dmc.non.parametric {TCGAbiolinks} | R Documentation

## Perform non-parametrix wilcoxon test

### Description

Perform non-parametrix wilcoxon test

### Usage

    dmc.non.parametric(
      matrix,
      idx1 = NULL,
      idx2 = NULL,
      paired = FALSE,
      adj.method = "BH",
      alternative = "two.sided",
      cores = 1
    )

### Arguments

`matrix` | A matrix
`idx1` | Index columns group1
`idx2` | Index columns group2
`paired` | Do a paired wilcoxon test? Default: True
`adj.method` | P-value adjustment method. Default:"BH" Benjamini-Hochberg
`alternative` | wilcoxon test alternative
`cores` | Number of cores to be used

### Value

Data frame with p-values and diff mean

### Examples

     nrows <- 200; ncols <- 20
     counts <- matrix(
       runif(nrows * ncols, 1, 1e4), nrows,
       dimnames = list(paste0("cg",1:200),paste0("S",1:20))
     )
     TCGAbiolinks:::dmc.non.parametric(counts,1:10,11:20)

[Package TCGAbiolinks version 2.18.0 Index]