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. Scopri istella, il nuovo motore per il web italiano. Istella garantisce risultati di qualità e la possibilità di condividere, in modo semplice e veloce, documenti, immagini, audio e video. Usa istella, vai su http://www.istella.it?wtk=amc138614816829636 [[alternative HTML version deleted]]
______________________________________________ R-help@r-project.org 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.
