## 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