From 53cf03c94c0ce95f351545f714b07e0225ec0239 Mon Sep 17 00:00:00 2001
From: Aki Vehtari <Aki.Vehtari@aalto.fi>
Date: Sun, 21 Feb 2021 20:35:34 +0200
Subject: [PATCH] update errata and site_libs

---
 R_visualizaton.html                     | 115 ++++++--------
 errata.Rmd                              |   6 +-
 errata.html                             | 193 ++++++++++--------------
 examples.html                           | 157 ++++++++-----------
 index.html                              | 129 ++++++----------
 site_libs/navigation-1.1/codefolding.js |   4 +-
 site_libs/tocify-1.9.1/jquery.tocify.js |   2 +-
 7 files changed, 231 insertions(+), 375 deletions(-)

diff --git a/R_visualizaton.html b/R_visualizaton.html
index 42afdc53..4e2617c2 100644
--- a/R_visualizaton.html
+++ b/R_visualizaton.html
@@ -20,16 +20,29 @@
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 <script src="site_libs/bootstrap-3.3.5/shim/html5shiv.min.js"></script>
 <script src="site_libs/bootstrap-3.3.5/shim/respond.min.js"></script>
+<style>h1 {font-size: 34px;}
+       h1.title {font-size: 38px;}
+       h2 {font-size: 30px;}
+       h3 {font-size: 24px;}
+       h4 {font-size: 18px;}
+       h5 {font-size: 16px;}
+       h6 {font-size: 12px;}
+       code {color: inherit; background-color: rgba(0, 0, 0, 0.04);}
+       pre:not([class]) { background-color: white }</style>
 <script src="site_libs/navigation-1.1/tabsets.js"></script>
 <link href="site_libs/highlightjs-9.12.0/default.css" rel="stylesheet" />
 <script src="site_libs/highlightjs-9.12.0/highlight.js"></script>
 
-<style type="text/css">code{white-space: pre;}</style>
 <style type="text/css">
-  pre:not([class]) {
-    background-color: white;
-  }
-</style>
+  code{white-space: pre-wrap;}
+  span.smallcaps{font-variant: small-caps;}
+  span.underline{text-decoration: underline;}
+  div.column{display: inline-block; vertical-align: top; width: 50%;}
+  div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
+  ul.task-list{list-style: none;}
+    </style>
+
+<style type="text/css">code{white-space: pre;}</style>
 <script type="text/javascript">
 if (window.hljs) {
   hljs.configure({languages: []});
@@ -42,32 +55,7 @@
 
 
 
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-  font-size: 12px;
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-.table th:not([align]) {
-  text-align: left;
-}
-</style>
+
 
 
 
@@ -78,10 +66,6 @@
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   margin-right: auto;
 }
-code {
-  color: inherit;
-  background-color: rgba(0, 0, 0, 0.04);
-}
 img {
   max-width:100%;
 }
@@ -97,40 +81,13 @@
 summary {
   display: list-item;
 }
+pre code {
+  padding: 0;
+}
 </style>
 
 
 <style type="text/css">
-/* padding for bootstrap navbar */
-body {
-  padding-top: 66px;
-  padding-bottom: 40px;
-}
-/* offset scroll position for anchor links (for fixed navbar)  */
-.section h1 {
-  padding-top: 71px;
-  margin-top: -71px;
-}
-.section h2 {
-  padding-top: 71px;
-  margin-top: -71px;
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-.section h3 {
-  padding-top: 71px;
-  margin-top: -71px;
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-  padding-top: 71px;
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-  padding-top: 71px;
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-.section h6 {
-  padding-top: 71px;
-  margin-top: -71px;
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 .dropdown-submenu {
   position: relative;
 }
@@ -158,7 +115,7 @@
   margin-right: -10px;
 }
 .dropdown-submenu:hover>a:after {
-  border-left-color: #ffffff;
+  border-left-color: #adb5bd;
 }
 .dropdown-submenu.pull-left {
   float: none;
@@ -170,7 +127,7 @@
 }
 </style>
 
-<script>
+<script type="text/javascript">
 // manage active state of menu based on current page
 $(document).ready(function () {
   // active menu anchor
@@ -181,10 +138,23 @@
   var menuAnchor = $('a[href="' + href + '"]');
 
   // mark it active
-  menuAnchor.parent().addClass('active');
+  menuAnchor.tab('show');
 
   // if it's got a parent navbar menu mark it active as well
   menuAnchor.closest('li.dropdown').addClass('active');
+
+  // Navbar adjustments
+  var navHeight = $(".navbar").first().height() + 15;
+  var style = document.createElement('style');
+  var pt = "padding-top: " + navHeight + "px; ";
+  var mt = "margin-top: -" + navHeight + "px; ";
+  var css = "";
+  // offset scroll position for anchor links (for fixed navbar)
+  for (var i = 1; i <= 6; i++) {
+    css += ".section h" + i + "{ " + pt + mt + "}\n";
+  }
+  style.innerHTML = "body {" + pt + "padding-bottom: 40px; }\n" + css;
+  document.head.appendChild(style);
 });
 </script>
 
@@ -196,7 +166,6 @@
   max-height: 500px;
   min-height: 44px;
   overflow-y: auto;
-  background: white;
   border: 1px solid #ddd;
   border-radius: 4px;
 }
@@ -292,13 +261,13 @@
   </div><!--/.container -->
 </div><!--/.navbar -->
 
-<div class="fluid-row" id="header">
+<div id="header">
 
 
 
 <h1 class="title toc-ignore">Regression and Other Stories - R and visualization</h1>
 <h4 class="author">Andrew Gelman, Jennifer Hill, Aki Vehtari</h4>
-<h4 class="date">Page updated: 2020-09-06</h4>
+<h4 class="date">Page updated: 2021-02-11</h4>
 
 </div>
 
@@ -335,7 +304,7 @@ <h2>R programming and visualization with R</h2>
 
 // add bootstrap table styles to pandoc tables
 function bootstrapStylePandocTables() {
-  $('tr.header').parent('thead').parent('table').addClass('table table-condensed');
+  $('tr.odd').parent('tbody').parent('table').addClass('table table-condensed');
 }
 $(document).ready(function () {
   bootstrapStylePandocTables();
@@ -353,7 +322,7 @@ <h2>R programming and visualization with R</h2>
 
