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

Scale Functions for Visualization

package-ubuntu-20.04-r-4.0.5#cran#scales-1.1.1

train_discrete(new, existing = NULL, drop = FALSE, na.rm = FALSE)

<table summary="R argblock">
<tr valign="top">
<td><code>new</code></td>
<td>
<p>New data to add to scale</p>
</td>
</tr>
<tr valign="top">
<td><code>existing</code></td>
<td>
<p>Optional existing scale to update</p>
</td>
</tr>
<tr valign="top">
<td><code>drop</code></td>
<td>
<p><code>TRUE</code>, will drop factor levels not associated with data</p>
</td>
</tr>
<tr valign="top">
<td><code>na.rm</code></td>
<td>
<p>If <code>TRUE</code>, will remove missing values</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#scales-1.1.1#docs#train_discrete

`new`	New data to add to scale
`existing`	Optional existing scale to update
`drop`	`TRUE`, will drop factor levels not associated with data
`na.rm`	If `TRUE`, will remove missing values

train_discrete

Description

Usage

Arguments

scales

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