matCorr {DGCA} | R Documentation |
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")