 $(document).ready(function () {
   $('.tabset-dropdown > .nav-tabs > li').click(function () {
-    $(this).parent().toggleClass('nav-tabs-open')
+    $(this).parent().toggleClass('nav-tabs-open');
   });
 });
 </script>
diff --git a/errata.Rmd b/errata.Rmd
index 045f8334..83698e2c 100644
--- a/errata.Rmd
+++ b/errata.Rmd
@@ -28,6 +28,7 @@ If you notice an error that is not mentioned in the errata below, submit an issu
 - p. 83, Fig 6.1 "y = 0.49 + 0.27 * x" $\rightarrow$ "y = 0.4 + 0.27 * x"
 - p. 83, Fig 6.2 Estimate for $\sigma$ should be 0.49 (not 0.43)
 - p. 84, "which returns the value R^2 = 0.10, meaning that the linear model accounts for only 9% of the variance". The "9%" should be "10%".
+- p. 105, just before Maximum likelihood section "see Exercise 7.1" $\rightarrow$ "see Exercise 8.1" (thanks to Jacob Warren)
 - p. 116, the correct code should have `y_linpred <- a + b*as.numeric(new)` and `y_pred <- a + b*as.numeric(new) + rnorm(n_sims, 0, sigma)` (thanks to Nathan Hoffmann)
 - p. 128, "Do Exercise 3.8" $\rightarrow$ "Do Exercise 4.8" (thanks to Omri Har-Shemesh and Juliette Unwin)
 - p. 131, "the average or expected difference in outcome $y_k$" $\rightarrow$ "... $y$" (thanks to Yoav Kessler)
@@ -45,12 +46,15 @@ If you notice an error that is not mentioned in the errata below, submit an issu
 - p. 219, "The inverse logistic function is curved" $\rightarrow$ "The inverse logit function is curved" (thanks to VicentModesto)
 - p. 241-242, in paragraphs starting "The steps go..." and "Figure 14.2...": $(4.0/4.1)x_1$ $\rightarrow$ $(4.4/4.1)x_1$ (thanks to Doug Davidson)
 - p. 288, Chapter 15 Bibliographic note is missing the reference to the RiskyBehavior data: "The HIV risk data (RiskyBehavior) used in exercises comes fromcomes from El-Bassel et al (2003)." Full reference: El-Bassel, N., Witte, S. S., Gilbert, L., Wu, E., Chang, M., Hill, J., and Steinglass, P. (2003). The efficacy of a relationship-based HIV/STD prevention program for heterosexual couples. *American Journal of Public Health*, **93**, 963–969.
-- p. 314, Following Equation (17.1) "... did not include enough Republicans." $\rightarrow$ "... included too many Democrats." (thanks to misterblister)
+- p. 314, Following Equation (17.1) "... did not include enough Republicans." $\rightarrow$ "... included too many Democrats." (thanks to Mark Fisher)
 - p. 316, Figure 17.2 the values in the column $N_j/N$ should be $0.16, 0.17, 0.19, 0.17, 0.16, 0.15$ as in the code on the same page. (thanks to Noah Silbert)
 - p. 344, "...Figure 18.1 yields a naive estimated treatment effect of -12.5." $\rightarrow$ "...Figure 18.1 yields a naive estimated treatment effect of +12.5." (thanks to Michael McLaren)
 - p. 345, "difference in means, $155-147.5$" $\rightarrow$ "difference in means, $147.5 - 155$" (thanks to Michael McLaren)
+- p. 345, at the bottom "More to the point, the $y_i^0$'s are 140, 140, 150, and 170 in the *control* group and 150, 160, 160, and 170 in the *treatment* group." $\rightarrow$ "More to the point, the $y_i^0$'s are 140, 140, 150, and 170 in the *treatment* group and 
+150, 160, 160, and 170 in the *control* group." (thanks to Ravi Shroff)
 - p. 371, "in Figure 19.4a" $\rightarrow$ "in Figure 19.4b" (thanks to Kenneth Tay)
 - p. 385, equation number (20.1) should be for the second equation on the page $y_i = \beta^*_0 + \beta^*_1z_i + \epsilon^*_i$ (thanks to Matěj Grabovsky)
+- p. 397, last line, in the standard error equation 1738 $\rightarrow$ 1820, 789 $\rightarrow$ 837, and 1.01 $\rightarrow$ 1.04 (thanks to Matěj Grabovsky)
 - p. 435, equation 21.7: "$\beta_2 *\mbox{math pre-test}_i$" $\rightarrow$ "$\beta_3 *\mbox{math pre-test}_i$" (thanks to Zhengchen Cai)
 - p. 447, "populations homogeneous in $w_i$" $\rightarrow$ "populations homogeneous in $x_i$" (thanks to Kenneth Tay)
 
diff --git a/errata.html b/errata.html
index 0b29aaca..2f46cc90 100644
--- a/errata.html
+++ b/errata.html
@@ -20,14 +20,21 @@
 <script src="site_libs/bootstrap-3.3.5/js/bootstrap.min.js"></script>
 <script src="site_libs/bootstrap-3.3.5/shim/html5shiv.min.js"></script>
 <script src="site_libs/bootstrap-3.3.5/shim/respond.min.js"></script>
+<style>h1 {font-size: 34px;}
+       h1.title {font-size: 38px;}
+       h2 {font-size: 30px;}
+       h3 {font-size: 24px;}
+       h4 {font-size: 18px;}
+       h5 {font-size: 16px;}
+       h6 {font-size: 12px;}
+       code {color: inherit; background-color: rgba(0, 0, 0, 0.04);}
+       pre:not([class]) { background-color: white }</style>
 <script src="site_libs/jqueryui-1.11.4/jquery-ui.min.js"></script>
 <link href="site_libs/tocify-1.9.1/jquery.tocify.css" rel="stylesheet" />
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 <link href="site_libs/highlightjs-9.12.0/default.css" rel="stylesheet" />
 <script src="site_libs/highlightjs-9.12.0/highlight.js"></script>
-<link href="site_libs/anchor-sections-1.0/anchor-sections.css" rel="stylesheet" />
-<script src="site_libs/anchor-sections-1.0/anchor-sections.js"></script>
 
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@@ -39,11 +46,6 @@
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-  pre:not([class]) {
-    background-color: white;
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 <script type="text/javascript">
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@@ -56,32 +58,7 @@
 
 
 
-<style type="text/css">
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-h6 {
-  font-size: 12px;
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-.table th:not([align]) {
-  text-align: left;
-}
-</style>
+
 
 
 
@@ -92,10 +69,6 @@
   margin-left: auto;
   margin-right: auto;
 }
-code {
-  color: inherit;
-  background-color: rgba(0, 0, 0, 0.04);
-}
 img {
   max-width:100%;
 }
@@ -111,40 +84,13 @@
 summary {
   display: list-item;
 }
+pre code {
+  padding: 0;
+}
 </style>
 
 
 <style type="text/css">
-/* padding for bootstrap navbar */
-body {
-  padding-top: 66px;
-  padding-bottom: 40px;
-}
-/* offset scroll position for anchor links (for fixed navbar)  */
-.section h1 {
-  padding-top: 71px;
-  margin-top: -71px;
-}
-.section h2 {
-  padding-top: 71px;
-  margin-top: -71px;
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-.section h3 {
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-.section h6 {
-  padding-top: 71px;
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   position: relative;
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@@ -172,7 +118,7 @@
   margin-right: -10px;
 }
 .dropdown-submenu:hover>a:after {
-  border-left-color: #ffffff;
+  border-left-color: #adb5bd;
 }
 .dropdown-submenu.pull-left {
   float: none;
@@ -184,7 +130,7 @@
 }
 </style>
 
-<script>
+<script type="text/javascript">
 // manage active state of menu based on current page
 $(document).ready(function () {
   // active menu anchor
@@ -195,10 +141,23 @@
   var menuAnchor = $('a[href="' + href + '"]');
 
   // mark it active
-  menuAnchor.parent().addClass('active');
+  menuAnchor.tab('show');
 
   // if it's got a parent navbar menu mark it active as well
   menuAnchor.closest('li.dropdown').addClass('active');
+
+  // Navbar adjustments
+  var navHeight = $(".navbar").first().height() + 15;
+  var style = document.createElement('style');
+  var pt = "padding-top: " + navHeight + "px; ";
+  var mt = "margin-top: -" + navHeight + "px; ";
+  var css = "";
+  // offset scroll position for anchor links (for fixed navbar)
+  for (var i = 1; i <= 6; i++) {
+    css += ".section h" + i + "{ " + pt + mt + "}\n";
+  }
+  style.innerHTML = "body {" + pt + "padding-bottom: 40px; }\n" + css;
+  document.head.appendChild(style);
 });
 </script>
 
@@ -210,7 +169,6 @@
   max-height: 500px;
   min-height: 44px;
   overflow-y: auto;
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   border: 1px solid #ddd;
   border-radius: 4px;
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@@ -336,13 +294,13 @@
 
 
 <!-- setup 3col/9col grid for toc_float and main content  -->
-<div class="row-fluid">
-<div class="col-xs-12 col-sm-4 col-md-3">
+<div class="row">
+<div class="col-sm-12 col-md-4 col-lg-3">
 <div id="TOC" class="tocify">
 </div>
 </div>
 
-<div class="toc-content col-xs-12 col-sm-8 col-md-9">
+<div class="toc-content col-sm-12 col-md-8 col-lg-9">
 
 
 
@@ -379,13 +337,13 @@
   </div><!--/.container -->
 </div><!--/.navbar -->
 
-<div class="fluid-row" id="header">
+<div id="header">
 
 
 
 <h1 class="title toc-ignore">Regression and Other Stories - Errata</h1>
 <h4 class="author">Andrew Gelman, Jennifer Hill, Aki Vehtari</h4>
-<h4 class="date">Page updated: 2020-12-19</h4>
+<h4 class="date">Page updated: 2021-02-21</h4>
 
