random.HyperGeometric: Draw a random sample from a HyperGeometric distribution

In distributions3: Probability Distributions as S3 Objects

Draw a random sample from a HyperGeometric distribution

Description

Please see the documentation of HyperGeometric() for some properties of the HyperGeometric distribution, as well as extensive examples showing to how calculate p-values and confidence intervals.

Usage

## S3 method for class 'HyperGeometric'
random(x, n = 1L, drop = TRUE, ...)

Arguments

x	A HyperGeometric object created by a call to HyperGeometric().
n	The number of samples to draw. Defaults to 1L.
drop	logical. Should the result be simplified to a vector if possible?
...	Unused. Unevaluated arguments will generate a warning to catch mispellings or other possible errors.

Value

In case of a single distribution object or n = 1, either a numeric vector of length n (if drop = TRUE, default) or a matrix with n columns (if drop = FALSE).

See Also

Other HyperGeometric distribution: cdf.HyperGeometric(), pdf.HyperGeometric(), quantile.HyperGeometric()

Examples

set.seed(27)

X <- HyperGeometric(4, 5, 8)
X

random(X, 10)

pdf(X, 2)
log_pdf(X, 2)

cdf(X, 4)
quantile(X, 0.7)

distributions3 documentation built on Sept. 30, 2024, 9:37 a.m.