create.graph.long

create graph dataset with netmat and mmp_order
a data.frame called with vectorization of reordered netmat by mmp_order.

Implementation of SING algorithm to extract joint and individual non-Gaussian components from two datasets. SING uses an objective function that maximizes the skewness and kurtosis of latent components with a penalty to enhance the similarity between subject scores. Unlike other existing methods, SING does not use PCA for dimension reduction, but rather uses non-Gaussianity, which can improve feature extraction. Benjamin B.Risk, Irina Gaynanova (2021) <doi:10.1214/21-AOAS1466>.

Liangkang Wang

singR

Simultaneous Non-Gaussian Component Analysis

Irina Gaynanova

Benjamin Risk

create.graph.long function

<dl><dt>gmatrix</dt>
<dd>netmat</dd>
<dt>sort_indices</dt>
<dd>mmp_order</dd></dl>

Arguments

create graph dataset with netmat and mmp_order
a data.frame called with vectorization of reordered netmat by mmp_order. — create.graph.long

<dl>

<dt>gmatrix</dt>
<dd>netmat</dd>


<dt>sort_indices</dt>
<dd>mmp_order</dd>

</dl>

create.graph.long: create graph dataset with netmat and mmp_order a data.frame called with vectorization of reordered netmat by mmp_order.

Description

Usage

Value

Arguments