Description Usage Arguments Author(s)
View source: R/biomarker_utils.R
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)
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