Readings

Week 1

Tools for Analysis

• Required Reading
  • R4DS: Chapter 1 - Introduction, Section 1.4 - 1.6
  • R4DS: Chapter 6 - Workflow Scripts, Section 6.1 - 6.2
  • R4DS: Chapter 19 - Functions, Section 19.1 - 19.3, 19.5.1 - 19.5.2
  • Using RStudio Cloud
• Additional Resources
  • RStudio Cheat Sheet

Literate Programming

• Required Reading
  • R4DS: Chapter 27, Section 27.1 - 27.4: R Markdown Fundamentals
• Optional Reading
  • R4DS: Chapter 27, Section 27.6 - 27.7: R Markdown YAML
  • knitr: Chunk options
• Additional Resources
  • LaTeX symbol guide
  • R Markdown Cheat Sheet
  • R Markdown Reference Guide
  • RStudio Cheat Sheet

Week 2

Git and GitHub

• Video
  • Cloning a Repository from GitHub into RStudio Cloud
• Optional Reading
  • Troubleshooting GitHub’s ‘This is not the webpage you are looking for.’
  • See Alice Bartlett’s phenomenal git for Humans explanation.
• Additional Resources for learning about command line git (not emphasized)
  • Reading Atlassian’s Workflow Tutorial
  • Practicing Command Line git via Codecademy

Navigating Data

• Required Reading
  • R4DS: Chapter 20 Vectors, Sections 20.1 - 20.3

Week 3

Importing Data

• Required Reading
  • R4DS: Chapter 11 Data Import, Section 11.1, 11.2, and 11.5

Transforming Data

• Required Reading
  • R4DS: Chapter 19 - Functions, Sections 19.2 and 19.3
  • R4DS: Chapter 20 Vectors, Section 20.4
  • ADVR: Chapter 4 - Subsetting, Section 5.2.1
• Optional Reading
  • RI: Circle 3 - Failing to Vectorize

Week 4

Comparisons

• Required Reading
  • Slides

Derived Variables

• Required Reading
  • ADVR: Chapter 5 - Control Flow, Section 5.2
  • R4DS: Chapter 19 - Functions, Section 19.4

Week 5

Data Oddities

• Required Reading
  • ADV-R: Chapter 4 - Vectors, Section 4.5 - 4.6
  • R4DS: Chapter 12 - Tidy Data, Section 12.5
  • ADV-R: Chapter 4 - Vectors, Section 4.7
  • RI: Circle 8 - Believing it does as intended:
    • Sections 8.1.4, 8.1.5
    • Section 8.1.12
    • Section 8.2.11
    • Section 8.2.14 - 8.2.16
• Optional Reading
  • R4DS: Chapter 7 - Exploratory Data Analysis, Section 7.4

Loop the Loops

• Required Reading
  • R4DS: Chapter 21 - Iteration, Section 21.1 - 21.4
  • ADVR: Chapter 5 - Control Flow, Section 5.3
  • RI: Circle 3 - Failing to Vectorize
  • RI: Circle 8 - Believing it does as intended, Section 8.1.56 - 8.1.64

Week 6

Randomness

• Optional Reading
  • Random Number Generation by Pierre L’Ecuyer.
    

Linear Regression

• Required Reading
  • ADVR: Chapter 3 - Vectors, Section 3.4.1
• Optional Reading
  • Statistical Modeling: The Two Cultures by Leo Breiman.
  • Multiple Linear Regression Proofs

Week 7

Bootstrap

• Optional Reading
  • Bootstrap Methods: Another Look at the Jackknife by Bradley Efron.
    

Week 8

Exploratory Data Analysis

• Required Reading
  • R4DS: Chapter 7 - Exploratory Data Analysis
• Optional Reading
  • R4DS: Chapter 3 - Data Visualisation
  • Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing by Justin Matejka, George Fitzmaurice
• Additional Resources
  • Data Visualization cheatsheet
  • The R Graph Gallery
  • Data Visualisation Catalogue
  • ggplot2 extension gallery
  • Financial Times - Visual Vocabulary
  • ggplot2 documentation

Tidy Data

• Required Reading
  • R4DS: Chapter 12 - Tidy Data
  • R4DS: Chapter 18 - Pipes
• Optional Reading
  • Tidy Data JSS Paper by Hadley Wickham
• Additional Resources
  • Data Import Cheatsheet (Page 2)

Week 9

Shiny

• Required Reading
  • R4DS: Chapter 29 - R Markdown Formats, 29.6: Dashboards
  • R4DS: Chapter 29 - R Markdown Formats, 29.7: Interactivity
• Suggested Reading
  • Lesson 1: Welcome to Shiny
  • Lesson 2: Build a user interface
  • Lesson 3: Add control widgets
  • Lesson 4: Display reactive output
  • Lesson 5: Use RScripts and Data
  • Lesson 6: Use Reactive Expressions
  • Lesson 7: Share your apps
• Additional Resources
  • Garrett Grolemund’s Shiny Tutorial Video (~ 2 hours)
  • Shiny Cheatsheet
  • Base R Cheatsheet

Week 10

Spring break!

Week 11

Grammar of Data

• Required Reading
  • R4DS: Chapter 5 - Data Transformation

Relational Data and Joins

• Required Reading
  • R4DS: Chapter 13 - Relational Data

SQL

• Suggested Reading
  • dbplyr: Introduction vignette
  • RSQLite: Introduction Vignette
• Additional Resources
  • dbplyr SQL translation vignette
  • DBI: A Common Database Interface (DBI)
    

Week 12

Unstructured Data

• Required Reading
  • R4DS: Chapter 14 - Strings, Section 14.2

Week 13

Web APIs

• Suggested Reading
  • httr: Introduction Vignette
  • jsonlite: Introduction Vignette

Regular Expressions

• Required Reading
  • R4DS: Chapter 14 - Strings, Section 14.3 - 14.7

Week 14

Web Scraping

• Required Reading
  • rvest’s SelectorGadget Vignette
• Suggested Reading
  • RSelenium’s Basics vignette

Breaking Functions

• Required Reading
  • ADV-R: Chapter 22 - Debugging

Functionals

• Required Reading
  • ADV-R: Chapter 10 - Functionals
  • R4DS: Chapter 21 - Iteration, Section 21.4 For Loops vs Functionals
• Optional Reading
  • RI: Circle 4 - Over-vectorizing

Week 15

S3 Object Programming

• Required Reading
  • ADV-R: Chapter 12 - S3
• Suggested Reading
  • ADV-R: Chapter 15 - Trade-offs

R Packages

• Suggested Reading
  • R-PKGS: Chapter 3 - Package Structure
  • R-PKGS: Chapter 4 - R Code
  • R-PKGS: Chapter 6 - Object Documentation
  • R-PKGS: Chapter 8 - Testing

Rcpp

• Required Reading
  • Extending R with C++: A Brief Introduction to Rcpp by Dirk Eddelbuettel and James Joseph Balamuta
• Suggested Reading
  • ADV-R: Chapter 23 - Rewriting R code in C++

Week 16

Dates and Times

• Required Reading
  • R4DS: Chapter 16 - Dates and Times
  • ADVR: Chapter 3 - Vectors, Section 3.4.2 - 3.4.3

Spatial Data

• Suggested Reading
  • sf: Simple Features for R
• Additional Resources
  • Geocomputation with R by Robin Lovelace, Jakub Nowosad, Jannes Muenchow