Introduction to Biological Statistics Course

This space will be used to communicate with students in the Introduction to Biological Statistics Course. Here, you will find copies of lecture materials, exercises and other relevant resources. For more information, contact us Nichole Bennett at nichole.lynn.bennett (at) gmail.com or Nathaniel Pope at npope (at) coa.edu. 

The goal of this workshop is to provide graduate students early in their studies with a broad set of statistical tools which can be applied to future research problems. The workshop focuses on statistical analysis in R, and we provide basic R instruction for beginners. Past workshops have included broad overviews and workable examples of the following types of analysis: linear models and model fitting, time series analysis, spatial statistics, phylogenetics, population genetics, population dynamics and principal components analysis. This workshop is not meant replace formal course work in statistics. Instead, it provides participants with a foundation of knowledge that can be built upon by future study.

An annotated list of Statistics Resources is available on Google Drive.

This course meets Fridays 1-2:30 pm in GDC 7.514.

Prerequisite R knowledge assumed for statistics topics lectures:

If you're attending any of the specific statistics topics lectures, we expect that you have a good understanding of the material presented in the first three weeks of class. We also expect that you can do the following in R: access help files for functions, load data, and install R packages. If you need extra practice/instruction in loading data or installing packages, we have the following cheat sheets for you. 

Install and Load R Packages

Load Data