 </div>
 
@@ -396,45 +354,48 @@ <h4 class="date">Page updated: 2020-12-19</h4>
 <div id="st-2020-printing" class="section level2">
 <h2>1st (2020) printing</h2>
 <ul>
-<li>p. 11, the summary of the treatment-control comparison says &quot;the treated units were 4.8 points higher than the controls, <span class="math inline">\(\bar{y} = 31.7\)</span> under the treatment and <span class="math inline">\(\bar{y} = 25.5\)</span> for the controls.&quot; The difference in shown means is 6.2 and not 4.8. Not that these values change when rerunning the simulation. (thanks Desislava Petkova)</li>
-<li>p. 15, &quot;multiplicative factor; see Exercise 3.8.&quot; <span class="math inline">\(\rightarrow\)</span> &quot;multiplicative factor; see Exercise 4.8.&quot; (thanks to Omri Har-Shemesh and Juliette Unwin)</li>
-<li>p. 39, in the second sentence of the first full paragraph, &quot;Figure 3.4 displays data on log metabolic rate vs. body mass indicating...&quot; <span class="math inline">\(\rightarrow\)</span> &quot;log metabolic rate vs. log body mass&quot; (thanks Ravi Shroff)</li>
-<li>p. 39, &quot;The slope of the line is then 7.4/10 = 7.4.&quot; <span class="math inline">\(\rightarrow\)</span> &quot;The slope of the line is then 7.4/10 = 0.74.&quot; (thanks to Jacob Warren)</li>
-<li>p. 42, the last line, in &quot;Linear transformations&quot; section &quot;Exercise 3.5&quot; <span class="math inline">\(\rightarrow\)</span> &quot;Exercise 3.6&quot;. (thanks Ed Berry)</li>
-<li>p. 43, &quot;<span class="math inline">\(\sigma_a,\sigma_b\)</span>&quot; <span class="math inline">\(\rightarrow\)</span> <span class="math inline">\(\sigma_u,\sigma_v\)</span> (thanks to Braden Scherting)</li>
-<li>p. 46, &quot;exactly 10 000 votes&quot; <span class="math inline">\(\rightarrow\)</span> &quot;exactly 100 000 votes&quot; (thanks to Gal Matijevic)</li>
-<li>p. 54, in &quot;Comparisons, visual and numerical&quot; subsection, &quot;Figure 4.2&quot; in the first sentence should be &quot;Figure 4.3.&quot; (thanks Ravi Shroff)</li>
-<li>p. 55, <code>se_weighted_avg &lt;- sqrt(sum(W*se)^2)</code> <span class="math inline">\(\rightarrow\)</span> <code>se_weighted_avg &lt;- sqrt(sum((W*se)^2))</code> (thanks to Desislava Petkova)</li>
-<li>p. 57, last line: <code>n_C+n_T, 2</code> <span class="math inline">\(\rightarrow\)</span> <code>n_C+n_T-2</code> (thanks Justin Reppert)</li>
-<li>p. 61, &quot;<span class="math inline">\(T(y;\phi(y))\)</span>, for <span class="math inline">\(j = 1,\dots, J\)</span>&quot; <span class="math inline">\(\rightarrow\)</span> &quot;<span class="math inline">\(T(y;\phi_j(y))\)</span>, for <span class="math inline">\(j = 1,\dots, J\)</span>&quot; (thanks to Kenneth Tay)</li>
-<li>p. 73, <code>1.483*median(abs(y - median(z)))</code> <span class="math inline">\(\rightarrow\)</span> 1.483*median(abs(z - median(z)))</li>
-<li>p. 73, <code>quantile(z, 0.25, 0.75)</code> <span class="math inline">\(\rightarrow\)</span> quantile(z, c(0.25, 0.75)) and <code>quantile(z, 0.025, 0.975)</code> <span class="math inline">\(\rightarrow\)</span> quantile(z, c(0.025, 0.975)) (thanks to Justin Reppert)</li>
-<li>p. 83, Fig 6.1 &quot;y = 0.49 + 0.27 * x&quot; <span class="math inline">\(\rightarrow\)</span> &quot;y = 0.4 + 0.27 * x&quot;</li>
-<li>p. 83, Fig 6.2 Estimate for <span class="math inline">\(\sigma\)</span> should be 0.49 (not 0.43)</li>
-<li>p. 84, &quot;which returns the value R^2 = 0.10, meaning that the linear model accounts for only 9% of the variance&quot;. The &quot;9%&quot; should be &quot;10%&quot;.</li>
-<li>p. 116, the correct code should have <code>y_linpred &lt;- a + b*as.numeric(new)</code> and <code>y_pred &lt;- a + b*as.numeric(new) + rnorm(n_sims, 0, sigma)</code> (thanks to Nathan Hoffmann)</li>
-<li>p. 128, &quot;Do Exercise 3.8&quot; <span class="math inline">\(\rightarrow\)</span> &quot;Do Exercise 4.8&quot; (thanks to Omri Har-Shemesh and Juliette Unwin)</li>
-<li>p. 131, &quot;the average or expected difference in outcome <span class="math inline">\(y_k\)</span>&quot; <span class="math inline">\(\rightarrow\)</span> &quot;... <span class="math inline">\(y\)</span>&quot; (thanks to Yoav Kessler)</li>
-<li>p. 143, the correct values for mean and sd in the last column of Figure 10.7 are 260.1 and 2.5 (thanks to Eam O'Brien)</li>
-<li>p. 143, 3rd line from bottom the correct values for mean and sd mentioned in the text are 260.1 and 2.5 (thanks to Eam O'Brien)</li>
-<li>p. 159, &quot;as in Figure 11.2&quot; <span class="math inline">\(\rightarrow\)</span> &quot;as in Figure 11.3&quot; (thanks to Eam O'Brien)</li>
-<li>p. 174, &quot;and so the log score is <span class="math inline">\(-\frac{1}{2}\log\sigma\)</span>&quot; <span class="math inline">\(\rightarrow\)</span> &quot;and so the log score is <span class="math inline">\(-\log\sigma\)</span>&quot; (thanks to Matěj Grabovsky)</li>
-<li>p. 179, <code>fit_2 &lt;- update(fit_2, prior=hs())</code> <span class="math inline">\(\rightarrow\)</span> <code>fit_2 &lt;- update(fit_1, prior=hs())</code> (thanks to Omri Har-Shemesh)</li>
-<li>p. 183, <span class="math inline">\(\$1600* 3.8=\$63* 97=\$101\,000\,000* 0.000\,060=\$610\)</span> <span class="math inline">\(\rightarrow\)</span> <span class="math inline">\(\$1600* 3.8=\$63* 97=\$101\,000\,000* 0.000\,060=\$6100\)</span> (thanks to Ravi Shroff)</li>
-<li>p. 208, <code>/sqrt(0.3*26)</code> <span class="math inline">\(\rightarrow\)</span> <code>*sqrt(0.3/26)</code> (this is correct in the code in the web page, typo fix in the book thanks to Eugenia Migliavacca)</li>
-<li><p>p. 208, Figure 12.11 all top row subplots show the prior distribution for the regularized horseshoe prior. The correct subplot are produced by the R code in <a href="https://avehtari.github.io/ROS-Examples/Student/student.html">Student example</a> and shown below (thanks to Zhengchen Cai for reporting the issue) <img src="Figure_12_11_correct.png" width="800" /></p></li>
-<li>p. 217, First line in section 13.1 &quot;The logistic function, logit(x)&quot; <span class="math inline">\(\rightarrow\)</span> &quot;The logit function, logit(x)&quot; (thanks to VicentModesto)</li>
