README.md

List of Teaching Resources for R

Provides a list of resources for teaching different ideas in R.

Modeling

• CRAN Task Views for finding packages related to a certain topic

Communication

Concept Visualization

• Statistics/#rstats illustrations by Allison Horst (twitter: @allison_horst).
• Visualize dplyr commands
  • tidyexplain by Garrick / Hand crafted visualizations by Andrew Wheiss
  • unravel package for stepping through a data pipeline by Nischal Shrestha
  • Tidy Data Tutor by Sean Kross and Philip Guo

Literate Programming

• Video: a reproducible workflow, horror movie-themed trailer on non-reproducible workflows.

Quarto

• Quarto Overview
• Quarto Cheatsheet
• Quarto Reference Guide

R Markdown

• R Markdown Overview by Garrett Grolemund of RStudio.
• R Markdown Cheat Sheet
• R Markdown Reference Guide

LaTeX

• LaTeX Mathematical Symbol Guide
• LaTeX Symbol Lookup
• Supported LaTeX Symbols in MathJax (v3)

Data Repositories

Useful sources when students say they can't find a data set anywhere...

• Google's Data Search
  • Technical Information about How Data Search Works
• US Federal Government Data Search Portal
• US City Open Data Census
• 360Giving
• Web APIs for Data

Warning: Data sources listed next have been analyzed frequently and the likelihood that a student will provide a novel analysis is significantly lower.

• UC Irvine's Machine Learning Repository
• Kaggle's Datasets
• Stanford Large Network Dataset Collection (SNAP)
• FiveThirtyEight Raw Data and fivethirtyeight R package

Data Transformations

• Animations for Merge and Tidying

Data Visualization

Theory

• Data Viz Project
• Data Visualisation Catalogue
• From Data to Viz
  • Decision tree graph selection
• Financial Times - Visual Vocabulary
• Exploring Histograms, an essay on histogram features

Implementation

• The R Graph Gallery
• Data Visualization via ggplot2 Cheatsheet
• ggplot2 extension gallery
• ggplot2 documentation

EDA

• To See a World in Grains of Sand by Yihui Xie
• Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing by Justin Matejka, George Fitzmaurice

Fundamentals of Computing

• What every computer scientist should know about floating-point arithmetic by Goldberg (1991)

Textbooks, Manuals, and Tutorials

Base R

• List of Freely Accessible R Documentation
• List of Purchasable R Textbooks
• The Art of R Programming by Norman Matloff
• Hands-on Programming with R by Garrett Grolemund
• R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics by Paul Teetor
• The R Graphics Cookbook by Winston Chang
• Data Manipulation with R by Phil Spector
• R Packages by Hadley Wickham
• Practical Data Science with R, Second Edition by Nina Zumel and John Mount (Pay)

Advanced

• Software for Data Analysis: Programming with R by John Chambers
• The R Inferno by Patrick Burns

Tidyverse or Tidymodels Specific

• R for Data Science by Garrett Grolemund and Hadley Wickham
• Advanced R (starting in the second edition) by Hadley Wickham
• Grammar of Graphics, Book Source by Hadley Wickham
• Data Visualization: A practical introduction by Kieran Healy
• Feature Engineering and Selection: A Practical Approach for Predictive Models by Max Kuhn and Kjell Johnson

Domain Specific

• Geocomputation with R by Robin Lovelace, Jakub Nowosad, and Jannes Muenchow
• Forecasting: Principles and Practice by Rob J Hyndman and George Athanasopoulos
• Mastering Apache Spark with R by Javier Luraschi, Kevin Kuo, and Edgar Ruiz
• Hands-On Machine Learning with R by Bradley Boehmke and Brandon Greenwell
• Introduction to Econometrics with R by Christoph Hanck, Martin Arnold, Alexander Gerber and Martin Schmelzer
• Fundamentals of Data Visualization by Claus O. Wilke

Version Control

git

• git for Humans by Alice Bartlett
• Atlassian’s Workflow Tutorial
• Command Line git via Codecademy