Advanced R for Econometricians

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# Advanced `R` for Econometricians

### Outline

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1. [Introduction](Introduction/Introduction.html)
2. Prerequisites
   - [Rmarkdown](Rmarkdown/rmarkdown.html) 
   - [Git and Github](Git/git_vcs.html)
3. [Data Visualisation with ggplot](ggplot2/ggplot2.html)
4. Data Wrangling and Transformation
   - [dplyr](Wrangling/Wrangling.html)
   - [Databases](databases/databases.html)
5. [Web Scraping](Webscraping/webscraping.html)
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<ol start = "6">
  <li> Advanced R Programming </li>
  <ul>
    <li> <a href="Advanced R concepts/Advanced.html">Advanced Concepts</a></li>
    <li> <a href="functional/functional.html">Functional Programming</a></li>
    <li> <a href="OOP/OOP.html">Object Oriented Programming</a></li>
  </ul>
  <li> Performance </li> 
  <ul>
    <li> <a href="measuring and profiling/MeasuringProfiling.html">Profiling and Benchmarking</a></li> 
    <li> <a href="improving performance/improving-performance.html">Improving Performance</a></li>
    <li> <a href="Rcpp/SpeedRcpp.html">Rcpp</a></li>
    <li> <a href="RcppArmadillo/RcppArmadillo.html">RcppArmadillo</a></li>
  </ul>
</ol>
]]

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### Additional Topics for self-study

<ol start = "8">
  <li> <a href = Datatable/datatable.html>data.table</a> </li>
  <li> <a href = Shiny/Shiny.html>Shiny</a> </li>
  <li> <a href = Packages/Packages.html>Writing Packages</a> </li>
</ol>
]