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Directional (version 6.8)

Simulation of random values from the SESPC distribution: Simulation of random values from the SESPC distribution

Description

Simulation of random values from the SESPC distribution

Usage

rsespc(n, mu, theta)

Value

An \(n \times 3\) matrix with the simulated unit vectors.

Arguments

n

A number; how many vectors you want to generate.

mu

The mean vector the SESPC distribution, a vector in \(R^3\).

theta

The two \(\theta\) parameters of the SESPC distribution.

Author

Michail Tsagris.

R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.

Details

A random sample from the SESPC distribution is generated. In case the \(\theta_s\) are zero, the sample is drawn from the SIPC (spherical independent projected Cauchy) distribution.

References

Mardia, K. V. and Jupp, P. E. (2000). Directional statistics. Chicester: John Wiley & Sons.

See Also

sespc.mle, dsespc

Examples

Run this code
m <- colMeans( as.matrix( iris[,1:3] ) )
y <- rsespc(1000, m, c(1, 0.5) )
sespc.mle(y)

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