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RR-simple.html
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<h1 id="introduction">Introduction</h1>
<p>In this talk/document/presentation I showcase some of the possibilities that a combination of <em>tools</em> provides:</p>
<ul>
<li><a href="http://daringfireball.net/projects/markdown/">Markdown</a></li>
<li><a href="http://rmarkdown.rstudio.com/">RMarkdown</a></li>
<li><a href="http://yihui.name/knitr/">Knitr</a></li>
<li><a href="http://johnmacfarlane.net/pandoc/">Pandoc</a></li>
<li><a href="http://lab.hakim.se/reveal-js/#/">Reveal.js</a></li>
<li><a href="http://www.latex-project.org/">Latex</a></li>
</ul>
<p>In order to make sure things look good from the first start, you might check out some additional projects and files:</p>
<ul>
<li>Bootstrap template for Pandoc: <a href="https://github.com/tonyblundell/pandoc-bootstrap-template">https://github.com/tonyblundell/pandoc-bootstrap-template</a></li>
<li>Alternative LaTeX templates: <a href="https://github.com/kjhealy/latex-custom-kjh">https://github.com/kjhealy/latex-custom-kjh</a></li>
<li>Alternative Pandoc template: <a href="https://github.com/kjhealy/pandoc-templates">https://github.com/kjhealy/pandoc-templates</a></li>
<li>Non-official KU Leuven templates: <a href="https://github.com/exporl/kuleuven-templates">https://github.com/exporl/kuleuven-templates</a></li>
</ul>
<h1 id="idea">Idea</h1>
<h2 id="workflow">Workflow</h2>
<ol type="1">
<li>Write data generation, data manipulation and discussion in <strong>one text file</strong>.
<ul>
<li>Syntax for text is Markdown.</li>
<li>Code lines start with <code>tab</code> or delimited by <code>```</code></li>
<li>Call this file <code>file.Rmd</code>, even if it includes more than <code>R</code> code.</li>
</ul></li>
<li><p>Call <code>knitr</code> on the <code>.Rmd</code> file in order to <strong>execute</strong> the code blocks and <strong>include</strong> the output of the code in one file. The output is a <code>.md</code> file.</p></li>
<li><p>Call <code>Pandoc</code> on the file, given suitable options (see below). <code>Pandoc</code> is responsible for translating the <code>.md</code> file to <strong>any format</strong> you want.</p></li>
</ol>
<h2 id="rmarkdown-format">RMarkdown format</h2>
<p>The <code>.Rmd</code> source of this report looks like this (50 lines):</p>
<pre class="sourceCode r"><code class="sourceCode r">text <-<span class="st"> </span><span class="kw">readLines</span>(<span class="st">"RR.Rmd"</span>,<span class="dt">encoding=</span><span class="st">"UTF-8"</span>)
<span class="kw">tail</span>(<span class="kw">head</span>(text, <span class="dv">70</span>),<span class="dv">50</span>)</code></pre>
<pre><code> [1] " <https://github.com/tonyblundell/pandoc-bootstrap-template>"
[2] "* Alternative LaTeX templates: "
[3] " <https://github.com/kjhealy/latex-custom-kjh>"
[4] "* Alternative Pandoc template: "
[5] " <https://github.com/kjhealy/pandoc-templates>"
[6] "* Non-official KU Leuven templates:"
[7] " <https://github.com/exporl/kuleuven-templates>"
[8] ""
[10] ""
[11] "# Idea"
[12] ""
[14] ""
[15] "## Workflow"
[16] ""
[17] "1. Write data generation, data manipulation and discussion in **one text file**."
[18] " * Syntax for text is Markdown."
[19] " * Code lines start with `tab` or delimited by `` ``` ``"
[20] " * Call this file `file.Rmd`, even if it includes more than `R` code."
[21] ""
[22] "2. Call `knitr` on the `.Rmd` file in order to **execute** the code blocks and **include** the output of the code in one file. The output is a `.md` file."
