simulateData: Simulate Data for Package Testing and Demonstration Purposes

In a4Core: Automated Affymetrix Array Analysis Core Package

Description

Simulate Data for Package Testing and Demonstration Purposes

Usage

simulateData(nCols = 40, nRows = 1000, nEffectRows = 5, nNoEffectCols = 5,
 betweenClassDifference = 1, withinClassSd = 0.5)

Arguments

nCols	number of samples; currently this should be an even number
nRows	number of features (genes)
nEffectRows	number of differentially expressed features
nNoEffectCols	number of samples for which the profile of a differentially expressed feature will be set similar to the other class
betweenClassDifference	Average mean difference between the two classes to simulate a certain signal in the features for which an effect was introduced; the default is set to 1
withinClassSd	Within class standard deviation used to add a certain noise level to the features for which an effect was introduced; the default standard deviation is set to 0.5

Value

object of class ExpressionSet with the characteristics specified

Note

The simulation assumes the variances are equal between the two classes. Heterogeneity could easily be introduced in the simulation if this would be requested by the users.

Author(s)

W. Talloen and T. Verbeke

Examples

someEset <- simulateData(nCols = 40, nRows = 1000, nEffectRows = 5, nNoEffectCols = 5)
someEset

a4Core documentation built on Nov. 8, 2020, 5:39 p.m.