Get an introduction to R, the open-source system for statistical computation and graphics. With hands-on exercises, learn how to import and manage datasets, create R objects, install and load R packages, conduct basic statistical analyses, and create common graphical displays. This workshop is appropriate for those with little or no prior experience with R.
Topics for Part 2:
- Working with and inspecting Data Frames
- Filtering, Transforming, and Summarizing data using dplyr
Note that this is a continuation from last week's Intro to R, Part 1. Please sign up for both sessions.