4. R and Quarto

Published

Thursday, September 19, 2024

This week …

We’ll spend most of the rest of the semester working in R and RStudio. Time to learn it!

Required Reading

  • Hadley Wickham, Garrett Grolemund, and Mine Çetinkaya-Rundel R for Data Science: Import, Tidy, Transform, Visualize, and Model Data, 2nd ed. (Sebastopol, CA: O’Reilly Media, 2023), https://r4ds.hadley.nz.

Read the text online. Complete as much of the “Whole Game” section as you can, i.e. Chapters 1-8. (They are short.) If you can, see if you can create a new R project and try redoing some of the examples and code in the Whole Game section using data of your own, or a dataset downloaded from one of the practice data sources. Don’t worry if things don’t go as expected, but do make a note of what you found difficult or confusing so we can discuss it in seminar.

Examples

This week’s examples and demos.

Assignment

This week’s assignment is essentially the reading, done as actively as you can.

Slides

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