In this assignment, I used text mining and sentiment analysis to understand tweets with the hashtag: #MTA

In this assignment, I analyzed if the effect of gender on the number of victims of campus crime that a person knows. I also brought in a multi-level analysis, by analyzing the percentage of drug and alcohol related crimes on a campus and the subsequent effect on number of victims known to campus crime.

In this assignment, I used zelig to run an ordered logit model and a subsequent simulation on the effect of political party on one's endorsement of global warming.

In this assignment we used zelig5 to estimate the chance of survival on the titanic by age, fare, sex, and class.

In this homework I analyzed the effect of gender, parental education, and age on student's willingness to pursue higher education.

In this assignment we had to write our own maximum likelihood function.