read_count

This function will read and return your count table. It can take in
sparse and full count tables.

A tool that implements the clustering algorithms from 'mothur' (Schloss PD et al. (2009) <doi:10.1128/AEM.01541-09>). 'clustur' make use of the cluster() and make.shared() command from 'mothur'. Our cluster() function has five different algorithms implemented: 'OptiClust', 'furthest', 'nearest', 'average', and 'weighted'. 'OptiClust' is an optimized clustering method for Operational Taxonomic Units, and you can learn more here, (Westcott SL, Schloss PD (2017) <doi:10.1128/mspheredirect.00073-17>). The make.shared() command is always applied at the end of the clustering command. This functionality allows us to generate and create clustering and abundance data efficiently.

Patrick Schloss

clustur

Clustering

Gregory Johnson

Sarah Westcott

read_count function

<dl><dt>count_table_path</dt>
<dd>The file path of your count table.</dd></dl>

Arguments

Read count table — read_count

<dl>

<dt>count_table_path</dt>
<dd>The file path of your count table.</dd>

</dl>

read_count: Read count table

Description

Usage

Value

Arguments

Examples