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diff --git a/exercises/ex-01.html b/exercises/ex-01.html
index e275ce75..62cc09bc 100644
--- a/exercises/ex-01.html
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@@ -5,7 +5,7 @@
 <meta name="generator" content="quarto-1.3.450">
 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 <meta name="author" content="Jay Hesselberth">
-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - R Bootcamp - Day 1</title>
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@@ -223,7 +223,7 @@ <h1 class="title">R Bootcamp - Day 1</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
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-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
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diff --git a/exercises/ex-02.html b/exercises/ex-02.html
index 3d2663ab..7634c599 100644
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@@ -5,7 +5,7 @@
 <meta name="generator" content="quarto-1.3.450">
 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 <meta name="author" content="Jay Hesselberth">
-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
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@@ -234,7 +234,7 @@ <h1 class="title">R Bootcamp - Day 2 - Exercises</h1>
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     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
     </div>
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diff --git a/exercises/ex-03.html b/exercises/ex-03.html
index 59f42992..ab59c3da 100644
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@@ -5,7 +5,7 @@
 <meta name="generator" content="quarto-1.3.450">
 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 <meta name="author" content="Jay Hesselberth">
-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
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@@ -258,7 +258,7 @@ <h1 class="title">R Bootcamp - Day 3 - Exercises</h1>
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-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
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diff --git a/exercises/ex-04.html b/exercises/ex-04.html
index aa0efc3f..3ea49c55 100644
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@@ -5,7 +5,7 @@
 <meta name="generator" content="quarto-1.3.450">
 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 <meta name="author" content="Jay Hesselberth">
-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
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@@ -222,7 +222,7 @@ <h1 class="title">R Bootcamp - Day 4</h1>
     <div>
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-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
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diff --git a/exercises/ex-05.html b/exercises/ex-05.html
index f0cb5f9b..8f95d7d7 100644
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+++ b/exercises/ex-05.html
@@ -5,7 +5,7 @@
 <meta name="generator" content="quarto-1.3.450">
 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 <meta name="author" content="Jay Hesselberth">
-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
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@@ -228,7 +228,7 @@ <h1 class="title">R Bootcamp - Day 5</h1>
     <div>
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     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
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diff --git a/exercises/ex-07.html b/exercises/ex-07.html
index 9631b923..24d78263 100644
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@@ -5,7 +5,7 @@
 <meta name="generator" content="quarto-1.3.450">
 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 <meta name="author" content="Jay Hesselberth">
-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
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@@ -253,7 +253,7 @@ <h1 class="title">R Bootcamp - Day 7</h1>
     <div>
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     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
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diff --git a/exercises/ex-08.html b/exercises/ex-08.html
index 08cf28d0..c12f3c50 100644
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@@ -5,7 +5,7 @@
 <meta name="generator" content="quarto-1.3.450">
 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 <meta name="author" content="Jay Hesselberth">
-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - Exercises 8</title>
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@@ -265,7 +265,7 @@ <h1 class="title">Exercises 8</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
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diff --git a/exercises/ex-09.html b/exercises/ex-09.html
index a7ad2d8a..d1a973ed 100644
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@@ -5,7 +5,7 @@
 <meta name="generator" content="quarto-1.3.450">
 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 <meta name="author" content="Jay Hesselberth">
-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - Exercises 9</title>
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@@ -257,7 +257,7 @@ <h1 class="title">Exercises 9</h1>
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     <div class="quarto-title-meta-heading">Published</div>
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-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
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diff --git a/exercises/ex-10.html b/exercises/ex-10.html
index 52c007d9..6334e497 100644
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@@ -5,7 +5,7 @@
 <meta name="generator" content="quarto-1.3.450">
 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 <meta name="author" content="Neelanjan Mukherjee">
-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - Stats Bootcamp - class 10</title>
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@@ -252,7 +252,7 @@ <h1 class="title">Stats Bootcamp - class 10</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
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diff --git a/exercises/ex-11.html b/exercises/ex-11.html
index 79afa86d..2db30872 100644
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@@ -5,7 +5,7 @@
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 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
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-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
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@@ -290,7 +290,7 @@ <h1 class="title">Stats Bootcamp - class 11</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
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-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
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diff --git a/exercises/ex-12.html b/exercises/ex-12.html
index 49e911c0..9c2edcec 100644
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@@ -5,7 +5,7 @@
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 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
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-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
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@@ -274,7 +274,7 @@ <h1 class="title">Stats Bootcamp - class 12</h1>
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     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
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diff --git a/exercises/ex-13.html b/exercises/ex-13.html
index 373efd07..245c1347 100644
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@@ -5,7 +5,7 @@
 <meta name="generator" content="quarto-1.3.450">
 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
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-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
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@@ -283,7 +283,7 @@ <h1 class="title">Stats Bootcamp - class 13</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
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diff --git a/exercises/ex-14.html b/exercises/ex-14.html
index 17198eeb..591e1ccd 100644
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@@ -5,7 +5,7 @@
 <meta name="generator" content="quarto-1.3.450">
 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 <meta name="author" content="Neelanjan Mukherjee">
-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
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@@ -279,7 +279,7 @@ <h1 class="title">Stats Bootcamp - class 14</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
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diff --git a/exercises/ex-15.html b/exercises/ex-15.html
index 5d75edef..2a7ca4d4 100644
--- a/exercises/ex-15.html
+++ b/exercises/ex-15.html
@@ -5,7 +5,7 @@
 <meta name="generator" content="quarto-1.3.450">
 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 <meta name="author" content="Neelanjan Mukherjee">
-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
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@@ -291,7 +291,7 @@ <h1 class="title">Stats Bootcamp - class 15</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
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diff --git a/exercises/ex-16.html b/exercises/ex-16.html
index e1004f7a..a82b845d 100644
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@@ -5,7 +5,7 @@
 <meta name="generator" content="quarto-1.3.450">
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 <meta name="author" content="Your Name Here">
-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - Mapping chromatin structure and transactions</title>
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@@ -252,7 +252,7 @@ <h1 class="title">Mapping chromatin structure and transactions</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
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diff --git a/exercises/ex-17.html b/exercises/ex-17.html
index 9e3ac180..f257654f 100644
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+++ b/exercises/ex-17.html
@@ -5,7 +5,7 @@
 <meta name="generator" content="quarto-1.3.450">
 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 <meta name="author" content="Jay Hesselberth">
-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - Chromatin accessibility I</title>
 <style>
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@@ -281,7 +281,7 @@ <h1 class="title">Chromatin accessibility I</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
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diff --git a/exercises/ex-18.html b/exercises/ex-18.html
index 71ec3d42..343f89e4 100644
--- a/exercises/ex-18.html
+++ b/exercises/ex-18.html
@@ -5,7 +5,7 @@
 <meta name="generator" content="quarto-1.3.450">
 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 <meta name="author" content="Jay Hesselberth">
-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - Chromatin accessibility II</title>
 <style>
 code{white-space: pre-wrap;}
@@ -271,7 +271,7 @@ <h1 class="title">Chromatin accessibility II</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
     </div>
   </div>
   
