Built site for gh-pages

.nojekyll

@@ -1 +1 @@
-80c9f361
+27b87dac

03-functional-programming.html

@@ -328,8 +328,8 @@ <h2 data-number="2.1" class="anchored" data-anchor-id="introduction"><span class
 <div class="cell">
 <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><span class="fu">rnorm</span>(<span class="at">n =</span> <span class="dv">10</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] -0.4815198 -1.6562569 -1.4474807  0.3995674 -1.8577727 -0.6291400
- [7] -0.2049999  1.3486385 -1.3850405 -1.2375155</code></pre>
+<pre><code> [1] -0.3612052  1.4839186 -0.4617041 -1.5412977 -0.5927604  0.4973969
+ [7] -0.2632072 -1.2854416 -0.2083852 -0.3536466</code></pre>
 </div>
 </div>
 <p>Each time you run this line, you will get another set of 10 random numbers. This is obviously a good thing in interactive data analysis, but much less so when running a pipeline programmatically. R provides a way to fix the random seed, which will make sure you always get the same random numbers:</p>

05-package-dev.html

@@ -338,7 +338,7 @@ <h2 data-number="4.2" class="anchored" data-anchor-id="getting-started"><span cl
 <p>Let’s first start by opening RStudio, and start a new project:</p>
 <div style="text-align:center;">
 <video width="640" height="480" controls="">
-<source src="img/new_package.mp4" type="video/mp4">
+<source src="/img/new_package.mp4" type="video/mp4">
 </video>
 </div>
 <p>Following these steps creates a folder in the specified path that already contains some scaffolding for our package. This also opens a new RStudio session with the default script <code>hello.R</code> opened:</p>