-<li>p. 219, &quot;The inverse logistic function is curved&quot; <span class="math inline">\(\rightarrow\)</span> &quot;The inverse logit function is curved&quot; (thanks to VicentModesto)</li>
-<li>p. 241-242, in paragraphs starting &quot;The steps go...&quot; and &quot;Figure 14.2...&quot;: <span class="math inline">\((4.0/4.1)x_1\)</span> <span class="math inline">\(\rightarrow\)</span> <span class="math inline">\((4.4/4.1)x_1\)</span> (thanks to Doug Davidson)</li>
-<li>p. 288, Chapter 15 Bibliographic note is missing the reference to the RiskyBehavior data: &quot;The HIV risk data (RiskyBehavior) used in exercises comes fromcomes from El-Bassel et al (2003).&quot; Full reference: El-Bassel, N., Witte, S. S., Gilbert, L., Wu, E., Chang, M., Hill, J., and Steinglass, P. (2003). The efficacy of a relationship-based HIV/STD prevention program for heterosexual couples. <em>American Journal of Public Health</em>, <strong>93</strong>, 963–969.</li>
-<li>p. 314, Following Equation (17.1) &quot;... did not include enough Republicans.&quot; <span class="math inline">\(\rightarrow\)</span> &quot;... included too many Democrats.&quot; (thanks to misterblister)</li>
-<li>p. 316, Figure 17.2 the values in the column <span class="math inline">\(N_j/N\)</span> should be <span class="math inline">\(0.16, 0.17, 0.19, 0.17, 0.16, 0.15\)</span> as in the code on the same page. (thanks to Noah Silbert)</li>
-<li>p. 344, &quot;...Figure 18.1 yields a naive estimated treatment effect of -12.5.&quot; <span class="math inline">\(\rightarrow\)</span> &quot;...Figure 18.1 yields a naive estimated treatment effect of +12.5.&quot; (thanks to Michael McLaren)</li>
-<li>p. 345, &quot;difference in means, <span class="math inline">\(155-147.5\)</span>&quot; <span class="math inline">\(\rightarrow\)</span> &quot;difference in means, <span class="math inline">\(147.5 - 155\)</span>&quot; (thanks to Michael McLaren)</li>
-<li>p. 371, &quot;in Figure 19.4a&quot; <span class="math inline">\(\rightarrow\)</span> &quot;in Figure 19.4b&quot; (thanks to Kenneth Tay)</li>
-<li>p. 385, equation number (20.1) should be for the second equation on the page <span class="math inline">\(y_i = \beta^*_0 + \beta^*_1z_i + \epsilon^*_i\)</span> (thanks to Matěj Grabovsky)</li>
-<li>p. 435, equation 21.7: &quot;<span class="math inline">\(\beta_2 *\mbox{math pre-test}_i\)</span>&quot; <span class="math inline">\(\rightarrow\)</span> &quot;<span class="math inline">\(\beta_3 *\mbox{math pre-test}_i\)</span>&quot; (thanks to Zhengchen Cai)</li>
-<li><p>p. 447, &quot;populations homogeneous in <span class="math inline">\(w_i\)</span>&quot; <span class="math inline">\(\rightarrow\)</span> &quot;populations homogeneous in <span class="math inline">\(x_i\)</span>&quot; (thanks to Kenneth Tay)</p></li>
+<li>p. 11, the summary of the treatment-control comparison says “the treated units were 4.8 points higher than the controls, <span class="math inline">\(\bar{y} = 31.7\)</span> under the treatment and <span class="math inline">\(\bar{y} = 25.5\)</span> for the controls.” The difference in shown means is 6.2 and not 4.8. Not that these values change when rerunning the simulation. (thanks Desislava Petkova)</li>
+<li>p. 15, “multiplicative factor; see Exercise 3.8.” <span class="math inline">\(\rightarrow\)</span> “multiplicative factor; see Exercise 4.8.” (thanks to Omri Har-Shemesh and Juliette Unwin)</li>
+<li>p. 39, in the second sentence of the first full paragraph, “Figure 3.4 displays data on log metabolic rate vs. body mass indicating…” <span class="math inline">\(\rightarrow\)</span> “log metabolic rate vs. log body mass” (thanks Ravi Shroff)</li>
+<li>p. 39, “The slope of the line is then 7.4/10 = 7.4.” <span class="math inline">\(\rightarrow\)</span> “The slope of the line is then 7.4/10 = 0.74.” (thanks to Jacob Warren)</li>
+<li>p. 42, the last line, in “Linear transformations” section “Exercise 3.5” <span class="math inline">\(\rightarrow\)</span> “Exercise 3.6”. (thanks Ed Berry)</li>
+<li>p. 43, “<span class="math inline">\(\sigma_a,\sigma_b\)</span>” <span class="math inline">\(\rightarrow\)</span> <span class="math inline">\(\sigma_u,\sigma_v\)</span> (thanks to Braden Scherting)</li>
+<li>p. 46, “exactly 10 000 votes” <span class="math inline">\(\rightarrow\)</span> “exactly 100 000 votes” (thanks to Gal Matijevic)</li>
+<li>p. 54, in “Comparisons, visual and numerical” subsection, “Figure 4.2” in the first sentence should be “Figure 4.3.” (thanks Ravi Shroff)</li>
+<li>p. 55, <code>se_weighted_avg &lt;- sqrt(sum(W*se)^2)</code> <span class="math inline">\(\rightarrow\)</span> <code>se_weighted_avg &lt;- sqrt(sum((W*se)^2))</code> (thanks to Desislava Petkova)</li>
+<li>p. 57, last line: <code>n_C+n_T, 2</code> <span class="math inline">\(\rightarrow\)</span> <code>n_C+n_T-2</code> (thanks Justin Reppert)</li>
+<li>p. 61, “<span class="math inline">\(T(y;\phi(y))\)</span>, for <span class="math inline">\(j = 1,\dots, J\)</span>” <span class="math inline">\(\rightarrow\)</span> “<span class="math inline">\(T(y;\phi_j(y))\)</span>, for <span class="math inline">\(j = 1,\dots, J\)</span>” (thanks to Kenneth Tay)</li>
+<li>p. 73, <code>1.483*median(abs(y - median(z)))</code> <span class="math inline">\(\rightarrow\)</span> 1.483*median(abs(z - median(z)))</li>
+<li>p. 73, <code>quantile(z, 0.25, 0.75)</code> <span class="math inline">\(\rightarrow\)</span> quantile(z, c(0.25, 0.75)) and <code>quantile(z, 0.025, 0.975)</code> <span class="math inline">\(\rightarrow\)</span> quantile(z, c(0.025, 0.975)) (thanks to Justin Reppert)</li>
+<li>p. 83, Fig 6.1 “y = 0.49 + 0.27 * x” <span class="math inline">\(\rightarrow\)</span> “y = 0.4 + 0.27 * x”</li>
+<li>p. 83, Fig 6.2 Estimate for <span class="math inline">\(\sigma\)</span> should be 0.49 (not 0.43)</li>
+<li>p. 84, “which returns the value R^2 = 0.10, meaning that the linear model accounts for only 9% of the variance”. The “9%” should be “10%”.</li>
