Introduction to R: Data Importation and Manipulation
Jason Rydberg, Assistant Professor
School of Criminology & Justice Studies
R is currently one of the fastest growing statistical software platforms for use by scientists, researchers, and statisticians. It provides a powerful, open source (i.e., free) environment for a wide array of tasks, including data manipulation, statistical modeling, and statistical graphics. One of the most commonly cited drawbacks in for those beginning to use R is its relatively steep learning curve. In this workshop we will provide an easy introduction to using R for some common research purposes, particularly reading/importing data and data manipulation, cleaning, and variable recoding. We will also take time for Q & A, helping to translate the use of other platforms (i.e., SPSS or Stata) into R.