You can access the data directly by using something like perf@x.values[[1]].
Not sure if that helps you.
The package pROC allows you to do partial areas under the curve by
selecting a range of specificity or sensitivity that you're interested in.
On Tue, May 28, 2013 at 2:17 AM, Guido Leoni wrot
Ye sorry
of course i'm interested to the area ranging from 0;0 to 0.4;0.8
thank you
Guido
2013/5/27 Uwe Ligges
>
>
> On 27.05.2013 16:18, Guido Leoni wrote:
>
>> Dear list
>> I'm testing a predictor and I produced nice performance plots with ROCR
>> package utilizing the 3 standard command
>>
>
On 27.05.2013 16:18, Guido Leoni wrote:
Dear list
I'm testing a predictor and I produced nice performance plots with ROCR
package utilizing the 3 standard command
pred <- prediction(predictions, labels)
perf <- performance(pred, measure = "tpr", x.measure = "fpr")
plot(perf, col=rainbow(10))
Dear list
I'm testing a predictor and I produced nice performance plots with ROCR
package utilizing the 3 standard command
pred <- prediction(predictions, labels)
perf <- performance(pred, measure = "tpr", x.measure = "fpr")
plot(perf, col=rainbow(10))
The pred object and the perfo object are S4
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