matNSamp: Find the number of non-missing values.
In DGCA: Differential Gene Correlation Analysis

matNSamp

R Documentation

Find the number of non-missing values.

Description

This function calculates the pairwise number of non-missing values in a matrix.

Usage

matNSamp(matA, impute = FALSE, matB = NULL, secondMat = FALSE)

Arguments

`matA`	Input data matrix with numeric entries.
`impute`	Binary value; if true, indicates that imputation was performed previously, and so checking for NAs is not necessary.
`matB`	Optional input data matrix with which the comparison with matA will be made.
`secondMat`	Logical indicator of whether there is a second matrix in the comparison or not.

Value

A number of samples (nsamp) matrix. data(darmanis); darmanis_subset = as.matrix(darmanis[1:30, ]) nsamp_res = matNSamp(darmanis_subset) darmanis_subset[1, 1] = NA nsamp_res_na = matNSamp(darmanis_subset)

DGCA documentation built on March 31, 2023, 9:22 p.m.