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-  <link rel="stylesheet" href="index_files/libs/revealjs/dist/reveal.css">
-  <style>
+<link href="index_files/libs/quarto-contrib/fontawesome6-1.2.0/latex-fontsize.css" rel="stylesheet"><meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
+<meta charset="utf-8">
+<meta name="generator" content="quarto-1.6.33">
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+<meta name="apple-mobile-web-app-capable" content="yes">
+<meta name="apple-mobile-web-app-status-bar-style" content="black-translucent">
+<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no, minimal-ui">
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+<style>
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@@ -95,12 +95,12 @@
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     code span.wa { color: #5e5e5e; font-style: italic; } /* Warning */
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+<link rel="stylesheet" href="index_files/libs/revealjs/dist/theme/quarto-077ed0fd3b2b6c9aff5defd058debd56.css">
+<link href="index_files/libs/revealjs/plugin/quarto-line-highlight/line-highlight.css" rel="stylesheet">
+<link href="index_files/libs/revealjs/plugin/reveal-menu/menu.css" rel="stylesheet">
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+<link href="index_files/libs/revealjs/plugin/quarto-support/footer.css" rel="stylesheet">
+<style type="text/css">
     .reveal div.sourceCode {
       margin: 0;
       overflow: auto;
@@ -193,8 +193,7 @@
     <div class="slides">
 
 
-<section id="ggstatsplot-informative-statistical-visualizations" class="slide level2" style="margin-top: 1em;">
-<h2>{ggstatsplot}: Informative Statistical Visualizations</h2>
+<section id="ggstatsplot-informative-statistical-visualizations" class="slide level2" style="margin-top: 1em;"><h2>{ggstatsplot}: Informative Statistical Visualizations</h2>
 <!-- Don't render this file manually. Run `renderer.R` script instead. -->
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@@ -203,43 +202,25 @@ <h2>{ggstatsplot}: Informative Statistical Visualizations</h2>
 </div>
 <div style="margin-top: 1em; font-size:0.75em">
 <div class="quarto-figure quarto-figure-center">
-<figure>
-<p><img data-src="media/logo.png" class="relative quarto-figure quarto-figure-center" width="350" height="350"></p>
+<figure><p><img data-src="media/logo.png" class="relative quarto-figure quarto-figure-center" width="350" height="350"></p>
 </figure>
 </div>
 </div>
-</section>
-<section id="plan" class="slide level2 smaller">
-<h2>Plan</h2>
-<ul>
-<li><p>Why <code>ggstatsplot</code>?</p></li>
-<li><p>Primary functions</p></li>
-<li><p>Customizability</p></li>
-<li><p>Benefits</p></li>
-<li><p>Misconceptions</p></li>
-<li><p>Limitations</p></li>
-</ul>
-</section>
-<section id="raison-dêtre" class="slide level2 smaller">
-<h2>Raison d’être</h2>
+</section><section id="why-ggstatsplot" class="slide level2 smaller"><h2>Why <code>{ggstatsplot}</code>?</h2>
 <div class="columns">
 <div class="column" style="width:50%;">
 <p>Current CRAN package count <strong>&gt;23,000</strong></p>
 <p><img data-src="media/y_tho.jpg" width="400"></p>
 </div><div class="column" style="width:50%;">
-<p><br> <br> <br> <code>{ggstatsplot}</code> provides <br> <br> 📊 information-rich plots with statistical details <br> <br> 📝 suitable for faster (exploratory) data analysis and scholarly reports <br></p>
+<p><br><br><br><a href="https://indrajeetpatil.github.io/ggstatsplot/">ggstatsplot</a> provides <br><br> 📊 information-rich plots with statistical details <br><br> 📝 suitable for faster (exploratory) data analysis and reporting <br></p>
 </div></div>
-</section>
-<section id="informative-graphic-a-thousand-words" class="slide level2 smaller">
-<h2>Informative graphic = a thousand words</h2>
+</section><section id="informative-graphic-a-thousand-words" class="slide level2 smaller"><h2>Informative graphic = a thousand words</h2>
 
 <img data-src="media/datasaurus.gif" class="r-stretch"><div class="footer">
 <p><a href="https://www.autodeskresearch.com/publications/samestats">(Matejka &amp; Fitzmaurice, <em>Autodesk Research</em>,2017)</a></p>
 </div>
 <p><strong>Graphical</strong> summaries can reveal problems not visible from <strong>numerical</strong> statistics.</p>
-</section>
-<section id="ready-made-plot-no-customization" class="slide level2 smaller">
-<h2>Ready-made plot = no customization</h2>
+</section><section id="ready-made-plot-no-customization" class="slide level2 smaller"><h2>Ready-made plot = no customization</h2>
 <p>The <strong>grammar of graphics</strong> is a powerful framework <a href="https://www.google.com/books/edition/_/iI1kcgAACAAJ?hl=en&amp;sa=X&amp;ved=2ahUKEwiGl8rJ2KztAhWyElkFHa8NAvkQre8FMBR6BAgMEAc">(Wilkinson, 2011)</a> and can help you make <em>any</em> graphics fitting your specific data visualization needs! But…</p>
 <div class="fragment">
 <div class="columns">
@@ -249,9 +230,22 @@ <h2>Ready-made plot = no customization</h2>
 <p><img data-src="media/cat_trademill.gif"></p>
 </div></div>
 </div>
-</section>
-<section id="simplerfaster-data-analysis-workflow" class="slide level2 smaller">
-<h2>Simpler/faster data analysis workflow</h2>
+<div class="fragment">
+<div class="callout callout-tip callout-titled callout-style-default">
+<div class="callout-body">
+<div class="callout-title">
+<div class="callout-icon-container">
+<i class="callout-icon"></i>
+</div>
+<p><strong>Quality of Life (QoL) improvements with <a href="https://indrajeetpatil.github.io/ggstatsplot/">ggstatsplot</a></strong></p>
+</div>
+<div class="callout-content">
+<p>Provide ready-made plots with defaults following the best practices in statistical reporting and data visualization.</p>
+</div>
+</div>
+</div>
+</div>
+</section><section id="simplerfaster-data-analysis-workflow" class="slide level2 smaller"><h2>Simpler/faster data analysis workflow</h2>
 
 <img data-src="media/ds_workflow.png" class="r-stretch"><div class="footer">
 <p><a href="https://r4ds.had.co.nz/">(Grolemund &amp; Wickham, <em>R for Data Science</em>, 2017)</a></p>
@@ -266,7 +260,7 @@ <h2>Simpler/faster data analysis workflow</h2>
 <div class="callout-icon-container">
 <i class="callout-icon"></i>
 </div>
-<p><strong>Central idea of <code>{ggstatsplot}</code></strong></p>
+<p><strong>Central idea of <a href="https://indrajeetpatil.github.io/ggstatsplot/">ggstatsplot</a></strong></p>
 </div>
 <div class="callout-content">
 <p>Simple: combine these two phases into one!</p>
@@ -274,21 +268,17 @@ <h2>Simpler/faster data analysis workflow</h2>
 </div>
 </div>
 </div>
-</section>
-<section id="and-a-lot-more" class="slide level2 smaller">
-<h2>And a LOT more!</h2>
+</section><section id="and-a-lot-more" class="slide level2 smaller"><h2>And a LOT more!</h2>
 <p>…but we will come back to that later 📌</p>
 <p>Let’s get started first!</p>
 <p><br></p>
 <div class="fragment">
 <p>Package available for installation on CRAN and GitHub:</p>
 <table class="caption-top">
-<thead>
-<tr class="header">
+<thead><tr class="header">
 <th style="text-align: left;">Type</th>
 <th style="text-align: left;">Command</th>
-</tr>
-</thead>
+</tr></thead>
 <tbody>
 <tr class="odd">
 <td style="text-align: left;">Release</td>
@@ -301,14 +291,9 @@ <h2>And a LOT more!</h2>
 </tbody>
 </table>
 </div>
-</section>
-<section>
-<section id="example-function" class="title-slide slide level1 center">
-<h1>Example function</h1>
+</section><section><section id="example-function" class="title-slide slide level1 center"><h1>Example function</h1>
 
