[R] rms package-superposition prediction curve of ols and data points

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 ~

Re: [R] rms package-superposition prediction curve of ols and data points

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

Re: [R] rms package-superposition prediction curve of ols and data points

On Jun 26, 2012, at 11:29 AM, Sarah Goslee wrote: You could use points() instead of plot() for the second command. Ummm. Maybe not. I think think that plot.Predict uses lattice graphics. You may need to use trellis.focus() followed by lpoints(). Or use the + operation with suitable

Re: [R] rms package-superposition prediction curve of ols and data points

This is what the addpanel argument to plot.Predict is for, something along the lines of ap - function(...) lpoints(age, weight) plot(Predict(. . .), addpanel=ap) Frank David Winsemius wrote On Jun 26, 2012, at 11:29 AM, Sarah Goslee wrote: You could use points() instead of plot() for the