EEOB 8896.19: Analyzing animal social networks in R
Instructor: Gerald Carter, 2 credit hours
Meeting Time: TBD
Students will learn how to use R to create and analyze social networks from real and simulated data. We will focus on practical skills for testing hypotheses using custom permutation tests. Each student will present a presentation on an R script they wrote to answer a question using network data. Students are encouraged to work with their own data. Students will also be invited to work together as a group to test a hypothesis using high-resolution social network data (from vampire bats) with the possibility of co-authoring a peer-reviewed paper. Background knowledge of R will be useful but not required.