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<!DOCTYPE html>
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<title>Chasing The Trajectory of Terrorism: A Machine Learning Based Approach to Achieve Open Source Intelligence</title>
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<meta name="twitter:title" content="Chasing The Trajectory of Terrorism: A Machine Learning Based Approach to Achieve Open Source Intelligence" />
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<ul class="summary">
<li><a href="./"></a></li>
<li class="divider"></li>
<li class="chapter" data-level="" data-path="index.html"><a href="index.html"><i class="fa fa-check"></i>Introduction</a><ul>
<li class="chapter" data-level="" data-path="index.html"><a href="index.html#definition-of-terrorism"><i class="fa fa-check"></i>Definition of terrorism</a></li>
<li class="chapter" data-level="" data-path="index.html"><a href="index.html#problem-statement"><i class="fa fa-check"></i>Problem statement</a></li>
<li class="chapter" data-level="" data-path="index.html"><a href="index.html#research-design-and-data"><i class="fa fa-check"></i>Research design and data</a></li>
<li class="chapter" data-level="" data-path="index.html"><a href="index.html#policy-and-practice-implications"><i class="fa fa-check"></i>Policy and practice implications</a></li>
<li class="chapter" data-level="" data-path="index.html"><a href="index.html#deliverables"><i class="fa fa-check"></i>Deliverables</a></li>
</ul></li>
<li class="chapter" data-level="1" data-path="1-essentials-counter.html"><a href="1-essentials-counter.html"><i class="fa fa-check"></i><b>1</b> Essentials of Counterterrorism</a><ul>
<li class="chapter" data-level="1.1" data-path="1-essentials-counter.html"><a href="1-essentials-counter.html#intelligence-disciplines"><i class="fa fa-check"></i><b>1.1</b> Intelligence disciplines</a></li>
<li class="chapter" data-level="1.2" data-path="1-essentials-counter.html"><a href="1-essentials-counter.html#osint-and-data-relevance"><i class="fa fa-check"></i><b>1.2</b> OSINT and data relevance</a><ul>
<li class="chapter" data-level="1.2.1" data-path="1-essentials-counter.html"><a href="1-essentials-counter.html#open-source-databases-on-terrorism"><i class="fa fa-check"></i><b>1.2.1</b> Open-source databases on terrorism</a></li>
</ul></li>
<li class="chapter" data-level="1.3" data-path="1-essentials-counter.html"><a href="1-essentials-counter.html#whats-important-in-terrorism-research"><i class="fa fa-check"></i><b>1.3</b> What’s important in terrorism research?</a><ul>
<li class="chapter" data-level="1.3.1" data-path="1-essentials-counter.html"><a href="1-essentials-counter.html#primary-vs-secondary-sources"><i class="fa fa-check"></i><b>1.3.1</b> Primary vs secondary sources</a></li>
<li class="chapter" data-level="1.3.2" data-path="1-essentials-counter.html"><a href="1-essentials-counter.html#use-of-statistical-analysis"><i class="fa fa-check"></i><b>1.3.2</b> Use of statistical analysis</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="2" data-path="2-literature-review.html"><a href="2-literature-review.html"><i class="fa fa-check"></i><b>2</b> Literature Review</a><ul>
<li class="chapter" data-level="2.1" data-path="2-literature-review.html"><a href="2-literature-review.html#overview-of-prior-research"><i class="fa fa-check"></i><b>2.1</b> Overview of prior research</a><ul>
<li class="chapter" data-level="2.1.1" data-path="2-literature-review.html"><a href="2-literature-review.html#harsh-realities"><i class="fa fa-check"></i><b>2.1.1</b> Harsh realities</a></li>
<li class="chapter" data-level="2.1.2" data-path="2-literature-review.html"><a href="2-literature-review.html#review-of-relevant-literature"><i class="fa fa-check"></i><b>2.1.2</b> Review of relevant literature</a></li>
<li class="chapter" data-level="2.1.3" data-path="2-literature-review.html"><a href="2-literature-review.html#gtd-and-machine-learning-in-previous-research"><i class="fa fa-check"></i><b>2.1.3</b> GTD and machine learning in previous research</a></li>
</ul></li>
<li class="chapter" data-level="2.2" data-path="2-literature-review.html"><a href="2-literature-review.html#literature-gap-and-relevance"><i class="fa fa-check"></i><b>2.2</b> Literature gap and relevance</a></li>
</ul></li>
<li class="chapter" data-level="3" data-path="3-impact-analysis.html"><a href="3-impact-analysis.html"><i class="fa fa-check"></i><b>3</b> Impact Analysis</a><ul>
<li class="chapter" data-level="3.1" data-path="3-impact-analysis.html"><a href="3-impact-analysis.html#data-preparation"><i class="fa fa-check"></i><b>3.1</b> Data preparation</a></li>
<li class="chapter" data-level="3.2" data-path="3-impact-analysis.html"><a href="3-impact-analysis.html#global-overview"><i class="fa fa-check"></i><b>3.2</b> Global overview</a></li>
<li class="chapter" data-level="3.3" data-path="3-impact-analysis.html"><a href="3-impact-analysis.html#the-top-10-most-active-and-violent-groups"><i class="fa fa-check"></i><b>3.3</b> The top 10 most active and violent groups</a></li>
<li class="chapter" data-level="3.4" data-path="3-impact-analysis.html"><a href="3-impact-analysis.html#the-major-and-minor-epicenters"><i class="fa fa-check"></i><b>3.4</b> The major and minor epicenters</a></li>
</ul></li>
<li class="chapter" data-level="4" data-path="4-hypothesis-testing.html"><a href="4-hypothesis-testing.html"><i class="fa fa-check"></i><b>4</b> Statistical Hypothesis Testing</a><ul>
<li class="chapter" data-level="4.1" data-path="4-hypothesis-testing.html"><a href="4-hypothesis-testing.html#data-preparation-1"><i class="fa fa-check"></i><b>4.1</b> Data preparation</a></li>
<li class="chapter" data-level="4.2" data-path="4-hypothesis-testing.html"><a href="4-hypothesis-testing.html#correlation-test"><i class="fa fa-check"></i><b>4.2</b> Correlation test</a></li>
