Circular statistics in R Circular Statistics in R provides the most comprehensive guide to the analysis of circular data in over a decade. Circular data arise in many scientific contexts both from angular observations and from daily or seasonal activity patterns. ... The natural way of representing such data graphically is as points located around the circumference of a circle hence their name. Importantly circular variables are periodic in nature and the origin or zero point such as the beginning of a new year is defined arbitrarily rather than necessarily emerging naturally from the system The use of likelihood based and computer intensive approaches to inference and modelling are stressed throughout the book. The R programming language is used to implement the methodology. Also provided are over 150 new functions for techniques not already covered in R. Back cover This book will be of value both to those new to circular data analysis as well as those more familiar with the field. For beginners the authors start by considering the fundamental graphical and numerical summaries used to represent circular data before introducing distributions that might be used to model them. When discussing model fitting the authors advocate reduced reliance on the classical von Mises distribution showcasing distributions that are capable of modelling features such as asymmetry and varying levels of kurtosis that are often exhibited by circular data