In spring 2018, I taught the first iteration of Advanced Statistical Methods in Ecology, a course designed to introduce upper level undergraduates and graduate students to the analytical methods that are often required for ecological and entomological data sets.
In short, the goals of the course were to help students develop the confidence to conduct an interpret analyses on datasets that require more than anova or linear regression.
Learning Outcomes | After completing this course students will be able to:
1| flexibly manipulate and summarize datasets
2| create publication ready graphics
3| choose statistical methods appropriate to their dataset and question
4| evaluate the application of common statistical tests when reading and reviewing the literature
Functions and Loops
R Markdown and ggplot2
Generalized Linear Models
Polynomials and Non Linear Models
Structural Equation Models
Machine Learning Techniques
Fourth Corner and RQL Analysis