Day 1. Programming Fundamentals
- Wilson et al 2014 Best Practices for Scientific Computing
- Agile Manifesto
- Vincent Dresen “A successful Git branching model”
Day 2: Getting started with R
- Introduction, Data Structures, Subsetting, Functions in “Advanced R” by Wickham
- “Git and GitHub” in “R packages” by Wickham.
Day 3: Databases and Visualization
- LeBauer, David, et al. “BETYdb: a yield, trait, and ecosystem service database applied to second‐generation bioenergy feedstock production.” GCB Bioenergy (2017).
- Tidy Data
- Relational Data
- Turning tables into graphs Gelman et al 2002
- Beyond Bar and line graphs Weissgerber et al 2015
- Tufte, sparklines
Day 4: Probability and Statistics
- Leemis and McQuestion 2008 Univariate Distribution Relationships. Am. Stat.
- Summary statistics
- Statistical Modeling