Applied Sampling for Wildlife/Fish Studies (FW552)
Week 3 (Sep 8, 9)
Week 4 (Sep 15, 17)
Week 5 (Sep 22, 24)
Week 6 (Sep 29, Oct 1)
Week 7 (Oct 6, 8)
Week 8 (Oct 13, 15)
Week 9 (Oct 20, 22)
Week 10 (Oct 22, 25)
Week 11 (Oct 27, OCt 29)
Week 12 (Nov 3, 5)
Week 13 (Nov 10, 12)
Week 14 (Nov 17, 19)
Week 15 (Nov 24, 26): No Classes
Week 16 (Dec 1, 3)
Week 17 (Dec 8, 10)
Install the most recent versions of R and RStudio Desktop.
Notes
- To download lectures: Go to lecture html. Click ‘e’. This should connect all slides into one page. Right Click Mouse on page. Click ’Print”. Choose printer “Adobe PDF”; might need Adobe Acrobat installed.
Extras
Labs
Articles
Learning R
- Language of R
- Prelude In R
- Data Carpentry
- Intro to R
- Many Resources
- Our Coding Club
- SW Carpentry
- Doser et al. Book
- Intro to R for Biologists
- Introduction to R - tidyverse
- R for Data Science (2e)
- Advanced R
- Introduction to the R Language
- Introduction to R
- An Introduction to R for Research
- Introduction to Data Exploration ana Analysis with R
- Working with Data in R
Learning Stats/Modeling
- Probability Playground: Interactive Probability Distributions
- An Introduction to Statistical Learning
- The Elements of Statistical Learning. Download.
- Bayesian Data Analysis. Download.
- Bayesian Models: A Statistical Primer for Ecologists.
- Data Analysis Using Regression and Multilevel/Hierarchical
- Statistics for Spatio-Temporal Data. Download
- Spatio-Temporal Statistics with R. Download
- A First Course in Bayesian Statistical Methods
- Bayesian Statistical Methods