covmat.test: Tests if a given sample covariance matrix is significantly...
In Ammlakh/multivaR: Multivariate Analysis in R
covmat.test R Documentation
Tests if a given sample covariance matrix is significantly different than a null
Description
Tests if a given sample covariance matrix is significantly different than a null
Usage
covmat.test(S, sig.0, N, k = 1)
Arguments
S
Sample covariance matrix from multivariate responses
sig.0
Hypothesized covariance matrix
N
Sample size
K
Number of groups in multivariate data
Value
Test statistics, p-values and df for covariance matrix test
Examples
test.covmat(cov(iris[,1:4]), matrix(rep(0,16), ncol = 4), 150, 3)
Ammlakh/multivaR documentation built on May 1, 2022, 12:15 a.m.
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| covmat.test | R Documentation |
Tests if a given sample covariance matrix is significantly different than a null
Description
Tests if a given sample covariance matrix is significantly different than a null
Usage
covmat.test(S, sig.0, N, k = 1)
Arguments
S |
Sample covariance matrix from multivariate responses |
sig.0 |
Hypothesized covariance matrix |
N |
Sample size |
K |
Number of groups in multivariate data |
Value
Test statistics, p-values and df for covariance matrix test
Examples
test.covmat(cov(iris[,1:4]), matrix(rep(0,16), ncol = 4), 150, 3)
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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