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rotations (version 0.1)

Tools for Working with Rotation Data

Description

This package implements tools for working with rotational data: it allows simulation from the most commonly used distributions on SO(3), it includes methods for different mean and median type estimators for the central orientation of a sample, it provides confidence regions for those estimates and it includes a novel visualization technique for rotation data.

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Version

Install

install.packages('rotations')

Monthly Downloads

277

Version

0.1

License

MIT + file LICENSE

Maintainer

Bryan Stanfill

Last Published

September 9th, 2013

Functions in rotations (0.1)

SO3

Rotation matrices
chang

Chang and Rivest confidence region method
cayley_kappa

Circular variance and concentration parameter
SO3-class

SO3 class.
prentice

Prentice confidence region method
dist

Compute the rotational distance
weighted.mean.SO3

Weighted Mean Rotation
Haar

Uniform distribution on $SO(3)$
sum_dist

Sample distance
fisheretal

Fisher confidence region method
project.SO3

Projection into SO(3)
drill

Drill data set
angle

Misorientation angle
center

Center rotation data
axis

Misorientation axis
Angular-distributions

Angular distributions
Fisher

The matrix-Fisher distribution
Mises

The circular-von Mises distribution
pointsXYZ

Project rotation data onto sphere
UARS

Generic UARS Distribution
Q4

Quaternions
exp_skew

Matrix exponential
fisher_kappa

Circular variance and concentration parameter
plot.SO3

Visualizing random rotations.
region

Confidence region for central orientation
zhang

Zhang and Nordman confidence region method
nickel

Nickel electron backscatter diffraction data set
genR

Generate rotations
Q4-class

Q4 class.
vmises_kappa

Circular variance and concentration parameter
gradient.search

Gradient optimization for rotation data
log.SO3

Rotation logarithm
median.SO3

Median rotation
Cayley

The symmetric Cayley distribution
mean.SO3

Mean rotation
package-rotations

A package for working with rotaional data.