Name: Tom Hanna
Type: User
Company: University of Houston
Bio: I am a Ph.D. Candidate International Relations and Comparative Politics. My interests include advanced stats, game theory, machine learning.
Twitter: realnews
Location: Houston, TX
Blog: https://tomhanna.me
Tom Hanna's Projects
Teaching materials for class POLS3311: Introduction to Comparative Politics, Spring 2024, University of Houston.
Teaching materials for class POLS3312: Argument, Data, and Politics, Spring 2024.
working through the book The Art of R Programming by Norman Matloff
Basic data cleaning and preliminary exploration of the Autocracies of the World Dataset from Stanford Center on Democracy, Development, and Rule of Law https://cddrl.fsi.stanford.edu/research/autocracies_of_the_world_dataset
Working with replication data from Bueno de Mesquita and Smith 2022
Working with the data from the Bank for International Settlements Locational Banking Statistics. I will not include the main data. It is available at: https://www.bis.org/statistics/bankstats.htm
Simply playing around with some causal inference tools in R
This is the repository for the peer graded assignment for the Data Scientist's Toolkit Coursera MOOC.
The Leek group guide to data sharing
Looking at factors involved in democratic backsliding
This is a demonstration of the project requirements for POLS 3316, Statistics for Political Scientists.
Foreign Aid Explorer data from US Agency for International Development
RMarkdown/Quarto documents for lectures for Fall 2022 Introduction to Comparative Politics.
Machine Learning for Political Science course from Fall 2020 at University of Houston.
Code for the labs and additional items of interest for the lab section of this course that I'm teaching this fall.
This is a repository for lab and homework information for the lab for the Graduate Course in Statistical Methods in the Political Science Department at University of Houston that I am teaching in Spring of 2021. The course title and description are: Research Design and Quantitative Methods II (Methods core) - Second course in required methods sequence. Focus on the general linear model. Topics include multivariate regression, violations of model assumptions, alternative estimators, computer applications.
Repository for assignments and work for the Programming with R course in Coursera.
Just messing with the PDFs from the government land sales project to see if R can organize the data
Just going through some basic python coding lessons
Working with regime data in R primarily for the purpose of developing explanatory variables for use in other projects. Polity V, VDem, COW Trade data, etc.
A sample using the built in R dataset with Motor Trends car data
Mostly for Quarto presentations for an US and Texas Constitution and Politics course. No stats, unless I happen to use R to produce a graphic of some sort.
Course, lecture and lab material for POLS 3316, Statistics for Political Scientists, Class number 14039, Fall 2023 at University of Houston.