Michael Gelman (mgelman@cmc.edu), Claremont McKenna College
Textbook: Modern Data Science with R (1st edition)
- Syllabus
- GitHub reference
- Additional free resource: R for Data Science
- Test assignment (due 09/05)
- Problem Set 1 (due 09/16)
Tuesday (intro, GitHub, test assignment)
- before class:
- Try to set up R, RStudio, Git, GitHub account (See GitHub reference)
- in class:
- day 1 slides: .Rmd .html
- test assignment
Thursday (reproducibility, R Markdown)
- before class:
- complete test assignment and push both .rmd and .md files to GitHub.
- read MDSR Chapter 1 and Appendix D
- Start looking at PS 1
- in class:
Tuesday (R objects, R functions)
- before class:
- read MDSR Appendix sections B.4, B.5 and C.2
- read Grolemund/Wickham sections 20.2 Vector Basics, 20.3 Types of Vectors (focus on logical, numeric), and 20.5 Lists
- in class:
Thursday (ggplot2 graphics)
- before class:
- read MDSR sections 3.1 and 3.2. Section 3.3 contains some
dplyrwork that I will save for discussion in chapter 4. - read Grolemund/Wickham sections 3.1 - 3.5
- Reminder: PS 1 due on Monday
- read MDSR sections 3.1 and 3.2. Section 3.3 contains some
- in class: