.computeCurvedMidpoint

Returns x and y midpoint using vectorized curved offset

internal

Provides plotting functions for visualizing pedigrees in behavior genetics and kinship research. The package complements 'BGmisc' [Garrison et al. (2024) <doi:10.21105/joss.06203>] by rendering pedigrees using the 'ggplot2' framework and offers a modern alternative to the base-graphics pedigree plot in 'kinship2' [Sinnwell et al. (2014) <doi:10.1159/000363105>]. Features include support for duplicated individuals, complex mating structures, integration with simulated pedigrees, and layout customization.

S. Mason Garrison

ggpedigree

Visualizing Pedigrees with 'ggplot2' and 'plotly'

.computeCurvedMidpoint function

<dl><dt>x0</dt>
<dd>Numeric vector of x coordinates for start points</dd>
<dt>y0</dt>
<dd>Numeric vector of y coordinates for start points</dd>
<dt>x1</dt>
<dd>Numeric vector of x coordinates for end points</dd>
<dt>y1</dt>
<dd>Numeric vector of y coordinates for end points</dd>
<dt>curvature</dt>
<dd>Scalar curvature (geom_curve style)</dd>
<dt>angle</dt>
<dd>Scalar angle in degrees</dd>
<dt>shift</dt>
<dd>Scalar shift in degrees (default is 0)</dd>
<dt>t</dt>
<dd>Scalar value between 0 and 1 for interpolation (default is 0.5) setting the midpoint</dd></dl>

Arguments

Compute midpoint coordinate for curved segment — .computeCurvedMidpoint

<dl>

<dt>x0</dt>
<dd>Numeric vector of x coordinates for start points</dd>


<dt>y0</dt>
<dd>Numeric vector of y coordinates for start points</dd>


<dt>x1</dt>
<dd>Numeric vector of x coordinates for end points</dd>


<dt>y1</dt>
<dd>Numeric vector of y coordinates for end points</dd>


<dt>curvature</dt>
<dd>Scalar curvature (geom_curve style)</dd>


<dt>angle</dt>
<dd>Scalar angle in degrees</dd>


<dt>shift</dt>
<dd>Scalar shift in degrees (default is 0)</dd>


<dt>t</dt>
<dd>Scalar value between 0 and 1 for interpolation (default is 0.5) setting the midpoint</dd>

</dl>

.computeCurvedMidpoint: Compute midpoint coordinate for curved segment

Description

Usage

Value

Arguments