<li class="chapter" data-level="4.3" data-path="4-hypothesis-testing.html"><a href="4-hypothesis-testing.html#hypothesis-test-fatalities-vs-groups"><i class="fa fa-check"></i><b>4.3</b> Hypothesis test: fatalities vs groups</a><ul>
<li class="chapter" data-level="4.3.1" data-path="4-hypothesis-testing.html"><a href="4-hypothesis-testing.html#anova-test"><i class="fa fa-check"></i><b>4.3.1</b> ANOVA test</a></li>
<li class="chapter" data-level="4.3.2" data-path="4-hypothesis-testing.html"><a href="4-hypothesis-testing.html#posthoc-test"><i class="fa fa-check"></i><b>4.3.2</b> PostHoc test</a></li>
<li class="chapter" data-level="4.3.3" data-path="4-hypothesis-testing.html"><a href="4-hypothesis-testing.html#interpretation"><i class="fa fa-check"></i><b>4.3.3</b> Interpretation</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="5" data-path="5-pattern-discovery.html"><a href="5-pattern-discovery.html"><i class="fa fa-check"></i><b>5</b> Pattern discovery</a><ul>
<li class="chapter" data-level="5.1" data-path="5-pattern-discovery.html"><a href="5-pattern-discovery.html#data-preparation-2"><i class="fa fa-check"></i><b>5.1</b> Data preparation</a></li>
<li class="chapter" data-level="5.2" data-path="5-pattern-discovery.html"><a href="5-pattern-discovery.html#explanation-of-key-terms"><i class="fa fa-check"></i><b>5.2</b> Explanation of key terms</a></li>
<li class="chapter" data-level="5.3" data-path="5-pattern-discovery.html"><a href="5-pattern-discovery.html#islamic-state-isil"><i class="fa fa-check"></i><b>5.3</b> Islamic State (ISIL)</a><ul>
<li class="chapter" data-level="5.3.1" data-path="5-pattern-discovery.html"><a href="5-pattern-discovery.html#apriori-model-summary"><i class="fa fa-check"></i><b>5.3.1</b> Apriori model summary</a></li>
<li class="chapter" data-level="5.3.2" data-path="5-pattern-discovery.html"><a href="5-pattern-discovery.html#top-5-patterns-isil"><i class="fa fa-check"></i><b>5.3.2</b> Top 5 patterns (ISIL)</a></li>
<li class="chapter" data-level="5.3.3" data-path="5-pattern-discovery.html"><a href="5-pattern-discovery.html#network-graph-isil"><i class="fa fa-check"></i><b>5.3.3</b> Network graph (ISIL)</a></li>
</ul></li>
<li class="chapter" data-level="5.4" data-path="5-pattern-discovery.html"><a href="5-pattern-discovery.html#taliban"><i class="fa fa-check"></i><b>5.4</b> Taliban</a><ul>
<li class="chapter" data-level="5.4.1" data-path="5-pattern-discovery.html"><a href="5-pattern-discovery.html#apriori-model-summary-1"><i class="fa fa-check"></i><b>5.4.1</b> Apriori model summary</a></li>
<li class="chapter" data-level="5.4.2" data-path="5-pattern-discovery.html"><a href="5-pattern-discovery.html#top-5-patterns-taliban"><i class="fa fa-check"></i><b>5.4.2</b> Top 5 patterns (Taliban)</a></li>
<li class="chapter" data-level="5.4.3" data-path="5-pattern-discovery.html"><a href="5-pattern-discovery.html#network-graph-taliban"><i class="fa fa-check"></i><b>5.4.3</b> Network graph (Taliban)</a></li>
</ul></li>
<li class="chapter" data-level="5.5" data-path="5-pattern-discovery.html"><a href="5-pattern-discovery.html#boko-haram"><i class="fa fa-check"></i><b>5.5</b> Boko Haram</a><ul>
<li class="chapter" data-level="5.5.1" data-path="5-pattern-discovery.html"><a href="5-pattern-discovery.html#apriori-model-summary-2"><i class="fa fa-check"></i><b>5.5.1</b> Apriori model summary</a></li>
<li class="chapter" data-level="5.5.2" data-path="5-pattern-discovery.html"><a href="5-pattern-discovery.html#top-5-patterns-boko-haram"><i class="fa fa-check"></i><b>5.5.2</b> Top 5 patterns (Boko Haram)</a></li>
<li class="chapter" data-level="5.5.3" data-path="5-pattern-discovery.html"><a href="5-pattern-discovery.html#network-graph-boko-haram"><i class="fa fa-check"></i><b>5.5.3</b> Network graph (Boko Haram)</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="6" data-path="6-time-series.html"><a href="6-time-series.html"><i class="fa fa-check"></i><b>6</b> Time-series Forecasting</a><ul>
<li class="chapter" data-level="6.1" data-path="6-time-series.html"><a href="6-time-series.html#afghanistan-predict-future-attacks"><i class="fa fa-check"></i><b>6.1</b> Afghanistan (Predict future attacks)</a><ul>
<li class="chapter" data-level="6.1.1" data-path="6-time-series.html"><a href="6-time-series.html#data-preparation-3"><i class="fa fa-check"></i><b>6.1.1</b> Data preparation</a></li>
<li class="chapter" data-level="6.1.2" data-path="6-time-series.html"><a href="6-time-series.html#seasonality-analysis"><i class="fa fa-check"></i><b>6.1.2</b> Seasonality analysis</a></li>
<li class="chapter" data-level="6.1.3" data-path="6-time-series.html"><a href="6-time-series.html#correlation-test-1"><i class="fa fa-check"></i><b>6.1.3</b> Correlation test</a></li>
<li class="chapter" data-level="6.1.4" data-path="6-time-series.html"><a href="6-time-series.html#modelling"><i class="fa fa-check"></i><b>6.1.4</b> Modelling</a></li>
<li class="chapter" data-level="6.1.5" data-path="6-time-series.html"><a href="6-time-series.html#evaluating-models-performance"><i class="fa fa-check"></i><b>6.1.5</b> Evaluating models’ Performance</a></li>
<li class="chapter" data-level="6.1.6" data-path="6-time-series.html"><a href="6-time-series.html#ensemble"><i class="fa fa-check"></i><b>6.1.6</b> Ensemble</a></li>
<li class="chapter" data-level="6.1.7" data-path="6-time-series.html"><a href="6-time-series.html#forecast-future-number-of-attacks"><i class="fa fa-check"></i><b>6.1.7</b> Forecast future number of attacks</a></li>
</ul></li>
<li class="chapter" data-level="6.2" data-path="6-time-series.html"><a href="6-time-series.html#iraq-predict-future-fatalities"><i class="fa fa-check"></i><b>6.2</b> Iraq (Predict future fatalities)</a><ul>
<li class="chapter" data-level="6.2.1" data-path="6-time-series.html"><a href="6-time-series.html#data-preparation-4"><i class="fa fa-check"></i><b>6.2.1</b> Data preparation</a></li>
