distributions3 (version 0.1.2)

pdf.HyperGeometric: Evaluate the probability mass function of 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 HyperGeometric
pdf(d, x, ...)
# S3 method for HyperGeometric
log_pdf(d, x, ...)

Arguments

d

A HyperGeometric object created by a call to HyperGeometric().

x

A vector of elements whose probabilities you would like to determine given the distribution d.

...

Unused. Unevaluated arguments will generate a warning to catch mispellings or other possible errors.

Value

A vector of probabilities, one for each element of x.

See Also

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

Examples

# NOT RUN {
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)
# }