You are here: Home / Resources / Teaching Materials / Module M.6 Generalized linear models / Description
Resource Image

Module M.6 Generalized linear models

Author(s): Alexis A Diaz1, Raisa Hernández-Pacheco1, Alexandra L Bland1, Alexandra G Rosati2

1. California State University, Long Beach 2. University of Michigan

339 total view(s), 126 download(s)

0 comment(s) (Post a comment)

Download

Adapt 0
Summary:
Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis using authentic data of Cayo Santiago rhesus macaques.…

more

Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis using authentic data of Cayo Santiago rhesus macaques. Module M.6 introduces generalized linear modeling in R.

Licensed under Creative Commons CC0 1.0 Universal

Version 1.0 - published on 16 Jun 2023 doi:10.25334/4H33-ZY15 - cite this

Keywords

  1. R programming language
  2. primates
  3. population ecology

Alignments

  1. Resource Type
  2. Audience Level
  3. Activity Length
  4. Software Used
  5. Open Science and Education Practices Ontology
Contents:
view all files

Description

In Module M.6, we introduce basic functions in R to fit generalized linear models to authentic data from Cayo Santiago rhesus macaques. Module M.6 is part of the 8-module series Introduction to Primate Data Exploration and Linear Modeling with R.

Notes

The creation of this module was funded by the National Science Foundation DBI BRC-BIO award 2217812. Cayo Santiago is supported by the Office of Research Infrastructure Programs (ORIP) of the National Institutes of Health, grant 2 P40 OD012217, and the University of Puerto Rico (UPR), Medical Sciences Campus. Additional support was provided by the National Science Foundation Graduate Research Fellowship Program to Alexis A. Diaz, award 2141410. We acknowledge the use of BioRender.com to create Fig 1.

Cite this work

Researchers should cite this work as follows:

Close

Home

Search