The explosion in the availability of text has opened new opportunities to exploit text as data for research. As Justin Grimmer and Brandon Stewart discuss in the above paper, there are a number of approaches to reducing human text to … Continue reading →
This is something I put together a long time ago and recently updated for use with larger data sets. Preliminaries Much of the material here is covered in the more comprehensive “Social Network Analysis Labs in R and SoNIA,” on which I … Continue reading →
After my post on making dotplots with concise code using plyr and ggplot, I got an email from my dad who practices immigration law and runs a website with a variety of immigration resources and tools. He pointed out that the … Continue reading →
I analyze a lot of experiments and there are many times when I want to quickly look at means and standard errors for each cell (experimental condition), or the same for each cell and individual-level attribute level (e.g., Democrat, Independent, … Continue reading →
Yesterday I wanted to create a map of participants from a study on social media and partisan selective exposure that Sean Westwood and I ran recently, with participants from Amazon’s Mechanical Turk. We recorded ip addresses for each Turker participant, so … Continue reading →
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
