mlPredictROC: Receiver Operand Curve (ROC)

In jordirofes/OmniOmics: Analysis of metabolomics (LC-MS) and transcriptomics (Microarray) data

Receiver Operand Curve (ROC)

Description

Calculates the ROC curve with the machine learning model and new data.

Usage

mlPredictROC(mlmod, newdt, prepro_obj, groupvar, posclass)

Arguments

mlmod	A machine learning model with a predict method with "prob" option.
newdt	A SummarizedExperiment or ExpressionSet object with the test data
groupvar	A numeric or string indicating the variable from the phenodata to use for grouping (must be a factor of length two).
posclass	A string indicating the positive class from the groupvar

Value

A ROC curve plot

Author(s)

Jordi Rofes Herrera

jordirofes/OmniOmics documentation built on Nov. 22, 2022, 5:46 a.m.