Recently I was using GAM and couldn't help noticing
the following incoherence in prediction:
> data(gam.data)
> data(gam.newdata)
> gam.object <- gam(y ~ s(x,6) + z, data=gam.data)
> predict(gam.object)[1]
1
0.8017407
>
predict(gam.object,data.frame(x=gam.data$x[1],z=gam.data$z[1]))
1
0.1668452
I would expect that using two types of predict
arguments should give me the same results.
When I used this to predict a new data set then it
seems OK:
>
predict(gam.object,data.frame(x=gam.newdata$x[1],z=gam.newdata$z[1]))
1
0.4832136
> predict(gam.object,gam.newdata)[1]
1
0.4832136
Could anybody explain the strange behavior of
predict.gam function?
Thanks,
Kai
______________________________________________
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
