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 8:00-9:15 in HELD 105
For more information email Dr. Blackmon.
Syllabus
R commands
| Week | Topic | Material |
|---|---|---|
| 1 | Introduction and motivation |
pptx |
| 2 | Statistical Principles |
pptx RMD file my tuesday fail |
| 3 | Principles of data visualization |
pptx basics of R Yahtzee in R |
| 4 | Intro to R |
distributions homework 1 completed basics of R cheat sheet |
| 5 | Plotting in R |
plotting examples betta fish data homework 2 completed code two categorical variables ppt two categorical variables pdf R categorical examples |
| 5.5 | Saturday Fun |
gnatocerus file offspring file |
| 6 | Simple hypothesis testing |
hypothesis testing ppt hypthesis testing pdf |
| 7 | Review and midterm |
review pdf review doc review script |
| 8 | Holiday / linear regression | |
| 9 | More linear models | |
| 10 | Mixed effects models | |
| 13 | Bayesian methods and MCMC | |
| 13 | Monte Carlo methods | |
| 14 | PCA | |
| 15 | Shiny / Holiday | |
| 16 | Review and Final |
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