plot.diag_test

Draws a fourfold display of the confusion matrix with sensitivity and
specificity annotated on the bottom margin.

Streamlines the creation of descriptive frequency tables ('Table 1'),
diagnostic test accuracy evaluations (sensitivity, specificity, predictive values),
and multi-outcome regression summaries. Features automatic tables,
prevalence and odds ratio calculations, and seamless integration with 'flextable'
for exporting results to 'Microsoft Word' and 'PowerPoint'.

Matheus Trabuco Gonzalez

SimtablR

Easy Publication-Ready Tables and Regression Analysis

plot.diag_test function

<dl><dt>x</dt>
<dd>A <code>diag_test</code> object.</dd>
<dt>col</dt>
<dd>Character vector of length 2. Fill colours for the negative and
positive quadrants respectively. Default: <code>c("#ffcccc", "#ccffcc")</code>.</dd>
<dt>main</dt>
<dd>Character. Plot title. Default: <code>"Confusion Matrix"</code>.</dd>
<dt>...</dt>
<dd>Additional arguments passed to <code><a href="/link/graphics%3A%3Afourfoldplot()?package=SimtablR&version=1.2.0" data-mini-rdoc="SimtablR::graphics::fourfoldplot()">graphics::fourfoldplot()</a></code>.</dd></dl>

Arguments

Plot Diagnostic Test Results — plot.diag_test

<dl>

<dt>x</dt>
<dd>A <code>diag_test</code> object.</dd>


<dt>col</dt>
<dd>Character vector of length 2. Fill colours for the negative and
positive quadrants respectively. Default: <code>c("#ffcccc", "#ccffcc")</code>.</dd>


<dt>main</dt>
<dd>Character. Plot title. Default: <code>"Confusion Matrix"</code>.</dd>


<dt>...</dt>
<dd>Additional arguments passed to <code><a href='https://rdrr.io/r/graphics/fourfoldplot.html'>graphics::fourfoldplot()</a></code>.</dd>

</dl>

plot.diag_test: Plot Diagnostic Test Results

Description

Usage

Value

Arguments