meteorological confounders (temperature,
umidity).
I used the following model (mgcv package):
gam(mortality ~
(PM10) + (Tmax) + (umidity), data = data, family = quasipoisson)

the
question is: how can I obtain a plot of log-relative risk of daily
mortality vs. PM10 levels?
regards

Agostino

Il 02.07.2014 01:50 David
Winsemius ha scritto: 

> On Jul 1, 2014, at 12:02 AM, adc wrote:
> 
>>
I performed the following GAM by the MGCV package:
> 
> I think it's
actually spelled in all lower case.
> 
>> gam(mortality ~ (PM10) +
(Tmax) + (umidity), data = data, family = quasipoisson) How can I obtain
a plot of Log-relative risk of mortality vs. PM10 ? thanks
> 
>
Shouldn't we need to know more details about the experimental setup to
answer that question? And what sort of comparisons you are requesting?
And about what parts of ?mgcv::plot.gam you need further explanations to
answer the question?
> -- 
> 
> snipped
>
html">http://www.R-project.org/posting-guide.html and provide commented,
minimal, self-co
> oducible code. 
> 
> David Winsemius
> Alameda, CA,
USA
> 
> ______________________________________________
>
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting
guide http://www.R-project.org/posting-guide.html [1] a
> mmented,
minimal, self-contained, reproducible code.
  


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