<li class="chapter" data-level="6.2.2" data-path="6-time-series.html"><a href="6-time-series.html#seasonality-analysis-1"><i class="fa fa-check"></i><b>6.2.2</b> Seasonality analysis</a></li>
<li class="chapter" data-level="6.2.3" data-path="6-time-series.html"><a href="6-time-series.html#correlation-test-2"><i class="fa fa-check"></i><b>6.2.3</b> Correlation test</a></li>
<li class="chapter" data-level="6.2.4" data-path="6-time-series.html"><a href="6-time-series.html#modelling-1"><i class="fa fa-check"></i><b>6.2.4</b> Modelling</a></li>
<li class="chapter" data-level="6.2.5" data-path="6-time-series.html"><a href="6-time-series.html#ensemble-1"><i class="fa fa-check"></i><b>6.2.5</b> Ensemble</a></li>
<li class="chapter" data-level="6.2.6" data-path="6-time-series.html"><a href="6-time-series.html#forecast-future-fatalities"><i class="fa fa-check"></i><b>6.2.6</b> Forecast future fatalities</a></li>
</ul></li>
<li class="chapter" data-level="6.3" data-path="6-time-series.html"><a href="6-time-series.html#sahel-region-predict-future-attacks"><i class="fa fa-check"></i><b>6.3</b> SAHEL Region (Predict future attacks)</a><ul>
<li class="chapter" data-level="6.3.1" data-path="6-time-series.html"><a href="6-time-series.html#data-preparation-5"><i class="fa fa-check"></i><b>6.3.1</b> Data preparation</a></li>
<li class="chapter" data-level="6.3.2" data-path="6-time-series.html"><a href="6-time-series.html#seasonality-analysis-2"><i class="fa fa-check"></i><b>6.3.2</b> Seasonality analysis</a></li>
<li class="chapter" data-level="6.3.3" data-path="6-time-series.html"><a href="6-time-series.html#correlation-test-3"><i class="fa fa-check"></i><b>6.3.3</b> Correlation test</a></li>
<li class="chapter" data-level="6.3.4" data-path="6-time-series.html"><a href="6-time-series.html#modelling-2"><i class="fa fa-check"></i><b>6.3.4</b> Modelling</a></li>
<li class="chapter" data-level="6.3.5" data-path="6-time-series.html"><a href="6-time-series.html#ensemble-2"><i class="fa fa-check"></i><b>6.3.5</b> Ensemble</a></li>
<li class="chapter" data-level="6.3.6" data-path="6-time-series.html"><a href="6-time-series.html#forecast-future-attacks"><i class="fa fa-check"></i><b>6.3.6</b> Forecast future attacks</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="7" data-path="7-classification.html"><a href="7-classification.html"><i class="fa fa-check"></i><b>7</b> Predicting Class Probabilities</a><ul>
<li class="chapter" data-level="7.1" data-path="7-classification.html"><a href="7-classification.html#evolution-of-gradient-boosting-machines"><i class="fa fa-check"></i><b>7.1</b> Evolution of Gradient Boosting Machines</a><ul>
<li class="chapter" data-level="7.1.1" data-path="7-classification.html"><a href="7-classification.html#lightgbm"><i class="fa fa-check"></i><b>7.1.1</b> LightGBM</a></li>
<li class="chapter" data-level="7.1.2" data-path="7-classification.html"><a href="7-classification.html#the-mechanism-behind-the-improvised-accuracy"><i class="fa fa-check"></i><b>7.1.2</b> The mechanism behind the improvised accuracy</a></li>
</ul></li>
<li class="chapter" data-level="7.2" data-path="7-classification.html"><a href="7-classification.html#data-preparation-6"><i class="fa fa-check"></i><b>7.2</b> Data preparation</a></li>
<li class="chapter" data-level="7.3" data-path="7-classification.html"><a href="7-classification.html#overview-of-the-target-variable"><i class="fa fa-check"></i><b>7.3</b> Overview of the target variable</a><ul>
<li class="chapter" data-level="7.3.1" data-path="7-classification.html"><a href="7-classification.html#dealing-with-class-imbalance"><i class="fa fa-check"></i><b>7.3.1</b> Dealing with class imbalance</a></li>
</ul></li>
<li class="chapter" data-level="7.4" data-path="7-classification.html"><a href="7-classification.html#feature-engineering"><i class="fa fa-check"></i><b>7.4</b> Feature engineering</a></li>
<li class="chapter" data-level="7.5" data-path="7-classification.html"><a href="7-classification.html#validation-strategy"><i class="fa fa-check"></i><b>7.5</b> Validation strategy</a></li>
<li class="chapter" data-level="7.6" data-path="7-classification.html"><a href="7-classification.html#hyperparameter-optimization"><i class="fa fa-check"></i><b>7.6</b> Hyperparameter optimization</a></li>
<li class="chapter" data-level="7.7" data-path="7-classification.html"><a href="7-classification.html#modelling-3"><i class="fa fa-check"></i><b>7.7</b> Modelling</a><ul>
<li class="chapter" data-level="7.7.1" data-path="7-classification.html"><a href="7-classification.html#model-evaluation"><i class="fa fa-check"></i><b>7.7.1</b> Model evaluation</a></li>
<li class="chapter" data-level="7.7.2" data-path="7-classification.html"><a href="7-classification.html#confusion-matrix"><i class="fa fa-check"></i><b>7.7.2</b> Confusion Matrix</a></li>
<li class="chapter" data-level="7.7.3" data-path="7-classification.html"><a href="7-classification.html#feature-importance"><i class="fa fa-check"></i><b>7.7.3</b> Feature importance</a></li>
</ul></li>
<li class="chapter" data-level="7.8" data-path="7-classification.html"><a href="7-classification.html#model-interpretation"><i class="fa fa-check"></i><b>7.8</b> Model interpretation</a></li>
</ul></li>
<li class="chapter" data-level="8" data-path="8-conclusion.html"><a href="8-conclusion.html"><i class="fa fa-check"></i><b>8</b> Discussion and Conclusion</a><ul>
<li class="chapter" data-level="8.1" data-path="8-conclusion.html"><a href="8-conclusion.html#research-limitations-and-future-work"><i class="fa fa-check"></i><b>8.1</b> Research limitations and future work</a></li>
</ul></li>
<li class="appendix"><span><b>Appendix</b></span></li>
<li class="chapter" data-level="A" data-path="A-appendix-i.html"><a href="A-appendix-i.html"><i class="fa fa-check"></i><b>A</b> Appendix I</a><ul>
