R help - Aug 2011 - help annotating plot.xmean.ordinaly in rms package

Hello List:

Does anyone know if there's a way to annotate the plots produced by the
plot.xmean.ordinaly function in the rms package.  I'd like to produce
publication quality figures, but first need to annotate the axis labels.  Is
there a way to do that?

I appreciate any advice.

Chris

	[[alternative HTML version deleted]]

Chris for my purposes I need the output tied to the model's variable names,
so I'm not sure I want to add new naming options to the function.  You might
just add a line after "nam <- nam[-1]" to specify your vector of
names,
starting with the response variable, e.g., nam <- c('velocity
m/s','age','blood pressure').
Frank


Christopher DiBari wrote:
> 
> Hello List:
> 
> Does anyone know if there's a way to annotate the plots produced by the
> plot.xmean.ordinaly function in the rms package.  I'd like to produce
> publication quality figures, but first need to annotate the axis labels. 
> Is
> there a way to do that?
> 
> I appreciate any advice.
> 
> Chris
> 
> 	[[alternative HTML version deleted]]
> 
> ______________________________________________
> R-help at 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.
> 

-----
Frank Harrell
Department of Biostatistics, Vanderbilt University
--
View this message in context:
http://r.789695.n4.nabble.com/help-annotating-plot-xmean-ordinaly-in-rms-package-tp3724864p3724937.html
Sent from the R help mailing list archive at Nabble.com.

On Aug 7, 2011, at 8:24 AM, Christopher DiBari wrote:
> Hello List:
>
> Does anyone know if there's a way to annotate the plots produced by  
> the
> plot.xmean.ordinaly function in the rms package.  I'd like to produce
> publication quality figures, but first need to annotate the axis  
> labels.  Is
> there a way to do that?
Surely fortunes("Yoda") applies here.

  If you look at the code you see that base graphics are used. Why are  
you not using `axis` or one of its cousins?

Provide some prototype data and there would surely be a worked example  
in return. Data leads to solutions is the Tao of R-help.

-- 
David Winsemius, MD
West Hartford, CT