+<li>p. 105, just before Maximum likelihood section “see Exercise 7.1” <span class="math inline">\(\rightarrow\)</span> “see Exercise 8.1” (thanks to Jacob Warren)</li>
+<li>p. 116, the correct code should have <code>y_linpred &lt;- a + b*as.numeric(new)</code> and <code>y_pred &lt;- a + b*as.numeric(new) + rnorm(n_sims, 0, sigma)</code> (thanks to Nathan Hoffmann)</li>
+<li>p. 128, “Do Exercise 3.8” <span class="math inline">\(\rightarrow\)</span> “Do Exercise 4.8” (thanks to Omri Har-Shemesh and Juliette Unwin)</li>
+<li>p. 131, “the average or expected difference in outcome <span class="math inline">\(y_k\)</span>” <span class="math inline">\(\rightarrow\)</span> “… <span class="math inline">\(y\)</span>” (thanks to Yoav Kessler)</li>
+<li>p. 143, the correct values for mean and sd in the last column of Figure 10.7 are 260.1 and 2.5 (thanks to Eam O’Brien)</li>
+<li>p. 143, 3rd line from bottom the correct values for mean and sd mentioned in the text are 260.1 and 2.5 (thanks to Eam O’Brien)</li>
+<li>p. 159, “as in Figure 11.2” <span class="math inline">\(\rightarrow\)</span> “as in Figure 11.3” (thanks to Eam O’Brien)</li>
+<li>p. 174, “and so the log score is <span class="math inline">\(-\frac{1}{2}\log\sigma\)</span>” <span class="math inline">\(\rightarrow\)</span> “and so the log score is <span class="math inline">\(-\log\sigma\)</span>” (thanks to Matěj Grabovsky)</li>
+<li>p. 179, <code>fit_2 &lt;- update(fit_2, prior=hs())</code> <span class="math inline">\(\rightarrow\)</span> <code>fit_2 &lt;- update(fit_1, prior=hs())</code> (thanks to Omri Har-Shemesh)</li>
+<li>p. 183, <span class="math inline">\(\$1600* 3.8=\$63* 97=\$101\,000\,000* 0.000\,060=\$610\)</span> <span class="math inline">\(\rightarrow\)</span> <span class="math inline">\(\$1600* 3.8=\$63* 97=\$101\,000\,000* 0.000\,060=\$6100\)</span> (thanks to Ravi Shroff)</li>
+<li>p. 208, <code>/sqrt(0.3*26)</code> <span class="math inline">\(\rightarrow\)</span> <code>*sqrt(0.3/26)</code> (this is correct in the code in the web page, typo fix in the book thanks to Eugenia Migliavacca)</li>
+<li><p>p. 208, Figure 12.11 all top row subplots show the prior distribution for the regularized horseshoe prior. The correct subplot are produced by the R code in <a href="https://avehtari.github.io/ROS-Examples/Student/student.html">Student example</a> and shown below (thanks to Zhengchen Cai for reporting the issue) <img src="Figure_12_11_correct.png" width="800" /></p></li>
+<li>p. 217, First line in section 13.1 “The logistic function, logit(x)” <span class="math inline">\(\rightarrow\)</span> “The logit function, logit(x)” (thanks to VicentModesto)</li>
+<li>p. 219, “The inverse logistic function is curved” <span class="math inline">\(\rightarrow\)</span> “The inverse logit function is curved” (thanks to VicentModesto)</li>
+<li>p. 241-242, in paragraphs starting “The steps go…” and “Figure 14.2…”: <span class="math inline">\((4.0/4.1)x_1\)</span> <span class="math inline">\(\rightarrow\)</span> <span class="math inline">\((4.4/4.1)x_1\)</span> (thanks to Doug Davidson)</li>
+<li>p. 288, Chapter 15 Bibliographic note is missing the reference to the RiskyBehavior data: “The HIV risk data (RiskyBehavior) used in exercises comes fromcomes from El-Bassel et al (2003).” Full reference: El-Bassel, N., Witte, S. S., Gilbert, L., Wu, E., Chang, M., Hill, J., and Steinglass, P. (2003). The efficacy of a relationship-based HIV/STD prevention program for heterosexual couples. <em>American Journal of Public Health</em>, <strong>93</strong>, 963–969.</li>
+<li>p. 314, Following Equation (17.1) “… did not include enough Republicans.” <span class="math inline">\(\rightarrow\)</span> “… included too many Democrats.” (thanks to Mark Fisher)</li>
+<li>p. 316, Figure 17.2 the values in the column <span class="math inline">\(N_j/N\)</span> should be <span class="math inline">\(0.16, 0.17, 0.19, 0.17, 0.16, 0.15\)</span> as in the code on the same page. (thanks to Noah Silbert)</li>
+<li>p. 344, “…Figure 18.1 yields a naive estimated treatment effect of -12.5.” <span class="math inline">\(\rightarrow\)</span> “…Figure 18.1 yields a naive estimated treatment effect of +12.5.” (thanks to Michael McLaren)</li>
+<li>p. 345, “difference in means, <span class="math inline">\(155-147.5\)</span>” <span class="math inline">\(\rightarrow\)</span> “difference in means, <span class="math inline">\(147.5 - 155\)</span>” (thanks to Michael McLaren)</li>
+<li>p. 345, at the bottom “More to the point, the <span class="math inline">\(y_i^0\)</span>’s are 140, 140, 150, and 170 in the <em>control</em> group and 150, 160, 160, and 170 in the <em>treatment</em> group.” <span class="math inline">\(\rightarrow\)</span> “More to the point, the <span class="math inline">\(y_i^0\)</span>’s are 140, 140, 150, and 170 in the <em>treatment</em> group and 150, 160, 160, and 170 in the <em>control</em> group.” (thanks to Ravi Shroff)</li>
+<li>p. 371, “in Figure 19.4a” <span class="math inline">\(\rightarrow\)</span> “in Figure 19.4b” (thanks to Kenneth Tay)</li>
+<li>p. 385, equation number (20.1) should be for the second equation on the page <span class="math inline">\(y_i = \beta^*_0 + \beta^*_1z_i + \epsilon^*_i\)</span> (thanks to Matěj Grabovsky)</li>
+<li>p. 397, last line, in the standard error equation 1738 <span class="math inline">\(\rightarrow\)</span> 1820, 789 <span class="math inline">\(\rightarrow\)</span> 837, and 1.01 <span class="math inline">\(\rightarrow\)</span> 1.04 (thanks to Matěj Grabovsky)</li>
+<li>p. 435, equation 21.7: “<span class="math inline">\(\beta_2 *\mbox{math pre-test}_i\)</span>” <span class="math inline">\(\rightarrow\)</span> “<span class="math inline">\(\beta_3 *\mbox{math pre-test}_i\)</span>” (thanks to Zhengchen Cai)</li>
+<li><p>p. 447, “populations homogeneous in <span class="math inline">\(w_i\)</span>” <span class="math inline">\(\rightarrow\)</span> “populations homogeneous in <span class="math inline">\(x_i\)</span>” (thanks to Kenneth Tay)</p></li>
 </ul>
 <hr />
 </div>
@@ -468,7 +429,7 @@ <h2>1st (2020) printing</h2>
 
