pcCoVariance: Choosing and removing dependent PC's

In JohnHadish/DJ.GLM.GWAS: GLM GWAS

Description

pcCoVariance() Determines principle components (PC) that are in linear dependendence to the covariates (C).Also,removes PC's that are in linear dependence with the covariates

Usage

pcCoVariance(PC, C, threshold)

Arguments

PC	matrix(n x p): p Principle components for n samples
C	matrix(n x c):c Covariates for n samples
threshold	numeric: the value above which one determines the variables to have high corelation

Details

Determines the principle components (PC) that are not in linear dependendence to the covariates (C).

Value

PC_C matrix(n x (p + c - linear dependent)):Principle Components and Covariates which are not dependent

JohnHadish/DJ.GLM.GWAS documentation built on April 5, 2020, 9:05 p.m.