You could use points() instead of plot() for the second command. Sarah
On Tue, Jun 26, 2012 at 8:37 AM, achaumont <agnes.chaum...@live.be> wrote: > Hello, > > I have a question about the “plot.predict” function in Frank Harrell's rms > package. > Do you know how to superpose in the same graph the prediction curve of ols > and raw data points? > Put most simply, I would like to combine these two graphs: > >> fit_linear <- ols (y4 ~ rcs(x2,c(5,10,15,20,60,80,90)), x=TRUE, y=TRUE) >> p <- Predict(fit_linear,x2,conf.int=FALSE) >> plot (p, ylim =c(-2,0.5), xlim=c(0,100)) # graph n°1 > >> z <- plot (x2,y4,ylim=c(-2,0.5),xlim=c(0,100),type="p",lwd=6,col="blue") >> # graph n°2 > > Thanks all, > > Agnès > > > -- Sarah Goslee http://www.functionaldiversity.org ______________________________________________ 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.
