closest_dup

Find the closest duplicate appearance based on coordinates

internal

Provides plotting functions for visualizing pedigrees and family trees. The package complements a behavior genetics package 'BGmisc' [Garrison et al. (2024) <doi:10.21105/joss.06203>] by rendering pedigrees using the 'ggplot2' framework. Features include support for duplicated individuals, complex mating structures, integration with simulated pedigrees, and layout customization. Due to the impending deprecation of kinship2, version 1.0 incorporates the layout helper functions from kinship2. The pedigree alignment algorithms are adapted from 'kinship2' [Sinnwell et al. (2014) <doi:10.1159/000363105>]. We gratefully acknowledge the original authors: Jason Sinnwell, Terry Therneau, Daniel Schaid, and Elizabeth Atkinson for their foundational work.

S. Mason Garrison

ggpedigree

Visualizing Pedigrees with 'ggplot2' and 'plotly'

closest_dup function

<dl><dt>target_core</dt>
<dd>The coreID of the individual to find.</dd>
<dt>x0</dt>
<dd>The x-coordinate of the reference point.</dd>
<dt>y0</dt>
<dd>The y-coordinate of the reference point.</dd>
<dt>dup_xy_list</dt>
<dd>A list of data.frames, each containing duplicate appearances
for a specific coreID with columns: `personID`, `x_pos`, `y_pos`, and `total_blue`.</dd>
<dt>dup_xy</dt>
<dd>A data.frame containing all duplicate appearances with columns:
`personID`, `coreID`, `x_pos`, `y_pos`, and `total_blue`.</dd></dl>

Arguments

Find the closest duplicate appearance based on coordinates — closest_dup

<dl>

<dt>target_core</dt>
<dd>The coreID of the individual to find.</dd>


<dt>x0</dt>
<dd>The x-coordinate of the reference point.</dd>


<dt>y0</dt>
<dd>The y-coordinate of the reference point.</dd>


<dt>dup_xy_list</dt>
<dd>A list of data.frames, each containing duplicate appearances
for a specific coreID with columns: `personID`, `x_pos`, `y_pos`, and `total_blue`.</dd>


<dt>dup_xy</dt>
<dd>A data.frame containing all duplicate appearances with columns:
`personID`, `coreID`, `x_pos`, `y_pos`, and `total_blue`.</dd>

</dl>

closest_dup: Find the closest duplicate appearance based on coordinates

Description

Usage

Value

Arguments