deploy: 688ecbb

01-IntroductionToPython.html

@@ -96,7 +96,7 @@ <h1 class="site-logo" id="site-title">Python Companion to Statistical Thinking i
  </li>
  <li class="toctree-l1">
   <a class="reference internal" href="07-ResamplingAndSimulation.html">
-   Resampling and simulation in R
+   Resampling and simulation
   </a>
  </li>
  <li class="toctree-l1">
@@ -121,7 +121,7 @@ <h1 class="site-logo" id="site-title">Python Companion to Statistical Thinking i
  </li>
  <li class="toctree-l1">
   <a class="reference internal" href="13-GeneralLinearModel.html">
-   The General Linear Model in Python
+   The General Linear Model
   </a>
  </li>
 </ul>
@@ -660,7 +660,7 @@ <h2>Functions<a class="headerlink" href="#functions" title="Permalink to this he
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>-0.7781456934580733
+<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>-0.16732079539678754
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@@ -674,8 +674,8 @@ <h2>Functions<a class="headerlink" href="#functions" title="Permalink to this he
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>array([110.59242224, 120.2608977 ,  92.63319893,  78.17154929,
-        86.39200147])
+<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>array([ 93.87826084, 107.02436875,  87.70148102, 107.76083003,
+       116.53109624])
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 </div>
 </div>

02-SummarizingData.html

@@ -96,7 +96,7 @@ <h1 class="site-logo" id="site-title">Python Companion to Statistical Thinking i
  </li>
  <li class="toctree-l1">
   <a class="reference internal" href="07-ResamplingAndSimulation.html">
-   Resampling and simulation in R
+   Resampling and simulation
   </a>
  </li>
  <li class="toctree-l1">
@@ -121,7 +121,7 @@ <h1 class="site-logo" id="site-title">Python Companion to Statistical Thinking i
  </li>
  <li class="toctree-l1">
   <a class="reference internal" href="13-GeneralLinearModel.html">
-   The General Linear Model in Python
+   The General Linear Model
   </a>
  </li>
 </ul>

03-DataVisualization.html

@@ -96,7 +96,7 @@ <h1 class="site-logo" id="site-title">Python Companion to Statistical Thinking i
  </li>
  <li class="toctree-l1">
   <a class="reference internal" href="07-ResamplingAndSimulation.html">
-   Resampling and simulation in R
+   Resampling and simulation
   </a>
  </li>
  <li class="toctree-l1">
@@ -121,7 +121,7 @@ <h1 class="site-logo" id="site-title">Python Companion to Statistical Thinking i
  </li>
  <li class="toctree-l1">
   <a class="reference internal" href="13-GeneralLinearModel.html">
-   The General Linear Model in Python
+   The General Linear Model
   </a>
  </li>
 </ul>
@@ -318,7 +318,7 @@ <h3>Bar vs. line plots<a class="headerlink" href="#bar-vs-line-plots" title="Per
 </div>
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 <div class="cell_output docutils container">
-<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7f1b2ec4d6d0&gt;]
+<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7f288ee47190&gt;]
 </pre></div>
 </div>
 <img alt="_images/03-DataVisualization_14_1.png" src="_images/03-DataVisualization_14_1.png" />
@@ -333,7 +333,7 @@ <h3>Bar vs. line plots<a class="headerlink" href="#bar-vs-line-plots" title="Per
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-<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7f1b2ebfd760&gt;
+<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7f288edf3d60&gt;
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 <img alt="_images/03-DataVisualization_16_1.png" src="_images/03-DataVisualization_16_1.png" />
@@ -376,7 +376,7 @@ <h2>Plots with two variables<a class="headerlink" href="#plots-with-two-variable
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-<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7f1b2ea6df10&gt;
+<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7f288ec89580&gt;
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 <img alt="_images/03-DataVisualization_23_1.png" src="_images/03-DataVisualization_23_1.png" />
@@ -396,7 +396,7 @@ <h2>Plotting dispersion<a class="headerlink" href="#plotting-dispersion" title="
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-<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7f1b2e92c7f0&gt;
+<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7f288eb371c0&gt;
 </pre></div>
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 <img alt="_images/03-DataVisualization_26_1.png" src="_images/03-DataVisualization_26_1.png" />
@@ -412,7 +412,7 @@ <h2>Plotting dispersion<a class="headerlink" href="#plotting-dispersion" title="
 </div>
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-<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7f1b2c05c4f0&gt;
+<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7f288c441c40&gt;
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 <img alt="_images/03-DataVisualization_28_1.png" src="_images/03-DataVisualization_28_1.png" />
@@ -428,8 +428,8 @@ <h3>Scatter plot<a class="headerlink" href="#scatter-plot" title="Permalink to t
                 <span class="n">data</span><span class="o">=</span><span class="n">adult_nhanes_data</span><span class="p">)</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">([</span><span class="n">adult_nhanes_data</span><span class="p">[</span><span class="s1">&#39;SystolicBloodPres1StRdgMmHg&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span>
           <span class="n">adult_nhanes_data</span><span class="p">[</span><span class="s1">&#39;SystolicBloodPres1StRdgMmHg&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">max</span><span class="p">()],</span>
-          <span class="p">[</span><span class="n">adult_nhanes_data</span><span class="p">[</span><span class="s1">&#39;SystolicBloodPres2NdRdgMmHg&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span>
-          <span class="n">adult_nhanes_data</span><span class="p">[</span><span class="s1">&#39;SystolicBloodPres2NdRdgMmHg&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">max</span><span class="p">()],</span>
+          <span class="p">[</span><span class="n">adult_nhanes_data</span><span class="p">[</span><span class="s1">&#39;SystolicBloodPres1StRdgMmHg&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span>
+          <span class="n">adult_nhanes_data</span><span class="p">[</span><span class="s1">&#39;SystolicBloodPres1StRdgMmHg&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">max</span><span class="p">()],</span>
           <span class="n">color</span><span class="o">=</span><span class="s1">&#39;k&#39;</span><span class="p">)</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;Systolic BP - First reading&#39;</span><span class="p">)</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;Systolic BP - Second reading&#39;</span><span class="p">)</span>

