R Tutorials
Photo credit: The Allium
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R is a powerful statistical programming language (yay!) with a steep learning curve (boo!).
I've developed teaching tutorials for learning R, based on materials adapted from my colleague Dan Kramer at Michigan State University. You can access them from the submenus above. Enjoy! |
Download datasets and resources for working with these tutorials:
1. Instructions for installing R, specific to Lund University and Swedish keyboards!
2. The dataset "hpi.csv" used in the tutorials. Be sure to check out the meta-data in Tutorials 1 and 2. (Note this is named hpi2.csv, change accordingly)
3. The datasets "energydata.csv" and "impact.csv" starting with Tutorial 2.
4. Starter scripts to work with the tutorials: ScriptDay1.R, ScriptDay2.R, and ScriptDay4.
2. The dataset "hpi.csv" used in the tutorials. Be sure to check out the meta-data in Tutorials 1 and 2. (Note this is named hpi2.csv, change accordingly)
3. The datasets "energydata.csv" and "impact.csv" starting with Tutorial 2.
4. Starter scripts to work with the tutorials: ScriptDay1.R, ScriptDay2.R, and ScriptDay4.
More recommended R resources:
My favorite site for all questions R is Quick-R by Robert Kabacoff. It has very good visual examples and code snippets you can work with directly.
Download this R refcard by Tom Short, print it out, and keep it handy. You'll thank me later.
Download this R refcard by Tom Short, print it out, and keep it handy. You'll thank me later.
R Tutorials by Kimberly A. Nicholas is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
