STATS 506, Fall 2023
Computational Methods and Tools in Statistics

Author

Instructor: Josh Errickson, PhD

Course Material

Syllabus

Assignments

Preliminary Assignment - Git/Github
Problem Set 1 due Sep 12
Problem Set 1 Solutions
Problem Set 2 due Sep 26

Lecture Notes

01 - Introduction to R
02 - Quarto and RMarkdown
03 - Version Control and Git
04 - Vectorization and Monte Carlo
05 - Debugging Function in R
06 - Fitting Models in R
07 - Stata

Scripts from Lecture

These are the .R scripts I work on during class. I make no promises that these are complete or useful.

Aug 29
Sept 7 [1, 2]
Sept 19

Aug 31
Sept 12 [1, 2]
Sept 21 [1, 2]

Sept 5 [1, 2]
Sep 14

Case Studies

Case Study 1: Stata (9/21/23)
Files: 01-import.do, 02-merge.do, 03-variables.do, 04-bivariate.do, 05-analysis.do

Miscellanous

Developing a Consistent R Style