probhat (version 0.3.1)

72_random_number_generation: Random Numbers

Description

Generate random numbers (or synthetic data), univariate or multivariate.

Usage

rng (xf, n=1, …)

Arguments

xf

A numeric vector, suitable function object, or an object that can be coerced to a numeric vector. Here, a suitable function object is quantile function, or a chained quantile function. Refer to the references and see also sections.

n

Integer, number of random numbers.

…

Other arguments. Refer to the details section.

Value

A numeric vector, or numeric matrix.

Details

If xf is a numeric vector, a qfuv.el object is created using xf as the main argument. Any arguments contained within …, are passed to the qfuv.el constructor.

If xf is not a quantile function, these functions try to coerce it to a numeric vector, and apply the above.

Note that the method used for multivariate random number generation is not efficient.

References

Refer to the vignette for an overview, references and better examples.

See Also

Succinct Constructors Discrete Kernel Smoothing, Continuous Kernel Smoothing Categorical Distributions, Empirical-Like Distributions

Examples

# NOT RUN {
ph.data.prep ()

cFht <- qfuv.cks (height)
rng (cFht, 30)

chFht <- chqf.cks (trees)
rng (chFht, 30)

rng (height, 30)
# }