Learn R Programming

rotations (version 0.1)

zhang: Zhang and Nordman confidence region method

Description

Compute the radius of a $100(1-\alpha)$% confidence region for the central orientation.

Usage

zhang(x, estimator, alp, m)

## S3 method for class 'SO3': zhang(x, estimator, alp = NULL, m = 300)

## S3 method for class 'Q4': zhang(x, estimator, alp = NULL, m = 300)

Arguments

x
$n\times p$ matrix where each row corresponds to a random rotation in matrix (p=9) or quaternion (p=4) form.
estimator
character string either "mean" or "median."
alp
alpha level desired, e.g. 0.05 or 0.10.
m
number of replicates to use to estimate the critical value.

Value

  • Radius of the confidence region centered at the specified estimator.

Details

Compute the radius of a $100(1-\alpha)$% confidence region for the central orientation based on the projected mean estimator using the method due to Zhang & Nordman (2009) (unpublished MS thesis). By construction each axis will have the same radius so the radius reported is for all three axis. A normal theory version of this procedure uses the theoretical chi-square limiting distribution and is given by the chang option.

See Also

prentice, fisheretal, chang

Examples

Run this code
Rs<-ruars(20,rcayley,kappa=100)
region(Rs,method='moment',type='bootstrap',alp=0.1,estimator='mean')

Run the code above in your browser using DataLab