h_one: Comparing first CPC to one hypothetical eigenvector
In bbolker/cpcbp: common principal components/back-projection analysis
Description
Usage
Arguments
References
Examples
Description
Tests whether to reject the null hypothesis that the CPC
with the largest eigenvalue is similar to a hypothetical
eigenvector, based on equation 3.4 (Flury, 1986). If
comparing 2 or more eigenvectors, see the function
h_many.
Usage
1
h_one(matList, n, v)
Arguments
matList
list of matrices
n
numeric vector of sample sizes
v
eigenvector to be compared to
References
Flury B.N. Asymptotic theory for common principal
component analysis. Annals Statist. 1986. 14, 418-430.
Examples
1
2
3
source("test_examples.R")
v=rep((1/sqrt(3)),3)
h_one(test_turtle,n_turtle,v)
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 the null hypothesis that the CPC with the largest eigenvalue is similar to a hypothetical eigenvector, based on equation 3.4 (Flury, 1986). If comparing 2 or more eigenvectors, see the function h_many.
Usage
1 | h_one(matList, n, v)
|
Arguments
matList |
list of matrices |
n |
numeric vector of sample sizes |
v |
eigenvector to be compared to |
References
Flury B.N. Asymptotic theory for common principal component analysis. Annals Statist. 1986. 14, 418-430.
Examples
1 2 3 | source("test_examples.R")
v=rep((1/sqrt(3)),3)
h_one(test_turtle,n_turtle,v)
|
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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