Schedule
Week 01: Intro
Week 02: SLR
Week 03: SLR
Week 04: ANOVA + MLR
Week 05: MLR
Week 06: Transformations + model comparison
Week 07: Model selection + diagnostics
Week 08: Logistic regression
Week 09: Logistic regression
Week 10: Logistic regression
Week 11: Multinomial logistic regression
Week 12: Log-linear models
Week 13: Missing data + presenting results
Week 14
Week 15

Week 01: Intro

Lectures ðŸ”—︎

Slides Videos Application Exercises (AE)
Monday Welcome to STA 210! Welcome to STA 210! Live lecture slides
Tour of website + Sakai Movie Revenues
Wednesday Motivating regression Motivating regression Tour of RStudio + GitHub
Meet the Toolkit Meet the Toolkit

Readings ðŸ”—︎

Elements and Principles for Characterizing Variation between Data Analyses Required
How to read an R help page Required
ROpenSci’s Reproducibility Guide Optional
1500 scientists lift the lid on reproducibility Optional

Assignments ðŸ”—︎

Submit GitHub username due Wed, Aug 19 at 11:59p
Complete Get to know you survey due Wed, Aug 19 at 11:59p
Lab 01 due Wed, Aug 26 at 11:59p
Read syllabus

Other resources ðŸ”—︎

Complete the following Duke StatSci Learning R tutorials to prepare for Thursday’s lab.

All tutorials can be found under the Getting Started tab:

  • Basics of R and RStudio
  • Basics of R and R Markdown
  • Into the Tidyverse
  • Clone repo + start new project
  • Commit + Push + Pull