@@ -283,7 +283,7 @@ <h1 class="title">Chromatin accessibility II</h1>
 <p>Last class we saw what the different methods to profile chromatin accessibility can tell us about general chromatin structure and possible regulation at specific regions in a small portion of a chromosome.</p>
 <p>We also want to make sure these conclusions are valid throughout the genome, and today we’ll discuss two approaches for this: metaplots and heatmaps.</p>
 </section><section id="metaplots" class="level1"><h1>Metaplots</h1>
-<p>We will examine aggregated profiles (metaplots) of genomewisde data (e.g., MNase-seq) relative to recurrent features in a genome, like transcription start sites.</p>
+<p>We will examine aggregated profiles (metaplots) of genomewide data (e.g., MNase-seq) relative to recurrent features in a genome, like transcription start sites.</p>
 <section id="load-libraries" class="level3"><h3 class="anchored" data-anchor-id="load-libraries">Load libraries</h3>
 <div class="cell">
 <div class="sourceCode" id="cb1"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="va"><a href="https://tidyverse.tidyverse.org">tidyverse</a></span><span class="op">)</span></span>
@@ -293,12 +293,8 @@ <h1 class="title">Chromatin accessibility II</h1>
 <span><span class="co"># `glue` is a handy library for plot annotations</span></span>
 <span><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/tidyverse/glue">glue</a></span><span class="op">)</span></span>
 <span></span>
-<span><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/rnabioco/valr/">valr</a></span><span class="op">)</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-stderr">
-<pre><code>Warning: replacing previous import 'S4Arrays::makeNindexFromArrayViewport' by
-'DelayedArray::makeNindexFromArrayViewport' when loading 'SummarizedExperiment'</code></pre>
-</div>
-<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/jokergoo/ComplexHeatmap">ComplexHeatmap</a></span><span class="op">)</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<span><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/rnabioco/valr/">valr</a></span><span class="op">)</span></span>
+<span><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/jokergoo/ComplexHeatmap">ComplexHeatmap</a></span><span class="op">)</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
 </section><section id="load-data" class="level3"><h3 class="anchored" data-anchor-id="load-data">Load data</h3>
 <p>We will examine aggreprofiles of all our data sets relative to the transcription start site (TSS), where all the action seems to be happening:</p>
@@ -310,7 +306,7 @@ <h1 class="title">Chromatin accessibility II</h1>
 <code>sacCer3.chrom.sizes</code> contains the sizes of all yeast chromosomes, needed for some of the calculations we’ll do. We’ll grab this from the UCSC download site.</li>
 </ul>
 <div class="cell">
-<div class="sourceCode" id="cb4"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="va">yeast_tss</span> <span class="op">&lt;-</span> <span class="va">read_</span><span class="op">?</span><span class="op">?</span><span class="op">?</span><span class="op">(</span></span>
+<div class="sourceCode" id="cb2"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="va">yeast_tss</span> <span class="op">&lt;-</span> <span class="va">read_</span><span class="op">?</span><span class="op">?</span><span class="op">?</span><span class="op">(</span></span>
 <span>  <span class="fu"><a href="https://here.r-lib.org//reference/here.html">here</a></span><span class="op">(</span><span class="st">"data/block-dna/yeast_tss_chrII.bed.gz"</span><span class="op">)</span></span>
 <span><span class="op">)</span></span>
 <span></span>
@@ -320,26 +316,26 @@ <h1 class="title">Chromatin accessibility II</h1>
 <p>Next we’ll load bigWigs for the ATAC and MNase experiments, containing either short or long fragments.</p>
 <p>Recall that the information encoded in short and long fragments should be reflected in our interpretations.</p>
 <div class="cell">
-<div class="sourceCode cell-code" id="cb5"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a>acc_tbl <span class="ot">&lt;-</span></span>
-<span id="cb5-2"><a href="#cb5-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">tibble</span>(</span>
-<span id="cb5-3"><a href="#cb5-3" aria-hidden="true" tabindex="-1"></a>    <span class="at">file_name =</span> <span class="fu">c</span>(</span>
-<span id="cb5-4"><a href="#cb5-4" aria-hidden="true" tabindex="-1"></a>      <span class="st">"yeast_mnase_lt50.bw"</span>,</span>
-<span id="cb5-5"><a href="#cb5-5" aria-hidden="true" tabindex="-1"></a>      <span class="st">"yeast_mnase_134_160.bw"</span>,</span>
-<span id="cb5-6"><a href="#cb5-6" aria-hidden="true" tabindex="-1"></a>      <span class="st">"yeast_atac_lt120.bw"</span>,</span>
-<span id="cb5-7"><a href="#cb5-7" aria-hidden="true" tabindex="-1"></a>      <span class="st">"yeast_atac_gt120.bw"</span></span>
-<span id="cb5-8"><a href="#cb5-8" aria-hidden="true" tabindex="-1"></a>    ),</span>
-<span id="cb5-9"><a href="#cb5-9" aria-hidden="true" tabindex="-1"></a>    <span class="at">sample_type =</span> <span class="fu">c</span>(</span>
-<span id="cb5-10"><a href="#cb5-10" aria-hidden="true" tabindex="-1"></a>      <span class="st">"MNase_Short"</span>, <span class="st">"MNase_Long"</span>,</span>
-<span id="cb5-11"><a href="#cb5-11" aria-hidden="true" tabindex="-1"></a>      <span class="st">"ATAC_Short"</span>, <span class="st">"ATAC_Long"</span></span>
-<span id="cb5-12"><a href="#cb5-12" aria-hidden="true" tabindex="-1"></a>    )</span>
-<span id="cb5-13"><a href="#cb5-13" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span></span>
-<span id="cb5-14"><a href="#cb5-14" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(</span>
-<span id="cb5-15"><a href="#cb5-15" aria-hidden="true" tabindex="-1"></a>    <span class="at">file_path =</span> <span class="fu">here</span>(<span class="st">"data/block-dna"</span>, file_name),</span>
-<span id="cb5-16"><a href="#cb5-16" aria-hidden="true" tabindex="-1"></a>    <span class="at">big_wig =</span> purrr<span class="sc">::</span><span class="fu">___</span>(</span>
-<span id="cb5-17"><a href="#cb5-17" aria-hidden="true" tabindex="-1"></a>      file_path, <span class="sc">~</span> <span class="fu">read_bigwig</span>(.x)</span>
-<span id="cb5-18"><a href="#cb5-18" aria-hidden="true" tabindex="-1"></a>    )</span>
-<span id="cb5-19"><a href="#cb5-19" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span></span>
-<span id="cb5-20"><a href="#cb5-20" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(sample_type, big_wig)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<div class="sourceCode cell-code" id="cb3"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a>acc_tbl <span class="ot">&lt;-</span></span>
+<span id="cb3-2"><a href="#cb3-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">tibble</span>(</span>
+<span id="cb3-3"><a href="#cb3-3" aria-hidden="true" tabindex="-1"></a>    <span class="at">file_name =</span> <span class="fu">c</span>(</span>
+<span id="cb3-4"><a href="#cb3-4" aria-hidden="true" tabindex="-1"></a>      <span class="st">"yeast_mnase_lt50.bw"</span>,</span>
+<span id="cb3-5"><a href="#cb3-5" aria-hidden="true" tabindex="-1"></a>      <span class="st">"yeast_mnase_134_160.bw"</span>,</span>
+<span id="cb3-6"><a href="#cb3-6" aria-hidden="true" tabindex="-1"></a>      <span class="st">"yeast_atac_lt120.bw"</span>,</span>
+<span id="cb3-7"><a href="#cb3-7" aria-hidden="true" tabindex="-1"></a>      <span class="st">"yeast_atac_gt120.bw"</span></span>
+<span id="cb3-8"><a href="#cb3-8" aria-hidden="true" tabindex="-1"></a>    ),</span>
+<span id="cb3-9"><a href="#cb3-9" aria-hidden="true" tabindex="-1"></a>    <span class="at">sample_type =</span> <span class="fu">c</span>(</span>
+<span id="cb3-10"><a href="#cb3-10" aria-hidden="true" tabindex="-1"></a>      <span class="st">"MNase_Short"</span>, <span class="st">"MNase_Long"</span>,</span>
+<span id="cb3-11"><a href="#cb3-11" aria-hidden="true" tabindex="-1"></a>      <span class="st">"ATAC_Short"</span>, <span class="st">"ATAC_Long"</span></span>
+<span id="cb3-12"><a href="#cb3-12" aria-hidden="true" tabindex="-1"></a>    )</span>
+<span id="cb3-13"><a href="#cb3-13" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span></span>
+<span id="cb3-14"><a href="#cb3-14" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(</span>
+<span id="cb3-15"><a href="#cb3-15" aria-hidden="true" tabindex="-1"></a>    <span class="at">file_path =</span> <span class="fu">here</span>(<span class="st">"data/block-dna"</span>, file_name),</span>
+<span id="cb3-16"><a href="#cb3-16" aria-hidden="true" tabindex="-1"></a>    <span class="at">big_wig =</span> purrr<span class="sc">::</span><span class="fu">___</span>(</span>
+<span id="cb3-17"><a href="#cb3-17" aria-hidden="true" tabindex="-1"></a>      file_path, <span class="sc">~</span> <span class="fu">read_bigwig</span>(.x)</span>
+<span id="cb3-18"><a href="#cb3-18" aria-hidden="true" tabindex="-1"></a>    )</span>
+<span id="cb3-19"><a href="#cb3-19" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span></span>
+<span id="cb3-20"><a href="#cb3-20" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(sample_type, big_wig)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
 </section><section id="setting-up-regions-for-a-meta-plot" class="level2"><h2 class="anchored" data-anchor-id="setting-up-regions-for-a-meta-plot">Setting up regions for a meta-plot</h2>
 <p>We need to set up some windows for analyzing signal relative to each TSS. This is an important step that will ultimately impact our interpretations.</p>
@@ -363,26 +359,26 @@ <h1 class="title">Chromatin accessibility II</h1>
 </div>
 </section><section id="chromatin-accessibility-around-transcription-start-sites-tsss" class="level2"><h2 class="anchored" data-anchor-id="chromatin-accessibility-around-transcription-start-sites-tsss">Chromatin accessibility around transcription start sites (TSSs)</h2>
 <div class="cell">
-<div class="sourceCode cell-code" id="cb6"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1" aria-hidden="true" tabindex="-1"></a>region_size_total <span class="ot">&lt;-</span> <span class="dv">1500</span></span>
-<span id="cb6-2"><a href="#cb6-2" aria-hidden="true" tabindex="-1"></a>region_size_half <span class="ot">&lt;-</span> region_size_total <span class="sc">/</span> <span class="dv">2</span></span>
-<span id="cb6-3"><a href="#cb6-3" aria-hidden="true" tabindex="-1"></a>win_size <span class="ot">&lt;-</span> <span class="dv">10</span></span>
-<span id="cb6-4"><a href="#cb6-4" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb6-5"><a href="#cb6-5" aria-hidden="true" tabindex="-1"></a><span class="co"># need a function that generates a sequence of numbers</span></span>
-<span id="cb6-6"><a href="#cb6-6" aria-hidden="true" tabindex="-1"></a>win_coords <span class="ot">&lt;-</span> <span class="fu">___</span>(</span>
-<span id="cb6-7"><a href="#cb6-7" aria-hidden="true" tabindex="-1"></a>  <span class="sc">-</span>region_size_half,</span>
-<span id="cb6-8"><a href="#cb6-8" aria-hidden="true" tabindex="-1"></a>  region_size_half,</span>
-<span id="cb6-9"><a href="#cb6-9" aria-hidden="true" tabindex="-1"></a>  win_size</span>
-<span id="cb6-10"><a href="#cb6-10" aria-hidden="true" tabindex="-1"></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<div class="sourceCode cell-code" id="cb4"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a>region_size_total <span class="ot">&lt;-</span> <span class="dv">1500</span></span>
+<span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a>region_size_half <span class="ot">&lt;-</span> region_size_total <span class="sc">/</span> <span class="dv">2</span></span>
+<span id="cb4-3"><a href="#cb4-3" aria-hidden="true" tabindex="-1"></a>win_size <span class="ot">&lt;-</span> <span class="dv">10</span></span>
+<span id="cb4-4"><a href="#cb4-4" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb4-5"><a href="#cb4-5" aria-hidden="true" tabindex="-1"></a><span class="co"># need a function that generates a sequence of numbers</span></span>
+<span id="cb4-6"><a href="#cb4-6" aria-hidden="true" tabindex="-1"></a>win_coords <span class="ot">&lt;-</span> <span class="fu">___</span>(</span>
+<span id="cb4-7"><a href="#cb4-7" aria-hidden="true" tabindex="-1"></a>  <span class="sc">-</span>region_size_half,</span>
+<span id="cb4-8"><a href="#cb4-8" aria-hidden="true" tabindex="-1"></a>  region_size_half,</span>
+<span id="cb4-9"><a href="#cb4-9" aria-hidden="true" tabindex="-1"></a>  win_size</span>
+<span id="cb4-10"><a href="#cb4-10" aria-hidden="true" tabindex="-1"></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
 <p>Next, we’ll use two valr functions to expand the window of the reference point (<code><a href="https://rnabioco.github.io/valr/reference/bed_slop.html">bed_slop()</a></code>) and then break those windows into evenly spaced intervals (<code><a href="https://rnabioco.github.io/valr/reference/bed_makewindows.html">bed_makewindows()</a></code>).</p>
 <div class="cell">
-<div class="sourceCode cell-code" id="cb7"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb7-1"><a href="#cb7-1" aria-hidden="true" tabindex="-1"></a>yeast_tss <span class="sc">|&gt;</span></span>
-<span id="cb7-2"><a href="#cb7-2" aria-hidden="true" tabindex="-1"></a>  bed_???(genome, <span class="at">both =</span> region_size_half) <span class="sc">|&gt;</span></span>
-<span id="cb7-3"><a href="#cb7-3" aria-hidden="true" tabindex="-1"></a>  bed_???(<span class="at">win_size =</span> win_size)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<div class="sourceCode cell-code" id="cb5"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a>yeast_tss <span class="sc">|&gt;</span></span>
+<span id="cb5-2"><a href="#cb5-2" aria-hidden="true" tabindex="-1"></a>  bed_???(genome, <span class="at">both =</span> region_size_half) <span class="sc">|&gt;</span></span>
+<span id="cb5-3"><a href="#cb5-3" aria-hidden="true" tabindex="-1"></a>  bed_???(<span class="at">win_size =</span> win_size)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
 <p>At this point, we also address the fact that the TSS data are stranded. Can someone describe what the issue is here, based on the figure above?</p>
 <div class="cell">
-<div class="sourceCode" id="cb8"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="va">tss_win_tbl</span> <span class="op">&lt;-</span></span>
+<div class="sourceCode" id="cb6"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="va">tss_win_tbl</span> <span class="op">&lt;-</span></span>
 <span>  <span class="va">yeast_tss</span> <span class="op">|&gt;</span></span>
 <span>  <span class="fu"><a href="https://rnabioco.github.io/valr/reference/bed_slop.html">bed_slop</a></span><span class="op">(</span><span class="va">genome</span>, both <span class="op">=</span> <span class="va">region_size_half</span><span class="op">)</span> <span class="op">|&gt;</span></span>
 <span>  <span class="fu"><a href="https://rnabioco.github.io/valr/reference/bed_makewindows.html">bed_makewindows</a></span><span class="op">(</span>win_size <span class="op">=</span> <span class="va">win_size</span><span class="op">)</span> <span class="op">|&gt;</span></span>
@@ -397,7 +393,7 @@ <h1 class="title">Chromatin accessibility II</h1>
 </div>
 <p>This next step uses valr <code><a href="https://rnabioco.github.io/valr/reference/bed_map.html">bed_map()</a></code>, to calculate the total signal for each window by intersecting signals from the bigWig files.</p>
 <div class="cell">
-<div class="sourceCode" id="cb9"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="va">acc_tbl</span> <span class="op">&lt;-</span></span>
+<div class="sourceCode" id="cb7"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="va">acc_tbl</span> <span class="op">&lt;-</span></span>
 <span>  <span class="va">acc_tbl</span> <span class="op">|&gt;</span></span>
 <span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html">mutate</a></span><span class="op">(</span></span>
 <span>    tss_win_sum <span class="op">=</span> <span class="fu">purrr</span><span class="fu">::</span><span class="fu"><a href="https://purrr.tidyverse.org/reference/map.html">map</a></span><span class="op">(</span></span>
@@ -413,7 +409,7 @@ <h1 class="title">Chromatin accessibility II</h1>
 <p>Once we have the values from <code><a href="https://rnabioco.github.io/valr/reference/bed_map.html">bed_map()</a></code>, we can group by <code>win_coord</code> and calculate a summary statistic for each window.</p>
 <p>Remember that <code>win_coord</code> is the same relative position for each TSS, so these numbers represent a composite signal a the same position across all TSS.</p>
 <div class="cell">
-<div class="sourceCode" id="cb10"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="va">tss_meta_tbl</span> <span class="op">&lt;-</span></span>
+<div class="sourceCode" id="cb8"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="va">tss_meta_tbl</span> <span class="op">&lt;-</span></span>
 <span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html">select</a></span><span class="op">(</span><span class="va">acc_tbl</span>, <span class="va">sample_type</span>, <span class="va">tss_win_sum</span><span class="op">)</span> <span class="op">|&gt;</span></span>
 <span>  <span class="fu"><a href="https://tidyr.tidyverse.org/reference/unnest.html">unnest</a></span><span class="op">(</span>cols <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="va">tss_win_sum</span><span class="op">)</span><span class="op">)</span> <span class="op">|&gt;</span></span>
 <span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/summarise.html">summarize</a></span><span class="op">(</span></span>
@@ -426,7 +422,7 @@ <h1 class="title">Chromatin accessibility II</h1>
 </section><section id="meta-plot-of-signals-around-tsss" class="level2"><h2 class="anchored" data-anchor-id="meta-plot-of-signals-around-tsss">Meta-plot of signals around TSSs</h2>
 <p>Finally, let’s plot the data relative to TSS for each of the windows.</p>
 <div class="cell">
-<div class="sourceCode" id="cb11"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="va">n_tss</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/length.html">length</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/unique.html">unique</a></span><span class="op">(</span><span class="va">yeast_tss</span><span class="op">$</span><span class="va">name</span><span class="op">)</span><span class="op">)</span></span>
+<div class="sourceCode" id="cb9"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="va">n_tss</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/length.html">length</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/unique.html">unique</a></span><span class="op">(</span><span class="va">yeast_tss</span><span class="op">$</span><span class="va">name</span><span class="op">)</span><span class="op">)</span></span>
 <span></span>
 <span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html">ggplot</a></span><span class="op">(</span></span>
 <span>  <span class="va">tss_meta_tbl</span>,</span>
@@ -472,12 +468,12 @@ <h1 class="title">Chromatin accessibility II</h1>
 </ul>
 <p>We’re going to plot a heatmap of the “MNase_Long” data. There are two ways to get these data.</p>
 <div class="cell">
-<div class="sourceCode" id="cb12"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="va">mnase_tbl</span> <span class="op">&lt;-</span> <span class="va">acc_tbl</span><span class="op">[</span><span class="va">acc_tbl</span><span class="op">$</span><span class="va">sample_type</span> <span class="op">==</span> <span class="st">"MNase_Short"</span>, <span class="op">]</span><span class="op">$</span><span class="va">tss_win_sum</span><span class="op">[[</span><span class="fl">1</span><span class="op">]</span><span class="op">]</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<div class="sourceCode" id="cb10"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="va">mnase_tbl</span> <span class="op">&lt;-</span> <span class="va">acc_tbl</span><span class="op">[</span><span class="va">acc_tbl</span><span class="op">$</span><span class="va">sample_type</span> <span class="op">==</span> <span class="st">"MNase_Short"</span>, <span class="op">]</span><span class="op">$</span><span class="va">tss_win_sum</span><span class="op">[[</span><span class="fl">1</span><span class="op">]</span><span class="op">]</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
 <p>Or, using dplyr / tidyr:</p>
 <div class="cell">
-<div class="sourceCode" id="cb13"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="va">mnase_tbl</span> <span class="op">&lt;-</span></span>
-<span>  <span class="fu"><a href="https://rdrr.io/r/stats/filter.html">filter</a></span><span class="op">(</span></span>
+<div class="sourceCode" id="cb11"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="va">mnase_tbl</span> <span class="op">&lt;-</span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html">filter</a></span><span class="op">(</span></span>
 <span>    <span class="va">acc_tbl</span>,</span>
 <span>    <span class="va">sample_type</span> <span class="op">==</span> <span class="st">"MNase_Long"</span></span>
 <span>  <span class="op">)</span> <span class="op">|&gt;</span></span>
@@ -486,38 +482,38 @@ <h1 class="title">Chromatin accessibility II</h1>
 </div>
 <p>Either way, now we need to reformat the data.</p>
 <div class="cell">
-<div class="sourceCode cell-code" id="cb14"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb14-1"><a href="#cb14-1" aria-hidden="true" tabindex="-1"></a>mnase_tbl_wide <span class="ot">&lt;-</span></span>
-<span id="cb14-2"><a href="#cb14-2" aria-hidden="true" tabindex="-1"></a>  mnase_tbl <span class="sc">|&gt;</span></span>
-<span id="cb14-3"><a href="#cb14-3" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(</span>
-<span id="cb14-4"><a href="#cb14-4" aria-hidden="true" tabindex="-1"></a>    name,</span>
-<span id="cb14-5"><a href="#cb14-5" aria-hidden="true" tabindex="-1"></a>    win_coord,</span>
-<span id="cb14-6"><a href="#cb14-6" aria-hidden="true" tabindex="-1"></a>    win_signal</span>
-<span id="cb14-7"><a href="#cb14-7" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span></span>
-<span id="cb14-8"><a href="#cb14-8" aria-hidden="true" tabindex="-1"></a>  <span class="co"># this step is important to sort + and - windows correctly</span></span>
-<span id="cb14-9"><a href="#cb14-9" aria-hidden="true" tabindex="-1"></a>  <span class="fu">arrange</span>(name, win_coord) <span class="sc">|&gt;</span></span>
-<span id="cb14-10"><a href="#cb14-10" aria-hidden="true" tabindex="-1"></a>  <span class="fu">replace_na</span>(</span>
-<span id="cb14-11"><a href="#cb14-11" aria-hidden="true" tabindex="-1"></a>    <span class="fu">list</span>(<span class="at">win_signal =</span> <span class="dv">0</span>)</span>
-<span id="cb14-12"><a href="#cb14-12" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span></span>
-<span id="cb14-13"><a href="#cb14-13" aria-hidden="true" tabindex="-1"></a>  pivot_???(</span>
-<span id="cb14-14"><a href="#cb14-14" aria-hidden="true" tabindex="-1"></a>    <span class="at">id_cols =</span> name,</span>
-<span id="cb14-15"><a href="#cb14-15" aria-hidden="true" tabindex="-1"></a>    <span class="at">names_from =</span> <span class="st">"win_coord"</span>,</span>
-<span id="cb14-16"><a href="#cb14-16" aria-hidden="true" tabindex="-1"></a>    <span class="at">values_from =</span> <span class="st">"win_signal"</span></span>
-<span id="cb14-17"><a href="#cb14-17" aria-hidden="true" tabindex="-1"></a>  )</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<div class="sourceCode cell-code" id="cb12"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb12-1"><a href="#cb12-1" aria-hidden="true" tabindex="-1"></a>mnase_tbl_wide <span class="ot">&lt;-</span></span>
+<span id="cb12-2"><a href="#cb12-2" aria-hidden="true" tabindex="-1"></a>  mnase_tbl <span class="sc">|&gt;</span></span>
+<span id="cb12-3"><a href="#cb12-3" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(</span>
+<span id="cb12-4"><a href="#cb12-4" aria-hidden="true" tabindex="-1"></a>    name,</span>
+<span id="cb12-5"><a href="#cb12-5" aria-hidden="true" tabindex="-1"></a>    win_coord,</span>
+<span id="cb12-6"><a href="#cb12-6" aria-hidden="true" tabindex="-1"></a>    win_signal</span>
+<span id="cb12-7"><a href="#cb12-7" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span></span>
+<span id="cb12-8"><a href="#cb12-8" aria-hidden="true" tabindex="-1"></a>  <span class="co"># this step is important to sort + and - windows correctly</span></span>
+<span id="cb12-9"><a href="#cb12-9" aria-hidden="true" tabindex="-1"></a>  <span class="fu">arrange</span>(name, win_coord) <span class="sc">|&gt;</span></span>
+<span id="cb12-10"><a href="#cb12-10" aria-hidden="true" tabindex="-1"></a>  <span class="fu">replace_na</span>(</span>
+<span id="cb12-11"><a href="#cb12-11" aria-hidden="true" tabindex="-1"></a>    <span class="fu">list</span>(<span class="at">win_signal =</span> <span class="dv">0</span>)</span>
+<span id="cb12-12"><a href="#cb12-12" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span></span>
+<span id="cb12-13"><a href="#cb12-13" aria-hidden="true" tabindex="-1"></a>  pivot_???(</span>
+<span id="cb12-14"><a href="#cb12-14" aria-hidden="true" tabindex="-1"></a>    <span class="at">id_cols =</span> name,</span>
+<span id="cb12-15"><a href="#cb12-15" aria-hidden="true" tabindex="-1"></a>    <span class="at">names_from =</span> <span class="st">"win_coord"</span>,</span>
+<span id="cb12-16"><a href="#cb12-16" aria-hidden="true" tabindex="-1"></a>    <span class="at">values_from =</span> <span class="st">"win_signal"</span></span>
+<span id="cb12-17"><a href="#cb12-17" aria-hidden="true" tabindex="-1"></a>  )</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
 <p>Once we have the data reformatted, we just convert to a matrix and feed it to <code><a href="https://rdrr.io/pkg/ComplexHeatmap/man/Heatmap.html">ComplexHeatmap::Heatmap()</a></code>.</p>
 <div class="cell">
-<div class="sourceCode cell-code" id="cb15"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb15-1"><a href="#cb15-1" aria-hidden="true" tabindex="-1"></a><span class="co"># drop the name &amp; convert to matrix</span></span>
-<span id="cb15-2"><a href="#cb15-2" aria-hidden="true" tabindex="-1"></a>mnase_mtx <span class="ot">&lt;-</span></span>
-<span id="cb15-3"><a href="#cb15-3" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(mnase_tbl_wide, <span class="sc">-</span>name) <span class="sc">|&gt;</span></span>
-<span id="cb15-4"><a href="#cb15-4" aria-hidden="true" tabindex="-1"></a>  <span class="fu">as.___</span>()</span>
-<span id="cb15-5"><a href="#cb15-5" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb15-6"><a href="#cb15-6" aria-hidden="true" tabindex="-1"></a>ComplexHeatmap<span class="sc">::</span><span class="fu">___</span>(</span>
-<span id="cb15-7"><a href="#cb15-7" aria-hidden="true" tabindex="-1"></a>  mnase_mtx,</span>
-<span id="cb15-8"><a href="#cb15-8" aria-hidden="true" tabindex="-1"></a>  <span class="at">cluster_columns =</span> <span class="cn">FALSE</span>,</span>
-<span id="cb15-9"><a href="#cb15-9" aria-hidden="true" tabindex="-1"></a>  <span class="at">show_row_dend =</span> <span class="cn">FALSE</span>,</span>
-<span id="cb15-10"><a href="#cb15-10" aria-hidden="true" tabindex="-1"></a>  <span class="at">show_column_names =</span> <span class="cn">FALSE</span>,</span>
-<span id="cb15-11"><a href="#cb15-11" aria-hidden="true" tabindex="-1"></a>  <span class="at">show_heatmap_legend =</span> <span class="cn">FALSE</span></span>
-<span id="cb15-12"><a href="#cb15-12" aria-hidden="true" tabindex="-1"></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<div class="sourceCode cell-code" id="cb13"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb13-1"><a href="#cb13-1" aria-hidden="true" tabindex="-1"></a><span class="co"># drop the name &amp; convert to matrix</span></span>
+<span id="cb13-2"><a href="#cb13-2" aria-hidden="true" tabindex="-1"></a>mnase_mtx <span class="ot">&lt;-</span></span>
+<span id="cb13-3"><a href="#cb13-3" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(mnase_tbl_wide, <span class="sc">-</span>name) <span class="sc">|&gt;</span></span>
+<span id="cb13-4"><a href="#cb13-4" aria-hidden="true" tabindex="-1"></a>  <span class="fu">as.___</span>()</span>
+<span id="cb13-5"><a href="#cb13-5" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb13-6"><a href="#cb13-6" aria-hidden="true" tabindex="-1"></a>ComplexHeatmap<span class="sc">::</span><span class="fu">___</span>(</span>
+<span id="cb13-7"><a href="#cb13-7" aria-hidden="true" tabindex="-1"></a>  mnase_mtx,</span>
+<span id="cb13-8"><a href="#cb13-8" aria-hidden="true" tabindex="-1"></a>  <span class="at">cluster_columns =</span> <span class="cn">FALSE</span>,</span>
+<span id="cb13-9"><a href="#cb13-9" aria-hidden="true" tabindex="-1"></a>  <span class="at">show_row_dend =</span> <span class="cn">FALSE</span>,</span>
+<span id="cb13-10"><a href="#cb13-10" aria-hidden="true" tabindex="-1"></a>  <span class="at">show_column_names =</span> <span class="cn">FALSE</span>,</span>
+<span id="cb13-11"><a href="#cb13-11" aria-hidden="true" tabindex="-1"></a>  <span class="at">show_heatmap_legend =</span> <span class="cn">FALSE</span></span>
+<span id="cb13-12"><a href="#cb13-12" aria-hidden="true" tabindex="-1"></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
 </section><section id="interpreting-meta-plots-and-heatmaps" class="level2"><h2 class="anchored" data-anchor-id="interpreting-meta-plots-and-heatmaps">Interpreting meta-plots and heatmaps</h2>
 <p>It’s worth considering what meta-plots and heatmaps <em>can</em> and <em>can’t</em> tell you.</p>
@@ -528,7 +524,7 @@ <h1 class="title">Chromatin accessibility II</h1>
 <li><p>What are some hypotheses you can generate based on these plots?</p></li>
 </ol></section><section id="assessing-the-signfiicance-of-observed-patterns." class="level2"><h2 class="anchored" data-anchor-id="assessing-the-signfiicance-of-observed-patterns.">Assessing the signfiicance of observed patterns.</h2>
 <p>One approach for assessing the signifcance of a pattern (e.g., the density of nucleosomes around transcription start sites), is to randomize the reference points, and use those to remeasure density. This can be done by generating a random set of TSS like:</p>
-<div class="sourceCode" id="cb16"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="va">n_tss</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/length.html">length</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/unique.html">unique</a></span><span class="op">(</span><span class="va">yeast_tss</span><span class="op">$</span><span class="va">name</span><span class="op">)</span><span class="op">)</span></span>
+<div class="sourceCode" id="cb14"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="va">n_tss</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/length.html">length</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/unique.html">unique</a></span><span class="op">(</span><span class="va">yeast_tss</span><span class="op">$</span><span class="va">name</span><span class="op">)</span><span class="op">)</span></span>
 <span><span class="fu"><a href="https://rnabioco.github.io/valr/reference/bed_random.html">bed_random</a></span><span class="op">(</span><span class="va">genome</span>, length <span class="op">=</span> <span class="fl">1</span>, n <span class="op">=</span> <span class="va">n_tss</span><span class="op">)</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 <p>Given enough random sites, you will be able to vizulaized what a null distribution of overlaps looks like. If you reframe your question around a response variable (i.e., “how many intact nucleosomes are within 500 bp of a TSS?”) then you can calcuate an empirical p-value using the approaches covered in the bootcamp.</p>
 </section><section id="utility-of-metaplots-and-heatmaps-in-practice" class="level2"><h2 class="anchored" data-anchor-id="utility-of-metaplots-and-heatmaps-in-practice">Utility of metaplots and heatmaps in practice</h2>
diff --git a/exercises/ex-18_files/figure-html/heatmap-matrix-plot-1.png b/exercises/ex-18_files/figure-html/heatmap-matrix-plot-1.png
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diff --git a/exercises/ex-18_files/figure-html/plot-meta-signals-1.png b/exercises/ex-18_files/figure-html/plot-meta-signals-1.png
deleted file mode 100644
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@@ -707,7 +707,7 @@ <h1 class="title">MOLB 7950: Informatics and Statistics for Molecular Biology</h
 <td headers="Week 1 stub_1_1 instructor" class="gt_row gt_center">Hesselberth</td>
 <td headers="Week 1 stub_1_1 title" class="gt_row gt_center">Intro to R &amp; RStudio</td>
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-<td headers="Week 1 stub_1_1 slides_link" class="gt_row gt_center"><a href="slides/slides-01.html">📄</a></td>
+<td headers="Week 1 stub_1_1 slides_link" class="gt_row gt_center"><a href="slides/slides-01.html">📃</a></td>
 <td headers="Week 1 stub_1_1 ex_link" class="gt_row gt_center"><a href="exercises/ex-01.html">💪</a></td>
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@@ -718,7 +718,7 @@ <h1 class="title">MOLB 7950: Informatics and Statistics for Molecular Biology</h
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@@ -740,7 +740,7 @@ <h1 class="title">MOLB 7950: Informatics and Statistics for Molecular Biology</h
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-<td headers="Week 1 stub_1_5 slides_link" class="gt_row gt_center"><a href="slides/slides-05.html">📄</a></td>
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 <td headers="Week 2 stub_1_7 instructor" class="gt_row gt_center">Hesselberth</td>
 <td headers="Week 2 stub_1_7 title" class="gt_row gt_center">tidyverse odds &amp; ends</td>
 <td headers="Week 2 stub_1_7 prepare_link" class="gt_row gt_center"></td>
-<td headers="Week 2 stub_1_7 slides_link" class="gt_row gt_center"><a href="slides/slides-07.html">📄</a></td>
+<td headers="Week 2 stub_1_7 slides_link" class="gt_row gt_center"><a href="slides/slides-07.html">📃</a></td>
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 <td headers="Week 2 stub_1_10 instructor" class="gt_row gt_center gt_striped">Mukherjee</td>
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-<td headers="Week 2 stub_1_10 slides_link" class="gt_row gt_center gt_striped"><a href="slides/slides-10.html">📄</a></td>
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@@ -823,7 +823,7 @@ <h1 class="title">MOLB 7950: Informatics and Statistics for Molecular Biology</h
 <td headers="Week 3 stub_1_11 instructor" class="gt_row gt_center">Mukherjee</td>
 <td headers="Week 3 stub_1_11 title" class="gt_row gt_center">Probability and descriptive stats</td>
 <td headers="Week 3 stub_1_11 prepare_link" class="gt_row gt_center"><a href="prepare/prepare-11.html">📖</a></td>
-<td headers="Week 3 stub_1_11 slides_link" class="gt_row gt_center"><a href="slides/slides-11.html">📄</a></td>
+<td headers="Week 3 stub_1_11 slides_link" class="gt_row gt_center"><a href="slides/slides-11.html">📃</a></td>
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-<td headers="Week 3 stub_1_12 slides_link" class="gt_row gt_center gt_striped"><a href="slides/slides-12.html">📄</a></td>
+<td headers="Week 3 stub_1_12 slides_link" class="gt_row gt_center gt_striped"><a href="slides/slides-12.html">📃</a></td>
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@@ -845,7 +845,7 @@ <h1 class="title">MOLB 7950: Informatics and Statistics for Molecular Biology</h
 <td headers="Week 3 stub_1_13 instructor" class="gt_row gt_center">Mukherjee</td>
 <td headers="Week 3 stub_1_13 title" class="gt_row gt_center">Hypothesis testing</td>
 <td headers="Week 3 stub_1_13 prepare_link" class="gt_row gt_center"></td>
-<td headers="Week 3 stub_1_13 slides_link" class="gt_row gt_center"><a href="slides/slides-13.html">📄</a></td>
+<td headers="Week 3 stub_1_13 slides_link" class="gt_row gt_center"><a href="slides/slides-13.html">📃</a></td>
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 <td headers="Week 3 stub_1_13 hw_key_link" class="gt_row gt_center"><a href="problem-set-keys/ps-key-13.html">🔑</a></td></tr>
@@ -856,7 +856,7 @@ <h1 class="title">MOLB 7950: Informatics and Statistics for Molecular Biology</h
 <td headers="Week 3 stub_1_14 instructor" class="gt_row gt_center gt_striped">Mukherjee</td>
 <td headers="Week 3 stub_1_14 title" class="gt_row gt_center gt_striped">Exploratory data analysis</td>
 <td headers="Week 3 stub_1_14 prepare_link" class="gt_row gt_center gt_striped"></td>
-<td headers="Week 3 stub_1_14 slides_link" class="gt_row gt_center gt_striped"><a href="slides/slides-14.html">📄</a></td>
+<td headers="Week 3 stub_1_14 slides_link" class="gt_row gt_center gt_striped"><a href="slides/slides-14.html">📃</a></td>
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@@ -867,7 +867,7 @@ <h1 class="title">MOLB 7950: Informatics and Statistics for Molecular Biology</h
 <td headers="Week 3 stub_1_15 instructor" class="gt_row gt_center">Mukherjee</td>
 <td headers="Week 3 stub_1_15 title" class="gt_row gt_center">Big data concerns</td>
 <td headers="Week 3 stub_1_15 prepare_link" class="gt_row gt_center"></td>
-<td headers="Week 3 stub_1_15 slides_link" class="gt_row gt_center"><a href="slides/slides-15.html">📄</a></td>
+<td headers="Week 3 stub_1_15 slides_link" class="gt_row gt_center"><a href="slides/slides-15.html">📃</a></td>
 <td headers="Week 3 stub_1_15 ex_link" class="gt_row gt_center"><a href="exercises/ex-15.html">💪</a></td>
 <td headers="Week 3 stub_1_15 hw_link" class="gt_row gt_center"><a href="problem-sets/ps-15.html">🧠</a></td>
 <td headers="Week 3 stub_1_15 hw_key_link" class="gt_row gt_center"><a href="problem-set-keys/ps-key-15.html">🔑</a></td></tr>
@@ -881,7 +881,7 @@ <h1 class="title">MOLB 7950: Informatics and Statistics for Molecular Biology</h
 <td headers="Week 4 stub_1_16 instructor" class="gt_row gt_center gt_striped">Hesselberth</td>
 <td headers="Week 4 stub_1_16 title" class="gt_row gt_center gt_striped">Experimental overview</td>
 <td headers="Week 4 stub_1_16 prepare_link" class="gt_row gt_center gt_striped"><a href="prepare/prepare-16.html">📖</a></td>
-<td headers="Week 4 stub_1_16 slides_link" class="gt_row gt_center gt_striped"><a href="slides/slides-16.html">📄</a></td>
+<td headers="Week 4 stub_1_16 slides_link" class="gt_row gt_center gt_striped"><a href="slides/slides-16.html">📃</a></td>
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 <td headers="Week 4 stub_1_16 hw_link" class="gt_row gt_center gt_striped"><a href="problem-sets/ps-16.html">🧠</a></td>
 <td headers="Week 4 stub_1_16 hw_key_link" class="gt_row gt_center gt_striped"><a href="problem-set-keys/ps-key-16.html">🔑</a></td></tr>
diff --git a/problem-set-keys/ps-key-01.html b/problem-set-keys/ps-key-01.html
index 8af0f8ac..d0cdf9e4 100644
--- a/problem-set-keys/ps-key-01.html
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-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
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@@ -260,7 +260,7 @@ <h1 class="title">Problem Set 1 Key</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
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   </div>
   
diff --git a/problem-set-keys/ps-key-02.html b/problem-set-keys/ps-key-02.html
index 9f748396..b5594ee3 100644
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-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - Problem Set 2 Key</title>
 <style>
 code{white-space: pre-wrap;}
@@ -265,7 +265,7 @@ <h1 class="title">Problem Set 2 Key</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
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   </div>
   
diff --git a/problem-set-keys/ps-key-03.html b/problem-set-keys/ps-key-03.html
index bdf2f14b..2cef7652 100644
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-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - R Bootcamp Problem Set 3</title>
 <style>
 code{white-space: pre-wrap;}
@@ -256,7 +256,7 @@ <h1 class="title">R Bootcamp Problem Set 3</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
     </div>
   </div>
   
diff --git a/problem-set-keys/ps-key-04.html b/problem-set-keys/ps-key-04.html
index 41d685be..c60d625e 100644
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-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - R Bootcamp Problem Set 4</title>
 <style>
 code{white-space: pre-wrap;}
@@ -259,7 +259,7 @@ <h1 class="title">R Bootcamp Problem Set 4</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
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   </div>
   
diff --git a/problem-set-keys/ps-key-05.html b/problem-set-keys/ps-key-05.html
index 1123a6a9..dfe091da 100644
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-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - R Bootcamp - Problem Set 5 (Extreme aRt)</title>
 <style>
 code{white-space: pre-wrap;}
@@ -245,7 +245,7 @@ <h1 class="title">R Bootcamp - Problem Set 5 (Extreme aRt)</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
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diff --git a/problem-set-keys/ps-key-07.html b/problem-set-keys/ps-key-07.html
index dfe7494b..3f019125 100644
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+<meta name="dcterms.date" content="2023-09-24">
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@@ -256,7 +256,7 @@ <h1 class="title">R Bootcamp Problem Set 6</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
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   </div>
   
diff --git a/problem-set-keys/ps-key-09.html b/problem-set-keys/ps-key-09.html
index 2f422559..2a66fa0e 100644
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+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - R Bootcamp Problem Set 9</title>
 <style>
 code{white-space: pre-wrap;}
@@ -272,7 +272,7 @@ <h1 class="title">R Bootcamp Problem Set 9</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
     </div>
   </div>
   
diff --git a/problem-set-keys/ps-key-11.html b/problem-set-keys/ps-key-11.html
index d97c53a8..003dba30 100644
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-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - Problem Set Stats Bootcamp - class 11</title>
 <style>
 code{white-space: pre-wrap;}
@@ -252,7 +252,7 @@ <h1 class="title">Problem Set Stats Bootcamp - class 11</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
     </div>
   </div>
   
diff --git a/problem-set-keys/ps-key-12.html b/problem-set-keys/ps-key-12.html
index fc21bddc..0143368e 100644
--- a/problem-set-keys/ps-key-12.html
+++ b/problem-set-keys/ps-key-12.html
@@ -5,7 +5,7 @@
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 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 <meta name="author" content="Neelanjan Mukherjee">
-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - Problem Set Stats Bootcamp - class 12</title>
 <style>
 code{white-space: pre-wrap;}
@@ -275,7 +275,7 @@ <h1 class="title">Problem Set Stats Bootcamp - class 12</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
     </div>
   </div>
   
diff --git a/problem-set-keys/ps-key-13.html b/problem-set-keys/ps-key-13.html
index ef217fe5..936397c8 100644
--- a/problem-set-keys/ps-key-13.html
+++ b/problem-set-keys/ps-key-13.html
@@ -5,7 +5,7 @@
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 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
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-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - Problem Set Stats Bootcamp - class 12</title>
 <style>
 code{white-space: pre-wrap;}
@@ -278,7 +278,7 @@ <h1 class="title">Problem Set Stats Bootcamp - class 12</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
     </div>
   </div>
   
diff --git a/problem-set-keys/ps-key-14.html b/problem-set-keys/ps-key-14.html
index ac78615a..4f9319d3 100644
--- a/problem-set-keys/ps-key-14.html
+++ b/problem-set-keys/ps-key-14.html
@@ -5,7 +5,7 @@
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 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
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-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - Problem Set Stats Bootcamp - class 12</title>
 <style>
 code{white-space: pre-wrap;}
@@ -259,7 +259,7 @@ <h1 class="title">Problem Set Stats Bootcamp - class 12</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
     </div>
   </div>
   
