# STATS 506, Fall 2023

Computational Methods and Tools in Statistics

## 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.

### 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