simu.multi: simu.multi

In KellyCahill/rfTSP: robust classification and feature selection for binary/multi outcomes

Description

A function for generating simulated gene expression data

Usage

simu.multi(Gnull, Gsig, Ntrain, Ntest, SDgenemu = 5, DFgenesd = 1, Clow = 2, Cup = Inf, 
MuShift, SDshift = 0, SDshift = 0.5, seed = 15232, label = c(-1,1)) 

Arguments

Gnull	number of null genes
Gsig	number of significant genes
Ntrain	a vector for number of training samples for each class (can be multi-class)
Ntest	a vector for number of testing samples (same length with Ntrain)
SDgenemu	SD for null gene mu value
DFgenesd	degree of free for null gene SD
Clow	significant gene shift lower bound
Cup	significant gene shift upper bound
MuShift	test shift mean value
SDshift	test shift SD value
seed	seed for random number

Value

Xtrain	training expression table, gene by sample
Ytrain	training outcome label
Xtest	testing expression table, gene by sample
Ytest	testing outcome label
sigIndex	significant gene index, TRUE for sig and FALSE for non-sig
geneMu	gene mu value, a gene-by-group matrix
geneSD	gene SD value, a vector with length of gene

Author(s)

Kelly Cahill, Masaki Lin, Silvia Liu

KellyCahill/rfTSP documentation built on May 21, 2019, 1:41 p.m.