PerformCV.test: Perform MCCV for manually selected features
In xia-lab/MetaboAnalystR3.0: An R Package for Comprehensive Analysis of Metabolomics Data

MCCV for manually selected features (no additional feature selection)

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

`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

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

xia-lab/MetaboAnalystR3.0 documentation built on May 6, 2020, 11:03 p.m.

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