cca: Canonical Correlation Analysis

In QRFCCA: Quadratically Regularized Functional Canonical Correlation Analysis

Description

Conduct the canonical correlation anlaysis between two sets of variables.

Usage

cca(A, B)

Arguments

A	The input data matrix of the first set of the variables. Each row of A represents the observations of a single individual. Each column of A represents the variables.
B	The input data matrix of the second set of the variables. Each row of B represents the observations of a single individual. Each column of B represents the variables.

Value

The output is a list.

rho	a numeric vector of canonical correlation coefficients
chisq_p	p_value between 0 and 1 by using chi-square test
df	degree of freedom

See Also

CCA_chisq_test,qcca

Examples

    data(phe_data);
    data(snp_data);
    rlt = cca(phe_data,snp_data);

QRFCCA documentation built on Nov. 17, 2017, 7:20 a.m.