Lectures
This page contains link to the lectures I give throughout the semester. Clicking the title of the week’s lecture will go to an html file, embedded in the user’s browser, by default. The bottom right icons link to the Github directory for the lecture () and the R Markdown document for the lecture ().
- 08/19/2020 Lecture - intro
- 08/19/2020 Lecture - R
- 08/21/2020 Lab 1
- 08/24/2020 Lecture - R cont.
- 08/26/2020 Lecture - R basics
- 08/28/2020 Lab 2
- 08/31/2020 Lecture - Data structures
- 09/02/2020 Lecture - Functions
- 09/04/2020 Lab 3
- 09/09/2020 Lecture - Git
- 09/14/2020 Lecture - Reproducible Research
- 09/14/2020 Lecture - Tibbles
- 09/14/2020 Lecture - Import data
- 09/16/2020 Lecture - Tidy data
- 09/16/2020 Lecture - ggplot2
- 09/18/2020 Lab 5 - Git merge conflict
- 09/18/2020 Lab 5 - ggplot2
- 09/21/2020 Lecture - ggplot2 (cont)
- 09/23/2020 Lecture - Visualizing Longitudinal Data Using brolgar
- 09/23/2020 Lecture - Data transformation
- 09/25/2020 Lab 6 - ggplot2
- 09/28/2020 Lecture - Data transformation cont.
- 09/30/2020 Lecture - Strings
- 10/02/2020 Lab 7 - string
- 10/05/2020 Lecture - Web Scraping
- 10/07/2020 Lecture - Linear Models
- 10/09/2020 Lab 8 - scraping
- 10/14/2020 Lecture - Logistic Regression
- 10/16/2020 Lab 9 - linear models
- 10/21/2020 Lecture - Binomial Regression
- 10/23/2020 Lab 10 - binomial regression
- 10/26/2020 Lecture - Count Regression
- 10/28/2020 Lecture - GLM
- 10/30/2020 Lab 11 - GLM
- 11/02/2020 Lecture - Neural Network
- 11/04/2020 Lecture - Neural Network cont.
- 11/06/2020 Lab 12 - Neural Network
- 11/09/2020 Lecture - Trees
- 11/11/2020 Lecture - Support Vector Machine
- 11/11/2020 Lecture - R programming