[23] ""
[24] "3. Call `Pandoc` on the file, given suitable options (see below). `Pandoc` is responsible for translating the `.md` file to **any format** you want. "
[25] ""
[27] ""
[28] "## RMarkdown format"
[29] ""
[30] "The `.Rmd` source of this report looks like this (50 lines):"
[31] ""
[32] "```{r, results=\"markup\", comment=\"\"}"
[33] "text <- readLines(\"RR.Rmd\",encoding=\"UTF-8\")"
[34] "tail(head(text, 70),50)"
[35] "```"
[36] ""
[38] ""
[39] "## Markdown format"
[40] ""
[41] "The `.md` source of this report looks like this (50 lines):"
[42] ""
[43] "```{r, results=\"markup\", comment=\"\"}"
[44] "text <- readLines(\"RR.md\",encoding=\"UTF-8\")"
[45] "tail(head(text, 70),50)"
[46] "```"
[47] ""
[48] "Conversion is done using `knitr`."
[49] "" </code></pre>
<h2 id="markdown-format">Markdown format</h2>
<p>The <code>.md</code> source of this report looks like this (50 lines):</p>
<pre class="sourceCode r"><code class="sourceCode r">text <-<span class="st"> </span><span class="kw">readLines</span>(<span class="st">"RR.md"</span>,<span class="dt">encoding=</span><span class="st">"UTF-8"</span>)
<span class="kw">tail</span>(<span class="kw">head</span>(text, <span class="dv">70</span>),<span class="dv">50</span>)</code></pre>
<pre><code> [1] " <https://github.com/tonyblundell/pandoc-bootstrap-template>"
[2] "* Alternative LaTeX templates: "
[3] " <https://github.com/kjhealy/latex-custom-kjh>"
[4] "* Alternative Pandoc template: "
[5] " <https://github.com/kjhealy/pandoc-templates>"
[6] "* Non-official KU Leuven templates:"
[7] " <https://github.com/exporl/kuleuven-templates>"
[8] ""
[10] ""
[11] "# Idea"
[12] ""
[14] ""
[15] "## Workflow"
[16] ""
[17] "1. Write data generation, data manipulation and discussion in **one text file**."
[18] " * Syntax for text is Markdown."
[19] " * Code lines start with `tab` or delimited by `` ``` ``"
[20] " * Call this file `file.Rmd`, even if it includes more than `R` code."
[21] ""
[22] "2. Call `knitr` on the `.Rmd` file in order to **execute** the code blocks and **include** the output of the code in one file. The output is a `.md` file."
[23] ""
[24] "3. Call `Pandoc` on the file, given suitable options (see below). `Pandoc` is responsible for translating the `.md` file to **any format** you want. "
[25] ""
[27] ""
[28] "## RMarkdown format"
[29] ""
[30] "The `.Rmd` source of this report looks like this (50 lines):"
[31] ""
[32] ""
[33] "```r"
[34] "text <- readLines(\"RR.Rmd\",encoding=\"UTF-8\")"
[35] "tail(head(text, 70),50)"
[36] "```"
[37] ""
[38] "```"
[39] " [1] \" <https://github.com/tonyblundell/pandoc-bootstrap-template>\" "
[40] " [2] \"* Alternative LaTeX templates: \" "
[41] " [3] \" <https://github.com/kjhealy/latex-custom-kjh>\" "
[42] " [4] \"* Alternative Pandoc template: \" "
[43] " [5] \" <https://github.com/kjhealy/pandoc-templates>\" "
[44] " [6] \"* Non-official KU Leuven templates:\" "
[45] " [7] \" <https://github.com/exporl/kuleuven-templates>\" "
[46] " [8] \"\" "
[48] "[10] \"\" "
[49] "[11] \"# Idea\" "
[50] "[12] \"\" "</code></pre>
<p>Conversion is done using <code>knitr</code>.</p>
<h2 id="pandoc">Pandoc</h2>
<p>A simple and a more involved example of running <code>Pandoc</code>:</p>
<pre class="shell"><code>pandoc file.md -o file.docx
pandoc file.md -o file.html \
-t html5 \
--template template.html \
--css template.css \
--highlight-style=tango --mathjax \
