Struct std::rand::distributions::FisherFUnstable

pub struct FisherF {
    // some 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

fn main() { use std::rand; use std::rand::distributions::{FisherF, IndependentSample}; let f = FisherF::new(2.0, 32.0); let v = f.ind_sample(&mut rand::thread_rng()); println!("{} is from an F(2, 32) distribution", v) }

use std::rand;
use std::rand::distributions::{FisherF, IndependentSample};

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

Methods

impl FisherF

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>(&mut self, rng: &mut R) -> f64 where R: Rng

impl IndependentSample<f64> for FisherF

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