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 -- View this message in context: http://r.789695.n4.nabble.com/rms-package-superposition-prediction-curve-of-ols-and-data-points-tp4634503.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.
