## 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