youden_rocr: Calculate performance measures at the Youden Index for a ROC...
In imbeimainz/IMBEImisc: A collection of functions commonly used by members of the IMBEI
youden_rocr R Documentation
Calculate performance measures at the Youden Index for a ROC curve
Description
Calculate performance measures at the Youden Index for a ROC curve
Usage
youden_rocr(pred)
Arguments
pred
An object of class prediction, as commonly used by ROCR
Value
A list of values, with the Youden Index, speci, sensi, positive & negative
predictive values
Examples
# Using the basic example from the ROCR package
library(ROCR)
data(ROCR.simple)
pred <- prediction( ROCR.simple$predictions, ROCR.simple$labels )
youden_rocr(pred) # these can be printed out or used later in plotting functions
imbeimainz/IMBEImisc documentation built on Nov. 14, 2024, 1:22 p.m.
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| youden_rocr | R Documentation |
Calculate performance measures at the Youden Index for a ROC curve
Description
Calculate performance measures at the Youden Index for a ROC curve
Usage
youden_rocr(pred)
Arguments
pred |
An object of class prediction, as commonly used by ROCR |
Value
A list of values, with the Youden Index, speci, sensi, positive & negative predictive values
Examples
# Using the basic example from the ROCR package
library(ROCR)
data(ROCR.simple)
pred <- prediction( ROCR.simple$predictions, ROCR.simple$labels )
youden_rocr(pred) # these can be printed out or used later in plotting functions
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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