PerformCV.test: Perform MCCV for manually selected features

View source: R/biomarker_utils.R

PerformCV.testR Documentation

Perform MCCV for manually selected features

Description

MCCV for manually selected features (no additional feature selection)

Usage

PerformCV.test(mSetObj, method, lvNum, propTraining=2/3, nRuns=100)

Arguments

mSetObj

Input the name of the created mSetObj (see InitDataObjects)

method

Select the classification method, "rf" for random forest classification, "pls" for PLS-DA, and "svm" for support vector machine

lvNum

Input the number of latent variables to include in the analyis, only for PLS-DA classification

propTraining

Input the proportion of samples to use for training, by default it is 2/3

nRuns

Input the number of MCCV runs, by default it is 100

Author(s)

Jeff Xia jeff.xia@mcgill.ca McGill University, Canada License: GNU GPL (>= 2)


xia-lab/MetaboAnalystR documentation built on March 20, 2024, 7:28 p.m.