Description Usage Arguments Value Examples
View source: R/gaussianDistribution.R
Generate a Gaussian Distribution with specific covariance
1 | gaussianDistribution(p, n, diag_cov = "unstructure")
|
p |
Dimension of the covariance |
n |
Number of samples |
diag_cov |
Structure of the covariance matrix |
A list contains correlation, simulated data, multivariate mean, multivariate standard deviation, covariance
1 2 3 | out = gaussianDistribution(100, 50, "unstructure")
out = gaussianDistribution(100, 50, "diagonal")
out = gaussianDistribution(100, 50, "toeplitz")
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