Linear models in Agriculture and Natural Resources
2024-01-03
1 Preface
This is a book written in Markdown for ALS6502C at the University of Florida, instructed by Dr. Phil Hahn (hahnp@ufl.edu). Currently, this is a draft version and is still a work in progress.
This book is meant to be used in conjunction with the class lectures and is not meant to replace lectures. With that being said, this book is written to be semi-standalone and to provide students to review the material. Please visit to course canvas page for syllabus and additional materials.
1.1 Learning outcomes:
By the end of the course, students will be able to:
Propose biological questions and formulate hypotheses to test them.
Construct statistical models that are commonly used in agricultural and natural resource studies, including linear models, generalized linear models, linear mixed models, and generalized linear mixed effects models, using freely available packages in R.
Analyze, visualize, interpret, and report the results of statistical models using formats acceptable for publication.
Critique results of analyses reported by peers and in the literature.
Select R documentation and use new R packages and functions.
Linear Models in Agriculture and Natural Resources © 2023 by Phil Hahn & Leo Ohyama is licensed under CC BY-NC-SA 4.0