diff --git a/problem-set-keys/ps-key-15.html b/problem-set-keys/ps-key-15.html
index 1fe227c0..071c7a92 100644
--- a/problem-set-keys/ps-key-15.html
+++ b/problem-set-keys/ps-key-15.html
@@ -5,7 +5,7 @@
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 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 <meta name="author" content="Neelanjan Mukherjee">
-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - Problem Set Stats Bootcamp - class 15</title>
 <style>
 code{white-space: pre-wrap;}
@@ -259,7 +259,7 @@ <h1 class="title">Problem Set Stats Bootcamp - class 15</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
     </div>
   </div>
   
diff --git a/problem-set-keys/ps-key-16.html b/problem-set-keys/ps-key-16.html
index fe07b337..1e0b88b8 100644
--- a/problem-set-keys/ps-key-16.html
+++ b/problem-set-keys/ps-key-16.html
@@ -4,7 +4,7 @@
 <meta charset="utf-8">
 <meta name="generator" content="quarto-1.3.450">
 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - DNA Block - Problem Set 16</title>
 <style>
 code{white-space: pre-wrap;}
@@ -244,7 +244,7 @@ <h1 class="title">DNA Block - Problem Set 16</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
     </div>
   </div>
   
diff --git a/problem-sets/ps-01.html b/problem-sets/ps-01.html
index d7a96593..697fb47d 100644
--- a/problem-sets/ps-01.html
+++ b/problem-sets/ps-01.html
@@ -5,7 +5,7 @@
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 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 <meta name="author" content="Your Name Here">
-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - R Bootcamp Problem Set 1</title>
 <style>
 code{white-space: pre-wrap;}
@@ -226,7 +226,7 @@ <h1 class="title">R Bootcamp Problem Set 1</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
     </div>
   </div>
   
diff --git a/problem-sets/ps-02.html b/problem-sets/ps-02.html
index 37f3ad2d..0911f4ff 100644
--- a/problem-sets/ps-02.html
+++ b/problem-sets/ps-02.html
@@ -5,7 +5,7 @@
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 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 <meta name="author" content="Your Name Here">
-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - R Bootcamp Problem Set 2</title>
 <style>
 code{white-space: pre-wrap;}
@@ -228,7 +228,7 @@ <h1 class="title">R Bootcamp Problem Set 2</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
     </div>
   </div>
   
diff --git a/problem-sets/ps-03.html b/problem-sets/ps-03.html
index 87a5df13..28a7e9b9 100644
--- a/problem-sets/ps-03.html
+++ b/problem-sets/ps-03.html
@@ -5,7 +5,7 @@
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-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - R Bootcamp Problem Set 3</title>
 <style>
 code{white-space: pre-wrap;}
@@ -222,7 +222,7 @@ <h1 class="title">R Bootcamp Problem Set 3</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
     </div>
   </div>
   
diff --git a/problem-sets/ps-04.html b/problem-sets/ps-04.html
index 0990fdba..9bc82cc1 100644
--- a/problem-sets/ps-04.html
+++ b/problem-sets/ps-04.html
@@ -5,7 +5,7 @@
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-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - R Bootcamp Problem Set 4</title>
 <style>
 code{white-space: pre-wrap;}
@@ -222,7 +222,7 @@ <h1 class="title">R Bootcamp Problem Set 4</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
     </div>
   </div>
   
diff --git a/problem-sets/ps-05.html b/problem-sets/ps-05.html
index 1e6ee5c9..bea9c4dd 100644
--- a/problem-sets/ps-05.html
+++ b/problem-sets/ps-05.html
@@ -5,7 +5,7 @@
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-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - R Bootcamp - Problem Set 5 (Extreme aRt)</title>
 <style>
 code{white-space: pre-wrap;}
@@ -253,7 +253,7 @@ <h1 class="title">R Bootcamp - Problem Set 5 (Extreme aRt)</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
     </div>
   </div>
   
diff --git a/problem-sets/ps-07.html b/problem-sets/ps-07.html
index 5c8d9c9b..a2cd00ea 100644
--- a/problem-sets/ps-07.html
+++ b/problem-sets/ps-07.html
@@ -5,7 +5,7 @@
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-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - R Bootcamp Problem Set 6</title>
 <style>
 code{white-space: pre-wrap;}
@@ -253,7 +253,7 @@ <h1 class="title">R Bootcamp Problem Set 6</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
     </div>
   </div>
   
diff --git a/problem-sets/ps-09.html b/problem-sets/ps-09.html
index 990c2c01..d3b4d02e 100644
--- a/problem-sets/ps-09.html
+++ b/problem-sets/ps-09.html
@@ -5,7 +5,7 @@
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 <meta name="author" content="Your Name Here">
-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - R Bootcamp Problem Set 9</title>
 <style>
 code{white-space: pre-wrap;}
@@ -231,7 +231,7 @@ <h1 class="title">R Bootcamp Problem Set 9</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
     </div>
   </div>
   
diff --git a/problem-sets/ps-11.html b/problem-sets/ps-11.html
index c39ed84c..427259cd 100644
--- a/problem-sets/ps-11.html
+++ b/problem-sets/ps-11.html
@@ -5,7 +5,7 @@
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 <meta name="author" content="Neelanjan Mukherjee">
-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - Problem Set Stats Bootcamp - class 11</title>
 <style>
 code{white-space: pre-wrap;}
@@ -249,7 +249,7 @@ <h1 class="title">Problem Set Stats Bootcamp - class 11</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
     </div>
   </div>
   
diff --git a/problem-sets/ps-12.html b/problem-sets/ps-12.html
index 78416b58..a63daa03 100644
--- a/problem-sets/ps-12.html
+++ b/problem-sets/ps-12.html
@@ -5,7 +5,7 @@
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 <meta name="author" content="Neelanjan Mukherjee">
-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - Problem Set Stats Bootcamp - class 12</title>
 <style>
 code{white-space: pre-wrap;}
@@ -271,7 +271,7 @@ <h1 class="title">Problem Set Stats Bootcamp - class 12</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
     </div>
   </div>
   
diff --git a/problem-sets/ps-13.html b/problem-sets/ps-13.html
index 328cdf69..8df6bda8 100644
--- a/problem-sets/ps-13.html
+++ b/problem-sets/ps-13.html
@@ -5,7 +5,7 @@
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-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - Problem Set Stats Bootcamp - class 12</title>
 <style>
 code{white-space: pre-wrap;}
@@ -275,7 +275,7 @@ <h1 class="title">Problem Set Stats Bootcamp - class 12</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
     </div>
   </div>
   
diff --git a/problem-sets/ps-14.html b/problem-sets/ps-14.html
index 00e91ac1..bbf1bca8 100644
--- a/problem-sets/ps-14.html
+++ b/problem-sets/ps-14.html
@@ -5,7 +5,7 @@
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-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - Problem Set Stats Bootcamp - class 12</title>
 <style>
 code{white-space: pre-wrap;}
@@ -256,7 +256,7 @@ <h1 class="title">Problem Set Stats Bootcamp - class 12</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
     </div>
   </div>
   
diff --git a/problem-sets/ps-15.html b/problem-sets/ps-15.html
index 74205a22..1d8443c7 100644
--- a/problem-sets/ps-15.html
+++ b/problem-sets/ps-15.html
@@ -5,7 +5,7 @@
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-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - Problem Set Stats Bootcamp - class 15</title>
 <style>
 code{white-space: pre-wrap;}
@@ -256,7 +256,7 @@ <h1 class="title">Problem Set Stats Bootcamp - class 15</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
     </div>
   </div>
   
diff --git a/problem-sets/ps-16.html b/problem-sets/ps-16.html
index 1c8082f0..b413a599 100644
--- a/problem-sets/ps-16.html
+++ b/problem-sets/ps-16.html
@@ -5,7 +5,7 @@
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-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - DNA Block - Problem Set 16</title>
 <style>
 code{white-space: pre-wrap;}
@@ -251,7 +251,7 @@ <h1 class="title">DNA Block - Problem Set 16</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
     </div>
   </div>
   
diff --git a/problem-sets/ps-18.html b/problem-sets/ps-18.html
index 3a3caaee..e0933a2a 100644
--- a/problem-sets/ps-18.html
+++ b/problem-sets/ps-18.html
@@ -5,7 +5,7 @@
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-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 <title>MOLB 7950 - DNA Block - Problem Set 18</title>
 <style>
 code{white-space: pre-wrap;}
@@ -255,7 +255,7 @@ <h1 class="title">DNA Block - Problem Set 18</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
     </div>
   </div>
   
@@ -268,41 +268,14 @@ <h1 class="title">DNA Block - Problem Set 18</h1>
 </section><section id="load-libraries" class="level2"><h2 class="anchored" data-anchor-id="load-libraries">Load libraries</h2>
 <p>Start by loading libraries you need analysis in the code chunk below.</p>
 <div class="cell">
-<div class="sourceCode" id="cb1"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="va"><a href="https://tidyverse.tidyverse.org">tidyverse</a></span><span class="op">)</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-stderr">
-<pre><code>── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
-✔ dplyr     1.1.3     ✔ readr     2.1.4
-✔ forcats   1.0.0     ✔ stringr   1.5.0
-✔ ggplot2   3.4.3     ✔ tibble    3.2.1
-✔ lubridate 1.9.2     ✔ tidyr     1.3.0
-✔ purrr     1.0.2     
-── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
-✖ dplyr::filter() masks stats::filter()
-✖ dplyr::lag()    masks stats::lag()
-ℹ Use the conflicted package (&lt;http://conflicted.r-lib.org/&gt;) to force all conflicts to become errors</code></pre>
-</div>
-<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="va"><a href="https://here.r-lib.org/">here</a></span><span class="op">)</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-stderr">
-<pre><code>here() starts at /home/runner/work/molb-7950/molb-7950</code></pre>
-</div>
-<div class="sourceCode" id="cb5"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="va"><a href="https://wilkelab.org/cowplot/">cowplot</a></span><span class="op">)</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-stderr">
-<pre><code>
-Attaching package: 'cowplot'
-
-The following object is masked from 'package:lubridate':
-
-    stamp</code></pre>
-</div>
-<div class="sourceCode" id="cb7"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/rnabioco/valr/">valr</a></span><span class="op">)</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-stderr">
-<pre><code>Warning: replacing previous import 'S4Arrays::makeNindexFromArrayViewport' by
-'DelayedArray::makeNindexFromArrayViewport' when loading 'SummarizedExperiment'</code></pre>
-</div>
+<div class="sourceCode" id="cb1"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="va"><a href="https://tidyverse.tidyverse.org">tidyverse</a></span><span class="op">)</span></span>
+<span><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="va"><a href="https://here.r-lib.org/">here</a></span><span class="op">)</span></span>
+<span><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="va"><a href="https://wilkelab.org/cowplot/">cowplot</a></span><span class="op">)</span></span>
+<span><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/rnabioco/valr/">valr</a></span><span class="op">)</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
 <p>Load the data from the MNase-seq experiment.</p>
 <div class="cell">
-<div class="sourceCode" id="cb9"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="va">mnase_tbl</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rnabioco.github.io/valr/reference/read_bed.html">read_bed</a></span><span class="op">(</span></span>
+<div class="sourceCode" id="cb2"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="va">mnase_tbl</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rnabioco.github.io/valr/reference/read_bed.html">read_bed</a></span><span class="op">(</span></span>
 <span>  <span class="fu"><a href="https://here.r-lib.org//reference/here.html">here</a></span><span class="op">(</span><span class="st">"data/block-dna/yeast_mnase_chrII.bed.gz"</span><span class="op">)</span></span>
 <span><span class="op">)</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
@@ -310,7 +283,7 @@ <h1 class="title">DNA Block - Problem Set 18</h1>
 <p><img src="../img/ps-17-mnase-histogram.png" class="img-fluid"></p>
 <p>We can calculate the counts for the histogram above and more precisely determine the maximum signal using <code><a href="https://rdrr.io/r/base/which.min.html">which.max()</a></code> to identify the <em>index</em> of the maximum value in a vector (<em>not</em> the value itself!):</p>
 <div class="cell">
-<div class="sourceCode" id="cb10"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="va">frag_hist</span> <span class="op">&lt;-</span></span>
+<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="va">frag_hist</span> <span class="op">&lt;-</span></span>
 <span>  <span class="va">mnase_tbl</span> <span class="op">|&gt;</span></span>
 <span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html">mutate</a></span><span class="op">(</span>frag_len <span class="op">=</span> <span class="va">end</span> <span class="op">-</span> <span class="va">start</span><span class="op">)</span> <span class="op">|&gt;</span></span>
 <span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/count.html">count</a></span><span class="op">(</span><span class="va">frag_len</span><span class="op">)</span></span>
@@ -322,14 +295,14 @@ <h1 class="title">DNA Block - Problem Set 18</h1>
 <span><span class="co"># we'll use `ncp_max` later in question 2.</span></span>
 <span><span class="va">ncp_max</span> <span class="op">&lt;-</span> <span class="va">frag_hist</span><span class="op">$</span><span class="va">frag_len</span><span class="op">[</span><span class="va">max_idx</span><span class="op">]</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
-<p>So this tells us that that the most abundant fragment size in the library is 149 bp.</p>
+<p>So this tells us that that the most abundant fragment size in the library is ??? bp.</p>
 </section><section id="question-1-7-points" class="level2"><h2 class="anchored" data-anchor-id="question-1-7-points">Question 1 – 7 points</h2>
 <p>Let’s take a closer look at the some of the smaller fragments in the MNase experiment. In particular, let’s zoom in on the populations of fragments that are smaller than 1 nucleosome in size, the peak between 85 and 95 bp (the left-most blue vertical line).</p>
 <ol type="1">
 <li>Use the above strategy to precisely determine the peak of this smaller size range. How big are those fragments? These are called “sub-nucleosomal” fragments.</li>
 </ol>
 <div class="cell">
-<div class="sourceCode" id="cb11"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="co"># store the maximum value in `subnuc_max`. we'll use it later in question 2.</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<div class="sourceCode" id="cb4"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="co"># store the maximum value in `subnuc_max`. we'll use it later in question 2.</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
 <blockquote class="blockquote">
 <p>The maximum sub-nucleosomal fragments size is ??? bp.</p>
@@ -354,7 +327,7 @@ <h1 class="title">DNA Block - Problem Set 18</h1>
 </li>
 </ol>
 <div class="cell">
-<div class="sourceCode" id="cb12"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="va">genome</span> <span class="op">&lt;-</span> <span class="va">read_</span><span class="op">?</span><span class="op">?</span><span class="op">?</span><span class="op">(</span><span class="fu"><a href="https://here.r-lib.org//reference/here.html">here</a></span><span class="op">(</span><span class="st">"data/block-dna/sacCer3.chrom.sizes"</span><span class="op">)</span><span class="op">)</span></span>
+<div class="sourceCode" id="cb5"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="va">genome</span> <span class="op">&lt;-</span> <span class="va">read_</span><span class="op">?</span><span class="op">?</span><span class="op">?</span><span class="op">(</span><span class="fu"><a href="https://here.r-lib.org//reference/here.html">here</a></span><span class="op">(</span><span class="st">"data/block-dna/sacCer3.chrom.sizes"</span><span class="op">)</span><span class="op">)</span></span>
 <span><span class="va">p1_tbl</span> <span class="op">&lt;-</span> <span class="va">read_</span><span class="op">?</span><span class="op">?</span><span class="op">?</span><span class="op">(</span><span class="fu"><a href="https://here.r-lib.org//reference/here.html">here</a></span><span class="op">(</span><span class="st">"data/block-dna/yeast_p1_chrII.bed.gz"</span><span class="op">)</span><span class="op">)</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
 <ol start="2" type="1">
@@ -370,50 +343,50 @@ <h1 class="title">DNA Block - Problem Set 18</h1>
 </li>
 </ol>
 <div class="cell">
-<div class="sourceCode cell-code" id="cb14"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb14-1"><a href="#cb14-1" aria-hidden="true" tabindex="-1"></a>calc_mids <span class="ot">&lt;-</span> <span class="cf">function</span>(tbl, min_len, max_len) {</span>
-<span id="cb14-2"><a href="#cb14-2" aria-hidden="true" tabindex="-1"></a>  tbl <span class="sc">|&gt;</span></span>
-<span id="cb14-3"><a href="#cb14-3" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(</span>
-<span id="cb14-4"><a href="#cb14-4" aria-hidden="true" tabindex="-1"></a>      <span class="at">frag_len =</span> ___ <span class="sc">-</span> ___</span>
-<span id="cb14-5"><a href="#cb14-5" aria-hidden="true" tabindex="-1"></a>    ) <span class="sc">|&gt;</span></span>
-<span id="cb14-6"><a href="#cb14-6" aria-hidden="true" tabindex="-1"></a>    <span class="fu">filter</span>(</span>
-<span id="cb14-7"><a href="#cb14-7" aria-hidden="true" tabindex="-1"></a>      frag_len <span class="sc">&gt;=</span> ___ <span class="sc">&amp;</span> frag_len <span class="sc">&lt;=</span> ___</span>
-<span id="cb14-8"><a href="#cb14-8" aria-hidden="true" tabindex="-1"></a>    ) <span class="sc">|&gt;</span></span>
-<span id="cb14-9"><a href="#cb14-9" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(</span>
-<span id="cb14-10"><a href="#cb14-10" aria-hidden="true" tabindex="-1"></a>      <span class="co"># calculate the half-size interval using `end` and `start,</span></span>
-<span id="cb14-11"><a href="#cb14-11" aria-hidden="true" tabindex="-1"></a>      <span class="co"># then add that value to `start`</span></span>
-<span id="cb14-12"><a href="#cb14-12" aria-hidden="true" tabindex="-1"></a>      <span class="at">midpoint =</span> ___</span>
-<span id="cb14-13"><a href="#cb14-13" aria-hidden="true" tabindex="-1"></a>    ) <span class="sc">|&gt;</span></span>
-<span id="cb14-14"><a href="#cb14-14" aria-hidden="true" tabindex="-1"></a>    <span class="fu">select</span>(chrom, midpoint) <span class="sc">|&gt;</span></span>
-<span id="cb14-15"><a href="#cb14-15" aria-hidden="true" tabindex="-1"></a>    <span class="fu">rename</span>(<span class="at">start =</span> midpoint) <span class="sc">|&gt;</span></span>
-<span id="cb14-16"><a href="#cb14-16" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(<span class="at">end =</span> start <span class="sc">+</span> <span class="dv">1</span>)</span>
-<span id="cb14-17"><a href="#cb14-17" aria-hidden="true" tabindex="-1"></a>}</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<div class="sourceCode cell-code" id="cb7"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb7-1"><a href="#cb7-1" aria-hidden="true" tabindex="-1"></a>calc_mids <span class="ot">&lt;-</span> <span class="cf">function</span>(tbl, min_len, max_len) {</span>
+<span id="cb7-2"><a href="#cb7-2" aria-hidden="true" tabindex="-1"></a>  tbl <span class="sc">|&gt;</span></span>
+<span id="cb7-3"><a href="#cb7-3" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(</span>
+<span id="cb7-4"><a href="#cb7-4" aria-hidden="true" tabindex="-1"></a>      <span class="at">frag_len =</span> ___ <span class="sc">-</span> ___</span>
+<span id="cb7-5"><a href="#cb7-5" aria-hidden="true" tabindex="-1"></a>    ) <span class="sc">|&gt;</span></span>
+<span id="cb7-6"><a href="#cb7-6" aria-hidden="true" tabindex="-1"></a>    <span class="fu">filter</span>(</span>
+<span id="cb7-7"><a href="#cb7-7" aria-hidden="true" tabindex="-1"></a>      frag_len <span class="sc">&gt;=</span> ___ <span class="sc">&amp;</span> frag_len <span class="sc">&lt;=</span> ___</span>
+<span id="cb7-8"><a href="#cb7-8" aria-hidden="true" tabindex="-1"></a>    ) <span class="sc">|&gt;</span></span>
+<span id="cb7-9"><a href="#cb7-9" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(</span>
+<span id="cb7-10"><a href="#cb7-10" aria-hidden="true" tabindex="-1"></a>      <span class="co"># calculate the half-size interval using `end` and `start,</span></span>
+<span id="cb7-11"><a href="#cb7-11" aria-hidden="true" tabindex="-1"></a>      <span class="co"># then add that value to `start`</span></span>
+<span id="cb7-12"><a href="#cb7-12" aria-hidden="true" tabindex="-1"></a>      <span class="at">midpoint =</span> ___</span>
+<span id="cb7-13"><a href="#cb7-13" aria-hidden="true" tabindex="-1"></a>    ) <span class="sc">|&gt;</span></span>
+<span id="cb7-14"><a href="#cb7-14" aria-hidden="true" tabindex="-1"></a>    <span class="fu">select</span>(chrom, midpoint) <span class="sc">|&gt;</span></span>
+<span id="cb7-15"><a href="#cb7-15" aria-hidden="true" tabindex="-1"></a>    <span class="fu">rename</span>(<span class="at">start =</span> midpoint) <span class="sc">|&gt;</span></span>
+<span id="cb7-16"><a href="#cb7-16" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(<span class="at">end =</span> start <span class="sc">+</span> <span class="dv">1</span>)</span>
+<span id="cb7-17"><a href="#cb7-17" aria-hidden="true" tabindex="-1"></a>}</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
 <ol start="3" type="1">
 <li>Next, use that function to calculate midpoints, and expand these midpoints by 20 bp in each direction with <code><a href="https://rnabioco.github.io/valr/reference/bed_slop.html">bed_slop()</a></code>.</li>
 </ol>
 <div class="cell">
-<div class="sourceCode cell-code" id="cb15"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb15-1"><a href="#cb15-1" aria-hidden="true" tabindex="-1"></a>ncp_mids_tbl <span class="ot">&lt;-</span></span>
-<span id="cb15-2"><a href="#cb15-2" aria-hidden="true" tabindex="-1"></a>  <span class="co"># first calculate midpoints for nucleosome fragments within 3 bp length `ncp_max`</span></span>
-<span id="cb15-3"><a href="#cb15-3" aria-hidden="true" tabindex="-1"></a>  <span class="fu">calc_mids</span>(mnase_tbl, ___ <span class="sc">-</span> <span class="dv">3</span>, ___ <span class="sc">+</span> <span class="dv">3</span>) <span class="sc">|&gt;</span></span>
-<span id="cb15-4"><a href="#cb15-4" aria-hidden="true" tabindex="-1"></a>  <span class="co"># expand those windows to get a larter window for intersection</span></span>
-<span id="cb15-5"><a href="#cb15-5" aria-hidden="true" tabindex="-1"></a>  <span class="fu">bed_slop</span>(genome, <span class="at">both =</span> <span class="dv">20</span>)</span>
-<span id="cb15-6"><a href="#cb15-6" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb15-7"><a href="#cb15-7" aria-hidden="true" tabindex="-1"></a><span class="co"># now, do the same for nucleosome fragments of length `subnuc_max`</span></span>
-<span id="cb15-8"><a href="#cb15-8" aria-hidden="true" tabindex="-1"></a>subnuc_mids_tbl <span class="ot">&lt;-</span></span>
-<span id="cb15-9"><a href="#cb15-9" aria-hidden="true" tabindex="-1"></a>  <span class="fu">calc_mids</span>(mnase_tbl, ___ <span class="sc">-</span> <span class="dv">3</span>, ___ <span class="sc">+</span> <span class="dv">3</span>) <span class="sc">|&gt;</span></span>
-<span id="cb15-10"><a href="#cb15-10" aria-hidden="true" tabindex="-1"></a>  <span class="fu">bed_slop</span>(genome, <span class="at">both =</span> <span class="dv">20</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<div class="sourceCode cell-code" id="cb8"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb8-1"><a href="#cb8-1" aria-hidden="true" tabindex="-1"></a>ncp_mids_tbl <span class="ot">&lt;-</span></span>
+<span id="cb8-2"><a href="#cb8-2" aria-hidden="true" tabindex="-1"></a>  <span class="co"># first calculate midpoints for nucleosome fragments within 3 bp length `ncp_max`</span></span>
+<span id="cb8-3"><a href="#cb8-3" aria-hidden="true" tabindex="-1"></a>  <span class="fu">calc_mids</span>(mnase_tbl, ___ <span class="sc">-</span> <span class="dv">3</span>, ___ <span class="sc">+</span> <span class="dv">3</span>) <span class="sc">|&gt;</span></span>
+<span id="cb8-4"><a href="#cb8-4" aria-hidden="true" tabindex="-1"></a>  <span class="co"># expand those windows to get a larter window for intersection</span></span>
+<span id="cb8-5"><a href="#cb8-5" aria-hidden="true" tabindex="-1"></a>  <span class="fu">bed_slop</span>(genome, <span class="at">both =</span> <span class="dv">20</span>)</span>
+<span id="cb8-6"><a href="#cb8-6" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb8-7"><a href="#cb8-7" aria-hidden="true" tabindex="-1"></a><span class="co"># now, do the same for nucleosome fragments of length `subnuc_max`</span></span>
+<span id="cb8-8"><a href="#cb8-8" aria-hidden="true" tabindex="-1"></a>subnuc_mids_tbl <span class="ot">&lt;-</span></span>
+<span id="cb8-9"><a href="#cb8-9" aria-hidden="true" tabindex="-1"></a>  <span class="fu">calc_mids</span>(mnase_tbl, ___ <span class="sc">-</span> <span class="dv">3</span>, ___ <span class="sc">+</span> <span class="dv">3</span>) <span class="sc">|&gt;</span></span>
+<span id="cb8-10"><a href="#cb8-10" aria-hidden="true" tabindex="-1"></a>  <span class="fu">bed_slop</span>(genome, <span class="at">both =</span> <span class="dv">20</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
 <ol start="4" type="1">
 <li>Next, we need to make the reference points for a metaplot. We’ll look 100 bp up- and downstream of the +1 nucleosome positions, and make windows that are 1 bp in size.</li>
 </ol>
 <div class="cell">
-<div class="sourceCode cell-code" id="cb16"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb16-1"><a href="#cb16-1" aria-hidden="true" tabindex="-1"></a>p1_win_tbl <span class="ot">&lt;-</span></span>
-<span id="cb16-2"><a href="#cb16-2" aria-hidden="true" tabindex="-1"></a>  bed_???(</span>
-<span id="cb16-3"><a href="#cb16-3" aria-hidden="true" tabindex="-1"></a>    p1_tbl,</span>
-<span id="cb16-4"><a href="#cb16-4" aria-hidden="true" tabindex="-1"></a>    genome,</span>
-<span id="cb16-5"><a href="#cb16-5" aria-hidden="true" tabindex="-1"></a>    <span class="at">both =</span> <span class="dv">100</span></span>
-<span id="cb16-6"><a href="#cb16-6" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span></span>
-<span id="cb16-7"><a href="#cb16-7" aria-hidden="true" tabindex="-1"></a>  bed_???(<span class="at">win_size =</span> <span class="dv">1</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<div class="sourceCode cell-code" id="cb9"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb9-1"><a href="#cb9-1" aria-hidden="true" tabindex="-1"></a>p1_win_tbl <span class="ot">&lt;-</span></span>
+<span id="cb9-2"><a href="#cb9-2" aria-hidden="true" tabindex="-1"></a>  bed_???(</span>
+<span id="cb9-3"><a href="#cb9-3" aria-hidden="true" tabindex="-1"></a>    p1_tbl,</span>
+<span id="cb9-4"><a href="#cb9-4" aria-hidden="true" tabindex="-1"></a>    genome,</span>
+<span id="cb9-5"><a href="#cb9-5" aria-hidden="true" tabindex="-1"></a>    <span class="at">both =</span> <span class="dv">100</span></span>
+<span id="cb9-6"><a href="#cb9-6" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span></span>
+<span id="cb9-7"><a href="#cb9-7" aria-hidden="true" tabindex="-1"></a>  bed_???(<span class="at">win_size =</span> <span class="dv">1</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
 <ol start="5" type="1">
 <li>
@@ -422,27 +395,27 @@ <h1 class="title">DNA Block - Problem Set 18</h1>
 </li>
 </ol>
 <div class="cell">
-<div class="sourceCode cell-code" id="cb17"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb17-1"><a href="#cb17-1" aria-hidden="true" tabindex="-1"></a>ncp_mids_summary_tbl <span class="ot">&lt;-</span></span>
-<span id="cb17-2"><a href="#cb17-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">bed_intersect</span>(</span>
-<span id="cb17-3"><a href="#cb17-3" aria-hidden="true" tabindex="-1"></a>    p1_win_tbl,</span>
-<span id="cb17-4"><a href="#cb17-4" aria-hidden="true" tabindex="-1"></a>    ncp_mids_tbl</span>
-<span id="cb17-5"><a href="#cb17-5" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span></span>
-<span id="cb17-6"><a href="#cb17-6" aria-hidden="true" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">count</span>(___) <span class="sc">|&gt;</span></span>
-<span id="cb17-7"><a href="#cb17-7" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">type =</span> <span class="st">"Intact nucleosomes (~149 bp)"</span>)</span>
-<span id="cb17-8"><a href="#cb17-8" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb17-9"><a href="#cb17-9" aria-hidden="true" tabindex="-1"></a>subnuc_mids_summary_tbl <span class="ot">&lt;-</span></span>
-<span id="cb17-10"><a href="#cb17-10" aria-hidden="true" tabindex="-1"></a>  <span class="fu">bed_intersect</span>(</span>
-<span id="cb17-11"><a href="#cb17-11" aria-hidden="true" tabindex="-1"></a>    p1_win_tbl,</span>
-<span id="cb17-12"><a href="#cb17-12" aria-hidden="true" tabindex="-1"></a>    subnuc_mids_tbl</span>
-<span id="cb17-13"><a href="#cb17-13" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span></span>
-<span id="cb17-14"><a href="#cb17-14" aria-hidden="true" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">count</span>(___) <span class="sc">|&gt;</span></span>
-<span id="cb17-15"><a href="#cb17-15" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">type =</span> <span class="st">"Sub-nucleosomes (~90 bp)"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<div class="sourceCode cell-code" id="cb10"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb10-1"><a href="#cb10-1" aria-hidden="true" tabindex="-1"></a>ncp_mids_summary_tbl <span class="ot">&lt;-</span></span>
+<span id="cb10-2"><a href="#cb10-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">bed_intersect</span>(</span>
+<span id="cb10-3"><a href="#cb10-3" aria-hidden="true" tabindex="-1"></a>    p1_win_tbl,</span>
+<span id="cb10-4"><a href="#cb10-4" aria-hidden="true" tabindex="-1"></a>    ncp_mids_tbl</span>
+<span id="cb10-5"><a href="#cb10-5" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span></span>
+<span id="cb10-6"><a href="#cb10-6" aria-hidden="true" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">count</span>(___) <span class="sc">|&gt;</span></span>
+<span id="cb10-7"><a href="#cb10-7" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">type =</span> <span class="st">"Intact nucleosomes (~149 bp)"</span>)</span>
+<span id="cb10-8"><a href="#cb10-8" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb10-9"><a href="#cb10-9" aria-hidden="true" tabindex="-1"></a>subnuc_mids_summary_tbl <span class="ot">&lt;-</span></span>
+<span id="cb10-10"><a href="#cb10-10" aria-hidden="true" tabindex="-1"></a>  <span class="fu">bed_intersect</span>(</span>
+<span id="cb10-11"><a href="#cb10-11" aria-hidden="true" tabindex="-1"></a>    p1_win_tbl,</span>
+<span id="cb10-12"><a href="#cb10-12" aria-hidden="true" tabindex="-1"></a>    subnuc_mids_tbl</span>
+<span id="cb10-13"><a href="#cb10-13" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span></span>
+<span id="cb10-14"><a href="#cb10-14" aria-hidden="true" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">count</span>(___) <span class="sc">|&gt;</span></span>
+<span id="cb10-15"><a href="#cb10-15" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">type =</span> <span class="st">"Sub-nucleosomes (~90 bp)"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
 <ol start="6" type="1">
 <li>The following joins the tables you made together, and makes the x-axis more informative, by converting to relative genomic position rather than window ID.</li>
 </ol>
 <div class="cell">
-<div class="sourceCode" id="cb18"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="va">win_ids</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/seq.html">seq</a></span><span class="op">(</span><span class="op">-</span><span class="fl">100</span>, <span class="fl">100</span>, <span class="fl">1</span><span class="op">)</span></span>
+<div class="sourceCode" id="cb11"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="va">win_ids</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/seq.html">seq</a></span><span class="op">(</span><span class="op">-</span><span class="fl">100</span>, <span class="fl">100</span>, <span class="fl">1</span><span class="op">)</span></span>
 <span></span>
 <span><span class="va">all_tbl</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/bind_rows.html">bind_rows</a></span><span class="op">(</span></span>
 <span>  <span class="va">ncp_mids_summary_tbl</span>,</span>
@@ -454,7 +427,7 @@ <h1 class="title">DNA Block - Problem Set 18</h1>
 <li>Finally, we plot the data with position on the x-axis, and count on the y-axis.</li>
 </ol>
 <div class="cell">
-<div class="sourceCode" id="cb19"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html">ggplot</a></span><span class="op">(</span></span>
+<div class="sourceCode" id="cb12"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html">ggplot</a></span><span class="op">(</span></span>
 <span>  <span class="va">all_tbl</span>,</span>
 <span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html">aes</a></span><span class="op">(</span><span class="va">win_ids</span>, <span class="va">n</span><span class="op">)</span></span>
 <span><span class="op">)</span> <span class="op">+</span></span>
diff --git a/resources/block-dna-resources.html b/resources/block-dna-resources.html
index 99dfe945..eb08e10a 100644
--- a/resources/block-dna-resources.html
+++ b/resources/block-dna-resources.html
@@ -239,7 +239,7 @@ <h1 class="title">Resources for the DNA block</h1>
 
