Struct rand::distributions::FisherF

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

pub fn new(m: f64, n: f64) -> FisherF

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

Trait Implementations

impl Sample<f64> for FisherF

fn sample<R: Rng>(&mut self, rng: &mut R) -> f64

Deprecated since 0.5.0

: use Distribution instead

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

impl IndependentSample<f64> for FisherF

fn ind_sample<R: Rng>(&self, rng: &mut R) -> f64

Deprecated since 0.5.0

: use Distribution instead

Generate a random value.

impl Distribution<f64> for FisherF

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> f64

Generate a random value of T, using rng as the source of randomness.

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

impl<'a, D, R, T> Iterator for DistIter<'a, D, R, T> where
    D: Distribution<T>,
    R: Rng + 'a,  type Item = T;

fn sample_iter<'a, R>(&'a self, rng: &'a mut R) -> DistIter<'a, Self, R, T> where     Self: Sized,     R: Rng,

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

impl Clone for FisherF

fn clone(&self) -> FisherF

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Copy for FisherF

impl Debug for FisherF

fn fmt(&self, f: &mut Formatter) -> Result

Formats the value using the given formatter.