aggr_metadata

Aggregate a metadata column to get a summarized value for a cluster node

internal

Deciding what resolution to use can be a difficult question when
approaching a clustering analysis. One way to approach this problem is to
look at how samples move as the number of clusters increases. This package
allows you to produce clustering trees, a visualisation for interrogating
clusterings as resolution increases.

Luke Zappia

clustree

Visualise Clusterings at Different Resolutions

Alicia Oshlack

Andrea Rau

Paul Hoffman

aggr_metadata function

<dl><dt>node_data</dt>
<dd>data.frame containing information about a set of cluster
nodes</dd>
<dt>col_name</dt>
<dd>the name of the metadata column to aggregate</dd>
<dt>col_aggr</dt>
<dd>string naming a function used to aggregate the column</dd>
<dt>metadata</dt>
<dd>data.frame providing metadata on samples</dd>
<dt>is_cluster</dt>
<dd>logical vector indicating which rows of metadata are in the
node to be summarized</dd></dl>

Arguments

Aggregate metadata — aggr_metadata

<dl>

<dt>node_data</dt>
<dd>data.frame containing information about a set of cluster
nodes</dd>


<dt>col_name</dt>
<dd>the name of the metadata column to aggregate</dd>


<dt>col_aggr</dt>
<dd>string naming a function used to aggregate the column</dd>


<dt>metadata</dt>
<dd>data.frame providing metadata on samples</dd>


<dt>is_cluster</dt>
<dd>logical vector indicating which rows of metadata are in the
node to be summarized</dd>

</dl>

aggr_metadata: Aggregate metadata

Description

Usage

Value

Arguments