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} code > span.fl { color: #d14; } code > span.ch { color: #d14; } code > span.st { color: #d14; } code > span.co { color: #888888; font-style: italic; } code > span.ot { color: #007020; } code > span.al { color: #ff0000; font-weight: bold; } code > span.fu { color: #900; font-weight: bold; } code > span.er { color: #a61717; background-color: #e3d2d2; } </style> </head> <body> <h1 class="title toc-ignore">Not An Introduction to knitr</h1> <h4 class="author">Yihui Xie</h4> <h4 class="date">2020-06-22</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"></a><span class="kw">options</span>(<span class="dt">digits =</span> <span class="dv">4</span>)</span> <span id="cb1-2"><a href="#cb1-2"></a><span class="kw">rnorm</span>(<span class="dv">20</span>)</span></code></pre></div> <pre><code>## [1] -0.19169 0.67134 0.22346 0.71502 -0.11204 0.75763 1.46664 -0.50364 ## [9] -0.09981 -0.25703 0.49641 -0.72781 -1.75855 -1.34796 -0.06976 0.62396 ## [17] 0.13471 1.02056 -2.16856 -1.73060</code></pre> <div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1"></a>fit =<span class="st"> </span><span class="kw">lm</span>(dist <span class="op">~</span><span class="st"> </span>speed, <span class="dt">data =</span> cars)</span> <span id="cb3-2"><a href="#cb3-2"></a>b =<span class="st"> </span><span class="kw">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"></a><span class="kw">par</span>(<span class="dt">mar=</span><span class="kw">c</span>(<span class="dv">4</span>, <span class="dv">4</span>, <span class="dv">1</span>, <span class="fl">.1</span>))</span> <span id="cb4-2"><a href="#cb4-2"></a><span class="kw">plot</span>(cars, <span class="dt">pch =</span> <span class="dv">20</span>)</span> <span id="cb4-3"><a href="#cb4-3"></a><span class="kw">abline</span>(fit, <span class="dt">col =</span> <span class="st">'red'</span>)</span></code></pre></div> <div class="figure"> <img 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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 hanging-indent"> <div id="ref-xie2013"> <p>Xie, Yihui. 2015. <em>Dynamic Documents with R and Knitr</em>. 2nd ed. Boca Raton, Florida: Chapman; Hall/CRC. <a href="http://yihui.org/knitr/">http://yihui.org/knitr/</a>.</p> </div> <div id="ref-R-knitr"> <p>———. 2016. <em>Knitr: A General-Purpose Package for Dynamic Report Generation in R</em>. <a href="http://yihui.org/knitr/">http://yihui.org/knitr/</a>.</p> </div> </div> </div> <div class="footnotes"> <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> <script type="text/javascript"> window.onload = function() { var i, fig = 1, caps = document.getElementsByClassName('caption'); for (i = 0; i < caps.length; i++) { var cap = caps[i]; if (cap.parentElement.className !== 'figure' || cap.nodeName !== 'P') continue; cap.innerHTML = '<span>Figure ' + fig + ':</span> ' + cap.innerHTML; fig++; } fig = 1; caps = document.getElementsByTagName('caption'); for (i = 0; i < caps.length; i++) { var cap = caps[i]; if (cap.parentElement.nodeName !== 'TABLE') continue; cap.innerHTML = '<span>Table ' + fig + ':</span> ' + cap.innerHTML; fig++; } } </script> <!-- code folding --> <!-- dynamically load mathjax for compatibility with self-contained --> <script> (function () { var script = document.createElement("script"); script.type = "text/javascript"; script.src = "https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML"; document.getElementsByTagName("head")[0].appendChild(script); })(); </script> </body> </html>