CorVMatSig: Correlate vector to matrix and test significance

In genejockey33000/typGumbo: Scripts and Pipelines for RNAseq Analysis

Correlate vector to matrix and test significance

Description

Correlate Named Vector to similarly named columns in a matrix and determine probability of seeing that number of significant correlations relative to a NULL distribution. Input vector (x) is a named vector that corresponds to colnames in matrix (y). Correlations between

Usage

CorVMatSig(x, y, method = "pearson", iter = 100, p.cutoff = 0.05, pct = 1)

Arguments

x	Named Vector to be correlated with matrix y
y	Matrix with compatible names as vector x
method	type of correlation to use "pearson" or "spearman"
iter	number of iterations to run
p.cutoff	p value cutoff for determining significance
pct	percentage upper variance to use

genejockey33000/typGumbo documentation built on July 20, 2023, 11:45 p.m.