pointsCurve: Points of the ROC curve
In juanpegarcia/ROCpAI: Receiver Operating Characteristic Partial Area Indexes for evaluating classifiers
Description
Usage
Arguments
Value
Examples
Description
It calculates the coordinates (fpr, sen) of the ROC curve.
This function sorts the scores of a model test and generates
the points which will be used to plot its the ROC curve
Usage
1
pointsCurve(x, y)
Arguments
x
It is the vector of the status (gold standar)
y
It is the vector with the values of a predictor
variable or clasificator
Value
return a matrix with the points of 1-specificity and
sensibility that will be used to generate a ROC curve
Examples
1
2
3
4
library(fission)
data("fission")
strain <- fission@colData@listData$strain
pointsCurve<- pointsCurve(strain, t(assay(fission))[,"SPNCRNA.1080"])
juanpegarcia/ROCpAI documentation built on June 3, 2021, 5:42 a.m.
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Description Usage Arguments Value Examples
Description
It calculates the coordinates (fpr, sen) of the ROC curve. This function sorts the scores of a model test and generates the points which will be used to plot its the ROC curve
Usage
1 | pointsCurve(x, y)
|
Arguments
x |
It is the vector of the status (gold standar) |
y |
It is the vector with the values of a predictor variable or clasificator |
Value
return a matrix with the points of 1-specificity and sensibility that will be used to generate a ROC curve
Examples
1 2 3 4 | library(fission)
data("fission")
strain <- fission@colData@listData$strain
pointsCurve<- pointsCurve(strain, t(assay(fission))[,"SPNCRNA.1080"])
|
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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