window_list

This function generates a list of of sliding windows conditional on two parameters: the length of each window (number of samples) and the total number of samples present in the data.

Implements the statistic FAVA, an Fst-based Assessment of Variability across
vectors of relative Abundances, as well as a suite of helper functions which enable the
visualization and statistical analysis of relative abundance data. The 'FAVA' R package
accompanies the paper, “Quantifying compositional variability in microbial communities
with FAVA” by Morrison, Xue, and Rosenberg (2025) <doi:10.1073/pnas.2413211122>.

Maike Morrison

FAVA

Quantify Compositional Variability Across Relative Abundance
Vectors

window_list function

<dl><dt>window_size</dt>
<dd>An integer number specifying the number of samples per window.</dd>
<dt>length</dt>
<dd>An integer number specifying the total number of samples.</dd>
<dt>window_step</dt>
<dd>Optional; an integer number specifying the distance between the first entry of adjacent windows. Default is <code>window_step=1</code>.</dd></dl>

Arguments

Generate sliding windows of specified length given the maximum number of samples — window_list

<dl>

<dt>window_size</dt>
<dd>An integer number specifying the number of samples per window.</dd>


<dt>length</dt>
<dd>An integer number specifying the total number of samples.</dd>


<dt>window_step</dt>
<dd>Optional; an integer number specifying the distance between the first entry of adjacent windows. Default is <code>window_step=1</code>.</dd>

</dl>

window_list: Generate sliding windows of specified length given the maximum number of samples

Description

Usage

Value

Arguments

Examples