--toc --toc-depth 2</code></pre>
<p>Dust off your <code>Makefile</code> skills!</p>
<h1 id="some-examples">Some Examples</h1>
<h2 id="simple-example">Simple example</h2>
<p>The first example is in <code>R</code>. Let's say I want to plot a function</p>
<p><span class="math">\[ f(x) = \frac{\log(x^2+x+1)}{2x} \]</span></p>
<p>We first define <span class="math">\(x\)</span> and the function value <span class="math">\(y\)</span> (in doing so we have used some inline equations as well):</p>
<pre class="sourceCode r"><code class="sourceCode r">x <-<span class="st"> </span><span class="kw">seq</span>(<span class="dt">from=</span>-<span class="dv">5</span>,<span class="dt">to=</span><span class="dv">10</span>,<span class="dt">by=</span>.<span class="dv">01</span>)
y <-<span class="st"> </span>(<span class="kw">log</span>(x*x +<span class="st"> </span>x +<span class="st"> </span><span class="dv">1</span>))/(<span class="dv">2</span>*x)</code></pre>
<p>Then we can plot the function. We use the <code>ggplot2</code> package.</p>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">library</span>(ggplot2)
<span class="kw">qplot</span>(x,y,<span class="dt">geom=</span><span class="st">"line"</span>)</code></pre>
<figure>
<img src="figure/chunk-1.png" alt="Plot of the very special function defined above." /><figcaption>Plot of the very special function defined above.</figcaption>
</figure>
<p>See the figure for the result.</p>
<h2 id="working-with-data">Working with data</h2>
<p>Let us take a look at a dataset that comes with <code>R</code>, <code>mtcars</code>:</p>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">summary</span>(mtcars)</code></pre>
<pre><code>## mpg cyl disp hp
## Min. :10.40 Min. :4.000 Min. : 71.1 Min. : 52.0
## 1st Qu.:15.43 1st Qu.:4.000 1st Qu.:120.8 1st Qu.: 96.5
## Median :19.20 Median :6.000 Median :196.3 Median :123.0
## Mean :20.09 Mean :6.188 Mean :230.7 Mean :146.7
## 3rd Qu.:22.80 3rd Qu.:8.000 3rd Qu.:326.0 3rd Qu.:180.0
## Max. :33.90 Max. :8.000 Max. :472.0 Max. :335.0
## drat wt qsec vs
## Min. :2.760 Min. :1.513 Min. :14.50 Min. :0.0000
## 1st Qu.:3.080 1st Qu.:2.581 1st Qu.:16.89 1st Qu.:0.0000
## Median :3.695 Median :3.325 Median :17.71 Median :0.0000
## Mean :3.597 Mean :3.217 Mean :17.85 Mean :0.4375
## 3rd Qu.:3.920 3rd Qu.:3.610 3rd Qu.:18.90 3rd Qu.:1.0000
## Max. :4.930 Max. :5.424 Max. :22.90 Max. :1.0000
## am gear carb
## Min. :0.0000 Min. :3.000 Min. :1.000
## 1st Qu.:0.0000 1st Qu.:3.000 1st Qu.:2.000
## Median :0.0000 Median :4.000 Median :2.000
## Mean :0.4062 Mean :3.688 Mean :2.812
## 3rd Qu.:1.0000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :1.0000 Max. :5.000 Max. :8.000</code></pre>
<p>Now the fun starts. Let's fit a model relates how many Miles/Gallon are consumed, given a weight.</p>
<pre class="sourceCode r"><code class="sourceCode r">model <-<span class="st"> </span><span class="kw">lm</span>(mpg ~<span class="st"> </span>wt, <span class="dt">data=</span>mtcars)
<span class="kw">summary</span>(model)</code></pre>
<pre><code>##
## Call:
## lm(formula = mpg ~ wt, data = mtcars)
##
## Residuals:
## Min 1Q Median 3Q Max
## -4.5432 -2.3647 -0.1252 1.4096 6.8727
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 37.2851 1.8776 19.858 < 2e-16 ***
