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03-functional-programming.html

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 <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>
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-<pre><code> [1] -0.1081364 -1.5727711  0.6738858 -1.1925208  0.8894816  1.1897217
- [7]  0.9075465  0.9055714 -1.6800845 -1.6270948</code></pre>
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+ [7] -1.00915859  0.02102535 -0.61976759 -0.36824767</code></pre>
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 <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

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 <p>Let’s first start by opening RStudio, and start a new project:</p>
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 <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>