hadn't realised the answer would be in the source code!
anyway, this appears to work. The only difference is in the last section.
greg
--
library(mgcv)
#simulate some data
x1<-runif(500)
x2<-rnorm(500)
x3<-rpois(500,3)
d<-runif(500)
t<-runif(500,20,50)
linp<--6.5+x1+2*x2-x3+2*exp(-2*d)*sin(2*p
hello
I'm learning mgcv and would like to obtain numerical output corresponding
to plot.gam.
I can do so when seWithMean=FALSE (the default)
but only approximately when seWithMean=TRUE.
Can anyone show how to obtain the exact values?
Alternatively, can you clarify the explanation in the manual
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