So, I’ve been working on missing data in statistical shape analysis for the last several years and one question that has popped up out of this is how would we deal with missing data for angular data (this question is related to how to deal with missing data in shapes, i swear).  So, as part of this I’ve been reading about regression models for angular data and angular data in general.

Here are some links to papers on the topic:

• A general angular regression model for the analysis of data on animal movement in ecology (2016)
• Regression models for angular response (1992)
• One Direction? A Tutorial for Circular Data Analysis Using R With Examples in Cognitive Psychology (2018)

I graduated with a Ph.D. in statistics ten years ago, and I start studying statistics almost 20 years ago, and I’ve never ever thought about angular data analysis until now.  I’m just constantly amazing by how little I know.  There is just too much stuff.

Cheers.