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Version: 1.0
RestoreWorkspace: Default
SaveWorkspace: Default
AlwaysSaveHistory: Default
EnableCodeIndexing: Yes
UseSpacesForTab: Yes
NumSpacesForTab: 2
Encoding: UTF-8
RnwWeave: Sweave
LaTeX: pdfLaTeX
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---
title: "DEMAND bibliography test"
author: "Ben Anderson (b.anderson@soton.ac.uk, `@dataknut`)"
date: 'Last run: `r Sys.time()`'
output:
html_document:
fig_caption: yes
keep_md: yes
number_sections: yes
self_contained: no
toc: yes
toc_depth: 4
toc_float: yes
pdf_document:
number_sections: yes
toc: yes
toc_depth: 4
bibliography: ~/bibliography.bib
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
## R Markdown
This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see <http://rmarkdown.rstudio.com>.
When you click the **Knit** button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:
```{r cars}
summary(cars)
```
## Including Plots
You can also embed plots, for example:
```{r pressure, echo=FALSE}
plot(pressure)
```
Note that the `echo = FALSE` parameter was added to the code chunk to prevent printing of the R code that generated the plot.
R packages used:
* base R - for the basics [@baseR]
* readr - fast csv read [@readr]
* data.table - for fast (big) data handling [@data.table]
* ggplot2 - for fancy graphs [@ggplot2]
* car - post-regression stats [@car]
* sandwich - robust SE [@sandwich]
* broom - for tidy regression results [@broom]
* survey - for weighted statistics [@survey04,@survey17]
* stargazer - for pretty regression results [@stargazer]
* doBy - groupwise stats [@doBy]
* knitr - to create this document [@knitr]
# References
\ No newline at end of file
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<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta charset="utf-8" />
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="generator" content="pandoc" />
<meta name="author" content="Ben Anderson (b.anderson@soton.ac.uk, @dataknut)" />
<title>DEMAND bibliography test</title>
<script src="DEMANDbibliographyTest_files/jquery-1.11.3/jquery.min.js"></script>
<meta name="viewport" content="width=device-width, initial-scale=1" />
<link href="DEMANDbibliographyTest_files/bootstrap-3.3.5/css/bootstrap.min.css" rel="stylesheet" />
<script src="DEMANDbibliographyTest_files/bootstrap-3.3.5/js/bootstrap.min.js"></script>
<script src="DEMANDbibliographyTest_files/bootstrap-3.3.5/shim/html5shiv.min.js"></script>
<script src="DEMANDbibliographyTest_files/bootstrap-3.3.5/shim/respond.min.js"></script>
<script src="DEMANDbibliographyTest_files/jqueryui-1.11.4/jquery-ui.min.js"></script>
<link href="DEMANDbibliographyTest_files/tocify-1.9.1/jquery.tocify.css" rel="stylesheet" />
<script src="DEMANDbibliographyTest_files/tocify-1.9.1/jquery.tocify.js"></script>
<script src="DEMANDbibliographyTest_files/navigation-1.1/tabsets.js"></script>
<link href="DEMANDbibliographyTest_files/highlightjs-9.12.0/default.css" rel="stylesheet" />
<script src="DEMANDbibliographyTest_files/highlightjs-9.12.0/highlight.js"></script>
<style type="text/css">code{white-space: pre;}</style>
<style type="text/css">
pre:not([class]) {
background-color: white;
}
</style>
<script type="text/javascript">
if (window.hljs) {
hljs.configure({languages: []});
hljs.initHighlightingOnLoad();
if (document.readyState && document.readyState === "complete") {
window.setTimeout(function() { hljs.initHighlighting(); }, 0);
}
}
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font-size: 34px;
}
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}
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font-size: 30px;
}
h3 {
font-size: 24px;
}
h4 {
font-size: 18px;
}
h5 {
font-size: 16px;
}
h6 {
font-size: 12px;
}
.table th:not([align]) {
text-align: left;
}
</style>
</head>
<body>
<style type = "text/css">
.main-container {
max-width: 940px;
margin-left: auto;
margin-right: auto;
}
code {
color: inherit;
background-color: rgba(0, 0, 0, 0.04);
}
img {
max-width:100%;
height: auto;
}
.tabbed-pane {
padding-top: 12px;
}
button.code-folding-btn:focus {
outline: none;
}
</style>
<div class="container-fluid main-container">
<!-- tabsets -->
<script>
$(document).ready(function () {
window.buildTabsets("TOC");
});
</script>
<!-- code folding -->
<script>
$(document).ready(function () {
