Enrichment object
initFiles and readEnrichment has been run.
reSample computes a statistic value and a p-value for each chromosomes and for the whole genome.
"reSample"(object, nSample = 100, empiricPvalue = TRUE, MAFpool = c(0.05, 0.10, 0.2, 0.3, 0.4, 0.5), mc.cores = 1, onlyGenome = TRUE)
"reSample"(object, nSample = 100, empiricPvalue = TRUE, sigThresh = 0.05, MAFpool = c(0.05, 0.10, 0.2, 0.3, 0.4, 0.5), mc.cores = 1)readEnrichment function.reSample for p-values computation (minimum is 100).empiricPvalue=TRUE (default) compute PValue based on the null distribution (resampling).
If empiricPvalue=TRUE, the empirical p-values are computed instead.sigThresh = 0.05 for a given GWAS signal) used to compute an Enrichment Ratio.mc.cores=1), i.e. at most how many child processes will be run simultaneously.
Must be at least one, and parallelization requires at least two cores.onlyGenome=TRUE (default) compute resampling step for all chromosomes.snpEnrichment-package
Classes : Enrichment, Chromosome, EnrichSNP
Methods : plot, reSample, getEnrichSNP, excludeSNP, compareEnrichment,
enrichment, is.enrichment, chromosome, is.chromosome
Functions : initFiles, writeLD, readEnrichment
## Not run: data(toyEnrichment)
# reSample(object = toyEnrichment,
# nSample = 10,
# empiricPvalue = TRUE,
# MAFpool = c(0.05, 0.10, 0.2, 0.3, 0.4, 0.5),
# onlyGenome = TRUE)
# toyEnrichment## End(Not run)
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