plot.spm {SemiPar} | R Documentation |
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.
plot.spm(x,...)
x |
a fitted spm object as produced by spm() . |
... |
other graphics parameters described in Appendix B of the SemiPar Users' Manual http://www.maths.unsw.edu.au/~wand/papers.html |
Produces plots with each panel corresponding to a component of the semiparametric regression model.
The function generates plots.
M.P. Wand wand@maths.unsw.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://www.maths.unsw.edu.au/~wand/papers.html
spm
lines.spm
predict.spm
summary.spm
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)