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   $('.tabset-dropdown > .nav-tabs > li').click(function () {
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+  div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
+  ul.task-list{list-style: none;}
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+
+<style type="text/css">code{white-space: pre;}</style>
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-<div class="fluid-row" id="header">
+<div id="header">
 
 
 
 <h1 class="title toc-ignore">Regression and Other Stories - Examples</h1>
 <h4 class="author">Andrew Gelman, Jennifer Hill, Aki Vehtari</h4>
-<h4 class="date">Page updated: 2020-09-06</h4>
+<h4 class="date">Page updated: 2021-02-11</h4>
 
 </div>
 
@@ -386,7 +355,7 @@ <h2>Introduction</h2>
 <li>The code and data are provided to fully reproduce the examples and figurs in the book. They can be a good way to see what the code does. Different people have different styles of code. The code here is not supposed to be a model. The statistical analyses and graphs in the book are intended to be models for good practice, but the code here is meant to be simple with minimal dependencies.</li>
 <li><p>For R programming basics see Appendix A of Regression and Other Stories. If you want to learn more, see our recommendations for <a href="R_visualizaton.html">R programming and visualization with R</a>.</p></li>
 <li>The folders below (ending /) point to the code (.R and .Rmd) and <code>data</code> folders (.csv or .txt) in github, and .html -files point to knitted notebooks.</li>
-<li><p>Most examples have cleaned data in .csv file in <code>data</code> subfolder for easy experimenting. For completeness and reproducibility, the data subfolders have also the raw data and <code>*_setup.R</code> file showing how the data pre-processing has been done (to do the exercises and follow along with the examples, you don't need to worry about the setup code).</p></li>
+<li><p>Most examples have cleaned data in .csv file in <code>data</code> subfolder for easy experimenting. For completeness and reproducibility, the data subfolders have also the raw data and <code>*_setup.R</code> file showing how the data pre-processing has been done (to do the exercises and follow along with the examples, you don’t need to worry about the setup code).</p></li>
 </ul>
 <hr />
 </div>
@@ -401,7 +370,7 @@ <h3>1 Introduction</h3>
 </ul></li>
 <li><a href="https://github.com/avehtari/ROS-Examples/tree/master/ElectricCompany/">ElectricCompany/</a>
 <ul>
-<li><a href="ElectricCompany/electric.html">electric.html</a> - Analysis of &quot;Electric company&quot; data</li>
+<li><a href="ElectricCompany/electric.html">electric.html</a> - Analysis of “Electric company” data</li>
 </ul></li>
 <li><a href="https://github.com/avehtari/ROS-Examples/tree/master/Peacekeeping/">Peacekeeping/</a>
 <ul>
@@ -513,7 +482,7 @@ <h3>6 Background on regression modeling</h3>
 </ul></li>
 <li><a href="https://github.com/avehtari/ROS-Examples/tree/master/Earnings/">Earnings/</a>
 <ul>
-<li><a href="Earnings/earnings_regression.html">earnings_regression.html</a> - Predict respondents' yearly earnings using survey data from 1990.</li>
+<li><a href="Earnings/earnings_regression.html">earnings_regression.html</a> - Predict respondents’ yearly earnings using survey data from 1990.</li>
 </ul></li>
 <li><a href="https://github.com/avehtari/ROS-Examples/tree/master/PearsonLee/">PearsonLee/</a>
 <ul>
@@ -521,7 +490,7 @@ <h3>6 Background on regression modeling</h3>
 </ul></li>
 <li><a href="https://github.com/avehtari/ROS-Examples/tree/master/FakeMidtermFinal/">FakeMidtermFinal/</a>
 <ul>
-<li><a href="FakeMidtermFinal/simulation.html">simulation.html</a> - Fake dataset of 1000 students' scores on a midterm and final exam</li>
+<li><a href="FakeMidtermFinal/simulation.html">simulation.html</a> - Fake dataset of 1000 students’ scores on a midterm and final exam</li>
 </ul></li>
 </ul>
 </div>
@@ -533,9 +502,7 @@ <h3>7 Linear regression with a single predictor</h3>
 <li><a href="ElectionsEconomy/hibbs.html">hibbs.html</a> - Predicting presidential vote share from the economy</li>
 <li><a href="ElectionsEconomy/hills.html">hills.html</a> - Present uncertainty in parameter estimates</li>
 <li><a href="ElectionsEconomy/hibbs_coverage.html">hibbs_coverage.html</a> - Checking the coverage of intervals</li>
-</ul></li>
-<li><a href="Simplest/" class="uri">Simplest/</a>
-<ul>
+<li><a href="Simplest/">Simplest/</a></li>
 <li><a href="Simplest/simplest.html">simplest.html</a> - Linear regression with a single predictor</li>
 <li><a href="Simplest/simplest_lm.html">simplest_lm.html</a> - Linear least squares regression with a single predictor</li>
 </ul></li>
@@ -569,7 +536,7 @@ <h3>9 Prediction and Bayesian inference</h3>
 <li><a href="https://github.com/avehtari/ROS-Examples/tree/master/Earnings/">Earnings/</a>
 <ul>
 <li><a href="Earnings/height_and_weight.html">height_and_weight.html</a> - Predict weight</li>
-<li><a href="Earnings/earnings_regression.html">earnings_regression.html</a> - Predict respondents' yearly earnings using survey data from 1990.</li>
+<li><a href="Earnings/earnings_regression.html">earnings_regression.html</a> - Predict respondents’ yearly earnings using survey data from 1990.</li>
 </ul></li>
 </ul>
 </div>
@@ -618,7 +585,7 @@ <h3>11 Assumptions, diagnostics, and model evaluation</h3>
 </ul></li>
 <li><a href="https://github.com/avehtari/ROS-Examples/tree/master/Newcomb/">Newcomb/</a>
 <ul>
-<li><a href="Newcomb/newcomb.html">newcomb.html</a> - Posterior predictive checking of Normal model for Newcomb's speed of light data</li>
+<li><a href="Newcomb/newcomb.html">newcomb.html</a> - Posterior predictive checking of Normal model for Newcomb’s speed of light data</li>
 </ul></li>
 <li><a href="https://github.com/avehtari/ROS-Examples/tree/master/Unemployment/">Unemployment/</a>
 <ul>
@@ -648,7 +615,7 @@ <h3>12 Transformations</h3>
 </ul></li>
 <li><a href="https://github.com/avehtari/ROS-Examples/tree/master/Earnings/">Earnings/</a>
 <ul>
-<li><a href="Earnings/earnings_regression.html">earnings_regression.html</a> - Predict respondents' yearly earnings using survey data from 1990.</li>
+<li><a href="Earnings/earnings_regression.html">earnings_regression.html</a> - Predict respondents’ yearly earnings using survey data from 1990.</li>
 </ul></li>
 <li><a href="https://github.com/avehtari/ROS-Examples/tree/master/Gay/">Gay/</a>
 <ul>
@@ -717,7 +684,7 @@ <h3>15 Other generalized linear models</h3>
 </ul></li>
 <li><a href="https://github.com/avehtari/ROS-Examples/tree/master/Storable/">Storable/</a>
 <ul>
-<li><a href="Storable/storable.html">storable.html</a> - Ordered categorical data analysis with a study from experimental economics, on the topic of ``storable votes.''</li>
+<li><a href="Storable/storable.html">storable.html</a> - Ordered categorical data analysis with a study from experimental economics, on the topic of ``storable votes.’’</li>
 </ul></li>
 <li><a href="https://github.com/avehtari/ROS-Examples/tree/master/Earnings/">Earnings/</a>
 <ul>
@@ -738,7 +705,7 @@ <h3>16 Design and sample size decisions</h3>
 <ul>
 <li><a href="https://github.com/avehtari/ROS-Examples/tree/master/ElectricCompany/">ElectricCompany/</a>
 <ul>
-<li><a href="ElectricCompany/electric.html">electric.html</a> - Analysis of &quot;Electric company&quot; data</li>
+<li><a href="ElectricCompany/electric.html">electric.html</a> - Analysis of “Electric company” data</li>
 </ul></li>
 <li><a href="https://github.com/avehtari/ROS-Examples/tree/master/SampleSize/">SampleSize/</a>
 <ul>
@@ -779,7 +746,7 @@ <h3>19 Causal inference using regression on the treatment variable</h3>
 <ul>
 <li><a href="https://github.com/avehtari/ROS-Examples/tree/master/ElectricCompany/">ElectricCompany/</a>
 <ul>
-<li><a href="ElectricCompany/electric.html">electric.html</a> - Analysis of &quot;Electric company&quot; data</li>
+<li><a href="ElectricCompany/electric.html">electric.html</a> - Analysis of “Electric company” data</li>
 </ul></li>
 <li><a href="(https://github.com/avehtari/ROS-Examples/tree/master/Incentives/)">Incentives/</a>
 <ul>
@@ -793,7 +760,7 @@ <h3>20 Observational studies with all confounders assumed to be measured</h3>
 <ul>
 <li><a href="https://github.com/avehtari/ROS-Examples/tree/master/ElectricCompany/">ElectricCompany/</a>
 <ul>
-<li><a href="ElectricCompany/electric.html">electric.html</a> - Analysis of &quot;Electric company&quot; data</li>
+<li><a href="ElectricCompany/electric.html">electric.html</a> - Analysis of “Electric company” data</li>
 </ul></li>
 <li><a href="https://github.com/avehtari/ROS-Examples/tree/master/Childcare/">Childcare/</a>
 <ul>
@@ -933,7 +900,7 @@ <h2>Examples alphabetically</h2>
 </ul></li>
 <li><a href="https://github.com/avehtari/ROS-Examples/tree/master/Earnings/">Earnings/</a>
 <ul>
-<li><a href="Earnings/earnings_regression.html">earnings_regression.html</a> - Predict respondents' yearly earnings using survey data from 1990.</li>
+<li><a href="Earnings/earnings_regression.html">earnings_regression.html</a> - Predict respondents’ yearly earnings using survey data from 1990.</li>
 <li><a href="Earnings/earnings_bootstrap.html">earnings_bootstrap.html</a> - Bootstrapping to simulate the sampling distribution</li>
 <li><a href="Earnings/earnings_compound.html">earnings_compound.html</a> - Compound discrete-continuos model</li>
 <li><a href="Earnings/height_and_weight.html">height_and_weight.html</a> - Predict weight</li>
@@ -947,7 +914,7 @@ <h2>Examples alphabetically</h2>
 </ul></li>
 <li><a href="https://github.com/avehtari/ROS-Examples/tree/master/ElectricCompany/">ElectricCompany/</a>
 <ul>
-<li><a href="ElectricCompany/electric.html">electric.html</a> - Analysis of &quot;Electric company&quot; data</li>
+<li><a href="ElectricCompany/electric.html">electric.html</a> - Analysis of “Electric company” data</li>
 </ul></li>
 <li><a href="https://github.com/avehtari/ROS-Examples/tree/master/FakeKCV/">FakeKCV/</a>
 <ul>
@@ -955,7 +922,7 @@ <h2>Examples alphabetically</h2>
 </ul></li>
 <li><a href="https://github.com/avehtari/ROS-Examples/tree/master/FakeMidtermFinal/">FakeMidtermFinal/</a>
 <ul>
-<li><a href="FakeMidtermFinal/simulation.html">simulation.html</a> - Fake dataset of 1000 students' scores on a midterm and final exam</li>
+<li><a href="FakeMidtermFinal/simulation.html">simulation.html</a> - Fake dataset of 1000 students’ scores on a midterm and final exam</li>
 <li><a href="FakeMidtermFinal/simulation_based_design.html">simulation_based_design.html</a> - Fake dataset of a randomized experiment on student grades</li>
 </ul></li>
 <li><a href="https://github.com/avehtari/ROS-Examples/tree/master/FrenchElection/">FrenchElection/</a>
@@ -1041,7 +1008,7 @@ <h2>Examples alphabetically</h2>
 </ul></li>
 <li><a href="https://github.com/avehtari/ROS-Examples/tree/master/Newcomb/">Newcomb/</a>
 <ul>
-<li><a href="Newcomb/newcomb.html">newcomb.html</a> - Posterior predictive checking of Normal model for Newcomb's speed of light data</li>
+<li><a href="Newcomb/newcomb.html">newcomb.html</a> - Posterior predictive checking of Normal model for Newcomb’s speed of light data</li>
 </ul></li>
 <li><a href="https://github.com/avehtari/ROS-Examples/tree/master/Parabola/">Parabola/</a>
 <ul>
@@ -1122,7 +1089,7 @@ <h2>Examples alphabetically</h2>
 </ul></li>
 <li><a href="https://github.com/avehtari/ROS-Examples/tree/master/Storable/">Storable/</a>
 <ul>
-<li><a href="Storable/storable.html">storable.html</a> - Ordered categorical data analysis with a study from experimental economics, on the topic of ``storable votes.''</li>
+<li><a href="Storable/storable.html">storable.html</a> - Ordered categorical data analysis with a study from experimental economics, on the topic of ``storable votes.’’</li>
 </ul></li>
 <li><a href="https://github.com/avehtari/ROS-Examples/tree/master/Student/">Student/</a>
 <ul>
@@ -1161,7 +1128,7 @@ <h2>Python code</h2>
 
