Resources

Homework Resources

• Submitting a Homework
• Reviewing a Homework
• Daily Writing
• R Markdown Template
• R, LaTeX, and Makefile Project Template
• R Style Guide

Similiar Courses

• Jenny Bryan, Vincenzo Coia, and Giulio Valentino Dalla Riva’s STAT 545/547
• Karl Broman’s “Tools for Reproducible Research” includes slides, notes, code, and homework assignments for a variety of topics related to computing, such as R, R Markdown, git/GitHub, and GNU Make.
• Rafael Irizzary and Heather Mattie’s “Introdcution to Data Science” in the Harvard School of Public Health.

Data Science

• The Plain Person’s Guide to Plain Text Social Science.
• Garrett Grolemund and Hadley Wickham’s R for Data Science offers an excellent description of the tidyverse.
• Jenny Bryan’s Happy Git and GitHub for the UseR describes how to use git and GitHub in combination with RStudio.
• Hadley Wickham’s Advanced R describes the fundamentals of R programming.
• Ismay and Kim’s An Introduction to Statistical and Data Sciences via R offers an excellent overview of data analysis with R.

R and RStudio

• Kasia Kulma discusses how to manage projects.

LaTeX

• I use the wikibook on LaTeX as my go-to LaTeX help guide.
• Winston Chang (@wch) made a LaTeX cheatsheet.

Git and GitHub

• I wrote a few notes on git and GitHub.
• Scott Chacon and Ben Straub’s Pro Git [web] provides a comprehensive description of git.
• The many-authored paper “Ten Simple Rules for Taking Advantage of Git and GitHub. [journal]
• RStudio’s guide to version control [web]
• How the Wiredcraft team uses GitHub.

GNU Make

• My Bare Basics Introduction to the Makefile.
• Karl Broman’s Minimal Make expands on the bare basics a bit. See especially his discussion of the automatic variable $<. Note that his Makefiles use the dated R CMD rather than the newer, preferred, Rscript command (see here).
• Thomas Leeper targets his short description of Make at researchers already familiar with R.
• Karl Broman has notes from his course on reproducible research.
• Thomas Leeper created a GitHub rep with a simple example, including a graph of the DAG.
• Keiran Healy has a chapter that focus on how to use Make.
• Mike Bostock discusses why he uses a Makefile.
• Political science’s own Zach Jones argues that researchers should use a `Makefile.
• Paul Butler argues for Make
• Rob Hyndman discusses how he uses GNU Make.
• Software Carpentry’s Automation and Make provides as much detail as you’ll ever need when using GNU Make for empirical research projects.
• My Makefiles for latent-dissent, hoc, and unnecessary.

Writing

• The CalTech Rules for Writing Papers.
• Zach Elkin’s collection of writing resources.

Talks

• Will Radcliff’s advice on talks.
• Uncle Wuffle’s advice on job talks.
• Keiran Healy’s advice about slides.

Tables

• How to improve a table [web]

Miscellaneous

• Use this tool to add points and see how the least-squares fit changes.

---

Carlisle Rainey