PerformCV.test

Input the name of the created mSetObj (see InitDataObjects)

mSetObj

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

method

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

lvNum

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

propTraining

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

nRuns

MCCV for manually selected features (no additional feature selection)

This package contains the R functions and libraries underlying the popular MetaboAnalyst web server, including 500 functions for data processing, normalization, statistical analysis, metabolite set enrichment analysis, metabolic pathway analysis, and biomarker analysis. The package is synchronized with the web server. After installing and loading the package, users will be able to reproduce the same results from their local computers using the corresponding R command history downloaded from MetaboAnalyst, to achieve maximum flexibility and reproducibility.

PerformCV.test: Perform MCCV for manually selected features

Description

Usage

Arguments