## wt -5.3445 0.5591 -9.559 1.29e-10 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.046 on 30 degrees of freedom
## Multiple R-squared: 0.7528, Adjusted R-squared: 0.7446
## F-statistic: 91.38 on 1 and 30 DF, p-value: 1.294e-10</code></pre>
<p>This is verbatim output, we can use some <code>R</code> package magic to get proper tables as output as well using the <code>pander</code> package:</p>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">library</span>(pander)
<span class="kw">pander</span>(model)</code></pre>
<table>
<caption>Fitting linear model: mpg ~ wt</caption>
<col style="width: 25%" /><col style="width: 15%" /><col style="width: 18%" /><col style="width: 13%" /><col style="width: 13%" /><thead>
<tr class="header">
<th style="text-align: center;"> </th>
<th style="text-align: center;">Estimate</th>
<th style="text-align: center;">Std. Error</th>
<th style="text-align: center;">t value</th>
<th style="text-align: center;">Pr(>|t|)</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td style="text-align: center;"><strong>wt</strong></td>
<td style="text-align: center;">-5.344</td>
<td style="text-align: center;">0.5591</td>
<td style="text-align: center;">-9.559</td>
<td style="text-align: center;">1.294e-10</td>
</tr>
<tr class="even">
<td style="text-align: center;"><strong>(Intercept)</strong></td>
<td style="text-align: center;">37.29</td>
<td style="text-align: center;">1.878</td>
<td style="text-align: center;">19.86</td>
<td style="text-align: center;">8.242e-19</td>
</tr>
</tbody>
</table>
<p>We can also plot this information using the code below.</p>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">qplot</span>(<span class="dt">x=</span>wt, <span class="dt">y=</span>mpg, <span class="dt">data=</span>mtcars, <span class="dt">xlab=</span><span class="st">"Weight (lb/1000)"</span>, <span class="dt">ylab=</span><span class="st">"Miles per Gallon"</span>,
<span class="dt">geom=</span><span class="kw">c</span>(<span class="st">"point"</span>,<span class="st">"smooth"</span>), <span class="dt">method=</span><span class="st">"lm"</span>)</code></pre>
<figure>
<img src="figure/unnamed-chunk-7-1.png" alt="A scatterplot of the fuel consumption versus the weight of the car, along with the results of a linear regression. See the text for more information." /><figcaption>A scatterplot of the fuel consumption versus the weight of the car, along with the results of a linear regression. See the text for more information.</figcaption>
</figure>
<h2 id="scraping-the-web">Scraping the web</h2>
<p>This script parses the Wikipedia page with Belgian Beers in order to get the data out. It then does some cleaning up and converts the data to different formats. The result can be stored in a file, but just display the first 10 rows.</p>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">library</span>(XML)
rawBeers <-<span class="st"> </span><span class="kw">readHTMLTable</span>(<span class="dt">doc=</span><span class="st">"http://nl.wikipedia.org/wiki/Lijst_van_Belgische_bieren"</span>)
beers <-<span class="st"> </span><span class="ot">NULL</span>
<span class="co"># The first table is not relevant, the rest is:</span>
for (i in <span class="kw">seq</span>(<span class="dv">2</span>,<span class="dv">28</span>)) {
beers <-<span class="st"> </span><span class="kw">rbind</span>(beers,rawBeers[[i]])
}
<span class="co"># Remove the percentage sign and convert to numbers:</span>