<li class="chapter" data-level="A.1" data-path="A-appendix-i.html"><a href="A-appendix-i.html#initial-data-preparation-script"><i class="fa fa-check"></i><b>A.1</b> Initial data preparation script</a></li>
<li class="chapter" data-level="A.2" data-path="A-appendix-i.html"><a href="A-appendix-i.html#list-of-variables-and-short-description"><i class="fa fa-check"></i><b>A.2</b> List of variables and short description</a></li>
<li class="chapter" data-level="A.3" data-path="A-appendix-i.html"><a href="A-appendix-i.html#r-session-info"><i class="fa fa-check"></i><b>A.3</b> R Session Info:</a></li>
</ul></li>
<li class="chapter" data-level="" data-path="references.html"><a href="references.html"><i class="fa fa-check"></i>References</a></li>
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<i class="fa fa-circle-o-notch fa-spin"></i><a href="./">Chasing The Trajectory of Terrorism: A Machine Learning Based Approach to Achieve Open Source Intelligence</a>
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<section class="normal" id="section-">
<div id="appendix-i" class="section level1">
<h1><span class="header-section-number">A</span> Appendix I</h1>
<div id="initial-data-preparation-script" class="section level2">
<h2><span class="header-section-number">A.1</span> Initial data preparation script</h2>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="cf">if</span> (<span class="op">!</span><span class="kw">require</span>(<span class="st">"pacman"</span>)) <span class="kw">install.packages</span>(<span class="st">"pacman"</span>)
pacman<span class="op">::</span><span class="kw">p_load</span>(knitr, pryr, openxlsx, tidyverse,
data.table, DT, DescTools, RCurl, countrycode)
<span class="kw">options</span>(<span class="dt">warn =</span> <span class="op">-</span><span class="dv">1</span>, <span class="dt">digits =</span> <span class="dv">4</span>, <span class="dt">scipen =</span> <span class="dv">999</span>)
<span class="co">#------------------------------------------------------------</span>
<span class="co">#External data (country geocodes to replace missing lat lons)</span>
<span class="co">#------------------------------------------------------------</span>
geocodes <-<span class="kw">fread</span>(<span class="st">"https://github.com/oughton/geocode/raw/master/example/result.csv"</span>)<span class="op">%>%</span>
<span class="st"> </span><span class="kw">select</span>(<span class="dt">country =</span> V1, <span class="dt">country_latitude =</span> V2, <span class="dt">country_longitude =</span> V3) <span class="op">%>%</span>
<span class="st"> </span><span class="kw">mutate</span>(<span class="dt">ISO =</span> <span class="kw">countrycode</span>(country, <span class="st">'country.name'</span>, <span class="st">'iso3c'</span>)) <span class="op">%>%</span>
<span class="st"> </span><span class="kw">filter</span>(<span class="op">!</span><span class="kw">is.na</span>(ISO)) <span class="op">%>%</span>
<span class="st"> </span><span class="kw">select</span>(ISO, country_latitude, country_longitude)
<span class="kw">saveRDS</span>(geocodes, <span class="st">"country_geocodes.rds"</span>)
country_geocodes <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"country_geocodes.rds"</span>)
<span class="co">#---------------------------------------</span>
<span class="co">#data preparation (GTD)</span>
<span class="co">#---------------------------------------</span>
tmp <-<span class="st"> </span><span class="kw">read.xlsx</span>(<span class="st">"data/data_preparation/globalterrorismdb_0617dist.xlsx"</span>,
<span class="dt">sheet =</span> <span class="dv">1</span>, <span class="dt">colNames =</span> <span class="ot">TRUE</span>) <span class="op">%>%</span><span class="st"> </span>
<span class="st"> </span><span class="kw">select</span>(eventid,
<span class="dt">year =</span> iyear,
<span class="dt">month =</span> imonth,
<span class="dt">day =</span> iday,
<span class="dt">country =</span> country_txt,
<span class="dt">region =</span> region_txt,
provstate,
city,
latitude, <span class="co"># 2.7% NAs will be replaced with country level geocodes</span>
longitude,
<span class="dt">attack_type =</span> attacktype1_txt,
<span class="dt">weapon_type =</span> weaptype1_txt,
<span class="dt">target_type =</span> targtype1_txt,
<span class="dt">target_nalty=</span> natlty1_txt,
<span class="dt">group_name =</span> gname,
nkill, <span class="co"># 5% NAs</span>
nwound, <span class="co"># 9% NAs</span>
extended,
<span class="dt">crit1_pol_eco_rel_soc =</span> crit1,
<span class="dt">crit2_publicize =</span> crit2,
<span class="dt">crit3_os_intl_hmn_law =</span> crit3,
<span class="dt">part_of_multiple_attacks =</span> multiple,
<span class="dt">attack_success =</span> success,
<span class="dt">suicide_attack =</span> suicide,
<span class="dt">individual_attack =</span> individual,
<span class="dt">intl_logistical_attack =</span> INT_LOG,
<span class="dt">intl_ideological_attack =</span> INT_IDEO
) <span class="op">%>%</span>
<span class="st"> </span><span class="kw">replace_na</span>(<span class="kw">list</span>(<span class="dt">provstate =</span> <span class="st">"unknown"</span>, <span class="co"># replace nas with unknown</span>
<span class="dt">city =</span> <span class="st">"unknown"</span>,
<span class="dt">target_nalty =</span> <span class="st">"unknown"</span>)) <span class="op">%>%</span>
<span class="st"> </span><span class="kw">mutate</span>(<span class="dt">ISO =</span> <span class="kw">countrycode</span>(country, <span class="st">'country.name'</span>, <span class="st">'iso3c'</span>), <span class="co">#standardize country name</span>
<span class="dt">month =</span> <span class="kw">if_else</span>(month <span class="op">==</span><span class="st"> </span><span class="dv">0</span>, <span class="dv">1</span>, month),<span class="co">#replace unknown month to 1 in 20 occurences </span>
