fourier.expansion.smoothed: Smoothed Fourier Expansion

In QRFCCA: Quadratically Regularized Functional Canonical Correlation Analysis

Description

Fourier expansion penalizing for the smoothness of the curve.

Usage

fourier.expansion.smoothed(x, n_of_basis, pos, lambda)

Arguments

x	Input data matrix. Each row represents the observations of a single individual. Each column represents the variables.
n_of_basis	Number of basis function for Fourier expansion and it should be an odd number.
pos	The location or time information for each variables.
lambda	Smoothness penalty.

Value

The output is a list.

fbasis	The basis function
phi	The phase of the basis function based on the location or time information
coef	The calculated Fourier Coefficients

References

Lin N, Zhu Y, Fan R, Xiong M. A quadratically regularized functional canonical correlation analysis for identifying the global structure of pleiotropy with NGS data. PLOS Computational Biology. 2017;13(10):e1005788. doi: 10.1371/journal.pcbi.1005788.

See Also

fourier.expansion

Examples

    data(snp_data);
    ## Not run: 
     rlt = fourier.expansion(snp_data,n_of_basis=37,pos=as.numeric(colnames(snp_data));)

## End(Not run)

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