STAT 412/612 Teaching Website

Synopsis

This website contains the teaching materials for STAT 412/612 Statistical Programming in R, taught during the Spring semester of 2019 at American University by David Gerard.

Administrative

• Syllabus
• Tentative Schedule

Final Project

• Description
• Progress Report

Lectures

• 01 Introduction:
  • 01 Data Science and R
  • 01 Good File Organization
  • 01 R Basics and R Markdown
  • 01 Logicals
  • 01 Data Frames
  • 01 R Basics Lab
• 02 More on Programming
  • 02 Pipes and Functions
  • 02 Pipes and Functions Lab
  • 02 R Scripts
• 03 Visualizations
  • 03 Visualization with ggplot2
  • 03 Visualization Lab
  • 03 qplot() Cheat Sheet
  • 03 Base R Graphics Cheat Sheet
  • 03 Lattice R Graphics Cheat Sheet
  • 03 RStudio’s ggplot2 Cheat Sheet
  • BBC visualizations use ggplot2: bbplot, cookbook
• 04 Manipulating Data Frames
  • 04 Manipulating Data Frames with dplyr
  • 04 dplyr Lab
• 05 Data Import and EDA
  • 05 Data Import
  • 05 Recoding Variable Values
  • 05 EDA Basics
  • 05 EDA Exercise
• Mid-semester Debugging Advice
• 06 Tidy Data
  • 06 Parsers
  • 06 tidyr
  • 06 tidyr Lab
• 07 Relational Data
  • 07 Joining
  • 07 Databases and dbplyr
  • 07 Relational Data Lab
• 08 Strings and Regular Expressions
  • 08 Strings and Regular Expressions
  • 08 Strings Lab
• 09 Factors
  • 09 Factors
  • 09 Factors Lab
  • McNamara and Horton (2017)
• 10 Dates
  • 10 Dates
  • 10 Dates Lab
• 11 Vectors and Iterators
  • 11 Vectors and Lists
  • 11 Iterators
  • 11 Vectors/Iterators Lab
• 12 Presentations
  • 12 Presentations with R Markdown (PDF)
  • 12 Presentations with R Markdown (revealjs)