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<h1>An R Markdown Example</h1>
<p>This is an R Markdown document. Markdown is a simple formatting syntax for authoring web pages.</p>
<p>knitr allows us to embed R code within Markdown documents. This combination of Markdown/R is then translated into html for display in web pages.</p>
<p>You can immediately see in this example that knitr is useful for dynamic README files on github.</p>
<p>The following code chunk loads the package UsingR which contains the dataset for our example:</p>
<pre><code class="r">library(&quot;UsingR&quot;)
</code></pre>
<p>And now we&#39;ll generate a plot illustrating three different smoothing techniques using the code below:</p>
<pre><code class="r">attach(five.yr.temperature)
scatter.smooth(temps ~ days, col = &quot;light blue&quot;, bty = &quot;n&quot;)
lines(supsmu(days, temps), lty = 3, lwd = 2)
legend(x = 110, y = 40, lty = c(1, 2, 3), lwd = c(1, 2, 2), legend = c(&quot;scatter.smooth&quot;,
&quot;smooth.spline&quot;, &quot;supsmu&quot;))
</code></pre>
<p><img 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" alt="plot of chunk unnamed-chunk-2"/> </p>
<pre><code class="r">detach(five.yr.temperature)
</code></pre>
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