Simulation studies in R (Fall, 2016 version)

James E. Pustejovsky

Author

James E. Pustejovsky

Published

September 28, 2016

In today’s Quant Methods colloquium, I gave an introduction to the logic and purposes of Monte Carlo simulation studies, with examples written in R.

Here are the slides from my presentation.
You can find the code that generates the slides here.
Here is my presentation on the same topic from a couple of years ago.
David Robinson’s blog has a much more in-depth discussion of beta-binomial regression.
The data I used is from Lahman’s baseball database.

---
title: Simulation studies in R (Fall, 2016 version)
date: '2016-09-28'
categories:
- Rstats
- simulation
- programming
code-tools: true
---

In today's Quant Methods colloquium, I gave an introduction to the logic and purposes of Monte Carlo simulation studies, with examples written in R. 

* [Here are the slides](/files/Simulations-in-R-2016.html) from my presentation. 
* You can find the code that generates the slides [here](https://gist.github.com/jepusto/bf6cdb6e393f54470ba4d016199c6eb8). 
* Here is my [presentation on the same topic](/posts/Designing-simulation-studies-using-R/) from a couple of years ago.
* [David Robinson's blog](http://varianceexplained.org/r/beta_binomial_baseball/) has a much more in-depth discussion of beta-binomial regression.
* The data I used is from [Lahman's baseball database](http://www.seanlahman.com/baseball-database.html).