plot.gg_forest

Uses patchwork to combine the forest plot and table components.

Identifies the optimal confidence level to represent the results of a set of pairwise tests as suggested by Armstrong and Poirier (2025) <doi:10.1017/pan.2024.24>.

Dave Armstrong

VizTest

Optimal Confidence Intervals for Visual Testing

William Poirier

plot.gg_forest function

<dl><dt>x</dt>
<dd>An object of class <code>"gg_foest"</code>, produces with the <code>gg_forest()</code> function.</dd>
<dt>...</dt>
<dd>Other arguments passed to <code>theme()</code> to control the appearance of the combined plot.
For example, you might want to use <code>legend.position = "none"</code> if you don't want a legend for the CI colors.</dd>
<dt>widths</dt>
<dd>Numeric vector of length 2 giving the relative widths of the table and forest plot components.
The default is <code>c(1.4, 1)</code>, which gives the table slightly more width than the forest plot.</dd></dl>

Arguments

Plotting method for gg_forest objects. — plot.gg_forest

<dl>

<dt>x</dt>
<dd>An object of class <code>"gg_foest"</code>, produces with the <code>gg_forest()</code> function.</dd>


<dt>...</dt>
<dd>Other arguments passed to <code>theme()</code> to control the appearance of the combined plot.
For example, you might want to use <code>legend.position = "none"</code> if you don't want a legend for the CI colors.</dd>


<dt>widths</dt>
<dd>Numeric vector of length 2 giving the relative widths of the table and forest plot components.
The default is <code>c(1.4, 1)</code>, which gives the table slightly more width than the forest plot.</dd>

</dl>

plot.gg_forest: Plotting method for `gg_forest` objects.

Description

Usage

Value

Arguments