-</section>
-<section id="ggbetweenstats" class="slide level2 smaller">
-<h2><code>ggbetweenstats()</code></h2>
+</section><section id="ggbetweenstats" class="slide level2 smaller"><h2><code>ggbetweenstats()</code></h2>
 <p>For between-group comparisons</p>
 <div class="columns">
 <div class="column" style="width:65%;">
@@ -321,8 +306,7 @@ <h2><code>ggbetweenstats()</code></h2>
 <span id="cb1-6"><a href=""></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 <div class="cell-output-display">
 <div>
-<figure>
-<p><img data-src="index_files/figure-revealjs/ggbetweenstats_1-1.png" width="3000"></p>
+<figure><p><img data-src="index_files/figure-revealjs/ggbetweenstats_1-1.png" width="3000"></p>
 </figure>
 </div>
 </div>
@@ -358,29 +342,20 @@ <h2><code>ggbetweenstats()</code></h2>
 </div>
 </div>
 </div></div>
-</section>
-<section id="other-functions" class="slide level2 smaller">
-<h2>Other functions</h2>
-
-<img data-src="media/collage.jpeg" class="r-stretch"></section></section>
-<section>
-<section id="why-use-ggstatsplot" class="title-slide slide level1 center">
-<h1>Why use <code>{ggstatsplot}</code>? 👍️</h1>
-
-</section>
-<section id="results-in-context-of-the-data" class="slide level2 smaller">
-<h2>Results <em>in context</em> of the data 🕵️</h2>
+</section><section id="other-functions" class="slide level2 smaller"><h2>Other functions</h2>
+
+<img data-src="media/collage.jpeg" class="r-stretch"></section></section><section><section id="benefits-for-statistical-reporting" class="title-slide slide level1 center"><h1>Benefits for Statistical Reporting</h1>
+
+</section><section id="results-in-context-of-the-data" class="slide level2 smaller"><h2>Results <em>in context</em> of the data 🕵️</h2>
 <div class="columns">
 <div class="column" style="width:50%;">
 <p><strong>Standard approach</strong></p>
 <p>Pearson’s correlation test revealed that, across 142 participants, variable <code>x</code> was negatively correlated with variable <code>y</code>: <span class="math inline">\(t(140)=-0.76, p=.446\)</span>. The effect size <span class="math inline">\((r=-0.06, 95\% CI [-.23,.10])\)</span> was small, as per Cohen’s (1988) conventions. The Bayes Factor for the same analysis revealed that the data were 5.81 times more probable under the null hypothesis as compared to the alternative hypothesis. This can be considered moderate evidence (Jeffreys, 1961) in favor of the null hypothesis (absence of any correlation between <code>x</code> and <code>y</code>).</p>
 </div><div class="column" style="width:50%;">
-<p><strong><code>{ggstatsplot}</code> approach</strong></p>
+<p><strong><a href="https://indrajeetpatil.github.io/ggstatsplot/">ggstatsplot</a> approach</strong></p>
 <p><img data-src="media/after_ggstats.PNG"></p>
 </div></div>
-</section>
-<section id="toggling-statistical-approaches" class="slide level2 smaller">
-<h2>Toggling statistical approaches 🔀</h2>
+</section><section id="toggling-statistical-approaches" class="slide level2 smaller"><h2>Toggling statistical approaches 🔀</h2>
 <div class="columns">
 <div class="column" style="width:50%;">
 <p><strong>Parametric</strong></p>
@@ -433,9 +408,7 @@ <h2>Toggling statistical approaches 🔀</h2>
 <span id="cb3-22"><a href=""></a>  <span class="at">type =</span> <span class="st">"np"</span> </span>
 <span id="cb3-23"><a href=""></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div></div>
-</section>
-<section id="alternative-to-painful-workflow" class="slide level2 smaller">
-<h2>Alternative to painful workflow</h2>
+</section><section id="alternative-to-painful-workflow" class="slide level2 smaller"><h2>Alternative to painful workflow</h2>
 <div class="columns">
 <div class="column" style="width:60%;">
 <p><strong>Load ’em up!</strong></p>
@@ -446,14 +419,9 @@ <h2>Alternative to painful workflow</h2>
 <p>🤔 accepts dataframe, vector, matrix? <br> 🤔 long/wide format data? <br> 🤔 works with <code>NA</code>s? <br> 🤔 returns list, dataframe, arrays? <br> 🤔 works with tibbles? <br> 🤔 has all necessary details? <br> 🤔 . <br></p>
 <p><img data-src="media/monkey.gif"></p>
 </div></div>
-</section></section>
-<section>
-<section id="plot-customizability" class="title-slide slide level1 center">
-<h1>Plot Customizability</h1>
+</section></section><section><section id="plot-customizability" class="title-slide slide level1 center"><h1>Plot Customizability</h1>
 <p>“What if I don’t like the default plots?” 🤔</p>
-</section>
-<section id="changing-aesthetics" class="slide level2 smaller">
-<h2>Changing aesthetics 🎨</h2>
+</section><section id="changing-aesthetics" class="slide level2 smaller"><h2>Changing aesthetics 🎨</h2>
 <div class="columns">
 <div class="column" style="width:50%;">
 <div class="cell">
@@ -467,19 +435,16 @@ <h2>Changing aesthetics 🎨</h2>
 <span id="cb4-8"><a href=""></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 <div class="cell-output-display">
 <div>
-<figure>
-<p><img data-src="index_files/figure-revealjs/ggbetweenstats_4-1.png" width="3000"></p>
+<figure><p><img data-src="index_files/figure-revealjs/ggbetweenstats_4-1.png" width="3000"></p>
 </figure>
 </div>
 </div>
 </div>
 </div><div class="column" style="width:50%;">
-<p>Aesthetic preferences not an excuse to avoid <code>{ggstatsplot}</code>! 😻 Any ggplot theme or palette can be used. <br> <br> N.B. The default palette is <strong>colorblind-friendly</strong>.</p>
+<p>Aesthetic preferences not an excuse to avoid <a href="https://indrajeetpatil.github.io/ggstatsplot/">ggstatsplot</a>! 😻 Any ggplot theme or palette can be used. <br><br> N.B. The default palette is <strong>colorblind-friendly</strong>.</p>
 </div></div>
-</section>
-<section id="modification-with-ggplot2" class="slide level2 smaller">
-<h2>Modification with <code>{ggplot2}</code> 🛠</h2>
-<p>You can modify <code>{ggstatsplot}</code> plots further using <code>{ggplot2}</code> functions. 🎉</p>
+</section><section id="modification-with-ggplot2" class="slide level2 smaller"><h2>Modification with <code>{ggplot2}</code> 🛠</h2>
+<p>You can modify <a href="https://indrajeetpatil.github.io/ggstatsplot/">ggstatsplot</a> plots further using <a href="https://ggplot2.tidyverse.org">ggplot2</a> functions. 🎉</p>
 <div class="cell">
 <div class="sourceCode cell-code" id="cb5"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb5-1"><a href=""></a><span class="fu">ggbetweenstats</span>(</span>
 <span id="cb5-2"><a href=""></a>  <span class="at">data =</span> mtcars,</span>
@@ -490,9 +455,7 @@ <h2>Modification with <code>{ggplot2}</code> 🛠</h2>
 <span id="cb5-7"><a href=""></a>  <span class="fu">scale_y_continuous</span>(<span class="at">sec.axis =</span> <span class="fu">dup_axis</span>()) </span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 
 </div>
-<img data-src="index_files/figure-revealjs/ggbetweenstats_5-1.png" width="3000" class="r-stretch"></section>
-<section id="too-much-information" class="slide level2 smaller">
-<h2>Too much information 🙈</h2>
+<img data-src="index_files/figure-revealjs/ggbetweenstats_5-1.png" width="3000" class="r-stretch"></section><section id="too-much-information" class="slide level2 smaller"><h2>Too much information 🙈</h2>
 <div class="fragment">
 <div class="columns">
 <div class="column" style="width:40%;">
@@ -512,8 +475,7 @@ <h2>Too much information 🙈</h2>
 <div class="cell">
 <div class="cell-output-display">
 <div>
-<figure>
-<p><img data-src="index_files/figure-revealjs/ggbetweenstats_only_plot-1.png" width="3000"></p>
+<figure><p><img data-src="index_files/figure-revealjs/ggbetweenstats_only_plot-1.png" width="3000"></p>
 </figure>
 </div>
 </div>
@@ -537,22 +499,16 @@ <h2>Too much information 🙈</h2>
 <div class="cell">
 <div class="cell-output-display">
 <div>
-<figure>
-<p><img data-src="index_files/figure-revealjs/ggpiestats_only_plot-1.png" width="3000"></p>
+<figure><p><img data-src="index_files/figure-revealjs/ggpiestats_only_plot-1.png" width="3000"></p>
 </figure>
 </div>
 </div>
 </div>
 </div></div>
 </div>
-</section></section>
-<section>
-<section id="negatives" class="title-slide slide level1 center">
-<h1>Negatives</h1>
+</section></section><section><section id="negatives" class="title-slide slide level1 center"><h1>Negatives</h1>
 
