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Create an F distribution

Source: R/FisherF.R
FisherF.Rd

Create an F distribution

Usage

FisherF(df1, df2, lambda = 0)

Arguments

df1

Numerator degrees of freedom. Can be any positive number.

df2

Denominator degrees of freedom. Can be any positive number.

lambda

Non-centrality parameter. Can be any positive number. Defaults to 0.

Value

A FisherF object.

Details

We recommend reading this documentation on https://zeileis.github.io/distributions3/, where the math will render with additional detail.

TODO

See also

Other continuous distributions: Beta(), Cauchy(), ChiSquare(), Erlang(), Exponential(), Frechet(), GEV(), GP(), Gamma(), Gumbel(), LogNormal(), Logistic(), Normal(), RevWeibull(), StudentsT(), Tukey(), Uniform(), Weibull()

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