reSample: Compute enrichment analysis on an Enrichment object
In mcanouil/snpEnrichment: SNPs Enrichment Analysis With Sampling

Description Arguments Value Examples

After initFiles and readEnrichment has been run. reSample computes a statistic value and a p-value for each chromosomes and for the whole genome.

`object`	An object to be updated. It is intended, an object returned by the readEnrichment function.
`nSample`	The number of resampling done by reSample for p-values computation (minimum is `100`).
`empiricPvalue`	Compute PValue based on the null distribution (`FALSE`). If `TRUE` (default), the empirical p-values are computed instead.
`sigThresh`	Statistical threshold for signal (e.g.,`0.05` for a given GWAS signal) used to compute an Enrichment Ratio.
`MAFpool`	Either a numeric vector giving the breaks points of intervals into which SNP's MAF (Minor Allele Frequency) is to be split.
`onlyGenome`	Compute resampling step for all chromosomes (default `TRUE`).

Return the object given in argument, updated by the resampling results.

if (interactive()) {
  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
}