Here’s your roadmap for the quarter!
- Readings are supplemental to each lecture session
- Assignments are due by 11:59 PM on the day they are due
- Class materials (slides, in-class activities, etc.) will be added on the day of class
Please note that this schedule is tentative. I want us to learn concepts, rather than have a lot of material.
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Part 1: Introduction to course/expectations, Intro to R/RStudio, Functions, Vectors, Data Types |
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Part 2: Loading Data, data.frames, and ggplot2 |
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Part 3: ggplot2, factors, boxplots, dplyr: subsetting using filter()/select() |
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Part 4. dplyr: mutate(), group_by()/summarize()/across |
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Part 5. More about manipulating factors (forcats)/doing things with multiple tables/functions() |
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Part 8. Intro to stats/formulas/broom |
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