Statistics, Department of
The R Journal
Date of this Version
6-2014
Document Type
Article
Citation
The R Journal (June 2014) 6(1); Editor: Deepayan Sarkar
Abstract
In this article we introduce the rotations package which provides users with the ability to simulate, analyze and visualize three-dimensional rotation data. More specifically it includes four commonly used distributions from which to simulate data, four estimators of the central orientation, six confidence region estimation procedures and two approaches to visualizing rotation data. All of these features are available for two different parameterizations of rotations: three-by-three matrices and quaternions. In addition, two datasets are included that illustrate the use of rotation data in practice
Included in
Numerical Analysis and Scientific Computing Commons, Programming Languages and Compilers Commons
Comments
Copyright 2014, The R Foundation. Open access material. License: CC BY 3.0 Unported