multi_roc: Plot multiple ROC curves in one graph

In Ronlee12355/dfbmd: Documented Functions of Bioinformatics during Master Degree

Description

This function visualize multiple ROC curves and display values of Area Under the Receiver Operating Characteristic curve (AUROC)

Usage

multi_roc(predictors, label)

Arguments

predictors	Dataframe of your predicted possiblities of different models.
label	Ideally, labels should be supplied as ordered factor(s), the lower level corresponding to the negative class, the upper level to the positive class

Value

a list containing multiple ROCR objects

See Also

prediction, performance

Ronlee12355/dfbmd documentation built on Sept. 23, 2020, 10:32 a.m.