 // add bootstrap table styles to pandoc tables
 function bootstrapStylePandocTables() {
-  $('tr.header').parent('thead').parent('table').addClass('table table-condensed');
+  $('tr.odd').parent('tbody').parent('table').addClass('table table-condensed');
 }
 $(document).ready(function () {
   bootstrapStylePandocTables();
@@ -1179,7 +1146,7 @@ <h2>Python code</h2>
 
 $(document).ready(function () {
   $('.tabset-dropdown > .nav-tabs > li').click(function () {
-    $(this).parent().toggleClass('nav-tabs-open')
+    $(this).parent().toggleClass('nav-tabs-open');
   });
 });
 </script>
diff --git a/index.html b/index.html
index 4a90dd20..0fefb1ae 100644
--- a/index.html
+++ b/index.html
@@ -20,14 +20,21 @@
 <script src="site_libs/bootstrap-3.3.5/js/bootstrap.min.js"></script>
 <script src="site_libs/bootstrap-3.3.5/shim/html5shiv.min.js"></script>
 <script src="site_libs/bootstrap-3.3.5/shim/respond.min.js"></script>
+<style>h1 {font-size: 34px;}
+       h1.title {font-size: 38px;}
+       h2 {font-size: 30px;}
+       h3 {font-size: 24px;}
+       h4 {font-size: 18px;}
+       h5 {font-size: 16px;}
+       h6 {font-size: 12px;}
+       code {color: inherit; background-color: rgba(0, 0, 0, 0.04);}
+       pre:not([class]) { background-color: white }</style>
 <script src="site_libs/jqueryui-1.11.4/jquery-ui.min.js"></script>
 <link href="site_libs/tocify-1.9.1/jquery.tocify.css" rel="stylesheet" />
 <script src="site_libs/tocify-1.9.1/jquery.tocify.js"></script>
 <script src="site_libs/navigation-1.1/tabsets.js"></script>
 <link href="site_libs/highlightjs-9.12.0/default.css" rel="stylesheet" />
 <script src="site_libs/highlightjs-9.12.0/highlight.js"></script>
-<link href="site_libs/anchor-sections-1.0/anchor-sections.css" rel="stylesheet" />
-<script src="site_libs/anchor-sections-1.0/anchor-sections.js"></script>
 
 <style type="text/css">
   code{white-space: pre-wrap;}
@@ -39,11 +46,6 @@
     </style>
 
 <style type="text/css">code{white-space: pre;}</style>
-<style type="text/css">
-  pre:not([class]) {
-    background-color: white;
-  }
-</style>
 <script type="text/javascript">
 if (window.hljs) {
   hljs.configure({languages: []});
@@ -56,32 +58,7 @@
 
 
 
-<style type="text/css">
-h1 {
-  font-size: 34px;
-}
-h1.title {
-  font-size: 38px;
-}
-h2 {
-  font-size: 30px;
-}
-h3 {
-  font-size: 24px;
-}
-h4 {
-  font-size: 18px;
-}
-h5 {
-  font-size: 16px;
-}
-h6 {
-  font-size: 12px;
-}
-.table th:not([align]) {
-  text-align: left;
-}
-</style>
+
 
 
 
@@ -92,10 +69,6 @@
   margin-left: auto;
   margin-right: auto;
 }
-code {
-  color: inherit;
-  background-color: rgba(0, 0, 0, 0.04);
-}
 img {
   max-width:100%;
 }
@@ -111,40 +84,13 @@
 summary {
   display: list-item;
 }
+pre code {
+  padding: 0;
+}
 </style>
 
 
 <style type="text/css">
-/* padding for bootstrap navbar */
-body {
-  padding-top: 66px;
-  padding-bottom: 40px;
-}
-/* offset scroll position for anchor links (for fixed navbar)  */
-.section h1 {
-  padding-top: 71px;
-  margin-top: -71px;
-}
-.section h2 {
-  padding-top: 71px;
-  margin-top: -71px;
-}
-.section h3 {
-  padding-top: 71px;
-  margin-top: -71px;
-}
-.section h4 {
-  padding-top: 71px;
-  margin-top: -71px;
-}
-.section h5 {
-  padding-top: 71px;
-  margin-top: -71px;
-}
-.section h6 {
-  padding-top: 71px;
-  margin-top: -71px;
-}
 .dropdown-submenu {
   position: relative;
 }
@@ -172,7 +118,7 @@
   margin-right: -10px;
 }
 .dropdown-submenu:hover>a:after {
-  border-left-color: #ffffff;
+  border-left-color: #adb5bd;
 }
 .dropdown-submenu.pull-left {
   float: none;
@@ -184,7 +130,7 @@
 }
 </style>
 
-<script>
+<script type="text/javascript">
 // manage active state of menu based on current page
 $(document).ready(function () {
   // active menu anchor
@@ -195,10 +141,23 @@
   var menuAnchor = $('a[href="' + href + '"]');
 
   // mark it active
-  menuAnchor.parent().addClass('active');
+  menuAnchor.tab('show');
 
   // if it's got a parent navbar menu mark it active as well
   menuAnchor.closest('li.dropdown').addClass('active');
+
+  // Navbar adjustments
+  var navHeight = $(".navbar").first().height() + 15;
+  var style = document.createElement('style');
+  var pt = "padding-top: " + navHeight + "px; ";
+  var mt = "margin-top: -" + navHeight + "px; ";
+  var css = "";
+  // offset scroll position for anchor links (for fixed navbar)
+  for (var i = 1; i <= 6; i++) {
+    css += ".section h" + i + "{ " + pt + mt + "}\n";
+  }
+  style.innerHTML = "body {" + pt + "padding-bottom: 40px; }\n" + css;
+  document.head.appendChild(style);
 });
 </script>
 
@@ -210,7 +169,6 @@
   max-height: 500px;
   min-height: 44px;
   overflow-y: auto;
-  background: white;
   border: 1px solid #ddd;
   border-radius: 4px;
 }
@@ -336,13 +294,13 @@
 
 
 <!-- setup 3col/9col grid for toc_float and main content  -->
-<div class="row-fluid">
-<div class="col-xs-12 col-sm-4 col-md-3">
+<div class="row">
+<div class="col-sm-12 col-md-4 col-lg-3">
 <div id="TOC" class="tocify">
 </div>
 </div>
 
-<div class="toc-content col-xs-12 col-sm-8 col-md-9">
+<div class="toc-content col-sm-12 col-md-8 col-lg-9">
 
 
 
@@ -379,13 +337,13 @@
   </div><!--/.container -->
 </div><!--/.navbar -->
 
-<div class="fluid-row" id="header">
+<div id="header">
 
 
 
 <h1 class="title toc-ignore">Regression and Other Stories</h1>
 <h4 class="author">Andrew Gelman, Jennifer Hill, Aki Vehtari</h4>
-<h4 class="date">Page updated: 2020-11-24</h4>
+<h4 class="date">Page updated: 2021-02-11</h4>
 
