matrix_missingness: Matrix missingness evaluation

In alexandruioanvoda/gwascelltyper: Fast GWAS Enrichment Testing

Matrix missingness evaluation

Description

This function does two things at once: 1. automatically removes completely-NA rows and columns. 2. finds out if some rows or columns have more missingness than a threshold (default = 0.1 (otherwise written, 10

Usage

matrix_missingness(
  mat,
  col_max_miss = 0.1,
  row_max_miss = 0.1,
  elim = TRUE,
  verbose = TRUE
)

Arguments

mat	Matrix
col_max_miss	Column maximum missingness (default = 0.1)
row_max_miss	Row maximum missingness (default = 0.1)
elim	Whether to eliminate rows & cols with too many NAs (default = TRUE), alternative is to just throw a warning
verbose	Print what function has done

Details

It then returns your fixed matrix.

Value

Matrix

alexandruioanvoda/gwascelltyper documentation built on April 16, 2023, 8:03 p.m.