pca.cov.cor: Mining PCA algorithm

In kennylouie/kdevtools:

Description

pca algorithm to iteratively check principal componenets with matched sample covariate data

Usage

pca.cov.cor(dat, p, ignore, adjustment, showall)

Arguments

dat	matrix with desired measure to run pca on
p	dataframe of covariates to test with each pc; covariate data should match with the pca order of samples
ignore	columns to ignore or not use
adjustment	the method of multiple adjustment for iterative testing of covariates within each PC, e.g. bonferroni, same arguments for p.adjust
showall	TRUE or FALSE; if TRUE, a matrix of all pvalues will be shown

Examples

pca.cov()

kennylouie/kdevtools documentation built on May 28, 2019, 3:37 p.m.