 </div>
 
@@ -394,10 +352,7 @@ <h4 class="date">Page updated: 2020-11-24</h4>
 <div id="information" class="section level2">
 <h2>Information</h2>
 <div style="float:right;position: relative; margin-left:6px; margin-bottom:6px;">
-<div class="figure">
-<img src="ROS_frontcover.png" width="160" />
-
-</div>
+<p><img src="ROS_frontcover.png" width="160" /></p>
 </div>
 <p>Home page for the book Regression and Other Stories by <a href="http://www.stat.columbia.edu/~gelman/">Andrew Gelman</a>, <a href="https://steinhardt.nyu.edu/people/jennifer-hill">Jennifer Hill</a>, and <a href="https://users.aalto.fi/~ave/">Aki Vehtari</a>, including <a href="examples.html">the code and data for the examples</a>.</p>
 <p>Back cover text: <em>Many textbooks on regression focus on theory and the simplest of examples. Real statistical problems, however, are complex and subtle. This is not a book about the theory of regression. It is a book about how to use regression to solve real problems of comparison, estimation, prediction, and causal inference. It focuses on practical issues such as sample size and missing data and a wide range of goals and techniques. It jumps right in to methods and computer code you can use fresh out of the box.</em></p>
@@ -406,7 +361,7 @@ <h2>Information</h2>
 <li><p><a href="https://www.cambridge.org/fi/academic/subjects/statistics-probability/statistical-theory-and-methods/regression-and-other-stories">Cambridge University Press page</a></p></li>
 <li><p><a href="https://www.learnbayesstats.com/episode/20-regression-and-other-stories-with-andrew-gelman-jennifer-hill-aki-vehtari">Podcast: a special episode of Learning Bayesian Statistics featuring the ROS authors</a></p></li>
 <li><a href="https://github.com/avehtari/ROS-Examples/tree/master/Exams/">Sample exams</a></li>
-<li><p>See also an article <a href="http://www.stat.columbia.edu/~gelman/research/published/teachingbayes.pdf">Teaching Bayes to Graduate Students in Political Science, Sociology, Public Health, Education, Economics, ...</a></p></li>
+<li><p>See also an article <a href="http://www.stat.columbia.edu/~gelman/research/published/teachingbayes.pdf">Teaching Bayes to Graduate Students in Political Science, Sociology, Public Health, Education, Economics, …</a></p></li>
 </ul>
 <p>If you notice an error that is not mentioned in <a href="errata.html">the errata</a>, <a href="https://github.com/avehtari/ROS-Examples/issues">submit an issue</a> or send an email.</p>
 </div>
@@ -440,11 +395,11 @@ <h2>Contents</h2>
 <div id="reviews" class="section level2">
 <h2>Reviews</h2>
 <ul>
-<li><p><em>'Gelman, Hill and Vehtari provide an introductory regression book that hits an amazing trifecta: it motivates regression using real data examples, provides the necessary (but not superfluous) theory, and gives readers tools to implement these methods in their own work. The scope is ambitious - including introductions to causal inference and measurement - and the result is a book that I not only look forward to teaching from, but also keeping around as a reference for my own work.'</em> Elizabeth Tipton, Northwestern University</p></li>
-<li><p><em>'Regression and Other Stories is simply the best introduction to applied statistics out there. Filled with compelling real-world examples, intuitive explanations, and practical advice, the authors offer a delightfully modern perspective on the subject. It's an essential resource for students and practitioners across the statistical and social sciences.'</em> Sharad Goel, Department of Management Science and Engineering, Stanford University</p></li>
-<li><p><em>'With modern software it is very easy to fit complex regression models, and even easier to get their interpretation completely wrong. This wonderful book, summarising the authors' years of experience, stays away from mathematical proofs, and instead focuses on the insights to be gained by careful plotting and modelling of data. In particular the chapters on causal modelling, and the challenges of working with selected samples, provide some desperately needed lessons.'</em> David Spiegelhalter, University of Cambridge</p></li>
-<li><p><em>'Gelman and Hill, have done it again, this time with Aki Vehtari. They have written a textbook that should be on every applied quantitative researcher's bookshelf. Most importantly they explain how to do and interpret regression with real world, complicated examples. Practicing academics in addition to students will benefit from giving this book a close read.'</em> Christopher Winship, Harvard University, Massachusetts</p></li>
-<li><p><em>'Overall this is a very modern, stats centred, engaging and careful book on the most common tool of statistical modelling!'</em> Christian P. Robert, Ceremade - Université Paris-Dauphine. The full review in a blog post <a href="https://xianblog.wordpress.com/2020/07/23/the-art-of-regression-and-other-stories/">[The Art of] Regression and other stories</a>.</p></li>
+<li><p><em>‘Gelman, Hill and Vehtari provide an introductory regression book that hits an amazing trifecta: it motivates regression using real data examples, provides the necessary (but not superfluous) theory, and gives readers tools to implement these methods in their own work. The scope is ambitious - including introductions to causal inference and measurement - and the result is a book that I not only look forward to teaching from, but also keeping around as a reference for my own work.’</em> Elizabeth Tipton, Northwestern University</p></li>
+<li><p><em>‘Regression and Other Stories is simply the best introduction to applied statistics out there. Filled with compelling real-world examples, intuitive explanations, and practical advice, the authors offer a delightfully modern perspective on the subject. It’s an essential resource for students and practitioners across the statistical and social sciences.’</em> Sharad Goel, Department of Management Science and Engineering, Stanford University</p></li>
+<li><p><em>‘With modern software it is very easy to fit complex regression models, and even easier to get their interpretation completely wrong. This wonderful book, summarising the authors’ years of experience, stays away from mathematical proofs, and instead focuses on the insights to be gained by careful plotting and modelling of data. In particular the chapters on causal modelling, and the challenges of working with selected samples, provide some desperately needed lessons.’</em> David Spiegelhalter, University of Cambridge</p></li>
+<li><p><em>‘Gelman and Hill, have done it again, this time with Aki Vehtari. They have written a textbook that should be on every applied quantitative researcher’s bookshelf. Most importantly they explain how to do and interpret regression with real world, complicated examples. Practicing academics in addition to students will benefit from giving this book a close read.’</em> Christopher Winship, Harvard University, Massachusetts</p></li>
+<li><p><em>‘Overall this is a very modern, stats centred, engaging and careful book on the most common tool of statistical modelling!’</em> Christian P. Robert, Ceremade - Université Paris-Dauphine. The full review in a blog post <a href="https://xianblog.wordpress.com/2020/07/23/the-art-of-regression-and-other-stories/">[The Art of] Regression and other stories</a>.</p></li>
 </ul>
 <hr />
 </div>
@@ -478,7 +433,7 @@ <h2>Reviews</h2>
 
 $(document).ready(function () {
   $('.tabset-dropdown > .nav-tabs > li').click(function () {
-    $(this).parent().toggleClass('nav-tabs-open')
+    $(this).parent().toggleClass('nav-tabs-open');
   });
 });
 </script>
diff --git a/site_libs/navigation-1.1/codefolding.js b/site_libs/navigation-1.1/codefolding.js
index 1e16fde9..d8e377b8 100644
--- a/site_libs/navigation-1.1/codefolding.js
+++ b/site_libs/navigation-1.1/codefolding.js
@@ -23,7 +23,7 @@ window.initializeCodeFolding = function(show) {
     // create a collapsable div to wrap the code in
     var div = $('<div class="collapse r-code-collapse"></div>');
     var showThis = (show || $(this).hasClass('fold-show')) && !$(this).hasClass('fold-hide');
-    if (showThis) div.addClass('in');
+    if (showThis) div.collapse('show');
     var id = 'rcode-643E0F36' + currentIndex++;
     div.attr('id', id);
     $(this).before(div);
@@ -31,7 +31,7 @@ window.initializeCodeFolding = function(show) {
 
     // add a show code button right above
     var showCodeText = $('<span>' + (showThis ? 'Hide' : 'Code') + '</span>');
-    var showCodeButton = $('<button type="button" class="btn btn-default btn-xs code-folding-btn pull-right"></button>');
+    var showCodeButton = $('<button type="button" class="btn btn-default btn-xs btn-secondary btn-sm code-folding-btn pull-right float-right"></button>');
     showCodeButton.append(showCodeText);
     showCodeButton
         .attr('data-toggle', 'collapse')
diff --git a/site_libs/tocify-1.9.1/jquery.tocify.js b/site_libs/tocify-1.9.1/jquery.tocify.js
index ba24a7dd..ca47b5fa 100644
--- a/site_libs/tocify-1.9.1/jquery.tocify.js
+++ b/site_libs/tocify-1.9.1/jquery.tocify.js
@@ -176,7 +176,7 @@
         self._setEventHandlers();
 
         // Binding to the Window load event to make sure the correct scrollTop is calculated
-        $(window).load(function() {
+        $(window).on("load", function() {
 
           // Sets the active TOC item
           self._setActiveElement(true);