// move toc-ignore selectors from section div to header
$('div.section.toc-ignore')
.removeClass('toc-ignore')
.children('h1,h2,h3,h4,h5').addClass('toc-ignore');
// establish options
var options = {
selectors: "h1,h2,h3,h4",
theme: "bootstrap3",
context: '.toc-content',
hashGenerator: function (text) {
return text.replace(/[.\\/?&!#<>]/g, '').replace(/\s/g, '_').toLowerCase();
},
ignoreSelector: ".toc-ignore",
scrollTo: 0
};
options.showAndHide = true;
options.smoothScroll = true;
// tocify
var toc = $("#TOC").tocify(options).data("toc-tocify");
});
</script>
<style type="text/css">
#TOC {
margin: 25px 0px 20px 0px;
}
@media (max-width: 768px) {
#TOC {
position: relative;
width: 100%;
}
}
.toc-content {
padding-left: 30px;
padding-right: 40px;
}
div.main-container {
max-width: 1200px;
}
div.tocify {
width: 20%;
max-width: 260px;
max-height: 85%;
}
@media (min-width: 768px) and (max-width: 991px) {
div.tocify {
width: 25%;
}
}
@media (max-width: 767px) {
div.tocify {
width: 100%;
max-width: none;
}
}
.tocify ul, .tocify li {
line-height: 20px;
}
.tocify-subheader .tocify-item {
font-size: 0.90em;
padding-left: 25px;
text-indent: 0;
}
.tocify .list-group-item {
border-radius: 0px;
}
</style>
<!-- setup 3col/9col grid for toc_float and main content -->
<div class="row-fluid">
<div class="col-xs-12 col-sm-4 col-md-3">
<div id="TOC" class="tocify">
</div>
</div>
<div class="toc-content col-xs-12 col-sm-8 col-md-9">
<div class="fluid-row" id="header">
<h1 class="title toc-ignore">DEMAND bibliography test</h1>
<h4 class="author"><em>Ben Anderson (<a href="mailto:b.anderson@soton.ac.uk">b.anderson@soton.ac.uk</a>, <code>@dataknut</code>)</em></h4>
<h4 class="date"><em>Last run: 2018-01-17 22:26:07</em></h4>
</div>
<div id="r-markdown" class="section level2">
<h2><span class="header-section-number">0.1</span> R Markdown</h2>
<p>This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see <a href="http://rmarkdown.rstudio.com" class="uri">http://rmarkdown.rstudio.com</a>.</p>
<p>When you click the <strong>Knit</strong> button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:</p>
<pre class="r"><code>summary(cars)</code></pre>
<pre><code>## speed dist
## Min. : 4.0 Min. : 2.00
## 1st Qu.:12.0 1st Qu.: 26.00
## Median :15.0 Median : 36.00
## Mean :15.4 Mean : 42.98
## 3rd Qu.:19.0 3rd Qu.: 56.00
## Max. :25.0 Max. :120.00</code></pre>
</div>
<div id="including-plots" class="section level2">
<h2><span class="header-section-number">0.2</span> Including Plots</h2>
<p>You can also embed plots, for example:</p>
<p><img src="DEMANDbibliographyTest_files/figure-html/pressure-1.png" /><!-- --></p>
<p>Note that the <code>echo = FALSE</code> parameter was added to the code chunk to prevent printing of the R code that generated the plot.</p>
<p>R packages used:</p>
<ul>
<li>base R - for the basics <span class="citation">(R Core Team 2016)</span></li>
<li>readr - fast csv read <span class="citation">(Wickham, Hester, and Francois 2016)</span></li>
<li>data.table - for fast (big) data handling <span class="citation">(Dowle et al. 2015)</span></li>
<li>ggplot2 - for fancy graphs <span class="citation">(Wickham 2009)</span></li>
<li>car - post-regression stats <span class="citation">(Fox and Weisberg 2011)</span></li>
<li>sandwich - robust SE <span class="citation">(Zeileis 2006)</span></li>
<li>broom - for tidy regression results <span class="citation">(Robinson 2016)</span></li>
<li>survey - for weighted statistics <span class="citation">(Lumley 2004,<span class="citation">(<span class="citeproc-not-found" data-reference-id="survey17"><strong>???</strong></span>)</span>)</span></li>
<li>stargazer - for pretty regression results <span class="citation">(Hlavac 2015)</span></li>
<li>doBy - groupwise stats <span class="citation">(Højsgaard and Halekoh 2016)</span></li>
<li>knitr - to create this document <span class="citation">(Xie 2016)</span></li>
</ul>
</div>
<div id="references" class="section level1 unnumbered">
<h1>References</h1>
<div id="refs" class="references">
<div id="ref-data.table">
<p>Dowle, M, A Srinivasan, T Short, S Lianoglou with contributions from R Saporta, and E Antonyan. 2015. <em>Data.table: Extension of Data.frame</em>. <a href="https://CRAN.R-project.org/package=data.table" class="uri">https://CRAN.R-project.org/package=data.table</a>.</p>
</div>
<div id="ref-car">
