fisheretal {rotations} | R Documentation |
Transformation based pivotal bootstrap confidence region
Description
Find the radius of a 100(1-\alpha)
% confidence region for the central
orientation based on transforming a result from directional statistics.
Usage
fisheretal(x, alp = NULL, boot = TRUE, m = 300, symm = TRUE)
## S3 method for class 'Q4'
fisheretal(x, alp = NULL, boot = TRUE, m = 300, symm = TRUE)
## S3 method for class 'SO3'
fisheretal(x, alp = NULL, boot = TRUE, m = 300, symm = TRUE)
Arguments
x |
|
alp |
alpha level desired, e.g. 0.05 or 0.10. |
boot |
should the bootstrap or normal theory critical value be used. |
m |
number of bootstrap replicates to use to estimate critical value. |
symm |
logical; if TRUE (default), a symmetric region is constructed. |
Details
Compute the radius of a 100(1-\alpha)
% confidence region for the
central orientation based on the projected mean estimator using the method
for the mean polar axis as proposed in fisher1996. To be able to
reduce their method to a radius requires the additional assumption of
rotational symmetry, equation (10) in fisher1996.
fisher1996
Value
Radius of the confidence region centered at the projected mean.
See Also
bayesCR
, prentice
, chang
,
zhang
Examples
Qs<-ruars(20, rcayley, kappa = 100, space = 'Q4')
# The Fisher et al. method can be accesed from the "region" function or the "fisheretal" function
region(Qs, method = "transformation", type = "bootstrap", alp = 0.1,
symm = TRUE, estimator = "mean")
fisheretal(Qs, alp = 0.1, boot = TRUE, symm = TRUE)