plot.spm {SemiPar} | R Documentation |
Semiparametric regression plotting
Description
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.
Usage
## S3 method for class 'spm'
plot(x,...)
Arguments
x |
a fitted |
... |
other graphics parameters described in Appendix B of the SemiPar Users' Manual http://matt-wand.utsacademics.info/SPmanu.pdf |
Details
Produces plots with each panel corresponding to a component of the semiparametric regression model.
Value
The function generates plots.
Author(s)
M.P. Wand mwand@uow.edu.au (other contributors listed in SemiPar Users' Manual).
References
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
See Also
spm
lines.spm
predict.spm
summary.spm
Examples
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)