“Data Wrangling” is the process of preparing data for analysis, which includes importing, cleaning, recoding, restructuring, combining, and anything else that needs to be done before it can be analyzed. Data wrangling is a critical skill for quantitative research.
- Regression Diagnostics
- Generalized Linear Models in R
- Mixed Models
- R Loops and Writing Functions