zross/index.html

## index.html

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  <title>R crash course</title>
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<h2>Zev&#39;s new workshop slides</h2>

<p>You can write the slide in Markdown and HTML. This is <strong>bold</strong> (markdown) but this is also <b>bold</b> (html).</p>

<p>You might even include <span style="color:green; font-weight:bold">inline CSS.</span></p>

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<section class='' data-state='' id='slide-2'>
  <h3>Quick example with ggplot2</h3>
  <pre><code class="r">&gt; ggplot(diamonds, aes(carat, price))+geom_point(color=&quot;firebrick&quot;)
</code></pre>

<p><img src="data:image/png;base64,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" alt="plot of chunk unnamed-chunk-2"> </p>

</section>
<section class='' data-state='' id='slide-3'>
  <h3>Two column example</h3>

<div style='float:left;width:48%;' class='centered'>
  <p>First plot</p>

<pre><code class="r">&gt; ggplot(diamonds, aes(carat, price))+geom_point(color=&quot;cadetblue&quot;)
</code></pre>

<p><img src="data:image/png;base64,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" alt="plot of chunk unnamed-chunk-3"> </p>

</div>
<div style='float:right;width:48%;'>
  <p>Second plot</p>

<pre><code class="r">&gt; ggplot(diamonds, aes(carat, price, color=clarity))+geom_point()
</code></pre>

<p><img 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alt="plot of chunk unnamed-chunk-4"> </p>

</div>
<div>
  <p>Now I should go back to one column (fullwidth)</p>

</div>
</section>
<section class='' data-state='' id='slide-4'>

  <ul class = "build incremental">
<li>One item</li>
<li>Two item</li>
</ul>

<p class='fragment'>This is a paragraph that also gets revealed incrementally.</p>

<pre class='fragment'><code class='r'># this is an R code chunk that will be revealed incrementally
x<-1:10
y<-rnorm(10)</code></pre>

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