 <section id="foundational-work" class="level2">
 <h2 class="anchored" data-anchor-id="foundational-work">Foundational work</h2>
-<p>These studies below laid the methodological groundwork for high throughput chromatin characterization by DNA sequencing. We’re not going to use them directly in class, but if you are going to do similar experiments, they’re worth a read. Some of the authors are here at CU Anschutz!</p>
+<p>These studies below laid the methodological groundwork for high throughput chromatin characterization by DNA sequencing. Some of the authors are here at CU Anschutz!</p>
 <div class="callout callout-style-default callout-tip callout-titled">
 <div class="callout-header d-flex align-content-center">
 <div class="callout-icon-container">
diff --git a/resources/bootcamp-resources.html b/resources/bootcamp-resources.html
index d742a495..f1987796 100644
--- a/resources/bootcamp-resources.html
+++ b/resources/bootcamp-resources.html
@@ -7,7 +7,7 @@
 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 
 <meta name="author" content="Jay Hesselberth">
-<meta name="dcterms.date" content="2023-09-23">
+<meta name="dcterms.date" content="2023-09-24">
 
 <title>MOLB 7950 - Bootcamp resources</title>
 <style>
@@ -240,7 +240,7 @@ <h1 class="title">Bootcamp resources</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 23, 2023</p>
+      <p class="date">September 24, 2023</p>
     </div>
   </div>
   
diff --git a/search.json b/search.json
index bd96e601..db21f0cc 100644
--- a/search.json
+++ b/search.json
@@ -18,14 +18,14 @@
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     "title": "Resources for the DNA block",
     "section": "",
-    "text": "These studies below laid the methodological groundwork for high throughput chromatin characterization by DNA sequencing. We’re not going to use them directly in class, but if you are going to do similar experiments, they’re worth a read. Some of the authors are here at CU Anschutz!\n\n\n\n\n\n\nTip\n\n\n\nData sets from these studies would be excellent choices as starting points for your final projects.\n\n\n\n\nHesselberth JR, Chen X, Zhang Z, Sabo PJ, Sandstrom R, Reynolds AP, Thurman RE, Neph S, Kuehn MS, Noble WS, Fields S, Stamatoyannopoulos JA. Global mapping of protein-DNA interactions in vivo by digital genomic footprinting. Nat Methods. 2009 19305407; PMCID: PMC2668528. [Link]\n\n\n\nBuenrostro JD, Giresi PG, Zaba LC, Chang HY, Greenleaf WJ. Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position. Nat Methods. 2013 PMID: 24097267; PMCID: PMC3959825. [Link]\n\n\n\nRamachandran S, Ahmad K, Henikoff S. Transcription and Remodeling Produce Asymmetrically Unwrapped Nucleosomal Intermediates. Mol Cell. 2017 PMID: 29225036; PMCID: PMC6421108. [Link]\n\n\n\nSkene PJ, Henikoff S. An efficient targeted nuclease strategy for high-resolution mapping of DNA binding sites. Elife. 2017 PMID: 28079019; PMCID: PMC5310842. [Link]\nKaya-Okur HS, Wu SJ, Codomo CA, Pledger ES, Bryson TD, Henikoff JG, Ahmad K, Henikoff S. CUT&Tag for efficient epigenomic profiling of small samples and single cells. Nat Commun. 2019 PMID: 31036827; PMCID: PMC6488672. [Link]"
+    "text": "These studies below laid the methodological groundwork for high throughput chromatin characterization by DNA sequencing. Some of the authors are here at CU Anschutz!\n\n\n\n\n\n\nTip\n\n\n\nData sets from these studies would be excellent choices as starting points for your final projects.\n\n\n\n\nHesselberth JR, Chen X, Zhang Z, Sabo PJ, Sandstrom R, Reynolds AP, Thurman RE, Neph S, Kuehn MS, Noble WS, Fields S, Stamatoyannopoulos JA. Global mapping of protein-DNA interactions in vivo by digital genomic footprinting. Nat Methods. 2009 19305407; PMCID: PMC2668528. [Link]\n\n\n\nBuenrostro JD, Giresi PG, Zaba LC, Chang HY, Greenleaf WJ. Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position. Nat Methods. 2013 PMID: 24097267; PMCID: PMC3959825. [Link]\n\n\n\nRamachandran S, Ahmad K, Henikoff S. Transcription and Remodeling Produce Asymmetrically Unwrapped Nucleosomal Intermediates. Mol Cell. 2017 PMID: 29225036; PMCID: PMC6421108. [Link]\n\n\n\nSkene PJ, Henikoff S. An efficient targeted nuclease strategy for high-resolution mapping of DNA binding sites. Elife. 2017 PMID: 28079019; PMCID: PMC5310842. [Link]\nKaya-Okur HS, Wu SJ, Codomo CA, Pledger ES, Bryson TD, Henikoff JG, Ahmad K, Henikoff S. CUT&Tag for efficient epigenomic profiling of small samples and single cells. Nat Commun. 2019 PMID: 31036827; PMCID: PMC6488672. [Link]"
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-    "text": "These studies below laid the methodological groundwork for high throughput chromatin characterization by DNA sequencing. We’re not going to use them directly in class, but if you are going to do similar experiments, they’re worth a read. Some of the authors are here at CU Anschutz!\n\n\n\n\n\n\nTip\n\n\n\nData sets from these studies would be excellent choices as starting points for your final projects.\n\n\n\n\nHesselberth JR, Chen X, Zhang Z, Sabo PJ, Sandstrom R, Reynolds AP, Thurman RE, Neph S, Kuehn MS, Noble WS, Fields S, Stamatoyannopoulos JA. Global mapping of protein-DNA interactions in vivo by digital genomic footprinting. Nat Methods. 2009 19305407; PMCID: PMC2668528. [Link]\n\n\n\nBuenrostro JD, Giresi PG, Zaba LC, Chang HY, Greenleaf WJ. Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position. Nat Methods. 2013 PMID: 24097267; PMCID: PMC3959825. [Link]\n\n\n\nRamachandran S, Ahmad K, Henikoff S. Transcription and Remodeling Produce Asymmetrically Unwrapped Nucleosomal Intermediates. Mol Cell. 2017 PMID: 29225036; PMCID: PMC6421108. [Link]\n\n\n\nSkene PJ, Henikoff S. An efficient targeted nuclease strategy for high-resolution mapping of DNA binding sites. Elife. 2017 PMID: 28079019; PMCID: PMC5310842. [Link]\nKaya-Okur HS, Wu SJ, Codomo CA, Pledger ES, Bryson TD, Henikoff JG, Ahmad K, Henikoff S. CUT&Tag for efficient epigenomic profiling of small samples and single cells. Nat Commun. 2019 PMID: 31036827; PMCID: PMC6488672. [Link]"
+    "text": "These studies below laid the methodological groundwork for high throughput chromatin characterization by DNA sequencing. Some of the authors are here at CU Anschutz!\n\n\n\n\n\n\nTip\n\n\n\nData sets from these studies would be excellent choices as starting points for your final projects.\n\n\n\n\nHesselberth JR, Chen X, Zhang Z, Sabo PJ, Sandstrom R, Reynolds AP, Thurman RE, Neph S, Kuehn MS, Noble WS, Fields S, Stamatoyannopoulos JA. Global mapping of protein-DNA interactions in vivo by digital genomic footprinting. Nat Methods. 2009 19305407; PMCID: PMC2668528. [Link]\n\n\n\nBuenrostro JD, Giresi PG, Zaba LC, Chang HY, Greenleaf WJ. Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position. Nat Methods. 2013 PMID: 24097267; PMCID: PMC3959825. [Link]\n\n\n\nRamachandran S, Ahmad K, Henikoff S. Transcription and Remodeling Produce Asymmetrically Unwrapped Nucleosomal Intermediates. Mol Cell. 2017 PMID: 29225036; PMCID: PMC6421108. [Link]\n\n\n\nSkene PJ, Henikoff S. An efficient targeted nuclease strategy for high-resolution mapping of DNA binding sites. Elife. 2017 PMID: 28079019; PMCID: PMC5310842. [Link]\nKaya-Okur HS, Wu SJ, Codomo CA, Pledger ES, Bryson TD, Henikoff JG, Ahmad K, Henikoff S. CUT&Tag for efficient epigenomic profiling of small samples and single cells. Nat Commun. 2019 PMID: 31036827; PMCID: PMC6488672. [Link]"
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@@ -676,7 +676,7 @@
     "href": "index.html",
     "title": "MOLB 7950: Informatics and Statistics for Molecular Biology",
     "section": "",
-    "text": "This page contains an outline of the topics, content, and assignments for the semester. Note that this schedule will be updated as the semester progresses, with all changes documented here.\n\n\n\n\n\n\n  \n    \n      MOLB 7950 - Fall 2023 Schedule\n    \n    \n      Classes held in-person in AHSB 2201, 9:00-10:30am\n    \n    \n      \n      Date\n      Block\n      Topic\n      Instructor\n      Title\n      \n        Links\n      \n    \n    \n      Prepare\n      Slides\n      Exercises\n      HW\n      Key\n    \n  \n  \n    \n      Week 1\n    \n    01\nMon, Aug 28, 2023\nBootcamp\nR\nHesselberth\nIntro to R & RStudio\n📖\n📄\n💪\n🧠\n🔑\n    02\nTue, Aug 29, 2023\nBootcamp\nR\nHesselberth\nTidy data & tidyr\n\n📄\n💪\n🧠\n🔑\n    03\nWed, Aug 30, 2023\nBootcamp\nR\nHesselberth\ndplyr\n\n📄\n💪\n🧠\n🔑\n    04\nThu, Aug 31, 2023\nBootcamp\nR\nHesselberth\nggplot2\n\n📄\n💪\n🧠\n🔑\n    05\nFri, Sep 1, 2023\nBootcamp\nR\nHesselberth\nggplot2\n\n📄\n💪\n🧠\n🔑\n    \n      Week 2\n    \n    06\nMon, Sep 4, 2023\n-\n-\n-\nNO CLASS: LABOR DAY\n\n\n\n\n\n    07\nTue, Sep 5, 2023\nBootcamp\nR\nHesselberth\ntidyverse odds & ends\n\n📄\n💪\n🧠\n🔑\n    08\nWed, Sep 6, 2023\nBootcamp\nR\nHesselberth\nputting it all together\n\n\n💪\n\n\n    09\nThu, Sep 7, 2023\nBootcamp\nR\nHesselberth\nputting it all together\n\n\n💪\n🧠\n🔑\n    10\nFri, Sep 8, 2023\nBootcamp\nStatistics\nMukherjee\nStats intro and history\n\n📄\n💪\n\n\n    \n      Week 3\n    \n    11\nMon, Sep 11, 2023\nBootcamp\nStatistics\nMukherjee\nProbability and descriptive stats\n📖\n📄\n💪\n🧠\n🔑\n    12\nTue, Sep 12, 2023\nBootcamp\nStatistics\nMukherjee\nHypothesis testing\n\n📄\n💪\n🧠\n🔑\n    13\nWed, Sep 13, 2023\nBootcamp\nStatistics\nMukherjee\nHypothesis testing\n\n📄\n💪\n🧠\n🔑\n    14\nThu, Sep 14, 2023\nBootcamp\nStatistics\nMukherjee\nExploratory data analysis\n\n📄\n💪\n🧠\n🔑\n    15\nFri, Sep 15, 2023\nBootcamp\nStatistics\nMukherjee\nBig data concerns\n\n📄\n💪\n🧠\n🔑\n    \n      Week 4\n    \n    16\nMon, Sep 18, 2023\nDNA\nMapping chromatin structure and transactions\nHesselberth\nExperimental overview\n📖\n📄\n💪\n🧠\n🔑\n    17\nWed, Sep 20, 2023\nDNA\nChromatin-centric methods\nHesselberth\nInformation from fragment length distributions\n\n\n💪\n\n\n    18\nFri, Sep 22, 2023\nDNA\nChromatin-centric methods\nHesselberth\nMeta-plots and heatmaps\n\n\n💪\n🧠\n\n    \n      Week 5\n    \n    19\nMon, Sep 25, 2023\nDNA\nWhere do proteins bind in the genome?\nHesselberth\nExperimental overview\n📖\n\n\n\n\n    20\nWed, Sep 27, 2023\nDNA\nFactor-centric methods\nHesselberth\nPeak calling\n\n\n\n\n\n    21\nFri, Sep 29, 2023\nDNA\nFactor-centric methods\nHesselberth\nSequence motif analysis\n\n\n\n\n\n    \n      Week 6\n    \n    22\nMon, Oct 2, 2023\nRNA\nRNA-seq Overview\nMukherjee\n-\n\n\n\n\n\n    23\nWed, Oct 4, 2023\nRNA\nDifferential Gene Expression\nMukherjee\n-\n\n\n\n\n\n    24\nFri, Oct 6, 2023\nRNA\nDifferential Gene Expression\nMukherjee\n-\n\n\n\n\n\n    \n      Week 7\n    \n    25\nMon, Oct 9, 2023\nRNA\nAlternative Splicing\nMukherjee\n-\n\n\n\n\n\n    26\nWed, Oct 11, 2023\nRNA\nVignette\nMukherjee\n-\n\n\n\n\n\n    27\nFri, Oct 13, 2023\n-\n-\n-\nNO CLASS: CSDV RETREAT\n\n\n\n\n\n    \n      Week 8\n    \n    28\nMon, Oct 16, 2023\nRNA\nRBP\nMukherjee\n-\n\n\n\n\n\n    29\nWed, Oct 18, 2023\nRNA\nRBP\nMukherjee\n-\n\n\n\n\n\n    30\nFri, Oct 20, 2023\nRNA\nLong-read sequencing\nHesselberth\n-\n\n\n\n\n\n    \n      Week 9\n    \n    31\nMon, Oct 23, 2023\nRNA\nSingle-cell\nRiemondy\n-\n\n\n\n\n\n    32\nWed, Oct 25, 2023\nRNA\nSingle-cell\nRiemondy\n-\n\n\n\n\n\n    33\nFri, Oct 27, 2023\n-\n-\n-\nNO CLASS: MOLB RETREAT\n\n\n\n\n\n    \n      Week 10\n    \n    34\nMon, Oct 30, 2023\nFinal\n-\n-\nFinal project presentations\n\n\n\n\n\n    35\nWed, Nov 1, 2023\nFinal\n-\n-\nFinal project presentations"
+    "text": "This page contains an outline of the topics, content, and assignments for the semester. Note that this schedule will be updated as the semester progresses, with all changes documented here.\n\n\n\n\n\n\n  \n    \n      MOLB 7950 - Fall 2023 Schedule\n    \n    \n      Classes held in-person in AHSB 2201, 9:00-10:30am\n    \n    \n      \n      Date\n      Block\n      Topic\n      Instructor\n      Title\n      \n        Links\n      \n    \n    \n      Prepare\n      Slides\n      Exercises\n      HW\n      Key\n    \n  \n  \n    \n      Week 1\n    \n    01\nMon, Aug 28, 2023\nBootcamp\nR\nHesselberth\nIntro to R & RStudio\n📖\n📃\n💪\n🧠\n🔑\n    02\nTue, Aug 29, 2023\nBootcamp\nR\nHesselberth\nTidy data & tidyr\n\n📃\n💪\n🧠\n🔑\n    03\nWed, Aug 30, 2023\nBootcamp\nR\nHesselberth\ndplyr\n\n📃\n💪\n🧠\n🔑\n    04\nThu, Aug 31, 2023\nBootcamp\nR\nHesselberth\nggplot2\n\n📃\n💪\n🧠\n🔑\n    05\nFri, Sep 1, 2023\nBootcamp\nR\nHesselberth\nggplot2\n\n📃\n💪\n🧠\n🔑\n    \n      Week 2\n    \n    06\nMon, Sep 4, 2023\n-\n-\n-\nNO CLASS: LABOR DAY\n\n\n\n\n\n    07\nTue, Sep 5, 2023\nBootcamp\nR\nHesselberth\ntidyverse odds & ends\n\n📃\n💪\n🧠\n🔑\n    08\nWed, Sep 6, 2023\nBootcamp\nR\nHesselberth\nputting it all together\n\n\n💪\n\n\n    09\nThu, Sep 7, 2023\nBootcamp\nR\nHesselberth\nputting it all together\n\n\n💪\n🧠\n🔑\n    10\nFri, Sep 8, 2023\nBootcamp\nStatistics\nMukherjee\nStats intro and history\n\n📃\n💪\n\n\n    \n      Week 3\n    \n    11\nMon, Sep 11, 2023\nBootcamp\nStatistics\nMukherjee\nProbability and descriptive stats\n📖\n📃\n💪\n🧠\n🔑\n    12\nTue, Sep 12, 2023\nBootcamp\nStatistics\nMukherjee\nHypothesis testing\n\n📃\n💪\n🧠\n🔑\n    13\nWed, Sep 13, 2023\nBootcamp\nStatistics\nMukherjee\nHypothesis testing\n\n📃\n💪\n🧠\n🔑\n    14\nThu, Sep 14, 2023\nBootcamp\nStatistics\nMukherjee\nExploratory data analysis\n\n📃\n💪\n🧠\n🔑\n    15\nFri, Sep 15, 2023\nBootcamp\nStatistics\nMukherjee\nBig data concerns\n\n📃\n💪\n🧠\n🔑\n    \n      Week 4\n    \n    16\nMon, Sep 18, 2023\nDNA\nMapping chromatin structure and transactions\nHesselberth\nExperimental overview\n📖\n📃\n💪\n🧠\n🔑\n    17\nWed, Sep 20, 2023\nDNA\nChromatin-centric methods\nHesselberth\nInformation from fragment length distributions\n\n\n💪\n\n\n    18\nFri, Sep 22, 2023\nDNA\nChromatin-centric methods\nHesselberth\nMeta-plots and heatmaps\n\n\n💪\n🧠\n\n    \n      Week 5\n    \n    19\nMon, Sep 25, 2023\nDNA\nWhere do proteins bind in the genome?\nHesselberth\nExperimental overview\n📖\n\n\n\n\n    20\nWed, Sep 27, 2023\nDNA\nFactor-centric methods\nHesselberth\nPeak calling\n\n\n\n\n\n    21\nFri, Sep 29, 2023\nDNA\nFactor-centric methods\nHesselberth\nSequence motif analysis\n\n\n\n\n\n    \n      Week 6\n    \n    22\nMon, Oct 2, 2023\nRNA\nRNA-seq Overview\nMukherjee\n-\n\n\n\n\n\n    23\nWed, Oct 4, 2023\nRNA\nDifferential Gene Expression\nMukherjee\n-\n\n\n\n\n\n    24\nFri, Oct 6, 2023\nRNA\nDifferential Gene Expression\nMukherjee\n-\n\n\n\n\n\n    \n      Week 7\n    \n    25\nMon, Oct 9, 2023\nRNA\nAlternative Splicing\nMukherjee\n-\n\n\n\n\n\n    26\nWed, Oct 11, 2023\nRNA\nVignette\nMukherjee\n-\n\n\n\n\n\n    27\nFri, Oct 13, 2023\n-\n-\n-\nNO CLASS: CSDV RETREAT\n\n\n\n\n\n    \n      Week 8\n    \n    28\nMon, Oct 16, 2023\nRNA\nRBP\nMukherjee\n-\n\n\n\n\n\n    29\nWed, Oct 18, 2023\nRNA\nRBP\nMukherjee\n-\n\n\n\n\n\n    30\nFri, Oct 20, 2023\nRNA\nLong-read sequencing\nHesselberth\n-\n\n\n\n\n\n    \n      Week 9\n    \n    31\nMon, Oct 23, 2023\nRNA\nSingle-cell\nRiemondy\n-\n\n\n\n\n\n    32\nWed, Oct 25, 2023\nRNA\nSingle-cell\nRiemondy\n-\n\n\n\n\n\n    33\nFri, Oct 27, 2023\n-\n-\n-\nNO CLASS: MOLB RETREAT\n\n\n\n\n\n    \n      Week 10\n    \n    34\nMon, Oct 30, 2023\nFinal\n-\n-\nFinal project presentations\n\n\n\n\n\n    35\nWed, Nov 1, 2023\nFinal\n-\n-\nFinal project presentations"
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     "title": "DNA Block - Problem Set 18",
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-    "text": "Load libraries\nStart by loading libraries you need analysis in the code chunk below.\n\nlibrary(tidyverse)\n\n── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──\n✔ dplyr     1.1.3     ✔ readr     2.1.4\n✔ forcats   1.0.0     ✔ stringr   1.5.0\n✔ ggplot2   3.4.3     ✔ tibble    3.2.1\n✔ lubridate 1.9.2     ✔ tidyr     1.3.0\n✔ purrr     1.0.2     \n── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──\n✖ dplyr::filter() masks stats::filter()\n✖ dplyr::lag()    masks stats::lag()\nℹ Use the conflicted package (&lt;http://conflicted.r-lib.org/&gt;) to force all conflicts to become errors\n\nlibrary(here)\n\nhere() starts at /home/runner/work/molb-7950/molb-7950\n\nlibrary(cowplot)\n\n\nAttaching package: 'cowplot'\n\nThe following object is masked from 'package:lubridate':\n\n    stamp\n\nlibrary(valr)\n\nWarning: replacing previous import 'S4Arrays::makeNindexFromArrayViewport' by\n'DelayedArray::makeNindexFromArrayViewport' when loading 'SummarizedExperiment'\n\n\nLoad the data from the MNase-seq experiment.\n\nmnase_tbl &lt;- read_bed(\n  here(\"data/block-dna/yeast_mnase_chrII.bed.gz\")\n)\n\nIn class we learned that MNase digestion yields nucleosomal “footprints” of ~150 bp in size. I’ve added blue vertical lines to emphasize positions of the major peak (intact nucleosomes) as well as smaller “sub-nucleosomal” peak.\n\nWe can calculate the counts for the histogram above and more precisely determine the maximum signal using which.max() to identify the index of the maximum value in a vector (not the value itself!):\n\nfrag_hist &lt;-\n  mnase_tbl |&gt;\n  mutate(frag_len = end - start) |&gt;\n  count(frag_len)\n\n# `which.max` takes a vector and gives us the index of the maximum value\nmax_idx &lt;- which.max(frag_hist$n)\n\n# now we can use index to find the abundant fragment size.\n# we'll use `ncp_max` later in question 2.\nncp_max &lt;- frag_hist$frag_len[max_idx]\n\nSo this tells us that that the most abundant fragment size in the library is 149 bp."
+    "text": "Load libraries\nStart by loading libraries you need analysis in the code chunk below.\n\nlibrary(tidyverse)\nlibrary(here)\nlibrary(cowplot)\nlibrary(valr)\n\nLoad the data from the MNase-seq experiment.\n\nmnase_tbl &lt;- read_bed(\n  here(\"data/block-dna/yeast_mnase_chrII.bed.gz\")\n)\n\nIn class we learned that MNase digestion yields nucleosomal “footprints” of ~150 bp in size. I’ve added blue vertical lines to emphasize positions of the major peak (intact nucleosomes) as well as smaller “sub-nucleosomal” peak.\n\nWe can calculate the counts for the histogram above and more precisely determine the maximum signal using which.max() to identify the index of the maximum value in a vector (not the value itself!):\n\nfrag_hist &lt;-\n  mnase_tbl |&gt;\n  mutate(frag_len = end - start) |&gt;\n  count(frag_len)\n\n# `which.max` takes a vector and gives us the index of the maximum value\nmax_idx &lt;- which.max(frag_hist$n)\n\n# now we can use index to find the abundant fragment size.\n# we'll use `ncp_max` later in question 2.\nncp_max &lt;- frag_hist$frag_len[max_idx]\n\nSo this tells us that that the most abundant fragment size in the library is ??? bp."
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diff --git a/slides/slides-01.html b/slides/slides-01.html
index 4b711b68..4441c481 100644
--- a/slides/slides-01.html
+++ b/slides/slides-01.html
@@ -11,7 +11,7 @@
   <meta name="generator" content="quarto-1.3.450">
 