-</section>
-<section id="golem-of-prague-issue" class="slide level2 smaller">
-<h2>“Golem of Prague” issue</h2>
+</section><section id="golem-of-prague-issue" class="slide level2 smaller"><h2>“Golem of Prague” issue</h2>
 <div class="columns">
 <div class="column" style="width:40%;">
 <p>Promotes mindless application of statistical tests.</p>
@@ -566,27 +522,21 @@ <h3 class="smaller" id="clunky-api">Clunky API</h3>
 <div class="column" style="width:50%;">
 <ul>
 <li>Too many arguments to remember.</li>
-<li>Not a “real” ggplot2 extension.</li>
+<li>Not a “real” <a href="https://ggplot2.tidyverse.org">ggplot2</a> extension.</li>
 </ul>
 </div><div class="column" style="width:50%;">
 <ul>
 <li>Limited number of functions.</li>
-<li>Expects non-trivial statistical proficiency.</li>
+<li>Non-trivial statistical proficiency needed.</li>
 </ul>
 </div></div>
 </div>
-</section></section>
-<section>
-<section id="positives" class="title-slide slide level1 center">
-<h1>Positives</h1>
+</section></section><section><section id="positives" class="title-slide slide level1 center"><h1>Positives</h1>
 
-</section>
-<section id="quality-assurance" class="slide level2 smaller">
-<h2>Quality Assurance</h2>
+</section><section id="quality-assurance" class="slide level2 smaller"><h2>Quality Assurance</h2>
 <div class="columns">
 <div class="column" style="width:50%;">
 <p>Each commit must pass many QA checks:</p>
-<p><img data-src="media/pr-qa.png"></p>
 <div class="callout callout-note callout-titled callout-style-default">
 <div class="callout-body">
 <div class="callout-title">
@@ -610,14 +560,24 @@ <h2>Quality Assurance</h2>
 </div>
 </div>
 </div>
+<p><img data-src="media/pr-qa.png"></p>
 </div><div class="column" style="width:50%;">
-<p>Healthy code base:</p>
-<p><a href="https://indrajeetpatil.github.io/refactoring-ggstatsplot/refactoring-ggstatsplot#1"><img data-src="media/refactoring.png"></a></p>
+<div class="callout callout-tip callout-titled callout-style-default">
+<div class="callout-body">
+<div class="callout-title">
+<div class="callout-icon-container">
+<i class="callout-icon"></i>
+</div>
+<p><strong>Healthy and active code base</strong></p>
+</div>
+<div class="callout-content">
 <p><img data-src="media/ggstats-contributions.png"></p>
+<p><a href="https://indrajeetpatil.github.io/refactoring-ggstatsplot/refactoring-ggstatsplot#1"><img data-src="media/refactoring.png"></a></p>
+</div>
+</div>
+</div>
 </div></div>
-</section>
-<section id="reception" class="slide level2 smaller">
-<h2>Reception</h2>
+</section><section id="reception" class="slide level2 smaller"><h2>Reception</h2>
 <div class="columns">
 <div class="column" style="width:50%;">
 <div class="callout callout-important callout-titled callout-style-default">
@@ -637,8 +597,7 @@ <h2>Reception</h2>
 <span id="cb8-5"><a href=""></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 <div class="cell-output-display">
 <div>
-<figure>
-<p><img data-src="index_files/figure-revealjs/cran_downloads-1.png" width="3000"></p>
+<figure><p><img data-src="index_files/figure-revealjs/cran_downloads-1.png" width="3000"></p>
 </figure>
 </div>
 </div>
@@ -663,192 +622,181 @@ <h2>Reception</h2>
 </div>
 <p><img data-src="media/ggstats-citations.png"></p>
 </div></div>
-</section></section>
-<section>
-<section id="conclusion" class="title-slide slide level1 center">
-<h1>Conclusion</h1>
-
-</section>
-<section id="exploring-data-made-easy" class="slide level2 smaller">
-<h2>Exploring data made easy! 😉</h2>
-<p>In summary, the <code>ggstatsplot</code> approach- <br> <br> (<em>a</em>) avoids errors in statistical reporting, <br> <br> (<em>b</em>) highlights the importance of the effect by providing effect size measures by default, <br> <br> (<em>c</em>) provides an easy way to evaluate <em>absence</em> of an effect using Bayesian framework, <br> <br> (<em>d</em>) demands to evaluate statistical analysis in the context of the underlying data, <br> <br> and is (<em>e</em>) easy and (<em>f</em>) simple enough that somebody with little coding experience can use it without making an error.</p>
-</section></section>
-<section id="for-more" class="title-slide slide level1 center">
-<h1>For more</h1>
+</section></section><section><section id="conclusion" class="title-slide slide level1 center"><h1>Conclusion</h1>
+
+</section><section id="exploring-data-made-easy" class="slide level2 smaller"><h2>Exploring data made easy! 😉</h2>
+<p><br><br> In summary, the <code>ggstatsplot</code> approach- <br><br> (<em>a</em>) avoids errors in statistical reporting, <br><br> (<em>b</em>) highlights the importance of the effect by providing effect size measures by default, <br><br> (<em>c</em>) provides an easy way to evaluate <em>absence</em> of an effect using Bayesian framework, <br><br> (<em>d</em>) demands to evaluate statistical analysis in the context of the underlying data, and is <br><br> (<em>e</em>) easy and (<em>f</em>) simple enough that somebody with little coding experience can use it without making an error.</p>
+</section></section><section id="for-more" class="title-slide slide level1 center"><h1>For more</h1>
 <p>Source code for these slides can be found <a href="https://github.com/IndrajeetPatil/intro-to-ggstatsplot" target="_blank">on GitHub</a>.</p>
 <p>If you are interested in good programming and software development practices, check out my other <a href="https://sites.google.com/site/indrajeetspatilmorality/presentations" target="_blank">slide decks</a>.</p>
-</section>
-
-<section id="find-me-at" class="title-slide slide level1 center">
-<h1>Find me at…</h1>
+</section><section id="find-me-at" class="title-slide slide level1 center"><h1>Find me at…</h1>
 <p><i class="fa-brands fa-twitter" aria-label="twitter"></i> <a href="http://twitter.com/patilindrajeets" target="_blank">Twitter</a></p>
 <p><i class="fa-brands fa-linkedin" aria-label="linkedin"></i> <a href="https://www.linkedin.com/in/indrajeet-patil-397865174/" target="_blank">LikedIn</a></p>
 <p><i class="fa-brands fa-github" aria-label="github"></i> <a href="http://github.com/IndrajeetPatil" target="_blank">GitHub</a></p>
 <p><i class="fa-solid fa-link" aria-label="link"></i> <a href="https://sites.google.com/site/indrajeetspatilmorality/" target="_blank">Website</a></p>
 <p><i class="fa-solid fa-envelope" aria-label="envelope"></i> <a href="mailto:patilindrajeet.science@gmail.com" target="_blank">E-mail</a></p>
-</section>
+</section><section><section id="thank-you" class="title-slide slide level1 center"><h1>Thank You 😊</h1>
 