<span class="dt">day =</span> <span class="kw">if_else</span>(day <span class="op">==</span><span class="st"> </span><span class="dv">0</span>, <span class="dv">1</span>, day), <span class="co">#replace unknown day to 1 in 891 occurences</span>
<span class="dt">date =</span> <span class="kw">paste</span>(year, month, day, <span class="dt">sep=</span><span class="st">"-"</span>),
<span class="dt">date =</span> <span class="kw">as.Date</span>(date, <span class="dt">format =</span> <span class="st">"%Y-%m-%d"</span>),
<span class="dt">weapon_type =</span> <span class="kw">if_else</span>(
weapon_type <span class="op">==</span><span class="st"> "Vehicle (not to include vehicle-borne</span>
<span class="st"> explosives, i.e., car or truck bombs)"</span>,
<span class="st">"Vehicle"</span>, weapon_type)) <span class="op">%>%</span><span class="st"> </span><span class="co"># shorten lengthy name</span>
<span class="st"> </span><span class="kw">left_join</span>(country_geocodes) <span class="op">%>%</span><span class="st"> </span>
<span class="st"> </span><span class="kw">mutate</span>(<span class="dt">latitude =</span> <span class="kw">ifelse</span>(<span class="kw">is.na</span>(latitude), country_latitude,
latitude), <span class="co"># replace missing lat lons with country lat lons</span>
<span class="dt">longitude =</span> <span class="kw">ifelse</span>(<span class="kw">is.na</span>(longitude), country_longitude, longitude)) <span class="op">%>%</span>
<span class="st"> </span><span class="kw">select</span>(<span class="op">-</span><span class="kw">c</span>(country_latitude, country_longitude)) <span class="op">%>%</span>
<span class="st"> </span><span class="co"># replace missing lat lons in remaining (~14) disputed/dissolved countries </span>
<span class="st"> </span><span class="co"># with country level lat long from prev obs</span>
<span class="st"> </span><span class="kw">mutate</span>(
<span class="dt">latitude =</span> <span class="kw">if_else</span>(<span class="kw">is.na</span>(latitude) <span class="op">&</span><span class="st"> </span>country <span class="op">==</span><span class="st"> </span>
<span class="st"> "People's Republic of the Congo"</span>, <span class="op">-</span><span class="fl">0.2</span>, latitude),
<span class="dt">longitude =</span> <span class="kw">if_else</span>(<span class="kw">is.na</span>(longitude) <span class="op">&</span><span class="st"> </span>country <span class="op">==</span><span class="st"> </span>
<span class="st"> "People's Republic of the Congo"</span>, <span class="fl">15.8</span>, longitude),
<span class="dt">latitude =</span> <span class="kw">if_else</span>(<span class="kw">is.na</span>(latitude) <span class="op">&</span><span class="st"> </span>country <span class="op">==</span><span class="st"> </span>
<span class="st"> "Democratic Republic of the Congo"</span>, <span class="op">-</span><span class="fl">4.0</span>, latitude),
<span class="dt">longitude =</span> <span class="kw">if_else</span>(<span class="kw">is.na</span>(longitude) <span class="op">&</span><span class="st"> </span>country <span class="op">==</span><span class="st"> </span>
<span class="st"> "Democratic Republic of the Congo"</span>, <span class="fl">21.7</span>, longitude),
<span class="dt">latitude =</span> <span class="kw">if_else</span>(<span class="kw">is.na</span>(latitude) <span class="op">&</span><span class="st"> </span>country <span class="op">==</span><span class="st"> </span>
<span class="st"> "North Yemen"</span>, <span class="fl">15.5</span>, latitude),
<span class="dt">longitude =</span> <span class="kw">if_else</span>(<span class="kw">is.na</span>(longitude) <span class="op">&</span><span class="st"> </span>country <span class="op">==</span><span class="st"> </span>
<span class="st"> "North Yemen"</span>, <span class="fl">48.5</span>, longitude),
<span class="dt">latitude =</span> <span class="kw">if_else</span>(<span class="kw">is.na</span>(latitude) <span class="op">&</span><span class="st"> </span>country <span class="op">==</span><span class="st"> </span>
<span class="st"> "South Yemen"</span>, <span class="fl">12.8</span>, latitude),
<span class="dt">longitude =</span> <span class="kw">if_else</span>(<span class="kw">is.na</span>(longitude) <span class="op">&</span><span class="st"> </span>country <span class="op">==</span><span class="st"> </span>
<span class="st"> "South Yemen"</span>, <span class="fl">45.0</span>, longitude),
<span class="dt">latitude =</span> <span class="kw">if_else</span>(<span class="kw">is.na</span>(latitude) <span class="op">&</span><span class="st"> </span>country <span class="op">==</span><span class="st"> </span>
<span class="st"> "Western Sahara"</span>, <span class="fl">27.4</span>, latitude),
<span class="dt">longitude =</span> <span class="kw">if_else</span>(<span class="kw">is.na</span>(longitude) <span class="op">&</span><span class="st"> </span>country <span class="op">==</span><span class="st"> </span>
<span class="st"> "Western Sahara"</span>, <span class="op">-</span><span class="fl">9.0</span>, longitude),
<span class="dt">latitude =</span> <span class="kw">if_else</span>(<span class="kw">is.na</span>(latitude) <span class="op">&</span><span class="st"> </span>country <span class="op">==</span><span class="st"> </span>
<span class="st"> "Guadeloupe"</span>, <span class="fl">16.2</span>, latitude),
<span class="dt">longitude =</span> <span class="kw">if_else</span>(<span class="kw">is.na</span>(longitude) <span class="op">&</span><span class="st"> </span>country <span class="op">==</span><span class="st"> </span>
<span class="st"> "Guadeloupe"</span>, <span class="op">-</span><span class="fl">61.5</span>, longitude),
<span class="dt">latitude =</span> <span class="kw">if_else</span>(<span class="kw">is.na</span>(latitude) <span class="op">&</span><span class="st"> </span>country <span class="op">==</span><span class="st"> </span>
