Simulate Data for Package Testing and Demonstration Purposes
Simulate Data for Package Testing and Demonstration Purposes
simulateData(nCols = 40, nRows = 1000, nEffectRows = 5, nNoEffectCols = 5, betweenClassDifference = 1, withinClassSd = 0.5)
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 |
object of class ExpressionSet with the characteristics specified
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.
W. Talloen and T. Verbeke
someEset <- simulateData(nCols = 40, nRows = 1000, nEffectRows = 5, nNoEffectCols = 5) someEset
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