-<section>
-<section id="thank-you" class="title-slide slide level1 center">
-<h1>Thank You 😊</h1>
-
-</section>
-<section id="session-information" class="slide level2 smaller">
-<h2>Session information</h2>
+</section><section id="session-information" class="slide level2 smaller"><h2>Session information</h2>
 <div class="cell">
 <div class="sourceCode cell-code" id="cb9"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb9-1"><a href=""></a>sessioninfo<span class="sc">::</span><span class="fu">session_info</span>(<span class="at">include_base =</span> <span class="cn">TRUE</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 <div class="cell-output cell-output-stdout">
 <pre><code>─ Session info ───────────────────────────────────────────────────────────────
  setting  value
  version  R version 4.4.2 (2024-10-31)
- os       Ubuntu 22.04.5 LTS
- system   x86_64, linux-gnu
- hostname fv-az1456-909
+ os       macOS Sequoia 15.1
+ system   aarch64, darwin20
+ hostname MacBookAir.fritz.box
  ui       X11
  language (EN)
- collate  C.UTF-8
- ctype    C.UTF-8
- tz       UTC
+ collate  en_US.UTF-8
+ ctype    en_US.UTF-8
+ tz       Europe/Berlin
  date     2024-11-10
- pandoc   3.5 @ /opt/hostedtoolcache/pandoc/3.5/x64/ (via rmarkdown)
+ pandoc   3.5 @ /usr/local/bin/ (via rmarkdown)
  quarto   1.6.33 @ /usr/local/bin/quarto
 
 ─ Packages ───────────────────────────────────────────────────────────────────
- package          * version     date (UTC) lib source
- base             * 4.4.2       2024-10-31 [3] local
- BayesFactor        0.9.12-4.7  2024-01-24 [1] RSPM
- bayestestR         0.15.0      2024-10-17 [1] RSPM
- bitops             1.0-9       2024-10-03 [1] RSPM
- BWStest            0.2.3       2023-10-10 [1] RSPM
- cachem             1.1.0       2024-05-16 [1] RSPM
- cli                3.6.3       2024-06-21 [1] RSPM
- coda               0.19-4.1    2024-01-31 [1] RSPM
- colorspace         2.1-1       2024-07-26 [1] RSPM
- compiler           4.4.2       2024-10-31 [3] local
- correlation        0.8.6       2024-10-26 [1] RSPM
- cranlogs           2.1.1       2019-04-29 [1] RSPM
- curl               6.0.0       2024-11-05 [1] RSPM
- data.table         1.16.2      2024-10-10 [1] RSPM
- datasets         * 4.4.2       2024-10-31 [3] local
- datawizard         0.13.0      2024-10-05 [1] RSPM
- digest             0.6.37      2024-08-19 [1] RSPM
- dplyr              1.1.4       2023-11-17 [1] RSPM
- effectsize         0.8.9       2024-07-03 [1] RSPM
- evaluate           1.0.1       2024-10-10 [1] RSPM
- fansi              1.0.6       2023-12-08 [1] RSPM
- farver             2.1.2       2024-05-13 [1] RSPM
- fastmap            1.2.0       2024-05-15 [1] RSPM
- generics           0.1.3       2022-07-05 [1] RSPM
- ggiraph            0.8.10      2024-05-17 [1] RSPM
- ggiraphExtra       0.3.0       2020-10-06 [1] RSPM
- ggplot2          * 3.5.1       2024-04-23 [1] RSPM
- ggrepel            0.9.6       2024-09-07 [1] RSPM
- ggsignif           0.6.4       2022-10-13 [1] RSPM
- ggstatsplot      * 0.12.5.9000 2024-11-10 [1] Github (IndrajeetPatil/ggstatsplot@d1ce456)
- ggthemes           5.1.0       2024-02-10 [1] RSPM
- glue               1.8.0       2024-09-30 [1] RSPM
- gmp                0.7-5       2024-08-23 [1] RSPM
- graphics         * 4.4.2       2024-10-31 [3] local
- grDevices        * 4.4.2       2024-10-31 [3] local
- grid               4.4.2       2024-10-31 [3] local
- gtable             0.3.6       2024-10-25 [1] RSPM
- htmltools          0.5.8.1     2024-04-04 [1] RSPM
- htmlwidgets        1.6.4       2023-12-06 [1] RSPM
- httr               1.4.7       2023-08-15 [1] RSPM
- insight            0.20.5      2024-10-02 [1] RSPM
- jsonlite           1.8.9       2024-09-20 [1] RSPM
- knitr              1.49        2024-11-08 [1] RSPM
- kSamples           1.2-10      2023-10-07 [1] RSPM
- labeling           0.4.3       2023-08-29 [1] RSPM
- lattice            0.22-6      2024-03-20 [3] CRAN (R 4.4.2)
- lifecycle          1.0.4       2023-11-07 [1] RSPM
- lubridate          1.9.3       2023-09-27 [1] RSPM
- magrittr           2.0.3       2022-03-30 [1] RSPM
- MASS               7.3-61      2024-06-13 [3] CRAN (R 4.4.2)
- Matrix             1.7-1       2024-10-18 [3] CRAN (R 4.4.2)
- MatrixModels       0.5-3       2023-11-06 [1] RSPM
- memoise            2.0.1       2021-11-26 [1] RSPM
- methods          * 4.4.2       2024-10-31 [3] local
- mgcv               1.9-1       2023-12-21 [3] CRAN (R 4.4.2)
- multcompView       0.1-10      2024-03-08 [1] RSPM
