bootveccor: Calculate bootstrap vector correlations

In tpepler/cpc: Common principal component (CPC) analysis and applications

Calculate bootstrap vector correlations

Description

Utility function to calculate the bootstrap vector correlations for the BVD method to identify common eigenvectors.

Usage

bootveccor(origdata, veccormat, nvec, reps = 1000)

Arguments

origdata	List of the grouped sample data.
veccormat	Matrix of the p eigenvector combinations with the largest inner products.
nvec	Vector containing the group sizes.
reps	Number of bootstrap replications to use.

Details

This is a utility function used by BVD, but can also be called directly if required.

Note

Note that this function can currently handle only two groups of data.

Author(s)

Theo Pepler

References

Pepler, P.T. (2014). The identification and application of common principal components. PhD dissertation in the Department of Statistics and Actuarial Science, Stellenbosch University.

See Also

BVD

tpepler/cpc documentation built on July 7, 2022, 2:13 a.m.