qlr: Quadratically Low Rank Matrix

In QRFCCA: Quadratically Regularized Functional Canonical Correlation Analysis

Description

Calcualte the quadratically regularized low rank matrix of the input data.

Usage

qlr(X, thres)

Arguments

X	The input data matrix. Each row represents the observations from a single individual and each column represents a single variable.
thres	The cut off point for quadratically regularized low rank matrix.

Details

Compute the qudratically regularized low rank approximation of the input matrix.

Value

The output of the function is a list.

lr	The low rank approximation of the input data matrix.
rank	The rank of the output low rank matrix.

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

qcca

Examples

     data(phe_data);
     rlt = qlr(phe_data,1);

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