Welcome to QAPS
The Program for Quantitative and Analytical Political Science (QAPS) was established in 2009 to support theoretical and quantitative research in political science and its dissemination. We support graduate students through QAPS fellowships, host post-doctoral research fellows, offer statistical and formal theory consulting, hold quantitative skills workshops, throw conferences, and organize the Quantitative Social Science Colloquium.
Future Events
Currently, there are no future events. Please contact us if you would like us to provide a methodology workshop that will benefit your research agenda.
News
We are happy to announce exciting updates from QAPS! We recently welcomed Tolgahan Dilgin as the QAPS Statistical Services Manager. For those who remember Will Lowe, Tolgahan will be serving in a very similar role. Stay tuned for updates on our upcoming workshops, and for information on how to utilize our consultancy services.
Previous Events
This workshop shows how to manipulate data efficiently in R using readr, dplyr, and tidyr.
PrerequisitesThe workshop will assume competence in base R.
AudienceThis workshop is for anyone interested in improving their R data wrangling skills.
If you are not a politics graduate…
Speaker
This workshop shows how to create publication quality graphics using the the 'grammar of graphics' implemented in R in the package ggplot2. We first decompose a statistical graphic into its components: mappings of variables onto visual elements and then practice using functions that build up a plot.
PrerequisitesSpeaker
This workshop continues our introduction to the R statistical language and a core of useful tools for working with data. This workshop will focus on loops, sampling and resampling, and writing your own functions.
PrerequisitesThe workshop assumes that you attended last week's R workshop.
AudienceThis workshop is for…
Speaker
This workshop provides an introduction to the R statistical language and a core of useful tools for reading in and manipulating information in the form of rectangular data matrices.
PrerequisitesThe workshop assumes no knowledge of R. However, you should install R and