The political scientist Drew Conway has come up with a useful list of his ten "must-have" R packages for social scientists. I agree with him for the most part, and his list highlights the usefulness of R (vis-a-vis Stata) for social network analysis (see statnet/igraph) and graphics (see ggplot2). In some respects, his list also underscores the fact that R is arguably more suited for sociological data analysis than Stata, given the former's unique packages not only for social network analysis but also multilevel modeling and a variety of non-parametric methods (including more recent forms of matching and classification techniques), which were especially popular in sociology before the "path analysis" revolution of the 1960s.
- R in the NYT
- Top Ten Must-Have R Packages for Social Scientists...
- Multilevel and Longitudinal Modeling in Stata
- Sociology = Hedge Fund?
- A Quantitative Tour of the Social Sciences
- Creating Summated Scales
- Simpson's Paradox Strikes Again
- The Relative Size of Things
- Multiple Imputation with Deletion
- The Paradox of Choice
- Abandoned Sociology
- LaTeX or MS Word?
- Why You Have No Friends
- The Language of Economists
- A Neat Mathematical Trick
- Do Social Networks Affect Health?
- Economists > Political Scientists > Sociologists?
- An Extraordinarily Useful Command
- December (18)