Experimental Design
Learning Objective
This course is intended to provide a foundation in the proper design of scientific research projects in the field of biology.By the end of the course, successful students will be able to:
- Design studies that are statically tractable
- Graphically explore data in R
- Perform standard statistical analyses in the R environment
Class meets TR 11:10-12:25 in Butler 309
For more information email Dr. Blackmon.
Syllabus
| Week | Topic | Material |
|---|---|---|
| 1 | Introduction and motivation | Class Survey PPT Slides PDF Slides R script 1 |
| 2 | Visualizing data |
PPT Slides PDF Slides WS Chapter 2 plotting script Data file for homework 2 |
| 3 | Summaries and uncertainty |
PPT Slides PDF Slides WS Chapter 1 and 3-4 |
| 4 | Probability and Discrete variables |
PPT Slides PDF Slides WS Chapters 5-7 Homework |
| 5 | 2 Continuous variables |
PPT Slides PDF Slides script from lecture |
| 6 | 1 Continuous and 1 Discrete variable |
PPT Slides PDF Slides orthoptera.csv |
| 7 | Plotting / review / midterm |
midterm reveiw Files for midterm: vac.rates.csv mite.count.csv chicks.csv |
| 8 | ggplot2 / GLM-1 |
review midterm fundamentals of linear models PPT Slides PDF Slides gnatocerus.csv betta_splendens.csv google folder |
Exam files
Extra Resources
R markdownR style guide
basics of R cheat sheet
base R plotting cheat sheet
ggplot2 cheat sheet
color brewer
Useful R packages
swirlggplot2
coda