04-FittingSimpleModels.html

@@ -96,7 +96,7 @@ <h1 class="site-logo" id="site-title">Python Companion to Statistical Thinking i
  </li>
  <li class="toctree-l1">
   <a class="reference internal" href="07-ResamplingAndSimulation.html">
-   Resampling and simulation in R
+   Resampling and simulation
   </a>
  </li>
  <li class="toctree-l1">
@@ -121,7 +121,7 @@ <h1 class="site-logo" id="site-title">Python Companion to Statistical Thinking i
  </li>
  <li class="toctree-l1">
   <a class="reference internal" href="13-GeneralLinearModel.html">
-   The General Linear Model in Python
+   The General Linear Model
   </a>
  </li>
 </ul>
@@ -485,7 +485,7 @@ <h2>Variability<a class="headerlink" href="#variability" title="Permalink to thi
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>99.32116733780761
+<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>118.0052013422819
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 </div>
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-<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>99.3211673378076
+<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>118.00520134228196
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 </div>
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 <div class="cell_output docutils container">
-<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>9.966000568824366
+<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>10.863019899746197
 </pre></div>
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@@ -525,7 +525,7 @@ <h2>Variability<a class="headerlink" href="#variability" title="Permalink to thi
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>9.966000568824366
+<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>10.8630198997462
 </pre></div>
 </div>
 </div>
@@ -559,10 +559,10 @@ <h2>Z-scores<a class="headerlink" href="#z-scores" title="Permalink to this head
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>(array([10., 21., 15., 27., 16., 26.,  6., 15., 10.,  4.]),
- array([-1.78132306, -1.37393798, -0.96655289, -0.55916781, -0.15178272,
-         0.25560237,  0.66298745,  1.07037254,  1.47775763,  1.88514271,
-         2.2925278 ]),
+<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>(array([ 6., 15., 21., 29., 20., 21., 21., 10.,  5.,  2.]),
+ array([-2.05559782, -1.58611511, -1.1166324 , -0.64714969, -0.17766699,
+         0.29181572,  0.76129843,  1.23078114,  1.70026385,  2.16974655,
+         2.63922926]),
  &lt;a list of 10 Patch objects&gt;)
 </pre></div>
 </div>
@@ -577,7 +577,7 @@ <h2>Z-scores<a class="headerlink" href="#z-scores" title="Permalink to this head
 </div>
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-<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.PathCollection at 0x7f174d259520&gt;
+<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.PathCollection at 0x7f1ffead45e0&gt;
 </pre></div>
 </div>
 <img alt="_images/04-FittingSimpleModels_48_1.png" src="_images/04-FittingSimpleModels_48_1.png" />

