Description Usage Arguments Details Value Author(s) References See Also Examples
Takes a fitted spm
object
produced by spm()
and plots the
component smooth functions that make it up, on the
scale of the linear predictor.
1 2 |
x |
a fitted |
... |
other graphics parameters described in Appendix B of the SemiPar Users' Manual http://matt-wand.utsacademics.info/SPmanu.pdf |
Produces plots with each panel corresponding to a component of the semiparametric regression model.
The function generates plots.
M.P. Wand mwand@uow.edu.au (other contributors listed in SemiPar Users' Manual).
Ruppert, D., Wand, M.P. and Carroll, R.J. (2003)
Semiparametric Regression Cambridge University Press.
http://stat.tamu.edu/~carroll/semiregbook/
Ganguli, B. and Wand, M.P. (2005)
SemiPar 1.0 Users' Manual.
http://matt-wand.utsacademics.info/SPmanu.pdf
spm
lines.spm
predict.spm
summary.spm
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | library(SemiPar)
data(fossil)
attach(fossil)
fit <- spm(strontium.ratio~f(age))
plot(fit)
# Now do several customisations
op <- par(bg="white")
par(bg="honeydew")
plot(fit,ylim=range(strontium.ratio),col="green",
lwd=5,shade.col="mediumpurple1",rug.col="blue")
points(age,strontium.ratio,col="orange",pch=16)
par(op)
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