   <meta name="author" content="Jay Hesselberth">
-  <meta name="dcterms.date" content="2023-09-23">
+  <meta name="dcterms.date" content="2023-09-24">
   <title>MOLB 7950 - R Bootcamp - Day 1</title>
   <meta name="apple-mobile-web-app-capable" content="yes">
   <meta name="apple-mobile-web-app-status-bar-style" content="black-translucent">
@@ -415,7 +415,7 @@ <h1 class="title">R Bootcamp - Day 1</h1>
     </div>
 </div>
 
-  <p class="date">2023-09-23</p>
+  <p class="date">2023-09-24</p>
 </section>
 <section>
 <section id="course-overview" class="title-slide slide level1 center">
diff --git a/slides/slides-02.html b/slides/slides-02.html
index c1e917db..f48be6e5 100644
--- a/slides/slides-02.html
+++ b/slides/slides-02.html
@@ -11,7 +11,7 @@
   <meta name="generator" content="quarto-1.3.450">
 
   <meta name="author" content="Jay Hesselberth">
-  <meta name="dcterms.date" content="2023-09-23">
+  <meta name="dcterms.date" content="2023-09-24">
   <title>MOLB 7950 - R Bootcamp - Day 2</title>
   <meta name="apple-mobile-web-app-capable" content="yes">
   <meta name="apple-mobile-web-app-status-bar-style" content="black-translucent">
@@ -415,7 +415,7 @@ <h1 class="title">R Bootcamp - Day 2</h1>
     </div>
 </div>
 
-  <p class="date">2023-09-23</p>
+  <p class="date">2023-09-24</p>
 </section>
 <section id="class-2-outline" class="slide level2">
 <h2>Class 2 outline</h2>
diff --git a/slides/slides-03.html b/slides/slides-03.html
index b2859c09..32312210 100644
--- a/slides/slides-03.html
+++ b/slides/slides-03.html
@@ -11,7 +11,7 @@
   <meta name="generator" content="quarto-1.3.450">
 
   <meta name="author" content="Jay Hesselberth">
-  <meta name="dcterms.date" content="2023-09-23">
+  <meta name="dcterms.date" content="2023-09-24">
   <title>MOLB 7950 - R Bootcamp - Day 3</title>
   <meta name="apple-mobile-web-app-capable" content="yes">
   <meta name="apple-mobile-web-app-status-bar-style" content="black-translucent">
@@ -415,7 +415,7 @@ <h1 class="title">R Bootcamp - Day 3</h1>
     </div>
 </div>
 
-  <p class="date">2023-09-23</p>
+  <p class="date">2023-09-24</p>
 </section>
 <section id="class-3-outline" class="slide level2 smaller">
 <h2>Class 3 outline</h2>
diff --git a/slides/slides-04.html b/slides/slides-04.html
index 7567af8a..d9ef2675 100644
--- a/slides/slides-04.html
+++ b/slides/slides-04.html
@@ -11,7 +11,7 @@
   <meta name="generator" content="quarto-1.3.450">
 
   <meta name="author" content="Jay Hesselberth">
-  <meta name="dcterms.date" content="2023-09-23">
+  <meta name="dcterms.date" content="2023-09-24">
   <title>MOLB 7950 - R Bootcamp - Day 4</title>
   <meta name="apple-mobile-web-app-capable" content="yes">
   <meta name="apple-mobile-web-app-status-bar-style" content="black-translucent">
@@ -415,7 +415,7 @@ <h1 class="title">R Bootcamp - Day 4</h1>
     </div>
 </div>
 
-  <p class="date">2023-09-23</p>
+  <p class="date">2023-09-24</p>
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 <section id="class-4-5-outline" class="slide level2 smaller">
 <h2>Class 4 &amp; 5 outline</h2>
diff --git a/slides/slides-05.html b/slides/slides-05.html
index 9d8cce77..b87446de 100644
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@@ -11,7 +11,7 @@
   <meta name="generator" content="quarto-1.3.450">
 
   <meta name="author" content="Jay Hesselberth">
-  <meta name="dcterms.date" content="2023-09-23">
+  <meta name="dcterms.date" content="2023-09-24">
   <title>MOLB 7950 - R Bootcamp - Day 5</title>
   <meta name="apple-mobile-web-app-capable" content="yes">
   <meta name="apple-mobile-web-app-status-bar-style" content="black-translucent">
@@ -415,7 +415,7 @@ <h1 class="title">R Bootcamp - Day 5</h1>
     </div>
 </div>
 
-  <p class="date">2023-09-23</p>
+  <p class="date">2023-09-24</p>
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 <section id="class-4-5-outline" class="slide level2 smaller">
 <h2>Class 4 &amp; 5 outline</h2>
diff --git a/slides/slides-07.html b/slides/slides-07.html
index ef8b043b..5c284f83 100644
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@@ -11,7 +11,7 @@
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   <meta name="author" content="Jay Hesselberth">
-  <meta name="dcterms.date" content="2023-09-23">
+  <meta name="dcterms.date" content="2023-09-24">
   <title>MOLB 7950 - R Bootcamp - Day 7</title>
   <meta name="apple-mobile-web-app-capable" content="yes">
   <meta name="apple-mobile-web-app-status-bar-style" content="black-translucent">
@@ -415,7 +415,7 @@ <h1 class="title">R Bootcamp - Day 7</h1>
     </div>
 </div>
 
-  <p class="date">2023-09-23</p>
+  <p class="date">2023-09-24</p>
 </section>
 <section id="class-7-outline" class="slide level2">
 <h2>Class 7 outline</h2>
diff --git a/slides/slides-10.html b/slides/slides-10.html
index 09ac13df..184ab3a3 100644
--- a/slides/slides-10.html
+++ b/slides/slides-10.html
@@ -11,7 +11,7 @@
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   <meta name="author" content="Neelanjan Mukherjee">
-  <meta name="dcterms.date" content="2023-09-23">
+  <meta name="dcterms.date" content="2023-09-24">
   <title>MOLB 7950 - Stats Bootcamp - class 10</title>
   <meta name="apple-mobile-web-app-capable" content="yes">
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@@ -415,7 +415,7 @@ <h1 class="title">Stats Bootcamp - class 10</h1>
     </div>
 </div>
 
-  <p class="date">2023-09-23</p>
+  <p class="date">2023-09-24</p>
 </section>
 <section id="learning-objective-stats-bootcamp" class="slide level2">
 <h2>Learning objective stats-bootcamp</h2>
@@ -459,12 +459,12 @@ <h2>See patterns where there are none</h2>
 
 <img data-src="https://upload.wikimedia.org/wikipedia/commons/thumb/f/fd/Ascaris_male_200x_section.jpg/1920px-Ascaris_male_200x_section.jpg" width="1483" class="r-stretch quarto-figure-center"><p class="caption">Cross-section of male nematode worm Ascaris</p><div class="cell">
 <div class="cell-output cell-output-stdout">
-<pre><code>  [1] "T" "H" "T" "H" "H" "H" "T" "H" "T" "T" "H" "H" "H" "T" "H" "H" "T" "T"
- [19] "H" "H" "H" "H" "T" "T" "H" "T" "H" "H" "T" "T" "T" "H" "T" "H" "H" "T"
- [37] "T" "H" "H" "T" "H" "T" "H" "H" "T" "H" "H" "T" "H" "H" "H" "T" "H" "T"
- [55] "T" "H" "H" "H" "H" "H" "H" "H" "H" "H" "T" "T" "T" "H" "T" "T" "T" "T"
- [73] "T" "T" "H" "H" "T" "T" "T" "H" "T" "H" "T" "T" "T" "T" "H" "T" "T" "H"
- [91] "H" "T" "H" "T" "H" "H" "T" "T" "H" "H"</code></pre>
+<pre><code>  [1] "T" "H" "H" "H" "H" "H" "H" "T" "T" "T" "T" "H" "H" "H" "H" "T" "H" "T"
+ [19] "H" "T" "H" "H" "T" "H" "H" "T" "H" "T" "T" "T" "T" "H" "H" "H" "T" "T"
+ [37] "H" "H" "H" "H" "T" "H" "H" "H" "H" "T" "H" "T" "H" "T" "T" "T" "T" "H"
+ [55] "T" "T" "T" "H" "H" "H" "T" "H" "H" "H" "T" "H" "H" "H" "H" "T" "T" "T"
+ [73] "T" "T" "T" "T" "H" "T" "T" "H" "H" "T" "T" "T" "H" "H" "H" "T" "H" "T"
+ [91] "H" "T" "H" "H" "T" "H" "T" "T" "T" "T"</code></pre>
 </div>
 </div>
 <p><a href="https://www.physicsforums.com/threads/need-help-my-stupid-friend-thinks-coin-flips-are-50-50.60279/">Need help! My friend thinks coin flips are 50-50!</a></p>
@@ -482,7 +482,7 @@ <h2>Let’s flip a fair coin</h2>
 <div class="sourceCode cell-code" id="cb2"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1"></a><span class="fu">rbinom</span>(<span class="at">n =</span> <span class="dv">5</span>, <span class="at">size =</span> <span class="dv">1</span>, <span class="at">prob =</span> .<span class="dv">5</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div><div class="column fragment">
 <div class="cell-output cell-output-stdout">
-<pre><code>[1] 0 1 1 1 0</code></pre>
+<pre><code>[1] 0 0 1 1 0</code></pre>
 </div>
 </div>
 </div>
@@ -492,7 +492,7 @@ <h2>Let’s flip a fair coin</h2>
 <div class="sourceCode cell-code" id="cb4"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1"></a><span class="fu">rbinom</span>(<span class="at">n =</span> <span class="dv">5</span>, <span class="at">size =</span> <span class="dv">1</span>, <span class="at">prob =</span> .<span class="dv">5</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div><div class="column fragment">
 <div class="cell-output cell-output-stdout">
-<pre><code>[1] 1 0 0 1 0</code></pre>
+<pre><code>[1] 0 0 1 1 1</code></pre>
 </div>
 </div>
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+++ b/slides/slides-11.html
@@ -11,7 +11,7 @@
   <meta name="generator" content="quarto-1.3.450">
 
   <meta name="author" content="Neelanjan Mukherjee">
-  <meta name="dcterms.date" content="2023-09-23">
+  <meta name="dcterms.date" content="2023-09-24">
   <title>MOLB 7950 - Stats Bootcamp - class 11</title>
   <meta name="apple-mobile-web-app-capable" content="yes">
   <meta name="apple-mobile-web-app-status-bar-style" content="black-translucent">
@@ -415,7 +415,7 @@ <h1 class="title">Stats Bootcamp - class 11</h1>
     </div>
 </div>
 
-  <p class="date">2023-09-23</p>
+  <p class="date">2023-09-24</p>
 </section>
 <section id="learning-objectives" class="slide level2">
 <h2>Learning objectives</h2>
diff --git a/slides/slides-12.html b/slides/slides-12.html
index f14ae47b..e14f0519 100644
--- a/slides/slides-12.html
+++ b/slides/slides-12.html
@@ -11,7 +11,7 @@
   <meta name="generator" content="quarto-1.3.450">
 
   <meta name="author" content="Neelanjan Mukherjee">
-  <meta name="dcterms.date" content="2023-09-23">
+  <meta name="dcterms.date" content="2023-09-24">
   <title>MOLB 7950 - Stats Bootcamp - class 12</title>
   <meta name="apple-mobile-web-app-capable" content="yes">
   <meta name="apple-mobile-web-app-status-bar-style" content="black-translucent">
@@ -415,7 +415,7 @@ <h1 class="title">Stats Bootcamp - class 12</h1>
     </div>
 </div>
 
-  <p class="date">2023-09-23</p>
+  <p class="date">2023-09-24</p>
 </section>
 <section id="learning-objectives" class="slide level2">
 <h2>Learning objectives</h2>
diff --git a/slides/slides-13.html b/slides/slides-13.html
index f0d9b9e7..27ac190d 100644
--- a/slides/slides-13.html
+++ b/slides/slides-13.html
@@ -11,7 +11,7 @@
   <meta name="generator" content="quarto-1.3.450">
 
   <meta name="author" content="Neelanjan Mukherjee">
-  <meta name="dcterms.date" content="2023-09-23">
+  <meta name="dcterms.date" content="2023-09-24">
   <title>MOLB 7950 - Stats Bootcamp - class 13</title>
   <meta name="apple-mobile-web-app-capable" content="yes">
   <meta name="apple-mobile-web-app-status-bar-style" content="black-translucent">
@@ -415,7 +415,7 @@ <h1 class="title">Stats Bootcamp - class 13</h1>
     </div>
 </div>
 
-  <p class="date">2023-09-23</p>
+  <p class="date">2023-09-24</p>
 </section>
 <section id="prepare-mouse-biochem-data" class="slide level2 smaller">
 <h2>Prepare mouse biochem data</h2>
diff --git a/slides/slides-14.html b/slides/slides-14.html
index c630a686..8525c4fb 100644
--- a/slides/slides-14.html
+++ b/slides/slides-14.html
@@ -11,7 +11,7 @@
   <meta name="generator" content="quarto-1.3.450">
 
   <meta name="author" content="Neelanjan Mukherjee">
-  <meta name="dcterms.date" content="2023-09-23">
+  <meta name="dcterms.date" content="2023-09-24">
   <title>MOLB 7950 - Stats Bootcamp - class 14</title>
   <meta name="apple-mobile-web-app-capable" content="yes">
   <meta name="apple-mobile-web-app-status-bar-style" content="black-translucent">
@@ -415,7 +415,7 @@ <h1 class="title">Stats Bootcamp - class 14</h1>
     </div>
 </div>
 
-  <p class="date">2023-09-23</p>
+  <p class="date">2023-09-24</p>
 </section>
 <section id="prepare-mouse-biochem-data" class="slide level2 smaller">
 <h2>Prepare mouse biochem data</h2>
@@ -546,23 +546,23 @@ <h2>STEP 2: Fit linear model and examine results</h2>
 </div><div class="column fragment">
 <div class="cell-output-display">
 
-<div id="oncstbrtwi" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#oncstbrtwi table {
+<div id="mlnyijdrlq" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#mlnyijdrlq table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#oncstbrtwi thead, #oncstbrtwi tbody, #oncstbrtwi tfoot, #oncstbrtwi tr, #oncstbrtwi td, #oncstbrtwi th {
+#mlnyijdrlq thead, #mlnyijdrlq tbody, #mlnyijdrlq tfoot, #mlnyijdrlq tr, #mlnyijdrlq td, #mlnyijdrlq th {
   border-style: none;
 }
 
-#oncstbrtwi p {
+#mlnyijdrlq p {
   margin: 0;
   padding: 0;
 }
 
-#oncstbrtwi .gt_table {
+#mlnyijdrlq .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -588,12 +588,12 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-left-color: #D3D3D3;
 }
 
-#oncstbrtwi .gt_caption {
+#mlnyijdrlq .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#oncstbrtwi .gt_title {
+#mlnyijdrlq .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -605,7 +605,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-bottom-width: 0;
 }
 
-#oncstbrtwi .gt_subtitle {
+#mlnyijdrlq .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -617,7 +617,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-top-width: 0;
 }
 
-#oncstbrtwi .gt_heading {
+#mlnyijdrlq .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -629,13 +629,13 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-right-color: #D3D3D3;
 }
 
-#oncstbrtwi .gt_bottom_border {
+#mlnyijdrlq .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#oncstbrtwi .gt_col_headings {
+#mlnyijdrlq .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -650,7 +650,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-right-color: #D3D3D3;
 }
 
-#oncstbrtwi .gt_col_heading {
+#mlnyijdrlq .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -670,7 +670,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   overflow-x: hidden;
 }
 
-#oncstbrtwi .gt_column_spanner_outer {
+#mlnyijdrlq .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -682,15 +682,15 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   padding-right: 4px;
 }
 
-#oncstbrtwi .gt_column_spanner_outer:first-child {
+#mlnyijdrlq .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#oncstbrtwi .gt_column_spanner_outer:last-child {
+#mlnyijdrlq .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#oncstbrtwi .gt_column_spanner {
+#mlnyijdrlq .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -702,11 +702,11 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   width: 100%;
 }
 
-#oncstbrtwi .gt_spanner_row {
+#mlnyijdrlq .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#oncstbrtwi .gt_group_heading {
+#mlnyijdrlq .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -732,7 +732,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   text-align: left;
 }
 
-#oncstbrtwi .gt_empty_group_heading {
+#mlnyijdrlq .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -747,15 +747,15 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   vertical-align: middle;
 }
 
-#oncstbrtwi .gt_from_md > :first-child {
+#mlnyijdrlq .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#oncstbrtwi .gt_from_md > :last-child {
+#mlnyijdrlq .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#oncstbrtwi .gt_row {
+#mlnyijdrlq .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -774,7 +774,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   overflow-x: hidden;
 }
 
-#oncstbrtwi .gt_stub {
+#mlnyijdrlq .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -787,7 +787,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   padding-right: 5px;
 }
 
-#oncstbrtwi .gt_stub_row_group {
+#mlnyijdrlq .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -801,15 +801,15 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   vertical-align: top;
 }
 
-#oncstbrtwi .gt_row_group_first td {
+#mlnyijdrlq .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#oncstbrtwi .gt_row_group_first th {
+#mlnyijdrlq .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#oncstbrtwi .gt_summary_row {
+#mlnyijdrlq .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -819,16 +819,16 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   padding-right: 5px;
 }
 
-#oncstbrtwi .gt_first_summary_row {
+#mlnyijdrlq .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#oncstbrtwi .gt_first_summary_row.thick {
+#mlnyijdrlq .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#oncstbrtwi .gt_last_summary_row {
+#mlnyijdrlq .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -838,7 +838,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#oncstbrtwi .gt_grand_summary_row {
+#mlnyijdrlq .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -848,7 +848,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   padding-right: 5px;
 }
 
-#oncstbrtwi .gt_first_grand_summary_row {
+#mlnyijdrlq .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -858,7 +858,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-top-color: #D3D3D3;
 }
 