<span class="st"> "New Caledonia"</span>, <span class="op">-</span><span class="fl">20.9</span>, latitude),
<span class="dt">longitude =</span> <span class="kw">if_else</span>(<span class="kw">is.na</span>(longitude) <span class="op">&</span><span class="st"> </span>country <span class="op">==</span><span class="st"> </span>
<span class="st"> "New Caledonia"</span>, <span class="fl">165.6</span>, longitude),
<span class="dt">latitude =</span> <span class="kw">if_else</span>(<span class="kw">is.na</span>(latitude) <span class="op">&</span><span class="st"> </span>country <span class="op">==</span><span class="st"> "Martinique"</span>, <span class="fl">14.6</span>, latitude),
<span class="dt">longitude =</span> <span class="kw">if_else</span>(<span class="kw">is.na</span>(longitude) <span class="op">&</span><span class="st"> </span>country <span class="op">==</span><span class="st"> "Martinique"</span>, <span class="op">-</span><span class="fl">61.0</span>, longitude),
<span class="dt">latitude =</span> <span class="kw">if_else</span>(<span class="kw">is.na</span>(latitude) <span class="op">&</span><span class="st"> </span>country <span class="op">==</span><span class="st"> "Zaire"</span>, <span class="op">-</span><span class="fl">2.5</span>, latitude),
<span class="dt">longitude =</span> <span class="kw">if_else</span>(<span class="kw">is.na</span>(longitude) <span class="op">&</span><span class="st"> </span>country <span class="op">==</span><span class="st"> "Zaire"</span>, <span class="fl">28.8</span>, longitude),
<span class="dt">latitude =</span> <span class="kw">if_else</span>(<span class="kw">is.na</span>(latitude) <span class="op">&</span><span class="st"> </span>country <span class="op">==</span><span class="st"> "Kosovo"</span>, <span class="fl">43.1</span>, latitude),
<span class="dt">longitude =</span> <span class="kw">if_else</span>(<span class="kw">is.na</span>(longitude) <span class="op">&</span><span class="st"> </span>country <span class="op">==</span><span class="st"> "Kosovo"</span>, <span class="fl">20.7</span>, longitude),
<span class="dt">latitude =</span> <span class="kw">if_else</span>(<span class="kw">is.na</span>(latitude) <span class="op">&</span><span class="st"> </span>country <span class="op">==</span><span class="st"> </span>
<span class="st"> "Czechoslovakia"</span>, <span class="fl">50.6</span>, latitude),
<span class="dt">longitude =</span> <span class="kw">if_else</span>(<span class="kw">is.na</span>(longitude) <span class="op">&</span><span class="st"> </span>country <span class="op">==</span><span class="st"> </span>
<span class="st"> "Czechoslovakia"</span>, <span class="fl">14.0</span>, longitude),
<span class="dt">latitude =</span> <span class="kw">if_else</span>(<span class="kw">is.na</span>(latitude) <span class="op">&</span><span class="st"> </span>country <span class="op">==</span><span class="st"> "Yugoslavia"</span>, <span class="fl">42.5</span>, latitude),
<span class="dt">longitude =</span> <span class="kw">if_else</span>(<span class="kw">is.na</span>(longitude) <span class="op">&</span><span class="st"> </span>country <span class="op">==</span><span class="st"> "Yugoslavia"</span>, <span class="fl">20.5</span>, longitude)
)
<span class="co">#--------------------------------------------------------------</span>
<span class="co">#External data (World Devlopment Indicators from worldbank api)</span>
<span class="co">#--------------------------------------------------------------</span>
<span class="kw">WDIsearch</span>(<span class="st">'conflict'</span>) <span class="co"># enter search text and extract code</span>
ind =<span class="st"> </span><span class="kw">c</span>(
<span class="st">"arms_export"</span> =<span class="st"> "MS.MIL.XPRT.KD"</span>, <span class="co"># Arms exports (SIPRI trend indicator values)</span>
<span class="st">"arms_import"</span> =<span class="st"> "MS.MIL.MPRT.KD"</span>, <span class="co"># Arms imports (SIPRI trend indicator values)</span>
<span class="st">"population"</span> =<span class="st"> "SP.POP.TOTL"</span>, <span class="co"># Population, total</span>
<span class="st">"gdp_per_capita"</span> =<span class="st"> "NY.GDP.PCAP.KD"</span>,<span class="co"># GDP per capita (constant 2010 US$)</span>
<span class="st">"refugee_origin"</span> =<span class="st"> "SM.POP.REFG.OR"</span>,<span class="co"># Refugee population by country of origin</span>
<span class="st">"refugee_asylum"</span> =<span class="st"> "SM.POP.REFG"</span>, <span class="co"># Refugee population by country of asylum</span>
<span class="st">"net_migration"</span> =<span class="st"> "SM.POP.NETM"</span>, <span class="co"># Net migration</span>
<span class="st">"n_peace_keepers"</span> =<span class="st"> "VC.PKP.TOTL.UN"</span>,<span class="co"># Presence of peace keepers </span>
<span class="st">"conflict_index"</span> =<span class="st"> "IC.PI.CIR"</span>) <span class="co"># conflict index (0-10)</span>
countries_vec <-<span class="st"> </span><span class="kw">as.vector</span>(<span class="kw">unique</span>(df<span class="op">$</span>ISO)) <span class="co"># countries in gtd dataset</span>
wdi_data <-<span class="st"> </span><span class="kw">WDI</span>(<span class="dt">indicator =</span> ind, <span class="dt">start =</span> <span class="dv">1970</span>, <span class="dt">end =</span> <span class="dv">2016</span>, <span class="dt">extra =</span> <span class="ot">TRUE</span>) <span class="op">%>%</span>
<span class="st"> </span><span class="kw">select</span>(year, <span class="dt">ISO =</span> iso3c, arms_export, arms_import, population,
gdp_per_capita, refugee_origin, refugee_asylum, net_migration,
n_peace_keepers, conflict_index) <span class="op">%>%</span><span class="st"> </span>
<span class="st"> </span><span class="kw">drop_na</span>(ISO) <span class="op">%>%</span>
