matCorr: Calculate a correlation matrix.

In DGCA: Differential Gene Correlation Analysis

Calculate a correlation matrix.

Description

This function takes one or two input matrices and calculates a correlation matrix from it using the speed-optimized correlation function from WGCNA.

Usage

matCorr(matA, corrType, use = "pairwise.complete.obs", matB = NULL,
  secondMat = FALSE)

Arguments

matA	Input data matrix with numeric entries.
corrType	The type of correlation to be performed. Either "pearson" or "spearman".
use	The "use" method for performing the correlation calculation. See ?cor for more information. Default = "pairwise.complete.obs" (which is one of the speed-optimized versions; see ?WGCNA::cor for more).
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 correlation matrix. data(darmanis); darmanis_subset = darmanis[1:30, ] matcor_res = matCorr(matA = darmanis_subset, corrType = "pearson")

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