Robert, It seems that the scatterplot() command is starting a new graphics device. You could use the base plot command to achieve the same results including the non-parametric fit (scatterplot() uses a lowess fit):
#First it's important to save the distributions as objects, otherwise rnorm() will produce a different set of values when you run the curve fitting commands later. x<-rnorm(100) y<-rnorm(100) plot(x,y,cex=0.7,col="red",xlab="rnorm(100)",ylab="rnorm(100)") lines(lowess(y~x),col="red") abline(lm(y~x),lty=2,col="red") ----- Try http://prettygraph.com Pretty Graph , the easiest way to make R-powered graphs on the web. -- View this message in context: http://n4.nabble.com/scatterplots-in-car-package-tp1565791p1565812.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
