ms_psig {flowGraph} | R Documentation

## Determines which phenotypes are statistically significant

### Description

Determines which phenotypes are statistically significant based on SpecEnr.

### Usage

    ms_psig(
      ms_,
      summary_pars,
      summary_adjust,
      test_cust,
      test_custom,
      lyrno,
      mp_,
      me_
    )

### Arguments

`ms_` | sample x phenotype SpecEnr matrix
`summary_pars` | See `flowGraphSubset`.
`summary_adjust` | See `flowGraphSubset`.
`test_cust` | Final significance test function.
`test_custom` | Raw significance test function.
`lyrno` | An integer indicating total number of layers in the cell hierarchy including layer 0.
`mp_` | sample x phenotype proportion matrix.
`me_` | sample x phenotype expected proportion matrix.

### Value

A logical vector the same length as the number of columns in `ms_` indicating whether or not each phenotype is significant; used only for the fast version of flowGraph to determine whether or not to keep testing the phenotypes' children.

[Package flowGraph version 1.2.0 Index]