<span class="st"> </span><span class="kw">filter</span>(ISO <span class="op">%in%</span><span class="st"> </span>countries_vec) <span class="op">%>%</span>
<span class="st"> </span><span class="co"># replacing NAs for visualization and modelling purpose</span>
<span class="st"> </span><span class="kw">replace_na</span>(<span class="kw">list</span>(<span class="dt">arms_export =</span> <span class="dv">0</span>,
<span class="dt">arms_import =</span> <span class="dv">0</span>,
<span class="dt">population =</span> <span class="op">-</span><span class="dv">1</span>,
<span class="dt">gdp_per_capita =</span> <span class="dv">0</span>,
<span class="dt">refugee_origin =</span> <span class="dv">0</span>,
<span class="dt">refugee_asylum =</span> <span class="dv">0</span>,
<span class="dt">net_migration =</span> <span class="dv">0</span>,
<span class="dt">n_peace_keepers =</span> <span class="dv">0</span>,
<span class="dt">conflict_index =</span> <span class="op">-</span><span class="dv">1</span>))
df <-<span class="st"> </span>df <span class="op">%>%</span><span class="st"> </span><span class="kw">left_join</span>(wdi_data)
<span class="kw">saveRDS</span>(df, <span class="st">"gtd_clean_v2.rds"</span>)
<span class="co"># move all data to: gtd_eda/index/data path for shiny and thesis writing</span>
<span class="co"># "df" is the main file used throughout this research</span>
<span class="co">#---------------------------------------</span>
<span class="co"># iso3c file for worldmap</span>
<span class="co">#---------------------------------------</span>
countries <-<span class="st"> </span>df <span class="op">%>%</span><span class="st"> </span><span class="kw">group_by</span>(country) <span class="op">%>%</span><span class="st"> </span><span class="kw">summarise</span>(<span class="dt">total =</span> <span class="kw">round</span>(<span class="kw">n</span>()))
countries<span class="op">$</span>iso3 <-<span class="st"> </span><span class="kw">countrycode</span>(countries<span class="op">$</span>country,
<span class="dt">origin =</span> <span class="st">"country.name"</span>, <span class="dt">destination =</span> <span class="st">"iso3c"</span>)
<span class="kw">saveRDS</span>(countries, <span class="st">"countries.rds"</span>)</code></pre></div>
</div>
<div id="list-of-variables-and-short-description" class="section level2">
<h2><span class="header-section-number">A.2</span> List of variables and short description</h2>
<table class="table" style="font-size: 12px; width: auto !important; ">
<caption style="font-size: initial !important;">
<span id="tab:unnamed-chunk-141">Table A.1: </span>Short description of important variables
</caption>
<thead>
<tr>
<th style="text-align:left;">
Name of the Variable
</th>
<th style="text-align:left;">
description
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
eventid
</td>
<td style="text-align:left;">
a 12-digit Event ID
</td>
</tr>
<tr>
<td style="text-align:left;">
year
</td>
<td style="text-align:left;">
year in which the incident occurred
</td>
</tr>
<tr>
<td style="text-align:left;">
month
</td>
<td style="text-align:left;">
month
</td>
</tr>
<tr>
<td style="text-align:left;">
day
</td>
<td style="text-align:left;">
day
</td>
</tr>
<tr>
<td style="text-align:left;">
country
</td>
<td style="text-align:left;">
country
</td>
</tr>
<tr>
<td style="text-align:left;">
region
</td>
<td style="text-align:left;">
world region
</td>
</tr>
<tr>
<td style="text-align:left;">
provstate
</td>
<td style="text-align:left;">
an administrative division or unit of a country
</td>
</tr>
<tr>
<td style="text-align:left;">
city
</td>
<td style="text-align:left;">
city
</td>
</tr>
<tr>
<td style="text-align:left;">
latitude
</td>
<td style="text-align:left;">
latitude
</td>
</tr>
<tr>
<td style="text-align:left;">
longitude
</td>
<td style="text-align:left;">
longitude
</td>
</tr>
<tr>
<td style="text-align:left;">
attack_type
</td>
<td style="text-align:left;">
method of attack (reflects the broad class of tactics used)
</td>
</tr>
<tr>
<td style="text-align:left;">
weapon_type
</td>
<td style="text-align:left;">
type of weapon used in the incident
</td>
</tr>
<tr>
<td style="text-align:left;">
target_type
</td>
<td style="text-align:left;">
type of target/victim
</td>
</tr>
<tr>
<td style="text-align:left;">
target_nalty
</td>
<td style="text-align:left;">
nationality of the target that was attacked
</td>
</tr>
<tr>
<td style="text-align:left;">
group_name
</td>
<td style="text-align:left;">
name of the group that carried out the attack
</td>
</tr>
<tr>
<td style="text-align:left;">
nkill
</td>
<td style="text-align:left;">
number of total confirmed fatalities for the incident
</td>
</tr>
<tr>
<td style="text-align:left;">
nwound
</td>
<td style="text-align:left;">
number of confirmed non-fatal injuries
</td>
</tr>
<tr>
<td style="text-align:left;">
extended
</td>
<td style="text-align:left;">
whether or not an incident extended more than 24 hours
</td>
</tr>
<tr>
<td style="text-align:left;">
crit1_pol_eco_rel_soc
</td>
<td style="text-align:left;">
political, economic, religious, or social goal
</td>
</tr>
<tr>
<td style="text-align:left;">
crit2_publicize
</td>
<td style="text-align:left;">
intention to coerce, or publicize to larger audience
</td>
</tr>
<tr>
<td style="text-align:left;">
crit3_os_intl_hmn_law
</td>
<td style="text-align:left;">
action from the incident is outside intl humanitarian law
</td>
</tr>
<tr>
<td style="text-align:left;">
part_of_multiple_attacks
</td>
<td style="text-align:left;">
whether an incident being part of multiple attacks
</td>
</tr>
<tr>
<td style="text-align:left;">
attack_success
</td>
<td style="text-align:left;">
suicide attack
</td>
</tr>
<tr>
<td style="text-align:left;">
suicide_attack
</td>
<td style="text-align:left;">
whether an incident was successful
</td>
</tr>
<tr>
<td style="text-align:left;">
individual_attack
</td>
<td style="text-align:left;">
