ms_psig: Determines which phenotypes are statistically significant

View source: R/00_flowGraphSubset_constructor.R

ms_psigR 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.


aya49/flowGraph documentation built on Feb. 4, 2024, 6:40 p.m.