-#oncstbrtwi .gt_last_grand_summary_row_top {
+#mlnyijdrlq .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -868,11 +868,11 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#oncstbrtwi .gt_striped {
+#mlnyijdrlq .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#oncstbrtwi .gt_table_body {
+#mlnyijdrlq .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -881,7 +881,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#oncstbrtwi .gt_footnotes {
+#mlnyijdrlq .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -895,7 +895,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-right-color: #D3D3D3;
 }
 
-#oncstbrtwi .gt_footnote {
+#mlnyijdrlq .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -904,7 +904,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   padding-right: 5px;
 }
 
-#oncstbrtwi .gt_sourcenotes {
+#mlnyijdrlq .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -918,7 +918,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-right-color: #D3D3D3;
 }
 
-#oncstbrtwi .gt_sourcenote {
+#mlnyijdrlq .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -926,63 +926,63 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   padding-right: 5px;
 }
 
-#oncstbrtwi .gt_left {
+#mlnyijdrlq .gt_left {
   text-align: left;
 }
 
-#oncstbrtwi .gt_center {
+#mlnyijdrlq .gt_center {
   text-align: center;
 }
 
-#oncstbrtwi .gt_right {
+#mlnyijdrlq .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#oncstbrtwi .gt_font_normal {
+#mlnyijdrlq .gt_font_normal {
   font-weight: normal;
 }
 
-#oncstbrtwi .gt_font_bold {
+#mlnyijdrlq .gt_font_bold {
   font-weight: bold;
 }
 
-#oncstbrtwi .gt_font_italic {
+#mlnyijdrlq .gt_font_italic {
   font-style: italic;
 }
 
-#oncstbrtwi .gt_super {
+#mlnyijdrlq .gt_super {
   font-size: 65%;
 }
 
-#oncstbrtwi .gt_footnote_marks {
+#mlnyijdrlq .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#oncstbrtwi .gt_asterisk {
+#mlnyijdrlq .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#oncstbrtwi .gt_indent_1 {
+#mlnyijdrlq .gt_indent_1 {
   text-indent: 5px;
 }
 
-#oncstbrtwi .gt_indent_2 {
+#mlnyijdrlq .gt_indent_2 {
   text-indent: 10px;
 }
 
-#oncstbrtwi .gt_indent_3 {
+#mlnyijdrlq .gt_indent_3 {
   text-indent: 15px;
 }
 
-#oncstbrtwi .gt_indent_4 {
+#mlnyijdrlq .gt_indent_4 {
   text-indent: 20px;
 }
 
-#oncstbrtwi .gt_indent_5 {
+#mlnyijdrlq .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -1034,23 +1034,23 @@ <h2>STEP 2: Fit linear model and examine results</h2>
 </div><div class="column fragment">
 <div class="cell-output-display">
 
-<div id="cjzhaaprzt" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#cjzhaaprzt table {
+<div id="mzwnwdmowr" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#mzwnwdmowr table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#cjzhaaprzt thead, #cjzhaaprzt tbody, #cjzhaaprzt tfoot, #cjzhaaprzt tr, #cjzhaaprzt td, #cjzhaaprzt th {
+#mzwnwdmowr thead, #mzwnwdmowr tbody, #mzwnwdmowr tfoot, #mzwnwdmowr tr, #mzwnwdmowr td, #mzwnwdmowr th {
   border-style: none;
 }
 
-#cjzhaaprzt p {
+#mzwnwdmowr p {
   margin: 0;
   padding: 0;
 }
 
-#cjzhaaprzt .gt_table {
+#mzwnwdmowr .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -1076,12 +1076,12 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-left-color: #D3D3D3;
 }
 
-#cjzhaaprzt .gt_caption {
+#mzwnwdmowr .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#cjzhaaprzt .gt_title {
+#mzwnwdmowr .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -1093,7 +1093,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-bottom-width: 0;
 }
 
-#cjzhaaprzt .gt_subtitle {
+#mzwnwdmowr .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -1105,7 +1105,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-top-width: 0;
 }
 
-#cjzhaaprzt .gt_heading {
+#mzwnwdmowr .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -1117,13 +1117,13 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-right-color: #D3D3D3;
 }
 
-#cjzhaaprzt .gt_bottom_border {
+#mzwnwdmowr .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#cjzhaaprzt .gt_col_headings {
+#mzwnwdmowr .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -1138,7 +1138,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-right-color: #D3D3D3;
 }
 
-#cjzhaaprzt .gt_col_heading {
+#mzwnwdmowr .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -1158,7 +1158,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   overflow-x: hidden;
 }
 
-#cjzhaaprzt .gt_column_spanner_outer {
+#mzwnwdmowr .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -1170,15 +1170,15 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   padding-right: 4px;
 }
 
-#cjzhaaprzt .gt_column_spanner_outer:first-child {
+#mzwnwdmowr .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#cjzhaaprzt .gt_column_spanner_outer:last-child {
+#mzwnwdmowr .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#cjzhaaprzt .gt_column_spanner {
+#mzwnwdmowr .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -1190,11 +1190,11 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   width: 100%;
 }
 
-#cjzhaaprzt .gt_spanner_row {
+#mzwnwdmowr .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#cjzhaaprzt .gt_group_heading {
+#mzwnwdmowr .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -1220,7 +1220,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   text-align: left;
 }
 
-#cjzhaaprzt .gt_empty_group_heading {
+#mzwnwdmowr .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -1235,15 +1235,15 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   vertical-align: middle;
 }
 
-#cjzhaaprzt .gt_from_md > :first-child {
+#mzwnwdmowr .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#cjzhaaprzt .gt_from_md > :last-child {
+#mzwnwdmowr .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#cjzhaaprzt .gt_row {
+#mzwnwdmowr .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -1262,7 +1262,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   overflow-x: hidden;
 }
 
-#cjzhaaprzt .gt_stub {
+#mzwnwdmowr .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -1275,7 +1275,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   padding-right: 5px;
 }
 
-#cjzhaaprzt .gt_stub_row_group {
+#mzwnwdmowr .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -1289,15 +1289,15 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   vertical-align: top;
 }
 
-#cjzhaaprzt .gt_row_group_first td {
+#mzwnwdmowr .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#cjzhaaprzt .gt_row_group_first th {
+#mzwnwdmowr .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#cjzhaaprzt .gt_summary_row {
+#mzwnwdmowr .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -1307,16 +1307,16 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   padding-right: 5px;
 }
 
-#cjzhaaprzt .gt_first_summary_row {
+#mzwnwdmowr .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#cjzhaaprzt .gt_first_summary_row.thick {
+#mzwnwdmowr .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#cjzhaaprzt .gt_last_summary_row {
+#mzwnwdmowr .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -1326,7 +1326,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#cjzhaaprzt .gt_grand_summary_row {
+#mzwnwdmowr .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -1336,7 +1336,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   padding-right: 5px;
 }
 
-#cjzhaaprzt .gt_first_grand_summary_row {
+#mzwnwdmowr .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -1346,7 +1346,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-top-color: #D3D3D3;
 }
 
-#cjzhaaprzt .gt_last_grand_summary_row_top {
+#mzwnwdmowr .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -1356,11 +1356,11 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#cjzhaaprzt .gt_striped {
+#mzwnwdmowr .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#cjzhaaprzt .gt_table_body {
+#mzwnwdmowr .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -1369,7 +1369,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#cjzhaaprzt .gt_footnotes {
+#mzwnwdmowr .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -1383,7 +1383,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-right-color: #D3D3D3;
 }
 
-#cjzhaaprzt .gt_footnote {
+#mzwnwdmowr .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -1392,7 +1392,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   padding-right: 5px;
 }
 
-#cjzhaaprzt .gt_sourcenotes {
+#mzwnwdmowr .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -1406,7 +1406,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-right-color: #D3D3D3;
 }
 
-#cjzhaaprzt .gt_sourcenote {
+#mzwnwdmowr .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -1414,63 +1414,63 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   padding-right: 5px;
 }
 
-#cjzhaaprzt .gt_left {
+#mzwnwdmowr .gt_left {
   text-align: left;
 }
 
-#cjzhaaprzt .gt_center {
+#mzwnwdmowr .gt_center {
   text-align: center;
 }
 
-#cjzhaaprzt .gt_right {
+#mzwnwdmowr .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#cjzhaaprzt .gt_font_normal {
+#mzwnwdmowr .gt_font_normal {
   font-weight: normal;
 }
 
-#cjzhaaprzt .gt_font_bold {
+#mzwnwdmowr .gt_font_bold {
   font-weight: bold;
 }
 
-#cjzhaaprzt .gt_font_italic {
+#mzwnwdmowr .gt_font_italic {
   font-style: italic;
 }
 
-#cjzhaaprzt .gt_super {
+#mzwnwdmowr .gt_super {
   font-size: 65%;
 }
 
-#cjzhaaprzt .gt_footnote_marks {
+#mzwnwdmowr .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#cjzhaaprzt .gt_asterisk {
+#mzwnwdmowr .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#cjzhaaprzt .gt_indent_1 {
+#mzwnwdmowr .gt_indent_1 {
   text-indent: 5px;
 }
 
-#cjzhaaprzt .gt_indent_2 {
+#mzwnwdmowr .gt_indent_2 {
   text-indent: 10px;
 }
 
-#cjzhaaprzt .gt_indent_3 {
+#mzwnwdmowr .gt_indent_3 {
   text-indent: 15px;
 }
 
-#cjzhaaprzt .gt_indent_4 {
+#mzwnwdmowr .gt_indent_4 {
   text-indent: 20px;
 }
 
-#cjzhaaprzt .gt_indent_5 {
+#mzwnwdmowr .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -1637,23 +1637,23 @@ <h2>Exceptions: mice with highest residuals</h2>
 <div class="cell">
 <div class="cell-output-display">
 
-<div id="qyvzsjxrak" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#qyvzsjxrak table {
+<div id="rnosytanbu" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#rnosytanbu table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#qyvzsjxrak thead, #qyvzsjxrak tbody, #qyvzsjxrak tfoot, #qyvzsjxrak tr, #qyvzsjxrak td, #qyvzsjxrak th {
+#rnosytanbu thead, #rnosytanbu tbody, #rnosytanbu tfoot, #rnosytanbu tr, #rnosytanbu td, #rnosytanbu th {
   border-style: none;
 }
 
-#qyvzsjxrak p {
+#rnosytanbu p {
   margin: 0;
   padding: 0;
 }
 
-#qyvzsjxrak .gt_table {
+#rnosytanbu .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -1679,12 +1679,12 @@ <h2>Exceptions: mice with highest residuals</h2>
   border-left-color: #D3D3D3;
 }
 
-#qyvzsjxrak .gt_caption {
+#rnosytanbu .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#qyvzsjxrak .gt_title {
+#rnosytanbu .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -1696,7 +1696,7 @@ <h2>Exceptions: mice with highest residuals</h2>
   border-bottom-width: 0;
 }
 
-#qyvzsjxrak .gt_subtitle {
+#rnosytanbu .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -1708,7 +1708,7 @@ <h2>Exceptions: mice with highest residuals</h2>
   border-top-width: 0;
 }
 
-#qyvzsjxrak .gt_heading {
+#rnosytanbu .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -1720,13 +1720,13 @@ <h2>Exceptions: mice with highest residuals</h2>
   border-right-color: #D3D3D3;
 }
 
-#qyvzsjxrak .gt_bottom_border {
+#rnosytanbu .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#qyvzsjxrak .gt_col_headings {
+#rnosytanbu .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -1741,7 +1741,7 @@ <h2>Exceptions: mice with highest residuals</h2>
   border-right-color: #D3D3D3;
 }
 
-#qyvzsjxrak .gt_col_heading {
+#rnosytanbu .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -1761,7 +1761,7 @@ <h2>Exceptions: mice with highest residuals</h2>
   overflow-x: hidden;
 }
 
-#qyvzsjxrak .gt_column_spanner_outer {
+#rnosytanbu .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -1773,15 +1773,15 @@ <h2>Exceptions: mice with highest residuals</h2>
   padding-right: 4px;
 }
 
-#qyvzsjxrak .gt_column_spanner_outer:first-child {
+#rnosytanbu .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#qyvzsjxrak .gt_column_spanner_outer:last-child {
+#rnosytanbu .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#qyvzsjxrak .gt_column_spanner {
+#rnosytanbu .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -1793,11 +1793,11 @@ <h2>Exceptions: mice with highest residuals</h2>
   width: 100%;
 }
 
-#qyvzsjxrak .gt_spanner_row {
+#rnosytanbu .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#qyvzsjxrak .gt_group_heading {
+#rnosytanbu .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -1823,7 +1823,7 @@ <h2>Exceptions: mice with highest residuals</h2>
   text-align: left;
 }
 
-#qyvzsjxrak .gt_empty_group_heading {
+#rnosytanbu .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -1838,15 +1838,15 @@ <h2>Exceptions: mice with highest residuals</h2>
   vertical-align: middle;
 }
 
-#qyvzsjxrak .gt_from_md > :first-child {
+#rnosytanbu .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#qyvzsjxrak .gt_from_md > :last-child {
+#rnosytanbu .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#qyvzsjxrak .gt_row {
+#rnosytanbu .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -1865,7 +1865,7 @@ <h2>Exceptions: mice with highest residuals</h2>
   overflow-x: hidden;
 }
 
-#qyvzsjxrak .gt_stub {
+#rnosytanbu .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -1878,7 +1878,7 @@ <h2>Exceptions: mice with highest residuals</h2>
   padding-right: 5px;
 }
 
-#qyvzsjxrak .gt_stub_row_group {
+#rnosytanbu .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -1892,15 +1892,15 @@ <h2>Exceptions: mice with highest residuals</h2>
   vertical-align: top;
 }
 
-#qyvzsjxrak .gt_row_group_first td {
+#rnosytanbu .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#qyvzsjxrak .gt_row_group_first th {
+#rnosytanbu .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#qyvzsjxrak .gt_summary_row {
+#rnosytanbu .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -1910,16 +1910,16 @@ <h2>Exceptions: mice with highest residuals</h2>
   padding-right: 5px;
 }
 
-#qyvzsjxrak .gt_first_summary_row {
+#rnosytanbu .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#qyvzsjxrak .gt_first_summary_row.thick {
+#rnosytanbu .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#qyvzsjxrak .gt_last_summary_row {
+#rnosytanbu .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -1929,7 +1929,7 @@ <h2>Exceptions: mice with highest residuals</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#qyvzsjxrak .gt_grand_summary_row {
+#rnosytanbu .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -1939,7 +1939,7 @@ <h2>Exceptions: mice with highest residuals</h2>
   padding-right: 5px;
 }
 
-#qyvzsjxrak .gt_first_grand_summary_row {
+#rnosytanbu .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -1949,7 +1949,7 @@ <h2>Exceptions: mice with highest residuals</h2>
   border-top-color: #D3D3D3;
 }
 
-#qyvzsjxrak .gt_last_grand_summary_row_top {
+#rnosytanbu .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -1959,11 +1959,11 @@ <h2>Exceptions: mice with highest residuals</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#qyvzsjxrak .gt_striped {
+#rnosytanbu .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#qyvzsjxrak .gt_table_body {
+#rnosytanbu .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -1972,7 +1972,7 @@ <h2>Exceptions: mice with highest residuals</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#qyvzsjxrak .gt_footnotes {
+#rnosytanbu .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -1986,7 +1986,7 @@ <h2>Exceptions: mice with highest residuals</h2>
   border-right-color: #D3D3D3;
 }
 
-#qyvzsjxrak .gt_footnote {
+#rnosytanbu .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -1995,7 +1995,7 @@ <h2>Exceptions: mice with highest residuals</h2>
   padding-right: 5px;
 }
 
-#qyvzsjxrak .gt_sourcenotes {
+#rnosytanbu .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -2009,7 +2009,7 @@ <h2>Exceptions: mice with highest residuals</h2>
   border-right-color: #D3D3D3;
 }
 
-#qyvzsjxrak .gt_sourcenote {
+#rnosytanbu .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -2017,63 +2017,63 @@ <h2>Exceptions: mice with highest residuals</h2>
   padding-right: 5px;
 }
 
-#qyvzsjxrak .gt_left {
+#rnosytanbu .gt_left {
   text-align: left;
 }
 
-#qyvzsjxrak .gt_center {
+#rnosytanbu .gt_center {
   text-align: center;
 }
 
-#qyvzsjxrak .gt_right {
+#rnosytanbu .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#qyvzsjxrak .gt_font_normal {
+#rnosytanbu .gt_font_normal {
   font-weight: normal;
 }
 
-#qyvzsjxrak .gt_font_bold {
+#rnosytanbu .gt_font_bold {
   font-weight: bold;
 }
 
-#qyvzsjxrak .gt_font_italic {
+#rnosytanbu .gt_font_italic {
   font-style: italic;
 }
 
-#qyvzsjxrak .gt_super {
+#rnosytanbu .gt_super {
   font-size: 65%;
 }
 
-#qyvzsjxrak .gt_footnote_marks {
+#rnosytanbu .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#qyvzsjxrak .gt_asterisk {
+#rnosytanbu .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#qyvzsjxrak .gt_indent_1 {
+#rnosytanbu .gt_indent_1 {
   text-indent: 5px;
 }
 
-#qyvzsjxrak .gt_indent_2 {
+#rnosytanbu .gt_indent_2 {
   text-indent: 10px;
 }
 
-#qyvzsjxrak .gt_indent_3 {
+#rnosytanbu .gt_indent_3 {
   text-indent: 15px;
 }
 
-#qyvzsjxrak .gt_indent_4 {
+#rnosytanbu .gt_indent_4 {
   text-indent: 20px;
 }
 
-#qyvzsjxrak .gt_indent_5 {
+#rnosytanbu .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -2203,23 +2203,23 @@ <h2>Let’s focus on just a few mice</h2>
 <div class="cell">
 <div class="cell-output-display">
 
-<div id="fdwtqxbnsx" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#fdwtqxbnsx table {
+<div id="flejahrvqr" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#flejahrvqr table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#fdwtqxbnsx thead, #fdwtqxbnsx tbody, #fdwtqxbnsx tfoot, #fdwtqxbnsx tr, #fdwtqxbnsx td, #fdwtqxbnsx th {
+#flejahrvqr thead, #flejahrvqr tbody, #flejahrvqr tfoot, #flejahrvqr tr, #flejahrvqr td, #flejahrvqr th {
   border-style: none;
 }
 
-#fdwtqxbnsx p {
+#flejahrvqr p {
   margin: 0;
   padding: 0;
 }
 
-#fdwtqxbnsx .gt_table {
+#flejahrvqr .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -2245,12 +2245,12 @@ <h2>Let’s focus on just a few mice</h2>
   border-left-color: #D3D3D3;
 }
 
-#fdwtqxbnsx .gt_caption {
+#flejahrvqr .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#fdwtqxbnsx .gt_title {
+#flejahrvqr .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -2262,7 +2262,7 @@ <h2>Let’s focus on just a few mice</h2>
   border-bottom-width: 0;
 }
 
-#fdwtqxbnsx .gt_subtitle {
+#flejahrvqr .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -2274,7 +2274,7 @@ <h2>Let’s focus on just a few mice</h2>
   border-top-width: 0;
 }
 
-#fdwtqxbnsx .gt_heading {
+#flejahrvqr .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -2286,13 +2286,13 @@ <h2>Let’s focus on just a few mice</h2>
   border-right-color: #D3D3D3;
 }
 
-#fdwtqxbnsx .gt_bottom_border {
+#flejahrvqr .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#fdwtqxbnsx .gt_col_headings {
+#flejahrvqr .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -2307,7 +2307,7 @@ <h2>Let’s focus on just a few mice</h2>
   border-right-color: #D3D3D3;
 }
 
-#fdwtqxbnsx .gt_col_heading {
+#flejahrvqr .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -2327,7 +2327,7 @@ <h2>Let’s focus on just a few mice</h2>
   overflow-x: hidden;
 }
 
-#fdwtqxbnsx .gt_column_spanner_outer {
+#flejahrvqr .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -2339,15 +2339,15 @@ <h2>Let’s focus on just a few mice</h2>
   padding-right: 4px;
 }
 
-#fdwtqxbnsx .gt_column_spanner_outer:first-child {
+#flejahrvqr .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#fdwtqxbnsx .gt_column_spanner_outer:last-child {
+#flejahrvqr .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#fdwtqxbnsx .gt_column_spanner {
+#flejahrvqr .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -2359,11 +2359,11 @@ <h2>Let’s focus on just a few mice</h2>
   width: 100%;
 }
 
-#fdwtqxbnsx .gt_spanner_row {
+#flejahrvqr .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#fdwtqxbnsx .gt_group_heading {
+#flejahrvqr .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -2389,7 +2389,7 @@ <h2>Let’s focus on just a few mice</h2>
   text-align: left;
 }
 
-#fdwtqxbnsx .gt_empty_group_heading {
+#flejahrvqr .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -2404,15 +2404,15 @@ <h2>Let’s focus on just a few mice</h2>
   vertical-align: middle;
 }
 
-#fdwtqxbnsx .gt_from_md > :first-child {
+#flejahrvqr .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#fdwtqxbnsx .gt_from_md > :last-child {
+#flejahrvqr .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#fdwtqxbnsx .gt_row {
+#flejahrvqr .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -2431,7 +2431,7 @@ <h2>Let’s focus on just a few mice</h2>
   overflow-x: hidden;
 }
 
-#fdwtqxbnsx .gt_stub {
+#flejahrvqr .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -2444,7 +2444,7 @@ <h2>Let’s focus on just a few mice</h2>
   padding-right: 5px;
 }
 
-#fdwtqxbnsx .gt_stub_row_group {
+#flejahrvqr .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -2458,15 +2458,15 @@ <h2>Let’s focus on just a few mice</h2>
   vertical-align: top;
 }
 
-#fdwtqxbnsx .gt_row_group_first td {
+#flejahrvqr .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#fdwtqxbnsx .gt_row_group_first th {
+#flejahrvqr .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#fdwtqxbnsx .gt_summary_row {
+#flejahrvqr .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -2476,16 +2476,16 @@ <h2>Let’s focus on just a few mice</h2>
   padding-right: 5px;
 }
 
-#fdwtqxbnsx .gt_first_summary_row {
+#flejahrvqr .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#fdwtqxbnsx .gt_first_summary_row.thick {
+#flejahrvqr .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#fdwtqxbnsx .gt_last_summary_row {
+#flejahrvqr .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -2495,7 +2495,7 @@ <h2>Let’s focus on just a few mice</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#fdwtqxbnsx .gt_grand_summary_row {
+#flejahrvqr .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -2505,7 +2505,7 @@ <h2>Let’s focus on just a few mice</h2>
   padding-right: 5px;
 }
 
-#fdwtqxbnsx .gt_first_grand_summary_row {
+#flejahrvqr .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -2515,7 +2515,7 @@ <h2>Let’s focus on just a few mice</h2>
   border-top-color: #D3D3D3;
 }
 
-#fdwtqxbnsx .gt_last_grand_summary_row_top {
+#flejahrvqr .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -2525,11 +2525,11 @@ <h2>Let’s focus on just a few mice</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#fdwtqxbnsx .gt_striped {
+#flejahrvqr .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#fdwtqxbnsx .gt_table_body {
+#flejahrvqr .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -2538,7 +2538,7 @@ <h2>Let’s focus on just a few mice</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#fdwtqxbnsx .gt_footnotes {
+#flejahrvqr .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -2552,7 +2552,7 @@ <h2>Let’s focus on just a few mice</h2>
   border-right-color: #D3D3D3;
 }
 
-#fdwtqxbnsx .gt_footnote {
+#flejahrvqr .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -2561,7 +2561,7 @@ <h2>Let’s focus on just a few mice</h2>
   padding-right: 5px;
 }
 
-#fdwtqxbnsx .gt_sourcenotes {
+#flejahrvqr .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -2575,7 +2575,7 @@ <h2>Let’s focus on just a few mice</h2>
   border-right-color: #D3D3D3;
 }
 
-#fdwtqxbnsx .gt_sourcenote {
+#flejahrvqr .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -2583,63 +2583,63 @@ <h2>Let’s focus on just a few mice</h2>
   padding-right: 5px;
 }
 
-#fdwtqxbnsx .gt_left {
+#flejahrvqr .gt_left {
   text-align: left;
 }
 
-#fdwtqxbnsx .gt_center {
+#flejahrvqr .gt_center {
   text-align: center;
 }
 
-#fdwtqxbnsx .gt_right {
+#flejahrvqr .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#fdwtqxbnsx .gt_font_normal {
+#flejahrvqr .gt_font_normal {
   font-weight: normal;
 }
 
-#fdwtqxbnsx .gt_font_bold {
+#flejahrvqr .gt_font_bold {
   font-weight: bold;
 }
 
-#fdwtqxbnsx .gt_font_italic {
+#flejahrvqr .gt_font_italic {
   font-style: italic;
 }
 
-#fdwtqxbnsx .gt_super {
+#flejahrvqr .gt_super {
   font-size: 65%;
 }
 
-#fdwtqxbnsx .gt_footnote_marks {
+#flejahrvqr .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#fdwtqxbnsx .gt_asterisk {
+#flejahrvqr .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#fdwtqxbnsx .gt_indent_1 {
+#flejahrvqr .gt_indent_1 {
   text-indent: 5px;
 }
 