whether an attack carried out by unaffiliated Individual(s)
</td>
</tr>
<tr>
<td style="text-align:left;">
intl_logistical_attack
</td>
<td style="text-align:left;">
cross border incident
</td>
</tr>
<tr>
<td style="text-align:left;">
intl_ideological_attack
</td>
<td style="text-align:left;">
attack on target of a different nationality
</td>
</tr>
<tr>
<td style="text-align:left;">
ISO
</td>
<td style="text-align:left;">
ISO code for country
</td>
</tr>
<tr>
<td style="text-align:left;">
date
</td>
<td style="text-align:left;">
Approx. date of incident
</td>
</tr>
<tr>
<td style="text-align:left;">
arms_export
</td>
<td style="text-align:left;">
Arms exports (SIPRI trend indicator values)
</td>
</tr>
<tr>
<td style="text-align:left;">
arms_import
</td>
<td style="text-align:left;">
Arms imports (SIPRI trend indicator values)
</td>
</tr>
<tr>
<td style="text-align:left;">
population
</td>
<td style="text-align:left;">
Population, total
</td>
</tr>
<tr>
<td style="text-align:left;">
gdp_per_capita
</td>
<td style="text-align:left;">
GDP per capita (constant 2010 US$)
</td>
</tr>
<tr>
<td style="text-align:left;">
refugee_origin
</td>
<td style="text-align:left;">
Refugee population by country or territory of origin
</td>
</tr>
<tr>
<td style="text-align:left;">
refugee_asylum
</td>
<td style="text-align:left;">
Refugee population by country or territory of asylum
</td>
</tr>
<tr>
<td style="text-align:left;">
net_migration
</td>
<td style="text-align:left;">
Net migration
</td>
</tr>
<tr>
<td style="text-align:left;">
n_peace_keepers
</td>
<td style="text-align:left;">
Presence of peace keepers
</td>
</tr>
<tr>
<td style="text-align:left;">
conflict_index
</td>
<td style="text-align:left;">
Extent of conflict of interest regulation index (0-10)
</td>
</tr>
</tbody>
</table>
</div>
<div id="r-session-info" class="section level2">
<h2><span class="header-section-number">A.3</span> R Session Info:</h2>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">sessionInfo</span>()</code></pre></div>
<pre><code>R version 3.5.0 (2018-04-23)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 17134)
Matrix products: default
locale:
[1] LC_COLLATE=English_United Kingdom.1252
[2] LC_CTYPE=English_United Kingdom.1252
[3] LC_MONETARY=English_United Kingdom.1252
[4] LC_NUMERIC=C
[5] LC_TIME=English_United Kingdom.1252
attached base packages:
[1] parallel grid stats graphics grDevices utils datasets
[8] methods base
other attached packages:
[1] bindrcpp_0.2.2 ggthemes_3.5.0
[3] servr_0.10 lightgbm_2.1.2
[5] R6_2.2.2 pROC_1.12.1
[7] caret_6.0-80 lattice_0.20-35
[9] eply_0.1.2 maps_3.3.0
[11] maptools_0.9-2 sp_1.3-1
[13] ggmap_2.6.1 shiny_1.1.0
[15] treemapify_2.5.0 WDI_2.5
[17] RJSONIO_1.3-0 imputeTS_2.7
[19] tseries_0.10-45 forecast_8.4
[21] tidyquant_0.5.5 forcats_0.3.0
[23] purrr_0.2.5 readr_1.1.1
[25] tidyr_0.8.1 tibble_1.4.2
[27] tidyverse_1.2.1 quantmod_0.4-13
[29] TTR_0.23-3 PerformanceAnalytics_1.5.2
[31] xts_0.10-2 zoo_1.8-2
[33] timetk_0.1.1 TSstudio_0.1.1.9000
[35] igraph_1.2.1 visNetwork_2.0.4
[37] arulesViz_1.3-1 arules_1.6-1
[39] Matrix_1.2-14 d3heatmap_0.6.1.2
[41] treemap_2.4-2 highcharter_0.6.0
[43] plotly_4.7.1.9000 ggfortify_0.4.5
[45] RColorBrewer_1.1-2 viridis_0.5.1
[47] viridisLite_0.3.0 leaflet.extras_1.0.0
[49] leaflet_2.0.1 countrycode_1.00.0
[51] lubridate_1.7.4 scales_0.5.0
[53] StandardizeText_1.0 GGally_1.4.0
[55] DescTools_0.99.24 R.utils_2.6.0
[57] R.oo_1.22.0 R.methodsS3_1.7.1
[59] kableExtra_0.9.0 tictoc_1.0
[61] pryr_0.1.4 reshape_0.8.7
[63] stringi_1.1.7 stringr_1.3.1
[65] RCurl_1.95-4.10 bitops_1.0-6
[67] openxlsx_4.1.0 DT_0.4.15
[69] data.table_1.11.4 pacman_0.4.6
[71] thesisdown_0.0.2 knitr_1.20
[73] bookdown_0.7.13 ggplot2_3.0.0.9000
[75] dplyr_0.7.5 devtools_1.13.5
loaded via a namespace (and not attached):
[1] prabclus_2.2-6 ModelMetrics_1.1.0 rpart_4.1-13
[4] ggfittext_0.6.0 rlist_0.4.6.1 xml2_1.2.0
[7] httpuv_1.4.4.1 assertthat_0.2.0 gower_0.1.2
[10] xfun_0.2.9 hms_0.4.2 evaluate_0.10.1
[13] promises_1.0.1 TSP_1.1-6 DEoptimR_1.0-8
[16] caTools_1.17.1 dendextend_1.8.0 readxl_1.1.0
[19] htmlwidgets_1.2.1 Quandl_2.8.0 ddalpha_1.3.4
[22] stats4_3.5.0 crosstalk_1.0.0 colormap_0.1.4
[25] backports_1.1.2 V8_1.5 trimcluster_0.1-2
[28] gridBase_0.4-7 geosphere_1.5-7 abind_1.4-5
[31] withr_2.1.2 sfsmisc_1.1-2 robustbase_0.93-1
[34] vcd_1.4-4 gclus_1.3.1 mclust_5.4
[37] mnormt_1.5-5 cluster_2.0.7-1 lazyeval_0.2.1
[40] urca_1.3-0 crayon_1.3.4 labeling_0.3
[43] recipes_0.1.3 pkgconfig_2.0.1 nlme_3.1-137
[46] seriation_1.2-3 nnet_7.3-12 bindr_0.1.1
[49] rlang_0.2.1 diptest_0.75-7 pls_2.6-0
[52] stinepack_1.3 registry_0.5 modelr_0.1.2
[55] cellranger_1.1.0 rprojroot_1.3-2 lmtest_0.9-36
[58] boot_1.3-20 base64enc_0.1-3 whisker_0.3-2
[61] png_0.1-7 rjson_0.2.20 KernSmooth_2.23-15
[64] DRR_0.0.3 jpeg_0.1-8 memoise_1.1.0
[67] magrittr_1.5 plyr_1.8.4 gplots_3.0.1
[70] gdata_2.18.0 compiler_3.5.0 dimRed_0.1.0
[73] cli_1.0.0 magic_1.5-8 MASS_7.3-49
[76] tidyselect_0.2.4 highr_0.7 yaml_2.1.19
[79] manipulate_1.0.1 tools_3.5.0 RgoogleMaps_1.4.2
[82] rstudioapi_0.7 foreach_1.4.4 foreign_0.8-70
[85] gridExtra_2.3 prodlim_2018.04.18 scatterplot3d_0.3-41
[88] digest_0.6.15 lava_1.6.1 proto_1.0.0
[91] quadprog_1.5-5 fpc_2.1-11 Rcpp_0.12.17
[94] broom_0.4.4 later_0.7.3 httr_1.3.1
[97] psych_1.8.4 kernlab_0.9-26 colorspace_1.3-2
[100] rvest_0.3.2 CVST_0.2-2 splines_3.5.0
[103] RcppRoll_0.3.0 expm_0.999-2 mapproj_1.2.6
[106] flexmix_2.3-14 xtable_1.8-2 jsonlite_1.5
[109] geometry_0.3-6 timeDate_3043.102 modeltools_0.2-21
[112] ipred_0.9-6 pillar_1.2.3 htmltools_0.3.6
[115] mime_0.5 glue_1.2.0 class_7.3-14
[118] codetools_0.2-15 mvtnorm_1.0-8 curl_3.2
[121] gtools_3.8.1 zip_1.0.0 survival_2.41-3
[124] rmarkdown_1.10 munsell_0.5.0 e1071_1.6-8
[127] uroot_2.0-9 iterators_1.0.9 haven_1.1.1
[130] fracdiff_1.4-2 reshape2_1.4.3 gtable_0.2.0 </code></pre>
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