<p>Fox, John, and Sanford Weisberg. 2011. <em>An R Companion to Applied Regression</em>. Second. Thousand Oaks CA: Sage. <a href="http://socserv.socsci.mcmaster.ca/jfox/Books/Companion" class="uri">http://socserv.socsci.mcmaster.ca/jfox/Books/Companion</a>.</p>
</div>
<div id="ref-stargazer">
<p>Hlavac, Marek. 2015. <em>Stargazer: Well-Formatted Regression and Summary Statistics Tables</em>. Cambridge, USA: Harvard University. <a href="http://CRAN.R-project.org/package=stargazer" class="uri">http://CRAN.R-project.org/package=stargazer</a>.</p>
</div>
<div id="ref-doBy">
<p>Højsgaard, Søren, and Ulrich Halekoh. 2016. <em>DoBy: Groupwise Statistics, Lsmeans, Linear Contrasts, Utilities</em>. <a href="https://CRAN.R-project.org/package=doBy" class="uri">https://CRAN.R-project.org/package=doBy</a>.</p>
</div>
<div id="ref-survey04">
<p>Lumley, T. 2004. “Analysis of Complex Survey Samples.” <em>Journal of Statistical Software</em> 9 (1): 1–19.</p>
</div>
<div id="ref-baseR">
<p>R Core Team. 2016. <em>R: A Language and Environment for Statistical Computing</em>. Vienna, Austria: R Foundation for Statistical Computing. <a href="https://www.R-project.org/" class="uri">https://www.R-project.org/</a>.</p>
</div>
<div id="ref-broom">
<p>Robinson, David. 2016. <em>Broom: Convert Statistical Analysis Objects into Tidy Data Frames</em>. <a href="https://CRAN.R-project.org/package=broom" class="uri">https://CRAN.R-project.org/package=broom</a>.</p>
</div>
<div id="ref-ggplot2">
<p>Wickham, Hadley. 2009. <em>Ggplot2: Elegant Graphics for Data Analysis</em>. Springer-Verlag New York. <a href="http://ggplot2.org" class="uri">http://ggplot2.org</a>.</p>
</div>
<div id="ref-readr">
<p>Wickham, Hadley, Jim Hester, and Romain Francois. 2016. <em>Readr: Read Tabular Data</em>. <a href="https://CRAN.R-project.org/package=readr" class="uri">https://CRAN.R-project.org/package=readr</a>.</p>
</div>
<div id="ref-knitr">
<p>Xie, Yihui. 2016. <em>Knitr: A General-Purpose Package for Dynamic Report Generation in R</em>. <a href="https://CRAN.R-project.org/package=knitr" class="uri">https://CRAN.R-project.org/package=knitr</a>.</p>
</div>
<div id="ref-sandwich">
<p>Zeileis, Achim. 2006. “Object-Oriented Computation of Sandwich Estimators.” <em>Journal of Statistical Software</em> 16 (9): 1–16. <a href="http://www.jstatsoft.org/v16/i09/." class="uri">http://www.jstatsoft.org/v16/i09/.</a></p>
</div>
</div>
</div>
</div>
</div>
</div>
<script>
// add bootstrap table styles to pandoc tables
function bootstrapStylePandocTables() {
$('tr.header').parent('thead').parent('table').addClass('table table-condensed');
}
$(document).ready(function () {
bootstrapStylePandocTables();
});
</script>
<!-- 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>
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---
title: "DEMAND bibliography test"
author: "Ben Anderson (b.anderson@soton.ac.uk, `@dataknut`)"
date: 'Last run: 2018-01-17 22:26:07'
output:
html_document:
fig_caption: yes
keep_md: yes
number_sections: yes
self_contained: no
toc: yes
toc_depth: 4
toc_float: yes
pdf_document:
number_sections: yes
toc: yes
toc_depth: 4
bibliography: bibliography.bib
---
## R Markdown
This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see <http://rmarkdown.rstudio.com>.
When you click the **Knit** button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:
```r
summary(cars)
```
```
## speed dist
## Min. : 4.0 Min. : 2.00
## 1st Qu.:12.0 1st Qu.: 26.00
## Median :15.0 Median : 36.00
## Mean :15.4 Mean : 42.98
## 3rd Qu.:19.0 3rd Qu.: 56.00
## Max. :25.0 Max. :120.00
```
## Including Plots
You can also embed plots, for example:
![](DEMANDbibliographyTest_files/figure-html/pressure-1.png)<!-- -->
Note that the `echo = FALSE` parameter was added to the code chunk to prevent printing of the R code that generated the plot.
R packages used:
* base R - for the basics [@baseR]
* readr - fast csv read [@readr]
* data.table - for fast (big) data handling [@data.table]
* ggplot2 - for fancy graphs [@ggplot2]
* car - post-regression stats [@car]
* sandwich - robust SE [@sandwich]
* broom - for tidy regression results [@broom]
* survey - for weighted statistics [@survey04,@survey17]
* stargazer - for pretty regression results [@stargazer]
* doBy - groupwise stats [@doBy]
* knitr - to create this document [@knitr]
# References
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