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

Usage

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

Arguments

x

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

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 Geometric distribution: cdf.Geometric(), pdf.Geometric(), quantile.Geometric()

Examples


set.seed(27)

X <- Geometric(0.3)
X
#> [1] "Geometric(p = 0.3)"

random(X, 10)
#>  [1] 0 1 9 2 4 6 4 2 3 1

pdf(X, 2)
#> [1] 0.147
log_pdf(X, 2)
#> [1] -1.917323

cdf(X, 4)
#> [1] 0.83193
quantile(X, 0.7)
#> [1] 3