h_sphere: Hypothesis of Sphericity
In bbolker/cpcbp: common principal components/back-projection analysis
Description
Usage
Arguments
References
Examples
Description
Tests whether to reject null hypothesis that the last p-q
eigenvalues are equal, based on approximation 4.9
(Flury,1986). The value p is the dimension of the
matrices and the value q is the number of eigenvectors to
be kept.
Usage
1
Arguments
matList
list of covariance matrices
n
numeric vector of sample sizes
q
number of eigenvectors to be kept
References
Flury B.N. Asymptotic theory for common principal
component analysis. Annals Statist. 1986. 14, 418-430.
Examples
1
2
source("test_examples.R")
h_sphere(test_turtle,n_turtle,q=1)
bbolker/cpcbp documentation built on May 11, 2019, 9:28 p.m.
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Description Usage Arguments References Examples
Description
Tests whether to reject null hypothesis that the last p-q eigenvalues are equal, based on approximation 4.9 (Flury,1986). The value p is the dimension of the matrices and the value q is the number of eigenvectors to be kept.
Usage
1 |
Arguments
matList |
list of covariance matrices |
n |
numeric vector of sample sizes |
q |
number of eigenvectors to be kept |
References
Flury B.N. Asymptotic theory for common principal component analysis. Annals Statist. 1986. 14, 418-430.
Examples
1 2 | source("test_examples.R")
h_sphere(test_turtle,n_turtle,q=1)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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