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 Nathaniel Pope at npope@coa.edu, Spencer Fox at spncrfx@gmail.com, or Nichole Bennett at nichole.lynn.bennett@gmail.com.

The goal of this workshop is to provide graduate students early in their studies with a broad set of practical statistical knowledge and tools for their research projects. The workshop focuses on statistical analysis in R, and we provide basic R instruction that assumes no prior familiarity with R. 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 2-3:30 pm in GDC 7.514 .

Prerequisite R knowledge assumed for statistics topics lectures:

If you're attending any of the specific statistics topic lectures, we expect that you have a good understanding of the material presented in the first few 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

Peer-led Introduction to Biological Statistics by https://wikis.utexas.edu/display/CCBB/Introduction+to+Biological+Statistics+Course is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.