- munsell            0.5.1       2024-04-01 [1] RSPM
- mvtnorm            1.3-2       2024-11-04 [1] RSPM
- mycor              0.1.1       2018-04-10 [1] RSPM
- nlme               3.1-166     2024-08-14 [3] CRAN (R 4.4.2)
- packageRank      * 0.9.3       2024-10-16 [1] RSPM
- paletteer          1.6.0       2024-01-21 [1] RSPM
- parallel           4.4.2       2024-10-31 [3] local
- parameters         0.23.0      2024-10-18 [1] RSPM
- patchwork          1.3.0       2024-09-16 [1] RSPM
- pbapply            1.7-2       2023-06-27 [1] RSPM
- performance        0.12.4      2024-10-18 [1] RSPM
- pillar             1.9.0       2023-03-22 [1] RSPM
- pkgconfig          2.0.3       2019-09-22 [1] RSPM
- pkgsearch          3.1.3       2023-12-10 [1] RSPM
- plyr               1.8.9       2023-10-02 [1] RSPM
- PMCMRplus          1.9.12      2024-09-08 [1] RSPM
- ppcor              1.1         2015-12-03 [1] RSPM
- prismatic          1.1.2       2024-04-10 [1] RSPM
- purrr              1.0.2       2023-08-10 [1] RSPM
- R.methodsS3        1.8.2       2022-06-13 [1] RSPM
- R.oo               1.27.0      2024-11-01 [1] RSPM
- R.utils            2.12.3      2023-11-18 [1] RSPM
- R6                 2.5.1       2021-08-19 [1] RSPM
- RColorBrewer       1.1-3       2022-04-03 [1] RSPM
- Rcpp               1.0.13-1    2024-11-02 [1] RSPM
- RCurl              1.98-1.16   2024-07-11 [1] RSPM
- rematch2           2.1.2       2020-05-01 [1] RSPM
- reshape2           1.4.4       2020-04-09 [1] RSPM
- rlang              1.1.4       2024-06-04 [1] RSPM
- rmarkdown          2.29        2024-11-04 [1] RSPM
- Rmpfr              0.9-5       2024-01-21 [1] RSPM
- scales             1.3.0       2023-11-28 [1] RSPM
- sessioninfo        1.2.2.9000  2024-11-10 [1] Github (r-lib/sessioninfo@37c81af)
- sjlabelled         1.2.0       2022-04-10 [1] RSPM
- sjmisc             2.8.10      2024-05-13 [1] RSPM
- splines            4.4.2       2024-10-31 [3] local
- stats            * 4.4.2       2024-10-31 [3] local
- statsExpressions   1.6.1       2024-10-31 [1] RSPM
- stringi            1.8.4       2024-05-06 [1] RSPM
- stringr            1.5.1       2023-11-14 [1] RSPM
- sugrrants          0.2.9       2024-03-12 [1] RSPM
- SuppDists          1.1-9.8     2024-09-03 [1] RSPM
- systemfonts        1.1.0       2024-05-15 [1] RSPM
- tibble             3.2.1       2023-03-20 [1] RSPM
- tidyr              1.3.1       2024-01-24 [1] RSPM
- tidyselect         1.2.1       2024-03-11 [1] RSPM
- timechange         0.3.0       2024-01-18 [1] RSPM
- tools              4.4.2       2024-10-31 [3] local
- utf8               1.2.4       2023-10-22 [1] RSPM
- utils            * 4.4.2       2024-10-31 [3] local
- uuid               1.2-1       2024-07-29 [1] RSPM
- vctrs              0.6.5       2023-12-01 [1] RSPM
- withr              3.0.2       2024-10-28 [1] RSPM
- xfun               0.49        2024-10-31 [1] RSPM
- yaml               2.3.10      2024-07-26 [1] RSPM
- zeallot            0.1.0       2018-01-28 [1] RSPM
-
- [1] /home/runner/work/_temp/Library
- [2] /opt/R/4.4.2/lib/R/site-library
- [3] /opt/R/4.4.2/lib/R/library
+ package          * version    date (UTC) lib source
+ base             * 4.4.2      2024-11-01 [2] local
+ BayesFactor        0.9.12-4.7 2024-01-24 [2] CRAN (R 4.4.0)
+ bayestestR         0.15.0     2024-10-17 [1] CRAN (R 4.4.1)
+ bitops             1.0-8      2024-07-29 [2] CRAN (R 4.4.1)
+ BWStest            0.2.3      2023-10-10 [2] CRAN (R 4.4.0)
+ cachem             1.1.0      2024-05-16 [1] CRAN (R 4.4.0)
+ cli                3.6.3      2024-06-21 [1] CRAN (R 4.4.0)
+ coda               0.19-4.1   2024-01-31 [2] CRAN (R 4.4.0)
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+ compiler           4.4.2      2024-11-01 [2] local
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+ data.table         1.16.0     2024-08-27 [2] CRAN (R 4.4.1)
+ datasets         * 4.4.2      2024-11-01 [2] local
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+ digest             0.6.37     2024-08-19 [1] CRAN (R 4.4.1)
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+ xfun               0.49       2024-10-31 [1] CRAN (R 4.4.1)
+ xtable             1.8-4      2019-04-21 [1] CRAN (R 4.4.0)
+ yaml               2.3.10     2024-07-26 [1] CRAN (R 4.4.1)
+ zeallot            0.1.0      2018-01-28 [2] RSPM
+ zoo                1.8-12     2023-04-13 [2] CRAN (R 4.4.0)
+
+ [1] /Users/indrajeetpatil/Library/R/arm64/4.4/library
+ [2] /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/library
  * ── Packages attached to the search path.
 
