train_discrete

Graphical scales map data to aesthetics, and provide methods
for automatically determining breaks and labels for axes and legends.

Hadley Wickham

scales

Scale Functions for Visualization

Dana Seidel

RStudio 

train_discrete function

<dl><dt>new</dt>
<dd>New data to add to scale</dd>
<dt>existing</dt>
<dd>Optional existing scale to update</dd>
<dt>drop</dt>
<dd><code>TRUE</code>, will drop factor levels not associated with data</dd>
<dt>na.rm</dt>
<dd>If <code>TRUE</code>, will remove missing values</dd></dl>

Arguments

Train (update) a discrete scale — train_discrete

<dl>

<dt>new</dt>
<dd>New data to add to scale</dd>


<dt>existing</dt>
<dd>Optional existing scale to update</dd>


<dt>drop</dt>
<dd><code>TRUE</code>, will drop factor levels not associated with data</dd>


<dt>na.rm</dt>
<dd>If <code>TRUE</code>, will remove missing values</dd>

</dl>

train_discrete: Train (update) a discrete scale

Description

Usage

Arguments