assert_numeric_node_aes

Raise error if an incorrect set of numeric node parameters has been supplied.

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

assert_numeric_node_aes function

<dl><dt>node_aes_name</dt>
<dd>name of the node aesthetic to check</dd>
<dt>prefix</dt>
<dd>string indicating columns containing clustering information</dd>
<dt>metadata</dt>
<dd>data.frame containing metadata on each sample that can be
used as node aesthetics</dd>
<dt>node_aes</dt>
<dd>value of the node aesthetic to check</dd>
<dt>node_aes_aggr</dt>
<dd>aggregation function associated with the node aesthetic</dd>
<dt>min</dt>
<dd>minimum numeric value allowed</dd>
<dt>max</dt>
<dd>maximum numeric value allowed</dd></dl>

Arguments

Assert numeric node aesthetics — assert_numeric_node_aes

<dl>

<dt>node_aes_name</dt>
<dd>name of the node aesthetic to check</dd>


<dt>prefix</dt>
<dd>string indicating columns containing clustering information</dd>


<dt>metadata</dt>
<dd>data.frame containing metadata on each sample that can be
used as node aesthetics</dd>


<dt>node_aes</dt>
<dd>value of the node aesthetic to check</dd>


<dt>node_aes_aggr</dt>
<dd>aggregation function associated with the node aesthetic</dd>


<dt>min</dt>
<dd>minimum numeric value allowed</dd>


<dt>max</dt>
<dd>maximum numeric value allowed</dd>

</dl>

assert_numeric_node_aes: Assert numeric node aesthetics

Description

Usage

Arguments