R help - Feb 2012 - ROCR crashes for simple recall plot

I'm trying to use ROCR to create a simple cutoff vs recall plot
(recall at p) on the example ROCR.simple dataset:

library(ROCR)
data(ROCR.simple)
pred <- prediction(ROCR.simple$predictions, ROCR.simple$labels)
perf <- performance(pred, "rec")
plot(perf)

But R crashes on me on the last line.

I'm using R 2.14.1, ROCR 1.0-4. ?Any ideas?  Thanks in advance.

-- 
Yang Zhang
http://yz.mit.edu/

Works fine for me.

sessionInfo()?

Michael

On Wed, Feb 8, 2012 at 8:00 PM, Yang Zhang <yanghatespam at gmail.com>
wrote:
> I'm trying to use ROCR to create a simple cutoff vs recall plot
> (recall at p) on the example ROCR.simple dataset:
>
> library(ROCR)
> data(ROCR.simple)
> pred <- prediction(ROCR.simple$predictions, ROCR.simple$labels)
> perf <- performance(pred, "rec")
> plot(perf)
>
> But R crashes on me on the last line.
>
> I'm using R 2.14.1, ROCR 1.0-4. ?Any ideas? ?Thanks in advance.
>
> --
> Yang Zhang
> http://yz.mit.edu/
>
> ______________________________________________
> 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.

On Feb 8, 2012, at 8:00 PM, Yang Zhang wrote:
> I'm trying to use ROCR to create a simple cutoff vs recall plot
> (recall at p) on the example ROCR.simple dataset:
>
> library(ROCR)
> data(ROCR.simple)
> pred <- prediction(ROCR.simple$predictions, ROCR.simple$labels)
> perf <- performance(pred, "rec")
> plot(perf)
>
> But R crashes on me on the last line.
Define "crash". please (...as well as answering the sessionInfor()  
request.)
>
> I'm using R 2.14.1, ROCR 1.0-4.  Any ideas?  Thanks in advance.
>
> -- 
> Yang Zhang
> http://yz.mit.edu/
>
> ______________________________________________
> 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.
David Winsemius, MD
West Hartford, CT