Struct rand::distributions::FisherF[][src]

pub struct FisherF { /* fields omitted */ }

The Fisher F distribution F(m, n).

This distribution is equivalent to the ratio of two normalised chi-squared distributions, that is, F(m,n) = (χ²(m)/m) / (χ²(n)/n).

Example

use rand::distributions::{FisherF, Distribution};

let f = FisherF::new(2.0, 32.0);
let v = f.sample(&mut rand::thread_rng());
println!("{} is from an F(2, 32) distribution", v)

Methods

impl FisherF
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Create a new FisherF distribution, with the given parameter. Panics if either m or n are not positive.

Trait Implementations

impl Clone for FisherF
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Returns a copy of the value. Read more

Performs copy-assignment from source. Read more

impl Copy for FisherF
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impl Debug for FisherF
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Formats the value using the given formatter. Read more

impl Distribution<f64> for FisherF
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Generate a random value of T, using rng as the source of randomness.

Important traits for DistIter<'a, D, R, T>

Create an iterator that generates random values of T, using rng as the source of randomness. Read more

impl Sample<f64> for FisherF
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Deprecated since 0.5.0

: use Distribution instead

Generate a random value of Support, using rng as the source of randomness. Read more

impl IndependentSample<f64> for FisherF
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Deprecated since 0.5.0

: use Distribution instead

Generate a random value.

Auto Trait Implementations

impl Send for FisherF

impl Sync for FisherF