STAT/MATH 289: Applied Regression Analysis

Location: JPSN G28
Time: Tuesday, Thursday 09:00-10:45
E-mail: tarnold2@richmond.edu
Office Hours: Tuesday, Thursday 10:30-12:00
Syllabus: STAT289_Syllabus.pdf
Rubric: projects 1 & 3
Rubric: project 2

CLASS NOTES

2017-08-28  Class 01: Course Introduction

2017-08-31  Class 02: Introduction to R and RStudio

2017-09-05  Class 03: Grammar of Graphics

2017-09-07  Class 04: More Layers and Interactive Graphics

2017-09-12  Class 05: Data Types and One Table Verbs

2017-09-14  Class 06: Grouped Summaries

2017-09-19  Class 07: Reading Data and Statistical Tests

2017-09-21  Class 08: Linear Regression

2017-09-26  Class 09: Extending Multivariate Models

2017-09-28  Class 10: Statistical Arguments

2017-10-03  Class 11: Chicago Crime Data

2017-10-05  Class 12: Project I Consultations

2017-10-10  Class 13: Collecting Tidy Data

2017-10-12  Class 14: Relational Data

2017-10-19  Class 15: No Class

2017-10-24  Class 16: Presentations I

2017-10-26  Class 17: Presentations II

2017-10-31  Class 18: Strings in R

2017-11-02  Class 19: Scraping Wikipedia Lists

2017-11-07  Class 20: Project II Consultations

2017-11-09  Class 21: Working with Tokens

2017-11-14  Class 22: Working with Network Data

2017-11-16  Class 23: Creating Citation Graphs

2017-11-21  Class 24: More Network Types

2017-11-28  Class 25: Project III Consultations

2017-11-30  Class 26: Project III Consultations (continued)

2017-12-05  Class 27: Presentations III

2017-12-07  Class 28: Presentations IV