beers$Percentagealcohol <-<span class="st"> </span><span class="kw">gsub</span>(<span class="st">"%"</span>,<span class="st">""</span>,beers$Percentagealcohol)
beers$Percentagealcohol <-<span class="st"> </span><span class="kw">gsub</span>(<span class="st">","</span>,<span class="st">"."</span>,beers$Percentagealcohol)
beers$Percentagealcohol <-<span class="kw">as.numeric</span>(beers$Percentagealcohol)</code></pre>
<pre><code>## Warning: NAs introduced by coercion</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="co"># A few entries do not have a percentage entry</span>
nas <-<span class="st"> </span><span class="kw">length</span>(beers[<span class="kw">is.na</span>(beers$Percentagealcohol),])</code></pre>
<p>The number of entries without percentage entry is: 4.</p>
<p>We use <code>pander</code> again for displaying the top-10 of beers with the highest amount of alcohol:</p>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">pander</span>(
<span class="kw">head</span>(
beers[<span class="kw">order</span>(beers$Percentagealcohol,<span class="dt">decreasing=</span><span class="ot">TRUE</span>),
<span class="kw">c</span>(<span class="st">"Merk"</span>,<span class="st">"Percentagealcohol"</span>)],
<span class="dv">10</span>)
)</code></pre>
<table>
<col style="width: 13%" /><col style="width: 37%" /><col style="width: 26%" /><thead>
<tr class="header">
<th style="text-align: center;"> </th>
<th style="text-align: center;">Merk</th>
<th style="text-align: center;">Percentagealcohol</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td style="text-align: center;"><strong>196</strong></td>
<td style="text-align: center;">Black Damnation V (Double Black)</td>
<td style="text-align: center;">26</td>
</tr>
<tr class="even">
<td style="text-align: center;"><strong>412</strong></td>
<td style="text-align: center;">Cuvée d'Erpigny</td>
<td style="text-align: center;">15</td>
</tr>
<tr class="odd">
<td style="text-align: center;"><strong>191</strong></td>
<td style="text-align: center;">Black Albert</td>
<td style="text-align: center;">13</td>
</tr>
<tr class="even">
<td style="text-align: center;"><strong>192</strong></td>
<td style="text-align: center;">Black Damnation I</td>
<td style="text-align: center;">13</td>
</tr>
<tr class="odd">
<td style="text-align: center;"><strong>194</strong></td>
<td style="text-align: center;">Black Damnation III (Black Mes)</td>
<td style="text-align: center;">13</td>
</tr>
<tr class="even">
<td style="text-align: center;"><strong>195</strong></td>
<td style="text-align: center;">Black Damnation IV (Coffée Club)</td>
<td style="text-align: center;">13</td>
</tr>
<tr class="odd">
<td style="text-align: center;"><strong>313</strong></td>
<td style="text-align: center;">Bush de Noël Premium</td>
<td style="text-align: center;">13</td>
</tr>
<tr class="even">
<td style="text-align: center;"><strong>314</strong></td>
<td style="text-align: center;">Bush de Nuits</td>
<td style="text-align: center;">13</td>
</tr>
<tr class="odd">
<td style="text-align: center;"><strong>315</strong></td>
<td style="text-align: center;">Bush Prestige</td>
<td style="text-align: center;">13</td>
</tr>
<tr class="even">
<td style="text-align: center;"><strong>411</strong></td>
<td style="text-align: center;">Cuvée Delphine</td>
<td style="text-align: center;">13</td>
</tr>
</tbody>
</table>
<h1 id="different-languages">Different languages</h1>
<h2 id="python">Python</h2>
