Hi Samuel,

The help file explains which is which:

A list with components 
devcvm Average drop in CV deviance for each lambda value 
ncallcvm=ncallcvm Average  number of features with non-zero wts in the CV, for 
each lambda value 

se.devcvm Standard error of average drop in CV deviance for each lambda value 
devcv Drop in CV deviance for each lambda value 
ncallcv Number of features with non-zero wts in the CV, for each lambda value 
folds Indices for CV folds 
call Call to this function 
So the following code will do:

> plot(aa[[2]], aa[[1]], type="b", ylim=c(0,25))
> segments(aa[[2]], aa[[1]]-aa[[3]], aa[[2]], aa[[1]]+aa[[3]])

Can't figure out how he made the horizontal bars at the ends of each error bar 
vary in length.

How do you like uniCox?  Have seen my previous post regarding the error message?

https://stat.ethz.ch/pipermail/r-help/2010-November/260857.html

...Tao





________________________________

To: jim holtman <jholtman@gmail.com>
Cc: r-help@r-project.org
Sent: Wed, December 8, 2010 5:59:40 AM
Subject: Re: [R] UniCox in R

Thank you for your reply. My question was how to create Fig. 2? I am using 
UniCox; the aa=uniCoxCV gives list of  aa$ devcvm  aa$ncallcvm aa$se.devcvm, 
aa$devcv, aa$ ncallcv and aa$ folds, which data I should plot here to create the 
graph in Fig. 2?

Many thanks,
Sam


--- On Wed, 8/12/10, jim holtman <jholtman@gmail.com> wrote:

From: jim holtman <jholtman@gmail.com>
Subject: Re: [R] UniCox in R

Cc: r-help@r-project.org
Date: Wednesday, 8 December, 2010, 5:25

Do a little reading on how to use the graphics commands.  I would look at

plot
lines
segments

a combination of those will let you easily create the output.  It
would seem you need some data object that has the dimensions of the
bar lengths you want to create, but given that, it is not much of a
problem to solve.


>
>
>
>
> Hello,
>
> I am interested in Figure 2 in
>
> http://www-stat.stanford.edu/~tibs/ftp/cus.pdf
>
> Can anyone tell please how to create this plot?
>
> Many thanks
> Samuel
>
>
>
>
>
>
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>
> ______________________________________________
> 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.
>



-- 
Jim Holtman
Data Munger Guru

What is the problem that you are trying to solve?



      
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