Michael Gelman ([email protected]), Claremont McKenna College

Zoom link for remote viewing: https://cmc-its.zoom.us/j/3494522481

Office hours:

• In person: Mo/We 12:25 PM outside RN12 (or come inside and let me know you want to meet)
• Virtual: Sign up here and use this zoom link

Tutor sessions (BC 22):

• Mo 06:00-08:00 PM - Matthew San Luis
• We 08:00-10:00 PM - Vasu Rai

Textbook 1: Modern Data Science with R (1st edition)
Textbook 2: An Introduction to Statistical Learning

• Syllabus
• GitHub reference quick guide
• GitHub reference full guide
• Additional free resource: R for Data Science

• Test assignment (due 09/03)
  • Solutions .Rmd .md
• Problem Set 1 (due 09/13)
  • Solutions .Rmd .md
• Problem Set 2 (due 09/22)
  • Solutions .Rmd .md
• Team Project 1 (due 09/27)
• Problem Set 3 (due 10/04)
  • Solutions .Rmd .md
• Problem Set 4 (due 10/11)
  • Solutions .Rmd .md

Monday (intro, GitHub, test assignment)

• before class:
  • Try to set up R, RStudio, Git, GitHub account (See GitHub reference quick guide and See GitHub reference full guide)
• in class:
  • day 1 slides: .Rmd .html
  • test assignment

Wednesday (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:
  • day 2 slides: .Rmd .html
  • day 2 activity: .Rmd .md

Monday

• Labor day!!

Wednesday (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
  • Reminder: PS 1 due on Monday
• in class:
  • day 3 slides .Rmd .html
  • day 3 activity: .Rmd .md
    • solutions: .Rmd .md

Monday (ggplot2 graphics)

• before class:
  • read MDSR sections 3.1 and 3.2. Section 3.3 contains some dplyr work that I will save for discussion in chapter 4.
  • read Grolemund/Wickham sections 3.1 - 3.5
• in class:
  • day 4 slides: .Rmd .html
  • day 4 activity: .Rmd .md
    • solutions: .Rmd .md

Wednesday (more ggplot2 and interactive graphics)

• before class:
  • little more ggplot: read Grolemund/Wickham sections 3.6 - 3.10
  • just read pages 324-325 in MDSR to get a feel for map projections. For now we will just be working with simple maps that only need lat/long and build-in map boundaries.
  • quick read MDSR sections 11.1-11.3 in chapter 11 to get a "big picture" idea of some of the interactive graphing options in R.
  • Start on PS 2
• in class:
  • discuss group projects
  • day 5 slides: .Rmd .html
  • day 5 interactive graphics slides: .Rmd
  • day 5 activity: .Rmd .md
    • solutions: .Rmd .md

Monday (Introduction to dplyr)

• before class:
  • read MDSR sections 4.1 and 4.2
• in class: basic data wrangling with dplyr
  • day 6 slides: .Rmd .html
  • day 6 activity: .Rmd .md
    • solutions: .Rmd .md

Wednesday (Work on Team Project 1)

• before class:
  • Make sure you have your Team Project 1 partners
• in class:
  • Work with partners on Team Project 1
  • Ask any questions related to material up to this point

Monday (Joins in dplyr)

• before class:
  • read MDSR section 4.3 and 4.4
  • get started with PS 3
• in class:
  • day 7 slides: .Rmd .html
  • day 7 activity: .Rmd .md
    • solutions: .Rmd .md

Wednesday (Data intake)

• before class
  • read MDSR sections 5.5.3 and 5.5.4 (we'll come back to the other sections after the exam)
  • read Grolemund/Wickham chapter 16 - focus on sections 16.2 and 16.3.
• in class
  • day 8 slides: .Rmd .html
  • day 8/9 activity: .Rmd .md
    • solutions: .Rmd .md