 ──────────────────────────────────────────────────────────────────────────────</code></pre>
 </div>
 </div>
-</section></section>
-<section id="appendix" class="title-slide slide level1 center">
-<h1>Appendix</h1>
+</section></section><section id="appendix" class="title-slide slide level1 center"><h1>Appendix</h1>
 
-</section>
+</section><section><section id="examples-of-other-functions" class="title-slide slide level1 center"><h1>Examples of other functions</h1>
 
-<section>
-<section id="examples-of-other-functions" class="title-slide slide level1 center">
-<h1>Examples of other functions</h1>
-
-</section>
-<section id="ggwithinstats" class="slide level2 smaller">
-<h2><code>ggwithinstats()</code></h2>
+</section><section id="ggwithinstats" class="slide level2 smaller"><h2><code>ggwithinstats()</code></h2>
 <p>Hypothesis about group differences: repeated measures design</p>
 <div class="columns">
 <div class="column" style="width:65%;">
@@ -860,8 +808,7 @@ <h2><code>ggwithinstats()</code></h2>
 <span id="cb11-5"><a href=""></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 <div class="cell-output-display">
 <div>
-<figure>
-<p><img data-src="index_files/figure-revealjs/ggwithinstats_1-1.png" width="3000"></p>
+<figure><p><img data-src="index_files/figure-revealjs/ggwithinstats_1-1.png" width="3000"></p>
 </figure>
 </div>
 </div>
@@ -897,9 +844,7 @@ <h2><code>ggwithinstats()</code></h2>
 </div>
 </div>
 </div></div>
-</section>
-<section id="gghistostats" class="slide level2 smaller">
-<h2><code>gghistostats()</code></h2>
+</section><section id="gghistostats" class="slide level2 smaller"><h2><code>gghistostats()</code></h2>
 <p>Distribution of a numeric variable</p>
 <div class="columns">
 <div class="column" style="width:65%;">
@@ -911,8 +856,7 @@ <h2><code>gghistostats()</code></h2>
 <span id="cb12-5"><a href=""></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 <div class="cell-output-display">
 <div>
-<figure>
-<p><img data-src="index_files/figure-revealjs/gghistostats_1-1.png" width="3000"></p>
+<figure><p><img data-src="index_files/figure-revealjs/gghistostats_1-1.png" width="3000"></p>
 </figure>
 </div>
 </div>
@@ -948,9 +892,7 @@ <h2><code>gghistostats()</code></h2>
 </div>
 </div>
 </div></div>
-</section>
-<section id="ggdotplotstats" class="slide level2 smaller">
-<h2><code>ggdotplotstats()</code></h2>
+</section><section id="ggdotplotstats" class="slide level2 smaller"><h2><code>ggdotplotstats()</code></h2>
 <p>Labeled numeric variable</p>
 <div class="columns">
 <div class="column" style="width:65%;">
@@ -963,8 +905,7 @@ <h2><code>ggdotplotstats()</code></h2>
 <span id="cb13-6"><a href=""></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 <div class="cell-output-display">
 <div>
-<figure>
-<p><img data-src="index_files/figure-revealjs/ggdotplotstats_1-1.png" width="3000"></p>
+<figure><p><img data-src="index_files/figure-revealjs/ggdotplotstats_1-1.png" width="3000"></p>
 </figure>
 </div>
 </div>
@@ -999,9 +940,7 @@ <h2><code>ggdotplotstats()</code></h2>
 </div>
 </div>
 </div></div>
-</section>
-<section id="ggscatterstats" class="slide level2 smaller">
-<h2><code>ggscatterstats()</code></h2>
+</section><section id="ggscatterstats" class="slide level2 smaller"><h2><code>ggscatterstats()</code></h2>
 <p>Hypothesis about correlation: Two numeric variables</p>
 <div class="columns">
 <div class="column" style="width:65%;">
@@ -1013,8 +952,7 @@ <h2><code>ggscatterstats()</code></h2>
 <span id="cb14-5"><a href=""></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 <div class="cell-output-display">
 <div>
-<figure>
-<p><img data-src="index_files/figure-revealjs/ggscatterstats_1-1.png" width="3000"></p>
+<figure><p><img data-src="index_files/figure-revealjs/ggscatterstats_1-1.png" width="3000"></p>
 </figure>
 </div>
 </div>
@@ -1049,9 +987,7 @@ <h2><code>ggscatterstats()</code></h2>
 </div>
 </div>
 </div></div>
-</section>
-<section id="ggcorrmat" class="slide level2 smaller">
-<h2><code>ggcorrmat()</code></h2>
+</section><section id="ggcorrmat" class="slide level2 smaller"><h2><code>ggcorrmat()</code></h2>
 <p>Hypothesis about correlation: Multiple numeric variables</p>
 <div class="columns">
 <div class="column" style="width:65%;">
@@ -1059,8 +995,7 @@ <h2><code>ggcorrmat()</code></h2>
 <div class="sourceCode cell-code" id="cb15"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb15-1"><a href=""></a><span class="fu">ggcorrmat</span>(dplyr<span class="sc">::</span>starwars)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 <div class="cell-output-display">
 <div>
-<figure>
-<p><img data-src="index_files/figure-revealjs/ggcorrmat_1-1.png" width="3000"></p>
+<figure><p><img data-src="index_files/figure-revealjs/ggcorrmat_1-1.png" width="3000"></p>
 </figure>
 </div>
 </div>
@@ -1093,9 +1028,7 @@ <h2><code>ggcorrmat()</code></h2>
 </div>
 </div>
 </div></div>
-</section>
-<section id="ggpiestats" class="slide level2 smaller">
-<h2><code>ggpiestats()</code></h2>
+</section><section id="ggpiestats" class="slide level2 smaller"><h2><code>ggpiestats()</code></h2>
 <p>Hypothesis about composition of categorical variables</p>
 <div class="columns">
 <div class="column" style="width:65%;">
@@ -1107,8 +1040,7 @@ <h2><code>ggpiestats()</code></h2>
 <span id="cb16-5"><a href=""></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 <div class="cell-output-display">
 <div>
-<figure>
-<p><img data-src="index_files/figure-revealjs/ggpiestats_1-1.png" width="3000"></p>
+<figure><p><img data-src="index_files/figure-revealjs/ggpiestats_1-1.png" width="3000"></p>
 </figure>
 </div>
 </div>
@@ -1136,9 +1068,7 @@ <h2><code>ggpiestats()</code></h2>
 </div>
 </div>
 </div></div>
-</section>
-<section id="ggbarstats" class="slide level2 smaller">
-<h2><code>ggbarstats()</code></h2>
+</section><section id="ggbarstats" class="slide level2 smaller"><h2><code>ggbarstats()</code></h2>
 <p>Hypothesis about composition of categorical variables</p>
 <div class="columns">
 <div class="column" style="width:65%;">
@@ -1150,8 +1080,7 @@ <h2><code>ggbarstats()</code></h2>
 <span id="cb17-5"><a href=""></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 <div class="cell-output-display">
 <div>
-<figure>
-<p><img data-src="index_files/figure-revealjs/ggbarstats_1-1.png" width="3000"></p>
+<figure><p><img data-src="index_files/figure-revealjs/ggbarstats_1-1.png" width="3000"></p>
 </figure>
 </div>
 </div>
@@ -1179,9 +1108,7 @@ <h2><code>ggbarstats()</code></h2>
 </div>
 </div>
 </div></div>
-</section>
-<section id="ggcoefstats" class="slide level2 smaller">
-<h2><code>ggcoefstats()</code></h2>
+</section><section id="ggcoefstats" class="slide level2 smaller"><h2><code>ggcoefstats()</code></h2>
 <p>Hypothesis about regression coefficients</p>
 <div class="columns">
 <div class="column" style="width:65%;">
@@ -1194,8 +1121,7 @@ <h2><code>ggcoefstats()</code></h2>
 <span id="cb18-6"><a href=""></a><span class="fu">ggcoefstats</span>(mod)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 <div class="cell-output-display">
 <div>
-<figure>
-<p><img data-src="index_files/figure-revealjs/ggcoefstats_1-1.png" width="3000"></p>
+<figure><p><img data-src="index_files/figure-revealjs/ggcoefstats_1-1.png" width="3000"></p>
 </figure>
 </div>
 </div>
@@ -1222,14 +1148,11 @@ <h2><code>ggcoefstats()</code></h2>
 </div>
 </div>
 </div></div>
-</section></section>
-<section>
-<section id="grouped_-variants-of-all-functions" class="title-slide slide level1 center">
-<h1><em>grouped_</em> variants of all functions</h1>
+</section></section><section><section id="grouped_-variants" class="title-slide slide level1 center"><h1>
+<em>grouped_</em> variants</h1>
 <p>Iterating over a grouping variable</p>
-</section>
-<section id="grouped_-functions" class="slide level2 smaller">
-<h2><em>grouped_</em> functions</h2>
+</section><section id="grouped_-functions" class="slide level2 smaller"><h2>
+<em>grouped_</em> functions</h2>
 <div class="columns">
 <div class="column" style="width:60%;">
 <div class="cell">
@@ -1240,14 +1163,21 @@ <h2><em>grouped_</em> functions</h2>
 <span id="cb19-5"><a href=""></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 <div class="cell-output-display">
 <div>
-<figure>
-<p><img data-src="index_files/figure-revealjs/grouped_1-1.png" width="3000"></p>
+<figure><p><img data-src="index_files/figure-revealjs/grouped_1-1.png" width="3000"></p>
 </figure>
 </div>
 </div>
 </div>
 </div><div class="column" style="width:40%;">
-<p>Available <code>grouped_</code> variants:</p>
+<div class="callout callout-tip callout-titled callout-style-default">
+<div class="callout-body">
+<div class="callout-title">
+<div class="callout-icon-container">
+<i class="callout-icon"></i>
+</div>
+<p><strong>Available <code>grouped_</code> variants:</strong></p>
+</div>
+<div class="callout-content">
 <ul>
 <li><code>grouped_ggbetweenstats()</code></li>
 <li><code>grouped_ggwithinstats()</code></li>
@@ -1258,15 +1188,13 @@ <h2><em>grouped_</em> functions</h2>
 <li><code>grouped_ggpiestats()</code></li>
 <li><code>grouped_ggbarstats()</code></li>
 </ul>
+</div>
+</div>
+</div>
 </div></div>
-</section></section>
-<section>
-<section id="more-ggstatsplot-benefits" class="title-slide slide level1 center">
-<h1>More <code>{ggstatsplot}</code> benefits</h1>
+</section></section><section><section id="more-ggstatsplot-benefits" class="title-slide slide level1 center"><h1>More <code>{ggstatsplot}</code> benefits</h1>
 