-#fdwtqxbnsx .gt_indent_2 {
+#flejahrvqr .gt_indent_2 {
   text-indent: 10px;
 }
 
-#fdwtqxbnsx .gt_indent_3 {
+#flejahrvqr .gt_indent_3 {
   text-indent: 15px;
 }
 
-#fdwtqxbnsx .gt_indent_4 {
+#flejahrvqr .gt_indent_4 {
   text-indent: 20px;
 }
 
-#fdwtqxbnsx .gt_indent_5 {
+#flejahrvqr .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -2763,23 +2763,23 @@ <h2>Compare to traditional t-test</h2>
 </div><div class="column fragment">
 <div class="cell-output-display">
 
-<div id="xzvsgmtgpo" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#xzvsgmtgpo table {
+<div id="praukvdaes" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#praukvdaes table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#xzvsgmtgpo thead, #xzvsgmtgpo tbody, #xzvsgmtgpo tfoot, #xzvsgmtgpo tr, #xzvsgmtgpo td, #xzvsgmtgpo th {
+#praukvdaes thead, #praukvdaes tbody, #praukvdaes tfoot, #praukvdaes tr, #praukvdaes td, #praukvdaes th {
   border-style: none;
 }
 
-#xzvsgmtgpo p {
+#praukvdaes p {
   margin: 0;
   padding: 0;
 }
 
-#xzvsgmtgpo .gt_table {
+#praukvdaes .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -2805,12 +2805,12 @@ <h2>Compare to traditional t-test</h2>
   border-left-color: #D3D3D3;
 }
 
-#xzvsgmtgpo .gt_caption {
+#praukvdaes .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#xzvsgmtgpo .gt_title {
+#praukvdaes .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -2822,7 +2822,7 @@ <h2>Compare to traditional t-test</h2>
   border-bottom-width: 0;
 }
 
-#xzvsgmtgpo .gt_subtitle {
+#praukvdaes .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -2834,7 +2834,7 @@ <h2>Compare to traditional t-test</h2>
   border-top-width: 0;
 }
 
-#xzvsgmtgpo .gt_heading {
+#praukvdaes .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -2846,13 +2846,13 @@ <h2>Compare to traditional t-test</h2>
   border-right-color: #D3D3D3;
 }
 
-#xzvsgmtgpo .gt_bottom_border {
+#praukvdaes .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#xzvsgmtgpo .gt_col_headings {
+#praukvdaes .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -2867,7 +2867,7 @@ <h2>Compare to traditional t-test</h2>
   border-right-color: #D3D3D3;
 }
 
-#xzvsgmtgpo .gt_col_heading {
+#praukvdaes .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -2887,7 +2887,7 @@ <h2>Compare to traditional t-test</h2>
   overflow-x: hidden;
 }
 
-#xzvsgmtgpo .gt_column_spanner_outer {
+#praukvdaes .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -2899,15 +2899,15 @@ <h2>Compare to traditional t-test</h2>
   padding-right: 4px;
 }
 
-#xzvsgmtgpo .gt_column_spanner_outer:first-child {
+#praukvdaes .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#xzvsgmtgpo .gt_column_spanner_outer:last-child {
+#praukvdaes .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#xzvsgmtgpo .gt_column_spanner {
+#praukvdaes .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -2919,11 +2919,11 @@ <h2>Compare to traditional t-test</h2>
   width: 100%;
 }
 
-#xzvsgmtgpo .gt_spanner_row {
+#praukvdaes .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#xzvsgmtgpo .gt_group_heading {
+#praukvdaes .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -2949,7 +2949,7 @@ <h2>Compare to traditional t-test</h2>
   text-align: left;
 }
 
-#xzvsgmtgpo .gt_empty_group_heading {
+#praukvdaes .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -2964,15 +2964,15 @@ <h2>Compare to traditional t-test</h2>
   vertical-align: middle;
 }
 
-#xzvsgmtgpo .gt_from_md > :first-child {
+#praukvdaes .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#xzvsgmtgpo .gt_from_md > :last-child {
+#praukvdaes .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#xzvsgmtgpo .gt_row {
+#praukvdaes .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -2991,7 +2991,7 @@ <h2>Compare to traditional t-test</h2>
   overflow-x: hidden;
 }
 
-#xzvsgmtgpo .gt_stub {
+#praukvdaes .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -3004,7 +3004,7 @@ <h2>Compare to traditional t-test</h2>
   padding-right: 5px;
 }
 
-#xzvsgmtgpo .gt_stub_row_group {
+#praukvdaes .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -3018,15 +3018,15 @@ <h2>Compare to traditional t-test</h2>
   vertical-align: top;
 }
 
-#xzvsgmtgpo .gt_row_group_first td {
+#praukvdaes .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#xzvsgmtgpo .gt_row_group_first th {
+#praukvdaes .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#xzvsgmtgpo .gt_summary_row {
+#praukvdaes .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -3036,16 +3036,16 @@ <h2>Compare to traditional t-test</h2>
   padding-right: 5px;
 }
 
-#xzvsgmtgpo .gt_first_summary_row {
+#praukvdaes .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#xzvsgmtgpo .gt_first_summary_row.thick {
+#praukvdaes .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#xzvsgmtgpo .gt_last_summary_row {
+#praukvdaes .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -3055,7 +3055,7 @@ <h2>Compare to traditional t-test</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#xzvsgmtgpo .gt_grand_summary_row {
+#praukvdaes .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -3065,7 +3065,7 @@ <h2>Compare to traditional t-test</h2>
   padding-right: 5px;
 }
 
-#xzvsgmtgpo .gt_first_grand_summary_row {
+#praukvdaes .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -3075,7 +3075,7 @@ <h2>Compare to traditional t-test</h2>
   border-top-color: #D3D3D3;
 }
 
-#xzvsgmtgpo .gt_last_grand_summary_row_top {
+#praukvdaes .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -3085,11 +3085,11 @@ <h2>Compare to traditional t-test</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#xzvsgmtgpo .gt_striped {
+#praukvdaes .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#xzvsgmtgpo .gt_table_body {
+#praukvdaes .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -3098,7 +3098,7 @@ <h2>Compare to traditional t-test</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#xzvsgmtgpo .gt_footnotes {
+#praukvdaes .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -3112,7 +3112,7 @@ <h2>Compare to traditional t-test</h2>
   border-right-color: #D3D3D3;
 }
 
-#xzvsgmtgpo .gt_footnote {
+#praukvdaes .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -3121,7 +3121,7 @@ <h2>Compare to traditional t-test</h2>
   padding-right: 5px;
 }
 
-#xzvsgmtgpo .gt_sourcenotes {
+#praukvdaes .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -3135,7 +3135,7 @@ <h2>Compare to traditional t-test</h2>
   border-right-color: #D3D3D3;
 }
 
-#xzvsgmtgpo .gt_sourcenote {
+#praukvdaes .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -3143,63 +3143,63 @@ <h2>Compare to traditional t-test</h2>
   padding-right: 5px;
 }
 
-#xzvsgmtgpo .gt_left {
+#praukvdaes .gt_left {
   text-align: left;
 }
 
-#xzvsgmtgpo .gt_center {
+#praukvdaes .gt_center {
   text-align: center;
 }
 
-#xzvsgmtgpo .gt_right {
+#praukvdaes .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#xzvsgmtgpo .gt_font_normal {
+#praukvdaes .gt_font_normal {
   font-weight: normal;
 }
 
-#xzvsgmtgpo .gt_font_bold {
+#praukvdaes .gt_font_bold {
   font-weight: bold;
 }
 
-#xzvsgmtgpo .gt_font_italic {
+#praukvdaes .gt_font_italic {
   font-style: italic;
 }
 
-#xzvsgmtgpo .gt_super {
+#praukvdaes .gt_super {
   font-size: 65%;
 }
 
-#xzvsgmtgpo .gt_footnote_marks {
+#praukvdaes .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#xzvsgmtgpo .gt_asterisk {
+#praukvdaes .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#xzvsgmtgpo .gt_indent_1 {
+#praukvdaes .gt_indent_1 {
   text-indent: 5px;
 }
 
-#xzvsgmtgpo .gt_indent_2 {
+#praukvdaes .gt_indent_2 {
   text-indent: 10px;
 }
 
-#xzvsgmtgpo .gt_indent_3 {
+#praukvdaes .gt_indent_3 {
   text-indent: 15px;
 }
 
-#xzvsgmtgpo .gt_indent_4 {
+#praukvdaes .gt_indent_4 {
   text-indent: 20px;
 }
 
-#xzvsgmtgpo .gt_indent_5 {
+#praukvdaes .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -3236,23 +3236,23 @@ <h2>Compare to traditional t-test</h2>
 </div><div class="column fragment">
 <div class="cell-output-display">
 
-<div id="jyxfyfilyl" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#jyxfyfilyl table {
+<div id="meotauktos" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#meotauktos table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#jyxfyfilyl thead, #jyxfyfilyl tbody, #jyxfyfilyl tfoot, #jyxfyfilyl tr, #jyxfyfilyl td, #jyxfyfilyl th {
+#meotauktos thead, #meotauktos tbody, #meotauktos tfoot, #meotauktos tr, #meotauktos td, #meotauktos th {
   border-style: none;
 }
 
-#jyxfyfilyl p {
+#meotauktos p {
   margin: 0;
   padding: 0;
 }
 
-#jyxfyfilyl .gt_table {
+#meotauktos .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -3278,12 +3278,12 @@ <h2>Compare to traditional t-test</h2>
   border-left-color: #D3D3D3;
 }
 
-#jyxfyfilyl .gt_caption {
+#meotauktos .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#jyxfyfilyl .gt_title {
+#meotauktos .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -3295,7 +3295,7 @@ <h2>Compare to traditional t-test</h2>
   border-bottom-width: 0;
 }
 
-#jyxfyfilyl .gt_subtitle {
+#meotauktos .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -3307,7 +3307,7 @@ <h2>Compare to traditional t-test</h2>
   border-top-width: 0;
 }
 
-#jyxfyfilyl .gt_heading {
+#meotauktos .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -3319,13 +3319,13 @@ <h2>Compare to traditional t-test</h2>
   border-right-color: #D3D3D3;
 }
 
-#jyxfyfilyl .gt_bottom_border {
+#meotauktos .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#jyxfyfilyl .gt_col_headings {
+#meotauktos .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -3340,7 +3340,7 @@ <h2>Compare to traditional t-test</h2>
   border-right-color: #D3D3D3;
 }
 
-#jyxfyfilyl .gt_col_heading {
+#meotauktos .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -3360,7 +3360,7 @@ <h2>Compare to traditional t-test</h2>
   overflow-x: hidden;
 }
 
-#jyxfyfilyl .gt_column_spanner_outer {
+#meotauktos .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -3372,15 +3372,15 @@ <h2>Compare to traditional t-test</h2>
   padding-right: 4px;
 }
 
-#jyxfyfilyl .gt_column_spanner_outer:first-child {
+#meotauktos .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#jyxfyfilyl .gt_column_spanner_outer:last-child {
+#meotauktos .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#jyxfyfilyl .gt_column_spanner {
+#meotauktos .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -3392,11 +3392,11 @@ <h2>Compare to traditional t-test</h2>
   width: 100%;
 }
 
-#jyxfyfilyl .gt_spanner_row {
+#meotauktos .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#jyxfyfilyl .gt_group_heading {
+#meotauktos .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -3422,7 +3422,7 @@ <h2>Compare to traditional t-test</h2>
   text-align: left;
 }
 
-#jyxfyfilyl .gt_empty_group_heading {
+#meotauktos .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -3437,15 +3437,15 @@ <h2>Compare to traditional t-test</h2>
   vertical-align: middle;
 }
 
-#jyxfyfilyl .gt_from_md > :first-child {
+#meotauktos .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#jyxfyfilyl .gt_from_md > :last-child {
+#meotauktos .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#jyxfyfilyl .gt_row {
+#meotauktos .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -3464,7 +3464,7 @@ <h2>Compare to traditional t-test</h2>
   overflow-x: hidden;
 }
 
-#jyxfyfilyl .gt_stub {
+#meotauktos .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -3477,7 +3477,7 @@ <h2>Compare to traditional t-test</h2>
   padding-right: 5px;
 }
 
-#jyxfyfilyl .gt_stub_row_group {
+#meotauktos .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -3491,15 +3491,15 @@ <h2>Compare to traditional t-test</h2>
   vertical-align: top;
 }
 
-#jyxfyfilyl .gt_row_group_first td {
+#meotauktos .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#jyxfyfilyl .gt_row_group_first th {
+#meotauktos .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#jyxfyfilyl .gt_summary_row {
+#meotauktos .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -3509,16 +3509,16 @@ <h2>Compare to traditional t-test</h2>
   padding-right: 5px;
 }
 
-#jyxfyfilyl .gt_first_summary_row {
+#meotauktos .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#jyxfyfilyl .gt_first_summary_row.thick {
+#meotauktos .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#jyxfyfilyl .gt_last_summary_row {
+#meotauktos .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -3528,7 +3528,7 @@ <h2>Compare to traditional t-test</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#jyxfyfilyl .gt_grand_summary_row {
+#meotauktos .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -3538,7 +3538,7 @@ <h2>Compare to traditional t-test</h2>
   padding-right: 5px;
 }
 
-#jyxfyfilyl .gt_first_grand_summary_row {
+#meotauktos .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -3548,7 +3548,7 @@ <h2>Compare to traditional t-test</h2>
   border-top-color: #D3D3D3;
 }
 
-#jyxfyfilyl .gt_last_grand_summary_row_top {
+#meotauktos .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -3558,11 +3558,11 @@ <h2>Compare to traditional t-test</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#jyxfyfilyl .gt_striped {
+#meotauktos .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#jyxfyfilyl .gt_table_body {
+#meotauktos .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -3571,7 +3571,7 @@ <h2>Compare to traditional t-test</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#jyxfyfilyl .gt_footnotes {
+#meotauktos .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -3585,7 +3585,7 @@ <h2>Compare to traditional t-test</h2>
   border-right-color: #D3D3D3;
 }
 
-#jyxfyfilyl .gt_footnote {
+#meotauktos .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -3594,7 +3594,7 @@ <h2>Compare to traditional t-test</h2>
   padding-right: 5px;
 }
 
-#jyxfyfilyl .gt_sourcenotes {
+#meotauktos .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -3608,7 +3608,7 @@ <h2>Compare to traditional t-test</h2>
   border-right-color: #D3D3D3;
 }
 
-#jyxfyfilyl .gt_sourcenote {
+#meotauktos .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -3616,63 +3616,63 @@ <h2>Compare to traditional t-test</h2>
   padding-right: 5px;
 }
 
-#jyxfyfilyl .gt_left {
+#meotauktos .gt_left {
   text-align: left;
 }
 
-#jyxfyfilyl .gt_center {
+#meotauktos .gt_center {
   text-align: center;
 }
 
-#jyxfyfilyl .gt_right {
+#meotauktos .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#jyxfyfilyl .gt_font_normal {
+#meotauktos .gt_font_normal {
   font-weight: normal;
 }
 
-#jyxfyfilyl .gt_font_bold {
+#meotauktos .gt_font_bold {
   font-weight: bold;
 }
 
-#jyxfyfilyl .gt_font_italic {
+#meotauktos .gt_font_italic {
   font-style: italic;
 }
 
-#jyxfyfilyl .gt_super {
+#meotauktos .gt_super {
   font-size: 65%;
 }
 
-#jyxfyfilyl .gt_footnote_marks {
+#meotauktos .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#jyxfyfilyl .gt_asterisk {
+#meotauktos .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#jyxfyfilyl .gt_indent_1 {
+#meotauktos .gt_indent_1 {
   text-indent: 5px;
 }
 
-#jyxfyfilyl .gt_indent_2 {
+#meotauktos .gt_indent_2 {
   text-indent: 10px;
 }
 
-#jyxfyfilyl .gt_indent_3 {
+#meotauktos .gt_indent_3 {
   text-indent: 15px;
 }
 
-#jyxfyfilyl .gt_indent_4 {
+#meotauktos .gt_indent_4 {
   text-indent: 20px;
 }
 
-#jyxfyfilyl .gt_indent_5 {
+#meotauktos .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -3776,23 +3776,23 @@ <h2>STEP 2: Fit linear model and examine results</h2>
 </div><div class="column fragment">
 <div class="cell-output-display">
 
-<div id="dxfcqoxlwb" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#dxfcqoxlwb table {
+<div id="ohpprfnmav" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#ohpprfnmav table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#dxfcqoxlwb thead, #dxfcqoxlwb tbody, #dxfcqoxlwb tfoot, #dxfcqoxlwb tr, #dxfcqoxlwb td, #dxfcqoxlwb th {
+#ohpprfnmav thead, #ohpprfnmav tbody, #ohpprfnmav tfoot, #ohpprfnmav tr, #ohpprfnmav td, #ohpprfnmav th {
   border-style: none;
 }
 
-#dxfcqoxlwb p {
+#ohpprfnmav p {
   margin: 0;
   padding: 0;
 }
 
-#dxfcqoxlwb .gt_table {
+#ohpprfnmav .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -3818,12 +3818,12 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-left-color: #D3D3D3;
 }
 
-#dxfcqoxlwb .gt_caption {
+#ohpprfnmav .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#dxfcqoxlwb .gt_title {
+#ohpprfnmav .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -3835,7 +3835,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-bottom-width: 0;
 }
 
-#dxfcqoxlwb .gt_subtitle {
+#ohpprfnmav .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -3847,7 +3847,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-top-width: 0;
 }
 
-#dxfcqoxlwb .gt_heading {
+#ohpprfnmav .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -3859,13 +3859,13 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-right-color: #D3D3D3;
 }
 
-#dxfcqoxlwb .gt_bottom_border {
+#ohpprfnmav .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#dxfcqoxlwb .gt_col_headings {
+#ohpprfnmav .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -3880,7 +3880,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-right-color: #D3D3D3;
 }
 
-#dxfcqoxlwb .gt_col_heading {
+#ohpprfnmav .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -3900,7 +3900,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   overflow-x: hidden;
 }
 
-#dxfcqoxlwb .gt_column_spanner_outer {
+#ohpprfnmav .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -3912,15 +3912,15 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   padding-right: 4px;
 }
 
-#dxfcqoxlwb .gt_column_spanner_outer:first-child {
+#ohpprfnmav .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#dxfcqoxlwb .gt_column_spanner_outer:last-child {
+#ohpprfnmav .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#dxfcqoxlwb .gt_column_spanner {
+#ohpprfnmav .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -3932,11 +3932,11 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   width: 100%;
 }
 
-#dxfcqoxlwb .gt_spanner_row {
+#ohpprfnmav .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#dxfcqoxlwb .gt_group_heading {
+#ohpprfnmav .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -3962,7 +3962,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   text-align: left;
 }
 
-#dxfcqoxlwb .gt_empty_group_heading {
+#ohpprfnmav .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -3977,15 +3977,15 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   vertical-align: middle;
 }
 
-#dxfcqoxlwb .gt_from_md > :first-child {
+#ohpprfnmav .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#dxfcqoxlwb .gt_from_md > :last-child {
+#ohpprfnmav .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#dxfcqoxlwb .gt_row {
+#ohpprfnmav .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -4004,7 +4004,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   overflow-x: hidden;
 }
 
-#dxfcqoxlwb .gt_stub {
+#ohpprfnmav .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -4017,7 +4017,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   padding-right: 5px;
 }
 
-#dxfcqoxlwb .gt_stub_row_group {
+#ohpprfnmav .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -4031,15 +4031,15 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   vertical-align: top;
 }
 
-#dxfcqoxlwb .gt_row_group_first td {
+#ohpprfnmav .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#dxfcqoxlwb .gt_row_group_first th {
+#ohpprfnmav .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#dxfcqoxlwb .gt_summary_row {
+#ohpprfnmav .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -4049,16 +4049,16 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   padding-right: 5px;
 }
 
-#dxfcqoxlwb .gt_first_summary_row {
+#ohpprfnmav .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#dxfcqoxlwb .gt_first_summary_row.thick {
+#ohpprfnmav .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#dxfcqoxlwb .gt_last_summary_row {
+#ohpprfnmav .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -4068,7 +4068,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#dxfcqoxlwb .gt_grand_summary_row {
+#ohpprfnmav .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -4078,7 +4078,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   padding-right: 5px;
 }
 
-#dxfcqoxlwb .gt_first_grand_summary_row {
+#ohpprfnmav .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -4088,7 +4088,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-top-color: #D3D3D3;
 }
 
-#dxfcqoxlwb .gt_last_grand_summary_row_top {
+#ohpprfnmav .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -4098,11 +4098,11 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#dxfcqoxlwb .gt_striped {
+#ohpprfnmav .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#dxfcqoxlwb .gt_table_body {
+#ohpprfnmav .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -4111,7 +4111,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#dxfcqoxlwb .gt_footnotes {
+#ohpprfnmav .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -4125,7 +4125,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-right-color: #D3D3D3;
 }
 
-#dxfcqoxlwb .gt_footnote {
+#ohpprfnmav .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -4134,7 +4134,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   padding-right: 5px;
 }
 
-#dxfcqoxlwb .gt_sourcenotes {
+#ohpprfnmav .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -4148,7 +4148,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-right-color: #D3D3D3;
 }
 
-#dxfcqoxlwb .gt_sourcenote {
+#ohpprfnmav .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -4156,63 +4156,63 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   padding-right: 5px;
 }
 
-#dxfcqoxlwb .gt_left {
+#ohpprfnmav .gt_left {
   text-align: left;
 }
 
-#dxfcqoxlwb .gt_center {
+#ohpprfnmav .gt_center {
   text-align: center;
 }
 
-#dxfcqoxlwb .gt_right {
+#ohpprfnmav .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#dxfcqoxlwb .gt_font_normal {
+#ohpprfnmav .gt_font_normal {
   font-weight: normal;
 }
 
-#dxfcqoxlwb .gt_font_bold {
+#ohpprfnmav .gt_font_bold {
   font-weight: bold;
 }
 
-#dxfcqoxlwb .gt_font_italic {
+#ohpprfnmav .gt_font_italic {
   font-style: italic;
 }
 
-#dxfcqoxlwb .gt_super {
+#ohpprfnmav .gt_super {
   font-size: 65%;
 }
 
-#dxfcqoxlwb .gt_footnote_marks {
+#ohpprfnmav .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#dxfcqoxlwb .gt_asterisk {
+#ohpprfnmav .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#dxfcqoxlwb .gt_indent_1 {
+#ohpprfnmav .gt_indent_1 {
   text-indent: 5px;
 }
 
-#dxfcqoxlwb .gt_indent_2 {
+#ohpprfnmav .gt_indent_2 {
   text-indent: 10px;
 }
 
-#dxfcqoxlwb .gt_indent_3 {
+#ohpprfnmav .gt_indent_3 {
   text-indent: 15px;
 }
 
-#dxfcqoxlwb .gt_indent_4 {
+#ohpprfnmav .gt_indent_4 {
   text-indent: 20px;
 }
 
-#dxfcqoxlwb .gt_indent_5 {
+#ohpprfnmav .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -4264,23 +4264,23 @@ <h2>STEP 2: Fit linear model and examine results</h2>
 </div><div class="column fragment">
 <div class="cell-output-display">
 
-<div id="wqgkbjandp" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#wqgkbjandp table {
+<div id="pcfsemdojj" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#pcfsemdojj table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#wqgkbjandp thead, #wqgkbjandp tbody, #wqgkbjandp tfoot, #wqgkbjandp tr, #wqgkbjandp td, #wqgkbjandp th {
+#pcfsemdojj thead, #pcfsemdojj tbody, #pcfsemdojj tfoot, #pcfsemdojj tr, #pcfsemdojj td, #pcfsemdojj th {
   border-style: none;
 }
 
-#wqgkbjandp p {
+#pcfsemdojj p {
   margin: 0;
   padding: 0;
 }
 
-#wqgkbjandp .gt_table {
+#pcfsemdojj .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -4306,12 +4306,12 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-left-color: #D3D3D3;
 }
 
-#wqgkbjandp .gt_caption {
+#pcfsemdojj .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#wqgkbjandp .gt_title {
+#pcfsemdojj .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -4323,7 +4323,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-bottom-width: 0;
 }
 
-#wqgkbjandp .gt_subtitle {
+#pcfsemdojj .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -4335,7 +4335,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-top-width: 0;
 }
 
-#wqgkbjandp .gt_heading {
+#pcfsemdojj .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -4347,13 +4347,13 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-right-color: #D3D3D3;
 }
 
-#wqgkbjandp .gt_bottom_border {
+#pcfsemdojj .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#wqgkbjandp .gt_col_headings {
+#pcfsemdojj .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -4368,7 +4368,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-right-color: #D3D3D3;
 }
 
-#wqgkbjandp .gt_col_heading {
+#pcfsemdojj .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -4388,7 +4388,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   overflow-x: hidden;
 }
 
-#wqgkbjandp .gt_column_spanner_outer {
+#pcfsemdojj .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -4400,15 +4400,15 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   padding-right: 4px;
 }
 
-#wqgkbjandp .gt_column_spanner_outer:first-child {
+#pcfsemdojj .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#wqgkbjandp .gt_column_spanner_outer:last-child {
+#pcfsemdojj .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#wqgkbjandp .gt_column_spanner {
+#pcfsemdojj .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -4420,11 +4420,11 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   width: 100%;
 }
 
-#wqgkbjandp .gt_spanner_row {
+#pcfsemdojj .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#wqgkbjandp .gt_group_heading {
+#pcfsemdojj .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -4450,7 +4450,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   text-align: left;
 }
 
