Lecture: LearnRDataStructures2014
Lab: R Data Structures
This week’s lecture is about data structures – R’s system for handling data. The system is more flexible than those found in other languages (including the ability to define your own structures).
Most analyses involve three main structures – atoms, vectors, and data frames. We will cover these in the lecture and lab.
Example code from last year (roughly in order of complexity):
Atoms, the basic data unit.
Vectors, ordered lists of values.
Data Frames, basically data sets.
Check out the fall 2014 topics and schedule here
Lecture notes: LearnR-Lecture1-Fall2014
Lab Handout: Lab1
The first session for fall 2014 will be held at 10:30-11:30 on September 5th in McGavran-Greenberg 1305.
To prepare:
1. If possible, try installing R and Rstudio on your own before class (it’s easy). We will help resolve any installation issues during the lab.
2. RStudio is a good add-on interface for new users (particularly SAS users). The free version has everything you’ll need. Make sure to install R first.
3. Print out page 1 of this helpful cheat sheet to bring to class:
University Operator: (919) 962-2211 | © 2026 The University of North Carolina at Chapel Hill |