Thank you for visiting my notes. I've noticed a large uptick in views lately which is terrific! However, these notes are quite old (2017) and some details may be outdated. I have a more recent class (2023) which covers much of the same information and is hopefully more up-to-date.

If you are using these notes, I'd love to hear from you and how you are using them! Please reach out to jerrick (at) umich (dot) edu.

Statistics 701: Special Topics in Applied Statistics II

Syllabus

Notes

• Consistent Code Style
• RMarkdown + Knitr
• String Manipulation
• Web Scraping
• Writing Functions in R
• SQL
• Apply Functions
• ggplot2 - Updated 4/4
• Multidimensional Scaling
• Data Cleaning
• Multiple Imputation
• Debugging R code
• Profiling
• R packages (external link - includes testthat and documentation notes
• Simulations
• Parallel Processing
• Starting with Git

Assignments

• Assignment #1
• Assignment #1 solutions
• Assignment #2
• Assignment #2 solutions
• Final Project

Misc

A running list of packages that are needed:

• rmarkdown
• knitr
• stringr
• rvest
• jsonlite
• ggplot2
• sqldf
• readxl
• stringdist
• eeptools
• profvis
• microbenchmark
• tidyr
• mice
• testthat
• devtools
• roxygen2