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Drawing samples from skew distributions

In this exercise, you will generate random samples from a bivariate skew-normal distribution using the rmsn() function from the sn package for specified location, scale, and skewness parameters. You will then modify the code to generate random samples from a bivariate t-distribution.

The mu.sim and sigma.sim objects are preloaded for you.

This exercise is part of the course

Multivariate Probability Distributions in R

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Generate the skew-normal samples 
skewnorm.sample <- rmsn(n = ___, xi = ___, Omega = ___, alpha = ___) 

# Print first six samples
head(___)
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