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

[David Winsemius]

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 objects.

-- 
David.


>
> Sarah
>
> On Tue, Jun 26, 2012 at 8:37 AM, achaumont <agnes.chaumont at 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
>
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David Winsemius, MD
West Hartford, CT