validation: MegaR validation

In BioHPC/megaR: An interactive R package for Metagenomic Data Analysis for Disease Prediction

Description

This function conducts 10 fold cross validation on N set of data

Usage

validation(Num, modelclas, mytable3, classid, sampleid, ruleout, psd,
  metadat)

Arguments

Num	No. of sets to run for validation
modelclas	one of the model, randomforest, supportvector machine or generalized linear model
mytable3	processed input file with features
classid	the column number in metadata file in which the class of input data is stored
sampleid	the column number of metadata file which contain sample ids that match with input data
ruleout	the class which is to be removed from classification model
psd	the percentage of data to be split into training set
metadat	the metadata path

BioHPC/megaR documentation built on Oct. 3, 2021, 10:05 a.m.