weighted_R1R2

get weighted within-sample edge-counts and between-sample edge-counts

internal

Useful tools for determining whether two samples are from the same distribution. Utilizes a robust method to address the problematic structure of the similarity graph constructed from high-dimensional data. The method is provided in Yichuan Bai and Lynna Chu (2023) <arXiv:2307.12325>.

Yichuan Bai

rgTest

Robust Graph-Based Two-Sample Test

Lynna Chu

weighted_R1R2 function

<dl><dt>E</dt>
<dd>an edge matrix representing a similarity graph. Each row represents an edge and records the indices of two ends of an edge in two columns. The indices of observations in sample 1 are from 1 to n1 and indices of observations in sample 2 are from 1+n1 to n1+n2.</dd>
<dt>n1</dt>
<dd>number of observations in sample 1.</dd>
<dt>wei</dt>
<dd>a vector of weights of each edge.</dd></dl>

Arguments

get weighted within-sample edge-counts and between-sample edge-counts — weighted_R1R2

<dl>

<dt>E</dt>
<dd>an edge matrix representing a similarity graph. Each row represents an edge and records the indices of two ends of an edge in two columns. The indices of observations in sample 1 are from 1 to n1 and indices of observations in sample 2 are from 1+n1 to n1+n2.</dd>


<dt>n1</dt>
<dd>number of observations in sample 1.</dd>


<dt>wei</dt>
<dd>a vector of weights of each edge.</dd>

</dl>

weighted_R1R2: get weighted within-sample edge-counts and between-sample edge-counts

Description

Usage

Value

Arguments