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.
orientlib, onion, circular, SpherWave, rotations, ggplot2, sphereplot, Rcpp, RcppArmadillo
NumericalMathematics, Graphics, Environmetrics, HighPerformanceComputing, Phylogenetics
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For attribution, please cite this work as
Stanfill, et al., "The R Journal: rotations: An R Package for SO(3) Data", The R Journal, 2014
BibTeX citation
@article{RJ-2014-007,
author = {Stanfill, Bryan and Hofmann, Heike and Genschel, Ulrike},
title = {The R Journal: rotations: An R Package for SO(3) Data},
journal = {The R Journal},
year = {2014},
note = {https://doi.org/10.32614/RJ-2014-007},
doi = {10.32614/RJ-2014-007},
volume = {6},
issue = {1},
issn = {2073-4859},
pages = {68-78}
}