-#wqgkbjandp .gt_empty_group_heading {
+#pcfsemdojj .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -4465,15 +4465,15 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   vertical-align: middle;
 }
 
-#wqgkbjandp .gt_from_md > :first-child {
+#pcfsemdojj .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#wqgkbjandp .gt_from_md > :last-child {
+#pcfsemdojj .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#wqgkbjandp .gt_row {
+#pcfsemdojj .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -4492,7 +4492,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   overflow-x: hidden;
 }
 
-#wqgkbjandp .gt_stub {
+#pcfsemdojj .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -4505,7 +4505,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   padding-right: 5px;
 }
 
-#wqgkbjandp .gt_stub_row_group {
+#pcfsemdojj .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -4519,15 +4519,15 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   vertical-align: top;
 }
 
-#wqgkbjandp .gt_row_group_first td {
+#pcfsemdojj .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#wqgkbjandp .gt_row_group_first th {
+#pcfsemdojj .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#wqgkbjandp .gt_summary_row {
+#pcfsemdojj .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -4537,16 +4537,16 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   padding-right: 5px;
 }
 
-#wqgkbjandp .gt_first_summary_row {
+#pcfsemdojj .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#wqgkbjandp .gt_first_summary_row.thick {
+#pcfsemdojj .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#wqgkbjandp .gt_last_summary_row {
+#pcfsemdojj .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -4556,7 +4556,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#wqgkbjandp .gt_grand_summary_row {
+#pcfsemdojj .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -4566,7 +4566,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   padding-right: 5px;
 }
 
-#wqgkbjandp .gt_first_grand_summary_row {
+#pcfsemdojj .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -4576,7 +4576,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-top-color: #D3D3D3;
 }
 
-#wqgkbjandp .gt_last_grand_summary_row_top {
+#pcfsemdojj .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -4586,11 +4586,11 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#wqgkbjandp .gt_striped {
+#pcfsemdojj .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#wqgkbjandp .gt_table_body {
+#pcfsemdojj .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -4599,7 +4599,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#wqgkbjandp .gt_footnotes {
+#pcfsemdojj .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -4613,7 +4613,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-right-color: #D3D3D3;
 }
 
-#wqgkbjandp .gt_footnote {
+#pcfsemdojj .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -4622,7 +4622,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   padding-right: 5px;
 }
 
-#wqgkbjandp .gt_sourcenotes {
+#pcfsemdojj .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -4636,7 +4636,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-right-color: #D3D3D3;
 }
 
-#wqgkbjandp .gt_sourcenote {
+#pcfsemdojj .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -4644,63 +4644,63 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   padding-right: 5px;
 }
 
-#wqgkbjandp .gt_left {
+#pcfsemdojj .gt_left {
   text-align: left;
 }
 
-#wqgkbjandp .gt_center {
+#pcfsemdojj .gt_center {
   text-align: center;
 }
 
-#wqgkbjandp .gt_right {
+#pcfsemdojj .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#wqgkbjandp .gt_font_normal {
+#pcfsemdojj .gt_font_normal {
   font-weight: normal;
 }
 
-#wqgkbjandp .gt_font_bold {
+#pcfsemdojj .gt_font_bold {
   font-weight: bold;
 }
 
-#wqgkbjandp .gt_font_italic {
+#pcfsemdojj .gt_font_italic {
   font-style: italic;
 }
 
-#wqgkbjandp .gt_super {
+#pcfsemdojj .gt_super {
   font-size: 65%;
 }
 
-#wqgkbjandp .gt_footnote_marks {
+#pcfsemdojj .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#wqgkbjandp .gt_asterisk {
+#pcfsemdojj .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#wqgkbjandp .gt_indent_1 {
+#pcfsemdojj .gt_indent_1 {
   text-indent: 5px;
 }
 
-#wqgkbjandp .gt_indent_2 {
+#pcfsemdojj .gt_indent_2 {
   text-indent: 10px;
 }
 
-#wqgkbjandp .gt_indent_3 {
+#pcfsemdojj .gt_indent_3 {
   text-indent: 15px;
 }
 
-#wqgkbjandp .gt_indent_4 {
+#pcfsemdojj .gt_indent_4 {
   text-indent: 20px;
 }
 
-#wqgkbjandp .gt_indent_5 {
+#pcfsemdojj .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -4808,23 +4808,23 @@ <h2>Compare to traditional ANOVA</h2>
 </div><div class="column fragment">
 <div class="cell-output-display">
 
-<div id="pkbtrphkad" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#pkbtrphkad table {
+<div id="lwtctzophq" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#lwtctzophq table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#pkbtrphkad thead, #pkbtrphkad tbody, #pkbtrphkad tfoot, #pkbtrphkad tr, #pkbtrphkad td, #pkbtrphkad th {
+#lwtctzophq thead, #lwtctzophq tbody, #lwtctzophq tfoot, #lwtctzophq tr, #lwtctzophq td, #lwtctzophq th {
   border-style: none;
 }
 
-#pkbtrphkad p {
+#lwtctzophq p {
   margin: 0;
   padding: 0;
 }
 
-#pkbtrphkad .gt_table {
+#lwtctzophq .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -4850,12 +4850,12 @@ <h2>Compare to traditional ANOVA</h2>
   border-left-color: #D3D3D3;
 }
 
-#pkbtrphkad .gt_caption {
+#lwtctzophq .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#pkbtrphkad .gt_title {
+#lwtctzophq .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -4867,7 +4867,7 @@ <h2>Compare to traditional ANOVA</h2>
   border-bottom-width: 0;
 }
 
-#pkbtrphkad .gt_subtitle {
+#lwtctzophq .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -4879,7 +4879,7 @@ <h2>Compare to traditional ANOVA</h2>
   border-top-width: 0;
 }
 
-#pkbtrphkad .gt_heading {
+#lwtctzophq .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -4891,13 +4891,13 @@ <h2>Compare to traditional ANOVA</h2>
   border-right-color: #D3D3D3;
 }
 
-#pkbtrphkad .gt_bottom_border {
+#lwtctzophq .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#pkbtrphkad .gt_col_headings {
+#lwtctzophq .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -4912,7 +4912,7 @@ <h2>Compare to traditional ANOVA</h2>
   border-right-color: #D3D3D3;
 }
 
-#pkbtrphkad .gt_col_heading {
+#lwtctzophq .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -4932,7 +4932,7 @@ <h2>Compare to traditional ANOVA</h2>
   overflow-x: hidden;
 }
 
-#pkbtrphkad .gt_column_spanner_outer {
+#lwtctzophq .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -4944,15 +4944,15 @@ <h2>Compare to traditional ANOVA</h2>
   padding-right: 4px;
 }
 
-#pkbtrphkad .gt_column_spanner_outer:first-child {
+#lwtctzophq .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#pkbtrphkad .gt_column_spanner_outer:last-child {
+#lwtctzophq .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#pkbtrphkad .gt_column_spanner {
+#lwtctzophq .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -4964,11 +4964,11 @@ <h2>Compare to traditional ANOVA</h2>
   width: 100%;
 }
 
-#pkbtrphkad .gt_spanner_row {
+#lwtctzophq .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#pkbtrphkad .gt_group_heading {
+#lwtctzophq .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -4994,7 +4994,7 @@ <h2>Compare to traditional ANOVA</h2>
   text-align: left;
 }
 
-#pkbtrphkad .gt_empty_group_heading {
+#lwtctzophq .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -5009,15 +5009,15 @@ <h2>Compare to traditional ANOVA</h2>
   vertical-align: middle;
 }
 
-#pkbtrphkad .gt_from_md > :first-child {
+#lwtctzophq .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#pkbtrphkad .gt_from_md > :last-child {
+#lwtctzophq .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#pkbtrphkad .gt_row {
+#lwtctzophq .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -5036,7 +5036,7 @@ <h2>Compare to traditional ANOVA</h2>
   overflow-x: hidden;
 }
 
-#pkbtrphkad .gt_stub {
+#lwtctzophq .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -5049,7 +5049,7 @@ <h2>Compare to traditional ANOVA</h2>
   padding-right: 5px;
 }
 
-#pkbtrphkad .gt_stub_row_group {
+#lwtctzophq .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -5063,15 +5063,15 @@ <h2>Compare to traditional ANOVA</h2>
   vertical-align: top;
 }
 
-#pkbtrphkad .gt_row_group_first td {
+#lwtctzophq .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#pkbtrphkad .gt_row_group_first th {
+#lwtctzophq .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#pkbtrphkad .gt_summary_row {
+#lwtctzophq .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -5081,16 +5081,16 @@ <h2>Compare to traditional ANOVA</h2>
   padding-right: 5px;
 }
 
-#pkbtrphkad .gt_first_summary_row {
+#lwtctzophq .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#pkbtrphkad .gt_first_summary_row.thick {
+#lwtctzophq .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#pkbtrphkad .gt_last_summary_row {
+#lwtctzophq .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -5100,7 +5100,7 @@ <h2>Compare to traditional ANOVA</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#pkbtrphkad .gt_grand_summary_row {
+#lwtctzophq .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -5110,7 +5110,7 @@ <h2>Compare to traditional ANOVA</h2>
   padding-right: 5px;
 }
 
-#pkbtrphkad .gt_first_grand_summary_row {
+#lwtctzophq .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -5120,7 +5120,7 @@ <h2>Compare to traditional ANOVA</h2>
   border-top-color: #D3D3D3;
 }
 
-#pkbtrphkad .gt_last_grand_summary_row_top {
+#lwtctzophq .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -5130,11 +5130,11 @@ <h2>Compare to traditional ANOVA</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#pkbtrphkad .gt_striped {
+#lwtctzophq .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#pkbtrphkad .gt_table_body {
+#lwtctzophq .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -5143,7 +5143,7 @@ <h2>Compare to traditional ANOVA</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#pkbtrphkad .gt_footnotes {
+#lwtctzophq .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -5157,7 +5157,7 @@ <h2>Compare to traditional ANOVA</h2>
   border-right-color: #D3D3D3;
 }
 
-#pkbtrphkad .gt_footnote {
+#lwtctzophq .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -5166,7 +5166,7 @@ <h2>Compare to traditional ANOVA</h2>
   padding-right: 5px;
 }
 
-#pkbtrphkad .gt_sourcenotes {
+#lwtctzophq .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -5180,7 +5180,7 @@ <h2>Compare to traditional ANOVA</h2>
   border-right-color: #D3D3D3;
 }
 
-#pkbtrphkad .gt_sourcenote {
+#lwtctzophq .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -5188,63 +5188,63 @@ <h2>Compare to traditional ANOVA</h2>
   padding-right: 5px;
 }
 
-#pkbtrphkad .gt_left {
+#lwtctzophq .gt_left {
   text-align: left;
 }
 
-#pkbtrphkad .gt_center {
+#lwtctzophq .gt_center {
   text-align: center;
 }
 
-#pkbtrphkad .gt_right {
+#lwtctzophq .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#pkbtrphkad .gt_font_normal {
+#lwtctzophq .gt_font_normal {
   font-weight: normal;
 }
 
-#pkbtrphkad .gt_font_bold {
+#lwtctzophq .gt_font_bold {
   font-weight: bold;
 }
 
-#pkbtrphkad .gt_font_italic {
+#lwtctzophq .gt_font_italic {
   font-style: italic;
 }
 
-#pkbtrphkad .gt_super {
+#lwtctzophq .gt_super {
   font-size: 65%;
 }
 
-#pkbtrphkad .gt_footnote_marks {
+#lwtctzophq .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#pkbtrphkad .gt_asterisk {
+#lwtctzophq .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#pkbtrphkad .gt_indent_1 {
+#lwtctzophq .gt_indent_1 {
   text-indent: 5px;
 }
 
-#pkbtrphkad .gt_indent_2 {
+#lwtctzophq .gt_indent_2 {
   text-indent: 10px;
 }
 
-#pkbtrphkad .gt_indent_3 {
+#lwtctzophq .gt_indent_3 {
   text-indent: 15px;
 }
 
-#pkbtrphkad .gt_indent_4 {
+#lwtctzophq .gt_indent_4 {
   text-indent: 20px;
 }
 
-#pkbtrphkad .gt_indent_5 {
+#lwtctzophq .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -5285,23 +5285,23 @@ <h2>Compare to traditional ANOVA</h2>
 </div><div class="column fragment">
 <div class="cell-output-display">
 
-<div id="dvdirhfujj" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#dvdirhfujj table {
+<div id="mtdqguwyjb" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#mtdqguwyjb table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#dvdirhfujj thead, #dvdirhfujj tbody, #dvdirhfujj tfoot, #dvdirhfujj tr, #dvdirhfujj td, #dvdirhfujj th {
+#mtdqguwyjb thead, #mtdqguwyjb tbody, #mtdqguwyjb tfoot, #mtdqguwyjb tr, #mtdqguwyjb td, #mtdqguwyjb th {
   border-style: none;
 }
 
-#dvdirhfujj p {
+#mtdqguwyjb p {
   margin: 0;
   padding: 0;
 }
 
-#dvdirhfujj .gt_table {
+#mtdqguwyjb .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -5327,12 +5327,12 @@ <h2>Compare to traditional ANOVA</h2>
   border-left-color: #D3D3D3;
 }
 
-#dvdirhfujj .gt_caption {
+#mtdqguwyjb .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#dvdirhfujj .gt_title {
+#mtdqguwyjb .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -5344,7 +5344,7 @@ <h2>Compare to traditional ANOVA</h2>
   border-bottom-width: 0;
 }
 
-#dvdirhfujj .gt_subtitle {
+#mtdqguwyjb .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -5356,7 +5356,7 @@ <h2>Compare to traditional ANOVA</h2>
   border-top-width: 0;
 }
 
-#dvdirhfujj .gt_heading {
+#mtdqguwyjb .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -5368,13 +5368,13 @@ <h2>Compare to traditional ANOVA</h2>
   border-right-color: #D3D3D3;
 }
 
-#dvdirhfujj .gt_bottom_border {
+#mtdqguwyjb .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#dvdirhfujj .gt_col_headings {
+#mtdqguwyjb .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -5389,7 +5389,7 @@ <h2>Compare to traditional ANOVA</h2>
   border-right-color: #D3D3D3;
 }
 
-#dvdirhfujj .gt_col_heading {
+#mtdqguwyjb .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -5409,7 +5409,7 @@ <h2>Compare to traditional ANOVA</h2>
   overflow-x: hidden;
 }
 
-#dvdirhfujj .gt_column_spanner_outer {
+#mtdqguwyjb .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -5421,15 +5421,15 @@ <h2>Compare to traditional ANOVA</h2>
   padding-right: 4px;
 }
 
-#dvdirhfujj .gt_column_spanner_outer:first-child {
+#mtdqguwyjb .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#dvdirhfujj .gt_column_spanner_outer:last-child {
+#mtdqguwyjb .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#dvdirhfujj .gt_column_spanner {
+#mtdqguwyjb .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -5441,11 +5441,11 @@ <h2>Compare to traditional ANOVA</h2>
   width: 100%;
 }
 
-#dvdirhfujj .gt_spanner_row {
+#mtdqguwyjb .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#dvdirhfujj .gt_group_heading {
+#mtdqguwyjb .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -5471,7 +5471,7 @@ <h2>Compare to traditional ANOVA</h2>
   text-align: left;
 }
 
-#dvdirhfujj .gt_empty_group_heading {
+#mtdqguwyjb .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -5486,15 +5486,15 @@ <h2>Compare to traditional ANOVA</h2>
   vertical-align: middle;
 }
 
-#dvdirhfujj .gt_from_md > :first-child {
+#mtdqguwyjb .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#dvdirhfujj .gt_from_md > :last-child {
+#mtdqguwyjb .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#dvdirhfujj .gt_row {
+#mtdqguwyjb .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -5513,7 +5513,7 @@ <h2>Compare to traditional ANOVA</h2>
   overflow-x: hidden;
 }
 
-#dvdirhfujj .gt_stub {
+#mtdqguwyjb .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -5526,7 +5526,7 @@ <h2>Compare to traditional ANOVA</h2>
   padding-right: 5px;
 }
 
-#dvdirhfujj .gt_stub_row_group {
+#mtdqguwyjb .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -5540,15 +5540,15 @@ <h2>Compare to traditional ANOVA</h2>
   vertical-align: top;
 }
 
-#dvdirhfujj .gt_row_group_first td {
+#mtdqguwyjb .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#dvdirhfujj .gt_row_group_first th {
+#mtdqguwyjb .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#dvdirhfujj .gt_summary_row {
+#mtdqguwyjb .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -5558,16 +5558,16 @@ <h2>Compare to traditional ANOVA</h2>
   padding-right: 5px;
 }
 
-#dvdirhfujj .gt_first_summary_row {
+#mtdqguwyjb .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#dvdirhfujj .gt_first_summary_row.thick {
+#mtdqguwyjb .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#dvdirhfujj .gt_last_summary_row {
+#mtdqguwyjb .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -5577,7 +5577,7 @@ <h2>Compare to traditional ANOVA</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#dvdirhfujj .gt_grand_summary_row {
+#mtdqguwyjb .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -5587,7 +5587,7 @@ <h2>Compare to traditional ANOVA</h2>
   padding-right: 5px;
 }
 
-#dvdirhfujj .gt_first_grand_summary_row {
+#mtdqguwyjb .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -5597,7 +5597,7 @@ <h2>Compare to traditional ANOVA</h2>
   border-top-color: #D3D3D3;
 }
 
-#dvdirhfujj .gt_last_grand_summary_row_top {
+#mtdqguwyjb .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -5607,11 +5607,11 @@ <h2>Compare to traditional ANOVA</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#dvdirhfujj .gt_striped {
+#mtdqguwyjb .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#dvdirhfujj .gt_table_body {
+#mtdqguwyjb .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -5620,7 +5620,7 @@ <h2>Compare to traditional ANOVA</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#dvdirhfujj .gt_footnotes {
+#mtdqguwyjb .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -5634,7 +5634,7 @@ <h2>Compare to traditional ANOVA</h2>
   border-right-color: #D3D3D3;
 }
 
-#dvdirhfujj .gt_footnote {
+#mtdqguwyjb .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -5643,7 +5643,7 @@ <h2>Compare to traditional ANOVA</h2>
   padding-right: 5px;
 }
 
-#dvdirhfujj .gt_sourcenotes {
+#mtdqguwyjb .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -5657,7 +5657,7 @@ <h2>Compare to traditional ANOVA</h2>
   border-right-color: #D3D3D3;
 }
 
-#dvdirhfujj .gt_sourcenote {
+#mtdqguwyjb .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -5665,63 +5665,63 @@ <h2>Compare to traditional ANOVA</h2>
   padding-right: 5px;
 }
 
-#dvdirhfujj .gt_left {
+#mtdqguwyjb .gt_left {
   text-align: left;
 }
 
-#dvdirhfujj .gt_center {
+#mtdqguwyjb .gt_center {
   text-align: center;
 }
 
-#dvdirhfujj .gt_right {
+#mtdqguwyjb .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#dvdirhfujj .gt_font_normal {
+#mtdqguwyjb .gt_font_normal {
   font-weight: normal;
 }
 
-#dvdirhfujj .gt_font_bold {
+#mtdqguwyjb .gt_font_bold {
   font-weight: bold;
 }
 
-#dvdirhfujj .gt_font_italic {
+#mtdqguwyjb .gt_font_italic {
   font-style: italic;
 }
 
-#dvdirhfujj .gt_super {
+#mtdqguwyjb .gt_super {
   font-size: 65%;
 }
 
-#dvdirhfujj .gt_footnote_marks {
+#mtdqguwyjb .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#dvdirhfujj .gt_asterisk {
+#mtdqguwyjb .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#dvdirhfujj .gt_indent_1 {
+#mtdqguwyjb .gt_indent_1 {
   text-indent: 5px;
 }
 
-#dvdirhfujj .gt_indent_2 {
+#mtdqguwyjb .gt_indent_2 {
   text-indent: 10px;
 }
 
-#dvdirhfujj .gt_indent_3 {
+#mtdqguwyjb .gt_indent_3 {
   text-indent: 15px;
 }
 
-#dvdirhfujj .gt_indent_4 {
+#mtdqguwyjb .gt_indent_4 {
   text-indent: 20px;
 }
 
-#dvdirhfujj .gt_indent_5 {
+#mtdqguwyjb .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -5794,23 +5794,23 @@ <h2>STEP 2: Fit linear model and examine results</h2>
 <div class="cell fragment">
 <div class="cell-output-display">
 
-<div id="oditmrbujt" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#oditmrbujt table {
+<div id="nziqjvxkjx" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#nziqjvxkjx table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#oditmrbujt thead, #oditmrbujt tbody, #oditmrbujt tfoot, #oditmrbujt tr, #oditmrbujt td, #oditmrbujt th {
+#nziqjvxkjx thead, #nziqjvxkjx tbody, #nziqjvxkjx tfoot, #nziqjvxkjx tr, #nziqjvxkjx td, #nziqjvxkjx th {
   border-style: none;
 }
 
-#oditmrbujt p {
+#nziqjvxkjx p {
   margin: 0;
   padding: 0;
 }
 
-#oditmrbujt .gt_table {
+#nziqjvxkjx .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -5836,12 +5836,12 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-left-color: #D3D3D3;
 }
 
-#oditmrbujt .gt_caption {
+#nziqjvxkjx .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#oditmrbujt .gt_title {
+#nziqjvxkjx .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -5853,7 +5853,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-bottom-width: 0;
 }
 
-#oditmrbujt .gt_subtitle {
+#nziqjvxkjx .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -5865,7 +5865,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-top-width: 0;
 }
 
-#oditmrbujt .gt_heading {
+#nziqjvxkjx .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -5877,13 +5877,13 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-right-color: #D3D3D3;
 }
 
-#oditmrbujt .gt_bottom_border {
+#nziqjvxkjx .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#oditmrbujt .gt_col_headings {
+#nziqjvxkjx .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -5898,7 +5898,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-right-color: #D3D3D3;
 }
 
-#oditmrbujt .gt_col_heading {
+#nziqjvxkjx .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -5918,7 +5918,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   overflow-x: hidden;
 }
 
-#oditmrbujt .gt_column_spanner_outer {
+#nziqjvxkjx .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -5930,15 +5930,15 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   padding-right: 4px;
 }
 
-#oditmrbujt .gt_column_spanner_outer:first-child {
+#nziqjvxkjx .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#oditmrbujt .gt_column_spanner_outer:last-child {
+#nziqjvxkjx .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#oditmrbujt .gt_column_spanner {
+#nziqjvxkjx .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -5950,11 +5950,11 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   width: 100%;
 }
 
-#oditmrbujt .gt_spanner_row {
+#nziqjvxkjx .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#oditmrbujt .gt_group_heading {
+#nziqjvxkjx .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -5980,7 +5980,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   text-align: left;
 }
 
-#oditmrbujt .gt_empty_group_heading {
+#nziqjvxkjx .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -5995,15 +5995,15 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   vertical-align: middle;
 }
 
-#oditmrbujt .gt_from_md > :first-child {
+#nziqjvxkjx .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#oditmrbujt .gt_from_md > :last-child {
+#nziqjvxkjx .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#oditmrbujt .gt_row {
+#nziqjvxkjx .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -6022,7 +6022,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   overflow-x: hidden;
 }
 
-#oditmrbujt .gt_stub {
+#nziqjvxkjx .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -6035,7 +6035,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   padding-right: 5px;
 }
 
-#oditmrbujt .gt_stub_row_group {
+#nziqjvxkjx .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -6049,15 +6049,15 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   vertical-align: top;
 }
 
-#oditmrbujt .gt_row_group_first td {
+#nziqjvxkjx .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#oditmrbujt .gt_row_group_first th {
+#nziqjvxkjx .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#oditmrbujt .gt_summary_row {
+#nziqjvxkjx .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -6067,16 +6067,16 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   padding-right: 5px;
 }
 
-#oditmrbujt .gt_first_summary_row {
+#nziqjvxkjx .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#oditmrbujt .gt_first_summary_row.thick {
+#nziqjvxkjx .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#oditmrbujt .gt_last_summary_row {
+#nziqjvxkjx .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -6086,7 +6086,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#oditmrbujt .gt_grand_summary_row {
+#nziqjvxkjx .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -6096,7 +6096,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   padding-right: 5px;
 }
 
-#oditmrbujt .gt_first_grand_summary_row {
+#nziqjvxkjx .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -6106,7 +6106,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-top-color: #D3D3D3;
 }
 
-#oditmrbujt .gt_last_grand_summary_row_top {
+#nziqjvxkjx .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -6116,11 +6116,11 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#oditmrbujt .gt_striped {
+#nziqjvxkjx .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#oditmrbujt .gt_table_body {
+#nziqjvxkjx .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -6129,7 +6129,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#oditmrbujt .gt_footnotes {
+#nziqjvxkjx .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -6143,7 +6143,7 @@ <h2>STEP 2: Fit linear model and examine results</h2>
   border-right-color: #D3D3D3;
 }
 
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-  <meta name="dcterms.date" content="2023-09-23">
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 </div>
 
-  <p class="date">2023-09-23</p>
+  <p class="date">2023-09-24</p>
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 <section id="learning-objectives" class="slide level2">
 <h2>Learning objectives</h2>
diff --git a/slides/slides-16.html b/slides/slides-16.html
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-  <p class="date">2023-09-23</p>
+  <p class="date">2023-09-24</p>
 </section>
 <section id="final-projects" class="slide level2">
 <h2>Final Projects</h2>