Introduction to Biological Data Analysis in R

Introduction to Biological Data Analysis in R is an informal, participant-led "seminar" on basic statistics and R at the University of Connecticut. All sessions are taught by current undergraduate and graduate students in EEB and NRE. The goal of the class is to provide participants with a basic set of skills to do research and analysis in ecology, evolutionary biology, environmental science, and natural resources.

Week 1 - Introduction to R and Git

Instructor: Eliza Grames
Helpers: Liz Clifton, Becca Colby, Val Milici, Eileen Schaub

Week 2 - Data Storage

Instructor: Nick Russo

Week 3 - Functions and Common Tasks

Instructor: Genevieve Nuttall
Helper: Eliza Grames

Week 4 - Data Manipulation

Instructor: Eliza Grames

Week 5 - Matrix Algebra

Instructor: Eliza Grames

Week 6 - Probability and Random Data

Instructor: Sam Apgar

Week 7 - Experimental Design

Instructor: Val Milici

Week 8 - Plotting and Graphing

Instructor: Genevieve Nuttall

Week 9 - Linear Regression and Correlation

Instructor: Jill Pastick

Week 10 - Linear Regression and Correlation & ANOVA

Instructors: Jill Pastick, Nick Russo

Week 11 - ANOVA

Instructor: Nick Russo

Week 12 - Multivariate Linear Regression

Instructor: Becca Colby

Week 13 - Multivariate Linear Regression

Instructor: Becca Colby

Week 14 - Broad Overview of Statistical Techniques

Guest Speaker: Morgan Tingley