This repository contains materials for an Introduction to R class. The materials were originally delivered as a one day workshop but are being amended to a one hour class format. Content and schedule listed below should be considered a work in progress and thus is likely to change.
The materials will cover:
- Working with RStudio
- R Syntax
- Packages
- Data Types and Data Structures
- Reading in external data
- Basic Data Manipulation
- Basic Data Visualization.
We will meet every Monday from 11am to 12pm via Teams
NOTE TO JEFF: START THE RECORDING!
| Class | Topic | Video |
|---|---|---|
| Class 1 (2022-11-28): | Course Details, introductions, and Rstudio | Video |
| Class 2 (2022-12-05): | RStudio and The Punchline | Video |
| Class 3 (2022-12-012): | R Basics: Functions, Syntax, and Packages | Video |
| Class 4 (2022-12-19): | Tidy Data: Part 1 | Video |
| Class 5 (2022-01-09): | Review of Data Frames and Reading Data | Video |
| Class 6 (2023-01-23): | Tidy Data: Part 2 | Video |
| Class 7 (2023-01-30): | Tidy Data: Part 2 (cont) | Video |
| Class 8 (2023-02-06): | In Class Exercise | |
| Data Viz: Part 1 | Video | |
| Class 9 (2023-02-13): | Data Viz: Part 2 | Video |
| Class 10 (2023-02-27): | Basic Stats | Video |
| Class 11 (2023-03-06): | Random Forest, Logistic Regression, and broom | Video |
| Class 12 (2023-03-13): | Geospatial in R | Video |
| Class 13 (2023-03-20): | Reproducible Research: Closing the loop with QA and Products! | Video |
| Class 14 (2023-03-27): | Data Science Tools at USEPA | Video |
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