Lab Scripts

This page contains link to lab scripts throughout the semester. Clicking the title of the lab script will go directly to the “spun” HTML document from the underlying R code. The bottom right icons link to the underlying R script () and the HTML document ().

• An Intro to R, Rstudio, and {tidyverse}
  tl;dr: A tidyverse-oriented lab for introducing students to R and Rstudio.   
• Some Basics of Descriptive Inference
  tl;dr: A lab session on things like modes, medians, means, and variable types.   
• Associational and Inferential Techniques
  tl;dr: A lab session on associational techniques/limitations and a basic discussion of inference.   
• Random Assignment and Experiments
  tl;dr: A lab session on random assignment with a partial replication of some of Chapter 1 of Mastering 'Metrics.   
• Measurement Error
  tl;dr: A lab session on what weird things measurement error can do to our inferences.   
• OLS Regression
  tl;dr: A lab session on basic OLS and how to unpack it.   
• OLS Regression Diagnostics
  tl;dr: A lab session on diagnostic checks for OLS and what to do if you flunk one.   
• Instrumental Variables
  tl;dr: A lab session on instrumental variable analysis.   
• Logistic Regression
  tl;dr: A lab session on logistic regression: unpacking it and assessing it.   
• Ordinal Logistic Regression
  tl;dr: A lab session on ordinal logistic regression: unpacking it, assessing it, and when you should use it.   
• Making the Most of Regression
  tl;dr: Regression is story-telling and here's how to tell your story well.   
• The Basics of Bayesian Inference
  tl;dr: A way too brief introduction to the world of Bayes.