05-Probability.html

@@ -96,7 +96,7 @@ <h1 class="site-logo" id="site-title">Python Companion to Statistical Thinking i
  </li>
  <li class="toctree-l1">
   <a class="reference internal" href="07-ResamplingAndSimulation.html">
-   Resampling and simulation in R
+   Resampling and simulation
   </a>
  </li>
  <li class="toctree-l1">
@@ -121,7 +121,7 @@ <h1 class="site-logo" id="site-title">Python Companion to Statistical Thinking i
  </li>
  <li class="toctree-l1">
   <a class="reference internal" href="13-GeneralLinearModel.html">
-   The General Linear Model in Python
+   The General Linear Model
   </a>
  </li>
 </ul>

06-Sampling.html

@@ -31,7 +31,7 @@
     <script async="async" src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/latest.js?config=TeX-AMS-MML_HTMLorMML"></script>
     <link rel="index" title="Index" href="genindex.html" />
     <link rel="search" title="Search" href="search.html" />
-    <link rel="next" title="Resampling and simulation in R" href="07-ResamplingAndSimulation.html" />
+    <link rel="next" title="Resampling and simulation" href="07-ResamplingAndSimulation.html" />
     <link rel="prev" title="Probability" href="05-Probability.html" />
 
     <meta name="viewport" content="width=device-width, initial-scale=1">
@@ -96,7 +96,7 @@ <h1 class="site-logo" id="site-title">Python Companion to Statistical Thinking i
  </li>
  <li class="toctree-l1">
   <a class="reference internal" href="07-ResamplingAndSimulation.html">
-   Resampling and simulation in R
+   Resampling and simulation
   </a>
  </li>
  <li class="toctree-l1">
@@ -121,7 +121,7 @@ <h1 class="site-logo" id="site-title">Python Companion to Statistical Thinking i
  </li>
  <li class="toctree-l1">
   <a class="reference internal" href="13-GeneralLinearModel.html">
-   The General Linear Model in Python
+   The General Linear Model
   </a>
  </li>
 </ul>
@@ -267,7 +267,7 @@ <h2>Sampling error<a class="headerlink" href="#sampling-error" title="Permalink
 <span class="c1"># we need to use the maximum of those data to set</span>
 <span class="c1"># the height of the vertical line that shows the mean</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">axvline</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">adult_nhanes_data</span><span class="p">[</span><span class="s1">&#39;Height&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">(),</span>
-            <span class="n">ymax</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">hist</span><span class="p">[</span><span class="mi">0</span><span class="p">]),</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;k&#39;</span><span class="p">)</span>
+            <span class="n">ymax</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;k&#39;</span><span class="p">)</span>
 
 <span class="c1"># draw the normal distribution with same mean and standard deviation</span>
 <span class="c1"># as the sampling distribution</span>
@@ -285,7 +285,7 @@ <h2>Sampling error<a class="headerlink" href="#sampling-error" title="Permalink
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7f55b4bc2f70&gt;]
+<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7f155446ee50&gt;]
 </pre></div>
 </div>
 <img alt="_images/06-Sampling_5_1.png" src="_images/06-Sampling_5_1.png" />
@@ -438,7 +438,7 @@ <h2>Confidence intervals<a class="headerlink" href="#confidence-intervals" title
   warnings.warn(
 </pre>
 </div>
-<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>0.945
+<div class="output text_plain highlight-none notranslate"><div class="highlight"><pre><span></span>0.958
 </pre></div>
 </div>
 </div>
@@ -457,7 +457,7 @@ <h2>Confidence intervals<a class="headerlink" href="#confidence-intervals" title
     <div class='prev-next-bottom'>
 
     <a class='left-prev' id="prev-link" href="05-Probability.html" title="previous page">Probability</a>
-    <a class='right-next' id="next-link" href="07-ResamplingAndSimulation.html" title="next page">Resampling and simulation in R</a>
+    <a class='right-next' id="next-link" href="07-ResamplingAndSimulation.html" title="next page">Resampling and simulation</a>
 
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