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<title>Not An Introduction to knitr</title>
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<h1 class="title toc-ignore">Not An Introduction to knitr</h1>
<h4 class="author">Yihui Xie</h4>
<h4 class="date">2023-10-26</h4>
<p>The <strong>knitr</strong> package <span class="citation">(Xie
2016)</span> is an alternative tool to Sweave based on a different
design with more features. This document is not an introduction, but
only serves as a placeholder to guide you to the real manuals, which are
available on the package website <a href="https://yihui.org/knitr/" class="uri">https://yihui.org/knitr/</a><a href="#fn1" class="footnote-ref" id="fnref1"><sup>1</sup></a>, and remember to read
the help pages of functions in this package. There is a book <span class="citation">(Xie 2015)</span> for this package, but it may not be
useful to those who prefer digging out information on the web.</p>
<p>Anyway, here is a code chunk that shows you can compile vignettes
with <strong>knitr</strong> as well using R 3.0.x, which supports
non-Sweave vignettes:</p>
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a><span class="fu">options</span>(<span class="at">digits =</span> <span class="dv">4</span>)</span>
<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a><span class="fu">rnorm</span>(<span class="dv">20</span>)</span></code></pre></div>
<pre><code>## [1] 1.388985 0.503036 -0.775036 1.806629 -0.555110 0.972180 -0.052065
## [8] 0.248322 -0.637656 -0.505279 1.075536 -0.005766 0.300989 -1.102360
## [15] 1.261733 -0.614662 0.660885 0.271355 0.714454 0.923132</code></pre>
<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" tabindex="-1"></a>fit <span class="ot">=</span> <span class="fu">lm</span>(dist <span class="sc">~</span> speed, <span class="at">data =</span> cars)</span>
<span id="cb3-2"><a href="#cb3-2" tabindex="-1"></a>b <span class="ot">=</span> <span class="fu">coef</span>(fit)</span></code></pre></div>
<table>
<caption>Regression coefficients.</caption>
<thead>
<tr class="header">
<th align="left"></th>
<th align="right">Estimate</th>
<th align="right">Std. Error</th>
<th align="right">t value</th>
<th align="right">Pr(>|t|)</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">(Intercept)</td>
<td align="right">-17.579</td>
<td align="right">6.7584</td>
<td align="right">-2.601</td>
<td align="right">0.0123</td>
</tr>
<tr class="even">
<td align="left">speed</td>
<td align="right">3.932</td>
<td align="right">0.4155</td>
<td align="right">9.464</td>
<td align="right">0.0000</td>
</tr>
</tbody>
</table>
<p>The fitted regression equation is <span class="math inline">\(Y=-17.5791+3.9324x\)</span>.</p>
<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" tabindex="-1"></a><span class="fu">par</span>(<span class="at">mar=</span><span class="fu">c</span>(<span class="dv">4</span>, <span class="dv">4</span>, <span class="dv">1</span>, .<span class="dv">1</span>))</span>
<span id="cb4-2"><a href="#cb4-2" tabindex="-1"></a><span class="fu">plot</span>(cars, <span class="at">pch =</span> <span class="dv">20</span>)</span>
<span id="cb4-3"><a href="#cb4-3" tabindex="-1"></a><span class="fu">abline</span>(fit, <span class="at">col =</span> <span class="st">'red'</span>)</span></code></pre></div>
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" alt="A scatterplot with a regression line." width="672" />
<p class="caption">
A scatterplot with a regression line.
</p>
</div>
<div id="references" class="section level2 unnumbered">
<h2 class="unnumbered">References</h2>
<div id="refs" class="references csl-bib-body hanging-indent">
<div id="ref-xie2013" class="csl-entry">
Xie, Yihui. 2015. <em>Dynamic Documents with <span>R</span> and
Knitr</em>. 2nd ed. Boca Raton, Florida: Chapman; Hall/CRC. <a href="https://yihui.org/knitr/">https://yihui.org/knitr/</a>.
</div>
<div id="ref-R-knitr" class="csl-entry">
———. 2016. <em>Knitr: A General-Purpose Package for Dynamic Report
Generation in r</em>. <a href="https://yihui.org/knitr/">https://yihui.org/knitr/</a>.
</div>
</div>
</div>
<div class="footnotes footnotes-end-of-document">
<hr />
<ol>
<li id="fn1"><p>e.g. the <a href="https://yihui.org/knitr/demo/manual/">main manual</a> and the <a href="https://yihui.org/knitr/demo/graphics/">graphics manual</a><a href="#fnref1" class="footnote-back">↩︎</a></p></li>
</ol>
</div>
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