-</section>
-<section id="supports-different-statistical-approaches" class="slide level2 smaller">
-<h2>Supports different statistical approaches</h2>
+</section><section id="supports-different-statistical-approaches" class="slide level2 smaller"><h2>Supports different statistical approaches</h2>
 <div class="callout callout-note callout-titled callout-style-default">
 <div class="callout-body">
 <div class="callout-title">
@@ -1285,16 +1213,14 @@ <h2>Supports different statistical approaches</h2>
 <col style="width: 4%">
 <col style="width: 6%">
 </colgroup>
-<thead>
-<tr class="header">
+<thead><tr class="header">
 <th style="text-align: left;">Functions</th>
 <th style="text-align: left;">Description</th>
 <th style="text-align: left;">Parametric</th>
 <th style="text-align: left;">Non-parametric</th>
 <th style="text-align: left;">Robust</th>
 <th style="text-align: left;">Bayesian</th>
-</tr>
-</thead>
+</tr></thead>
 <tbody>
 <tr class="odd">
 <td style="text-align: left;"><code>ggbetweenstats()</code></td>
@@ -1313,7 +1239,9 @@ <h2>Supports different statistical approaches</h2>
 <td style="text-align: left;">✅</td>
 </tr>
 <tr class="odd">
-<td style="text-align: left;"><code>gghistostats()</code>, <code>ggdotplotstats()</code></td>
+<td style="text-align: left;">
+<code>gghistostats()</code>, <code>ggdotplotstats()</code>
+</td>
 <td style="text-align: left;">Distribution of a numeric variable</td>
 <td style="text-align: left;">✅</td>
 <td style="text-align: left;">✅</td>
@@ -1337,7 +1265,9 @@ <h2>Supports different statistical approaches</h2>
 <td style="text-align: left;">✅</td>
 </tr>
 <tr class="even">
-<td style="text-align: left;"><code>ggpiestats()</code>, <code>ggbarstats()</code></td>
+<td style="text-align: left;">
+<code>ggpiestats()</code>, <code>ggbarstats()</code>
+</td>
 <td style="text-align: left;">Association between categorical variables</td>
 <td style="text-align: left;">✅</td>
 <td style="text-align: left;"><code>NA</code></td>
@@ -1345,7 +1275,9 @@ <h2>Supports different statistical approaches</h2>
 <td style="text-align: left;">✅</td>
 </tr>
 <tr class="odd">
-<td style="text-align: left;"><code>ggpiestats()</code>, <code>ggbarstats()</code></td>
+<td style="text-align: left;">
+<code>ggpiestats()</code>, <code>ggbarstats()</code>
+</td>
 <td style="text-align: left;">Equal proportions for categorical variable levels</td>
 <td style="text-align: left;">✅</td>
 <td style="text-align: left;"><code>NA</code></td>
@@ -1373,13 +1305,9 @@ <h2>Supports different statistical approaches</h2>
 </div>
 </div>
 </div>
-</section>
-<section id="best-practices-in-statistical-reporting" class="slide level2 smaller">
-<h2>Best practices in statistical reporting 🏆</h2>
+</section><section id="best-practices-in-statistical-reporting" class="slide level2 smaller"><h2>Best practices in statistical reporting 🏆</h2>
 
-<img data-src="media/stats_reporting_format.png" class="r-stretch"></section>
-<section id="avoiding-reporting-errors" class="slide level2 smaller">
-<h2>Avoiding reporting errors</h2>
+<img data-src="media/stats_reporting_format.png" class="r-stretch"></section><section id="avoiding-reporting-errors" class="slide level2 smaller"><h2>Avoiding reporting errors</h2>
 <div class="fragment">
 <p>“half of all published psychology papers that use NHST contained at least one <em>p</em>-value that was inconsistent with its test statistic and degrees of freedom. One in eight papers contained a grossly inconsistent <em>p</em>-value that may have affected the statistical conclusion”</p>
 <p><a href="https://link.springer.com/article/10.3758/s13428-015-0664-2">(Nuijten et al., <em>Behavior Research Methods</em>, 2016)</a></p>
@@ -1390,9 +1318,7 @@ <h2>Avoiding reporting errors</h2>
 <div class="fragment">
 <p>No need to worry about updating figures and statistical details <strong>separately</strong>. 🔗</p>
 </div>
-</section>
-<section id="making-sense-of-null-results" class="slide level2 smaller">
-<h2>Making sense of null results</h2>
+</section><section id="making-sense-of-null-results" class="slide level2 smaller"><h2>Making sense of null results</h2>
 <div class="fragment">
 <p><span class="math inline">\(p &gt; 0.05\)</span>: The null hypothesis (<code>H0</code>) can’t be rejected</p>
 <p>But can it be <strong>accepted</strong>?! Null Hypothesis Significance Testing 🤫</p>
@@ -1406,9 +1332,7 @@ <h2>Making sense of null results</h2>
 <div class="fragment">
 <p>Juxtaposing frequentist and Bayesian statistics for the same analysis helps to properly interpret the null results.</p>
 </div>
-</section>
-<section id="a-few-other-benefits" class="slide level2 smaller">
-<h2>A few other benefits</h2>
+</section><section id="a-few-other-benefits" class="slide level2 smaller"><h2>A few other benefits</h2>
 <div class="fragment">
 <p>Minimal code needed (<code>data</code>, <code>x</code>, <code>y</code>): minimizes chances of error + tidy scripts. 💅</p>
 </div>
@@ -1418,47 +1342,29 @@ <h2>A few other benefits</h2>
 <div class="fragment">
 <p>More breathing room for theoretical discussion and other text. ✍</p>
 </div>
-</section>
-<section id="misconceptions-this-package-is" class="slide level2 smaller">
-<h2>Misconceptions: This package is…</h2>
+</section><section id="misconceptions-this-package-is" class="slide level2 smaller"><h2>Misconceptions: This package is…</h2>
 <div class="fragment">
-<p><br> ❌ an alternative to learning <code>ggplot2</code> <br> ✅ the more you know <code>ggplot2</code>, the better you can modify the defaults to your liking) <br> <br></p>
+<p><br> ❌ an alternative to learning <code>ggplot2</code> <br> ✅ the more you know <code>ggplot2</code>, the better you can modify the defaults to your liking) <br><br></p>
 </div>
 <div class="fragment">
-<p>❌ meant to be used in talks/presentations <br> ✅ defaults too complicated for effectively communicating results in time-constrained presentation settings, e.g.&nbsp;conference talks) <br> <br></p>
+<p>❌ meant to be used in talks/presentations <br> ✅ defaults too complicated for effectively communicating results in time-constrained presentation settings, e.g.&nbsp;conference talks) <br><br></p>
 </div>
 <div class="fragment">
-<p>❌ only relevant when used in publications <br> ✅ not necessary; can also be useful <em>only</em> during exploratory phase <br> <br></p>
+<p>❌ only relevant when used in publications <br> ✅ not necessary; can also be useful <em>only</em> during exploratory phase <br><br></p>
 </div>
 <div class="fragment">
 <p>❌ the only game in town <br> ✅ excellent GUI open-source software: <a href="https://jasp-stats.org/">JASP</a> and <a href="https://www.jamovi.org/">jamovi</a>)</p>
 
 </div>
 </section></section>
-    </div>
+</div>
   <div class="quarto-auto-generated-content" style="display: none;">
 <div class="footer footer-default">
 
