labelCol

Internal function for recolorize::recluster plotting.

internal

Provides a standardized and reproducible framework for characterizing
and classifying discrete color classes from digital images of biological organisms.
The package automatically determines the presence or absence of 10 human-visible
color categories (black, blue, brown, green, grey, orange, purple, red, white, yellow)
using a biologically-inspired Color Look-Up Table (CLUT) that partitions HSV color space.
Supports both fully automated and semi-automated (interactive) workflows with complete
provenance tracking for reproducibility. Pre-processes images using the 'recolorize'
package (Weller et al. 2024 <doi:10.1111/ele.14378>) for spatial-color binning, and
integrates with 'pavo' (Maia et al. 2019 <doi:10.1111/2041-210X.13174>) for color
pattern geometry statistics. Designed for high-throughput analysis and seamless
integration with downstream evolutionary analyses.

Shawn Schwartz

charisma

Reproducible Color Characterization of Digital Images for
Biological Studies

labelCol function

<dl><dt>x</dt>
<dd>Leaf of a dendrogram.</dd>
<dt>hex_cols</dt>
<dd>Hex color codes for colors to change to.</dd>
<dt>pch</dt>
<dd>The type of point to draw.</dd>
<dt>cex</dt>
<dd>The size of the point.</dd></dl>

Arguments

Change colors of dendrogram tips — labelCol

<dl>

<dt>x</dt>
<dd>Leaf of a dendrogram.</dd>


<dt>hex_cols</dt>
<dd>Hex color codes for colors to change to.</dd>


<dt>pch</dt>
<dd>The type of point to draw.</dd>


<dt>cex</dt>
<dd>The size of the point.</dd>

</dl>

labelCol: Change colors of dendrogram tips

Description

Usage

Value

Arguments