# generate simulated data set from conditional normal distribution
set.seed(1234567)
es.sim = genSimData.BayesNormal(nCpGs = 100,
nCases = 20, nControls = 20,
mu.n = -2, mu.c = 2,
d0 = 20, s02 = 0.64, s02.c = 1.5, testPara = "var",
outlierFlag = FALSE,
eps = 1.0e-3, applier = lapply)
print(es.sim)
LumiBatch2Table(
es = es.sim,
probeID.var="probe",
gene.var="gene",
chr.var="chr",
sep = ",",
quote = FALSE,
filePrefix = "test",
fileExt = "csv")
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