 </div>
 </div></div>
 
-  <script>window.backupDefine = window.define; window.define = undefined;</script>
-  <script src="index_files/libs/revealjs/dist/reveal.js"></script>
-  <!-- reveal.js plugins -->
-  <script src="index_files/libs/revealjs/plugin/quarto-line-highlight/line-highlight.js"></script>
-  <script src="index_files/libs/revealjs/plugin/pdf-export/pdfexport.js"></script>
-  <script src="index_files/libs/revealjs/plugin/reveal-menu/menu.js"></script>
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-  <script src="index_files/libs/revealjs/plugin/notes/notes.js"></script>
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-  <script src="index_files/libs/revealjs/plugin/math/math.js"></script>
-  <script>window.define = window.backupDefine; window.backupDefine = undefined;</script>
-
-  <script>
+  <script>window.backupDefine = window.define; window.define = undefined;</script><script src="index_files/libs/revealjs/dist/reveal.js"></script><!-- reveal.js plugins --><script src="index_files/libs/revealjs/plugin/quarto-line-highlight/line-highlight.js"></script><script src="index_files/libs/revealjs/plugin/pdf-export/pdfexport.js"></script><script src="index_files/libs/revealjs/plugin/reveal-menu/menu.js"></script><script src="index_files/libs/revealjs/plugin/reveal-menu/quarto-menu.js"></script><script src="index_files/libs/revealjs/plugin/quarto-support/support.js"></script><script src="index_files/libs/revealjs/plugin/notes/notes.js"></script><script src="index_files/libs/revealjs/plugin/search/search.js"></script><script src="index_files/libs/revealjs/plugin/zoom/zoom.js"></script><script src="index_files/libs/revealjs/plugin/math/math.js"></script><script>window.define = window.backupDefine; window.backupDefine = undefined;</script><script>
 
       // Full list of configuration options available at:
       // https://revealjs.com/config/
@@ -1649,9 +1555,7 @@ <h2>Misconceptions: This package is…</h2>
           RevealZoom
         ]
       });
-    </script>
-    
-    <script>
+    </script><script>
       // htmlwidgets need to know to resize themselves when slides are shown/hidden.
       // Fire the "slideenter" event (handled by htmlwidgets.js) when the current
       // slide changes (different for each slide format).
@@ -1686,9 +1590,7 @@ <h2>Misconceptions: This package is…</h2>
         }
 
       })();
-    </script>
-
-    <script id="quarto-html-after-body" type="application/javascript">
+    </script><script id="quarto-html-after-body" type="application/javascript">
     window.document.addEventListener("DOMContentLoaded", function (event) {
       const toggleBodyColorMode = (bsSheetEl) => {
         const mode = bsSheetEl.getAttribute("data-mode");
@@ -1875,6 +1777,6 @@ <h2>Misconceptions: This package is…</h2>
       }
     });
     </script>
-    
+
 
 </body></html>
\ No newline at end of file
diff --git a/index.qmd b/index.qmd
index e8d0bf2..956620e 100644
--- a/index.qmd
+++ b/index.qmd
@@ -34,21 +34,8 @@ Indrajeet Patil
 ![](media/logo.png){.relative fig-align="center" width="350" height="350"}
 :::
 
-## Plan {.smaller}
 
--   Why `ggstatsplot`?
-
--   Primary functions
-
--   Customizability
-
--   Benefits
-
--   Misconceptions
-
--   Limitations
-
-## Raison d'être {.smaller}
+## Why `{ggstatsplot}`? {.smaller}
 
 ::::: columns
 ::: {.column width="50%"}
@@ -59,7 +46,7 @@ Current CRAN package count **\>23,000**
 
 ::: {.column width="50%"}
 <br> <br> <br> `{ggstatsplot}` provides <br> <br> 📊 information-rich plots with statistical details <br> <br> 📝
-suitable for faster (exploratory) data analysis and scholarly reports <br>
+suitable for faster (exploratory) data analysis and reporting <br>
 :::
 :::::
 
@@ -91,6 +78,13 @@ and can help you make *any* graphics fitting your specific data visualization ne
 :::
 :::::
 
+. . .
+
+:::{.callout-tip collapse=false appearance='default' icon=true}
+## Quality of Life (QoL) improvements with `{ggstatsplot}`
+Provide ready-made plots with defaults following the best practices in statistical reporting and data visualization. 
+:::
+
 ## Simpler/faster data analysis workflow {.smaller}
 
 ![](media/ds_workflow.png)
@@ -194,7 +188,7 @@ ggbetweenstats(
 ![](media/collage.jpeg)
 
 
-# Why use `{ggstatsplot}`? 👍️
+# Benefits for Statistical Reporting
 
 ## Results *in context* of the data 🕵️ {.smaller}
 
@@ -480,14 +474,14 @@ Easy-to-use software can lead to misuse.
 ::: {.column width='50%'}
 
 - Too many arguments to remember.
-- Not a "real" ggplot2 extension.
+- Not a "real" `{ggplot2}` extension.
 
 :::
 
 ::: {.column width='50%'}
 
 - Limited number of functions.
-- Expects non-trivial statistical proficiency.
+- Non-trivial statistical proficiency needed.
 
 :::
 
@@ -503,8 +497,6 @@ Easy-to-use software can lead to misuse.
 
 Each commit must pass many QA checks:
 
-![](media/pr-qa.png)
-
 :::{.callout-note collapse=false appearance='default' icon=true}
 
 ## CI Checks (GitHub Actions)
@@ -521,16 +513,22 @@ Each commit must pass many QA checks:
 
 :::
 
+![](media/pr-qa.png)
+
 :::
 
 ::: {.column width='50%'}
 
-Healthy code base:
+:::{.callout-tip collapse=false appearance='default' icon=true}
 
-[![](media/refactoring.png)](https://indrajeetpatil.github.io/refactoring-ggstatsplot/refactoring-ggstatsplot#1)
+## Healthy and active code base
 
 ![](media/ggstats-contributions.png)
 
+[![](media/refactoring.png)](https://indrajeetpatil.github.io/refactoring-ggstatsplot/refactoring-ggstatsplot#1)
+
+:::
+
 :::
 
 ::::
@@ -579,12 +577,13 @@ plot(
 
 ## Exploring data made easy! 😉 {.smaller}
 
+ <br> <br> 
 In summary, the `ggstatsplot` approach- <br> <br> 
 (*a*) avoids errors in statistical reporting, <br> <br> 
 (*b*) highlights the importance of the effect by providing effect size measures by default, <br> <br> 
 (*c*) provides an easy way to evaluate *absence* of an effect using Bayesian framework, <br> <br> 
-(*d*) demands to evaluate statistical analysis in the context of the underlying data, <br> <br> 
-and is (*e*) easy and (*f*) simple enough that somebody with little coding experience can use it without making an error.
+(*d*) demands to evaluate statistical analysis in the context of the underlying data,  and is <br> <br> 
+(*e*) easy and (*f*) simple enough that somebody with little coding experience can use it without making an error.
 
 # For more
 
@@ -948,7 +947,7 @@ Meta-analysis is also supported!
 ::::
 
 
-# *grouped\_* variants of all functions
+# *grouped\_* variants
 
 Iterating over a grouping variable
 
@@ -968,7 +967,9 @@ grouped_ggpiestats(
 
 ::: {.column width='40%'}
 
-Available `grouped_` variants:
+:::{.callout-tip collapse=false appearance='default' icon=true}
+
+## Available `grouped_` variants:
 
 - `grouped_ggbetweenstats()` 
 - `grouped_ggwithinstats()` 
@@ -981,6 +982,8 @@ Available `grouped_` variants:
 
 :::
 
+:::
+
 ::::
 
 
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