corSample {fungible} | R Documentation |
Sample Correlation Matrices from a Population Correlation Matrix
Description
Sample correlation (covariance) matrices from a population correlation matrix (see Browne, 1968; Kshirsagar, 1959)
Usage
corSample(R, n)
Arguments
R |
A population correlation matrix. |
n |
Sample correlation (covariance) matrices will be generated assuming a sample size of n. |
Value
cor.sample |
Sample correlation matrix. |
cov.sample |
Sample covariance matrix. |
Author(s)
Niels Waller
References
Browne, M. (1968). A comparison of factor analytic techniques. Psychometrika, 33(3), 267-334.
Kshirsagar, A. (1959). Bartlett decomposition and Wishart distribution. The Annals of Mathematical Statistics, 30(1), 239-241.
Examples
R <- matrix(c(1, .5, .5, 1), 2, 2)
# generate a sample correlation from pop R with n = 25
out <- corSample(R, n = 25)
out$cor.sample
out$cov.sample
[Package fungible version 2.4.4 Index]