Draw a random sample from an F distribution

Usage

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

Arguments

x: A FisherF object created by a call to FisherF().
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).

Examples


set.seed(27)

X <- FisherF(5, 10, 0.2)
X
#> [1] "FisherF(df1 = 5, df2 = 10, lambda = 0.2)"

random(X, 10)
#>  [1] 3.1450634 0.2781146 0.5846266 0.8103721 0.6263227 2.4989529 0.6281965
#>  [8] 0.3110039 0.5357005 0.4882204

pdf(X, 2)
#> [1] 0.1699603
log_pdf(X, 2)
#> [1] -1.77219

cdf(X, 4)
#> [1] 0.9667464
quantile(X, 0.7)
#> [1] 1.467954

cdf(X, quantile(X, 0.7))
#> [1] 0.7
quantile(X, cdf(X, 7))
#> [1] 7