row_prop_anno

Creates a ComplexHeatmap row annotation showing supervised proximity
for each data sample, grouped by a split vector.

internal

Enhances decision tree visualization by incorporating Generalized
Association Plots (GAP) through matrix-based visualizations including
confusion matrix maps, decision tree matrix maps, and predicted class
membership maps based on supervised correlation and distance metrics.

Han-Ming Wu

dtGAP

Supervised Generalized Association Plots Based on Decision Trees

Chia-Yu Chang

Chun-houh Chen

row_prop_anno function

<dl><dt>sorted_dat</dt>
<dd>List from <code>sorted_mat()</code></dd>
<dt>layout</dt>
<dd>List with layout dimensions</dd>
<dt>split_vec</dt>
<dd>Factor dividing columns of the proximity matrix into groups.</dd>
<dt>palette</dt>
<dd>RColorBrewer palette name for color scale (default "OrRd").</dd>
<dt>n_colors</dt>
<dd>Number of discrete colors to generate (default 9).</dd>
<dt>border</dt>
<dd>Logical; draw cell borders if TRUE (default TRUE).</dd>
<dt>gap_mm</dt>
<dd>Unit object for gap between annotation blocks (default <code>unit(1, "mm")</code> ).</dd>
<dt>show_row_prox</dt>
<dd>Logical, whether to show row proximity.</dd></dl>

Arguments

Annotate Row Proximity on Heatmap — row_prop_anno

<dl>

<dt>sorted_dat</dt>
<dd>List from <code>sorted_mat()</code></dd>


<dt>layout</dt>
<dd>List with layout dimensions</dd>


<dt>split_vec</dt>
<dd>Factor dividing columns of the proximity matrix into groups.</dd>


<dt>palette</dt>
<dd>RColorBrewer palette name for color scale (default "OrRd").</dd>


<dt>n_colors</dt>
<dd>Number of discrete colors to generate (default 9).</dd>


<dt>border</dt>
<dd>Logical; draw cell borders if TRUE (default TRUE).</dd>


<dt>gap_mm</dt>
<dd>Unit object for gap between annotation blocks (default <code>unit(1, "mm")</code> ).</dd>


<dt>show_row_prox</dt>
<dd>Logical, whether to show row proximity.</dd>

</dl>

row_prop_anno: Annotate Row Proximity on Heatmap

Description

Usage

Value

Arguments