<pre class="sourceCode python"><code class="sourceCode python"><span class="ch">import</span> pprint
pprint.pprint(<span class="dt">zip</span>((<span class="st">'Byte'</span>, <span class="st">'KByte'</span>, <span class="st">'MByte'</span>, <span class="st">'GByte'</span>, <span class="st">'TByte'</span>),
(<span class="dv">1</span> << <span class="dv">10</span>*i <span class="kw">for</span> i in <span class="dt">xrange</span>(<span class="dv">5</span>))))</code></pre>
<pre><code>## [('Byte', 1),
## ('KByte', 1024),
## ('MByte', 1048576),
## ('GByte', 1073741824),
## ('TByte', 1099511627776)]</code></pre>
<h2 id="scala">Scala</h2>
<pre class="sourceCode scala"><code class="sourceCode scala"><span class="kw">val</span> collection = <span class="kw">for</span> {i <- <span class="dv">1</span> to <span class="dv">10</span>} <span class="kw">yield</span> {i}
<span class="kw">val</span> mapped = collection <span class="fu">map</span> (x => x*x)
<span class="kw">val</span> reduced = mapped <span class="fu">reduce</span> (_ + _)
<span class="fu">println</span>(reduced)</code></pre>
<pre><code>## 385</code></pre>
<h1 id="sweave">Sweave</h1>
<p><code>knitr</code> can handle sweave documents as well.</p>
<pre class="sourceCode R"><code class="sourceCode r"><span class="kw">library</span>(knitr)
<span class="kw">Sweave2knitr</span>(<span class="st">'dummy.Rnw'</span>)
<span class="kw">knit</span>(<span class="st">'dummy-knitr.Rnw'</span>)</code></pre>
<p>Or, just write in RMarkdown:</p>
<pre class="script"><code>Rscript -e 'library(knitr); knit("rmarkdown-version.Rmd")
pandoc rmarkdown-version.md -o rmarkdown-version.pdf --toc</code></pre>
<p>Text (and code) can be translated using <code>Pandoc</code></p>
<figure>
<img src="figure/SweaveVsRmd.png" alt="Side-by-side view of the same text/code in RMarkdown and Sweave" /><figcaption>Side-by-side view of the same text/code in RMarkdown and Sweave</figcaption>
</figure>
<h1 id="what-to-use-it-for">What to use it for?</h1>
<p>I use it for:</p>
<ul>
<li>Creating presentations (<code>reveal.js</code>)</li>
<li>Writing reports (including code)</li>
<li>Writing papers (just text)</li>
<li>Making coffee</li>
</ul>
<h1 id="how-to-use-it">How to use it?</h1>
<h2 id="rstudio">RStudio</h2>
<figure>
<img src="figure/RStudio-Screenshot.png" alt="Screenshot of (part of) RStudio" /><figcaption>Screenshot of (part of) RStudio</figcaption>
</figure>
<h2 id="your-favourite-editor-here"><em>your favourite editor here</em></h2>
<figure>
<img src="figure/Sublime-Screenshot.png" alt="Screenshot of Sublime Editor with Markdown mode" /><figcaption>Screenshot of Sublime Editor with Markdown mode</figcaption>
</figure>
<h1 id="additional-pointers">Additional pointers</h1>
<ul>
<li>Markdown to <code>Reveal.js</code>: <a href="http://tverbeiren.github.io/BigDataBe-Spark/#/">http://tverbeiren.github.io/BigDataBe-Spark/#/</a></li>
<li>Markdown and <code>Pandoc</code> for writing a paper: <a href="http://homes.esat.kuleuven.be/~bioiuser/blog/?p=243">http://homes.esat.kuleuven.be/~bioiuser/blog/?p=243</a></li>
<li>Markdown and <code>Pandoc</code> for lecture notes: <a href="https://bitbucket.org/tverbeiren/i0u19a">https://bitbucket.org/tverbeiren/i0u19a</a></li>
<li>You can find everything I showed here at: <a href="http://github.io/tverbeiren/ReproducibleDataAnalysis/">http://github.io/tverbeiren/ReproducibleDataAnalysis/</a></li>
</ul>