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:
  1. Design studies that are statically tractable
  2. Graphically explore data in R
  3. 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 markdown
R style guide
basics of R cheat sheet
base R plotting cheat sheet
ggplot2 cheat sheet
color brewer


Useful R packages

swirl
ggplot2
coda