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-503354e5
+6ad3cc6d

08_stats_sims.html

@@ -490,10 +490,10 @@ <h4 class="unnumbered anchored" data-anchor-id="uniform-distribution">Uniform di
 <div class="cell">
 <div class="sourceCode cell-code" id="cb2"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a><span class="fu">runif</span>(<span class="at">n =</span> <span class="dv">20</span>, <span class="at">min =</span> <span class="sc">-</span><span class="dv">3</span>, <span class="at">max =</span> <span class="dv">3</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 <div class="cell-output cell-output-stdout">
-<pre><code> [1] -1.4023252  1.1713736 -0.3510838 -0.4621909 -0.2668631  0.4928465
- [7] -2.8308813 -0.2056643 -0.7226243  2.6448364 -1.2225818 -1.0329885
-[13] -0.4080092  0.1749129  1.8892714  1.6986870 -0.5277233 -0.4039598
-[19]  2.5416048 -1.5447973</code></pre>
+<pre><code> [1] -1.8224563 -1.3146149  1.9659519  1.0809883 -0.3324500  2.4444181
+ [7]  0.6173892  1.2136997  0.9325744  1.5912007 -1.7716852 -0.9085152
+[13]  1.7604598  0.7482107 -1.3742738 -0.5138874  1.8668961 -2.8049887
+[19]  2.9986384  1.1611108</code></pre>
 </div>
 </div>
 <p>When we draw a million times from the distribution, we can then plot it and see that it does look as we would expect:</p>

Methods-Camp.pdf

@@ -501,15 +501,7 @@ <h2 class="unnumbered anchored" data-anchor-id="course-outline">Course outline</
 <li>Optimization</li>
 <li>Integrals</li>
 </ul>
-<p><strong>5 Wednesday morning: <a href="05_matrices.html">Matrices</a></strong></p>
-<ul>
-<li>Matrices</li>
-<li>Systems of linear equations</li>
-<li>Matrix operations (multiplication, transpose, inverse, determinant)</li>
-<li>Solving systems of linear equations in matrix form (and why that’s cool)</li>
-<li>Introduction to OLS</li>
-</ul>
-<p><strong>6 Wednesday afternoon: <a href="06_tidy_data2.html">Tidy data analysis II</a></strong></p>
+<p><strong>5 Wednesday morning: <a href="06_tidy_data2.html">Tidy data analysis II</a></strong></p>
 <ul>
 <li>Loading data in different formats (.csv, R, Excel, Stata, SPSS)</li>
 <li>Recoding values (<code>if_else()</code>, <code>case_when()</code>)</li>
@@ -518,18 +510,26 @@ <h2 class="unnumbered anchored" data-anchor-id="course-outline">Course outline</
 <li>Merging data</li>
 <li>Plotting extensions (trend graphs, facets, customization)</li>
 </ul>
-<p><strong>7 Thursday morning: <a href="07_probability.html">Probability</a></strong></p>
+<p><strong>6 Wednesday afternoon: <a href="07_probability.html">Probability</a></strong></p>
 <ul>
 <li>Probability: basic concepts</li>
 <li>Random variables, probability distributions, and their properties</li>
 <li>Common probability distributions</li>
 </ul>
-<p><strong>8 Thursday afternoon: <a href="08_stats_sims.html">Statistics and simulations</a></strong></p>
+<p><strong>7 Thursday morning: <a href="08_stats_sims.html">Statistics and simulations</a></strong></p>
 <ul>
 <li>Statistics: basic concepts</li>
 <li>Random sampling and loops in R</li>
 <li>Simulation example: bootstrapping</li>
 </ul>
+<p><strong>8 Thursday afternoon: <a href="05_matrices.html">Matrices</a></strong></p>
+<ul>
+<li>Matrices</li>
+<li>Systems of linear equations</li>
+<li>Matrix operations (multiplication, transpose, inverse, determinant)</li>
+<li>Solving systems of linear equations in matrix form (and why that’s cool)</li>
+<li>Introduction to OLS</li>
+</ul>
 <p><strong>9 Thursday afternoon: Wrap-up</strong></p>
 <ul>
 <li>Project management fundamentals</li>
@@ -558,7 +558,7 @@ <h2 class="unnumbered anchored" data-anchor-id="contact-info">Contact info</h2>
 </section>
 <section id="acknowledgements" class="level2 unnumbered">
 <h2 class="unnumbered anchored" data-anchor-id="acknowledgements">Acknowledgements</h2>
-<p>We thank previous Methods Camp instructors for their accumulated experience and materials, upon which we have based ours upon. UT Gov Prof.&nbsp;Max Goplerud gave us amazing feedback for this iteration of Methods Camp (2025). All errors remain our own (and will hopefully be fixed with your help!).</p>
+<p>We thank previous Methods Camp instructors for their accumulated experience and materials, upon which we have based ours. UT Gov Prof.&nbsp;Max Goplerud gave us amazing feedback for this iteration of Methods Camp (2025). All errors remain our own (and will hopefully be fixed with your help!).</p>
 </section>
 <section id="materials-from-previous-editions" class="level2 unnumbered">
 <h2 class="unnumbered anchored" data-anchor-id="materials-from-previous-editions">Materials from previous editions</h2>