Determine quantiles of a HyperGeometric distribution

Determine quantiles of a HyperGeometric distribution

Usage

# S3 method for HyperGeometric
quantile(x, probs, drop = TRUE, elementwise = NULL, ...)

Arguments

x

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

probs

A vector of probabilities.

drop

logical. Should the result be simplified to a vector if possible?

elementwise

logical. Should each distribution in x be evaluated at all elements of probs (elementwise = FALSE, yielding a matrix)? Or, if x and probs have the same length, should the evaluation be done element by element (elementwise = TRUE, yielding a vector)? The default of NULL means that elementwise = TRUE is used if the lengths match and otherwise elementwise = FALSE is used.

...

Arguments to be passed to qhyper. Unevaluated arguments will generate a warning to catch mispellings or other possible errors.

Value

In case of a single distribution object, either a numeric vector of length probs (if drop = TRUE, default) or a matrix with length(probs) columns (if drop = FALSE). In case of a vectorized distribution object, a matrix with length(probs) columns containing all possible combinations.

See also

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

Examples

set.seed(27)

X <- HyperGeometric(4, 5, 8)
X
#> [1] "HyperGeometric distribution (m = 4, n = 5, k = 8)"

random(X, 10)
#>  [1] 3 4 3 4 4 4 4 4 4 4

pdf(X, 2)
#> [1] 0
log_pdf(X, 2)
#> [1] -Inf

cdf(X, 4)
#> [1] 1
quantile(X, 0.7)
#> [1] 4