Summer 2022 Statistics Group
Session 1: Tuesday, May 24
Topics: Intro to R through data visualization; foundations of linear modeling and probability. Readings & resources:
- R for Data Science Welcome: 1 Introduction, Explore: 2 Introduction, Explore: 3 Data visualisation
- Gelman & Hill Chapters 1-2 (pp. 1-27)
- Additional Resources: ggplot2 Cheat Sheet, Overview of programming languages (slides), Overview of probability & uncertainty (slides)
- Dataset: Speech categorization data from an experiment of Wednesday's. Click this link to download the data file (.RDS format).
- R Lab Activity: Lab 1
Session 2: Tuesday, May 31
Topics: Fundamentals of R programming & working with datasets; 'basic' linear regression. Readings & resources:
- R for Data Science Explore: 4 Workflow: basics, Explore: 5 Data transformation, Explore: 6 Workflow: scripts
- Gelman & Hill Chapter 3 (pp. 31-52)
- Dataset: Speech categorization data from an experiment of Wednesday's. Click this link to download the data file (.RDS format).
- R Lab Activity: Lab 1 & 2
Session 3: Tuesday, June 7
Topics: Transformations, standardizations, and variable coding for linear regression. Readings & resources:
- R for Data Science Wrangle: 12 Tidy data, Wrangle: 15 Factors
- Gelman & Hill Chapter 4 (pp. 53-78)
- Dataset: Speech categorization data from an experiment of Wednesday's. Click this link to download the data file (.RDS format).
- R Lab Activity: Lab 1 & 2
Session 4: Tuesday, June 14
Same resources as Session 3Session 5: Tuesday, June 21
- R Lab Activity: Week 5 Lab (starting at Part 3)