[R-sig-eco] Online course: Data Exploration, Regression, GLM & GAM. With intro to R

[Alain Zuur]

We still have some places available on the following online statistics 
course:

*Course*: Data Exploration, Regression, GLM & GAM. With intro to R
*Dates*: 16-20 June 2025.
*Teaching times*: 08.30-15.30 BST
*Flyer*: www.highstat.com/Courses/Flyers/Flyer2025_06_RGG .pdf
*Registration*: www.highstat.com

*Course content*: We will begin with a brief intro to R and provide a 
step-by-step guide for data exploration, helping you avoid common 
statistical mistakes. You’ll learn how to identify outliers, manage 
collinearity, visualise relationships, and understand dependency 
structures. We will also explain why checking for normality at this 
stage is unnecessary.

We will then move on to multiple linear regression, a key statistical 
tool. We’ll cover the basics of linear regression using examples from 
biology, discuss potential challenges, and introduce the concept of 
interactions. We will demonstrate how generalised linear models (GLMs) 
can be used to analyse count data, presence-absence data, proportional 
data, and continuous data. Some key distributions will be explored in 
detail, along with a clear overview of all GLMs.

We will also discuss and apply generalised additive models (GAMs) to 
handle non-linear relationships. We will cover smoother-factor 
interactions and explore model selection within GAMs.

Throughout the course, there will be around 15 exercises to help you 
apply what you’ve learned.


Kind regards,

Alain Zuur



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