CCA_from_file: Do Canonical correlation analysis

In KSheu/ksheu.library1: KSheu Library1

Do Canonical correlation analysis

Description

Input: matrix A (ex. rows as genes, cols as samples) Input: matrix B (ex. rows as genes, cols as samples) Output: writes to file scores and loadings of decomposed matrices that maximize the correlation between A and B, as well as p-values for each component

Usage

CCA_from_file(file1, file2, rank, pval_method)

Arguments

file1	file for A matrix (.txt file)
file2	file for B matrix
rank	rank for the decompostiton
pval_method	default = "Wilks". Method for testing signficance of components (Wilks, Hotelling,Pillai,Roy)
standardize	default = T

Details

WARNING - script will internally convert all colnames to alphanumeric only.

Returns cca object, number of significant canonical dimensions (can be smaller than #of vars in smaller set)

KSheu/ksheu.library1 documentation built on Jan. 28, 2025, 3:26 p.m.