[][src]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[src]

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

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

Trait Implementations

impl Distribution<f64> for FisherF[src]

impl Clone for FisherF[src]

impl Copy for FisherF[src]

impl Debug for FisherF[src]

Auto Trait Implementations

impl Send for FisherF

impl Unpin for FisherF

impl Sync for FisherF

impl UnwindSafe for FisherF

impl RefUnwindSafe for FisherF

Blanket Implementations

impl<T> ToOwned for T where
    T: Clone
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type Owned = T

The resulting type after obtaining ownership.

impl<T, U> Into<U> for T where
    U: From<T>, 
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impl<T> From<T> for T[src]

impl<T, U> TryFrom<U> for T where
    U: Into<T>, 
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type Error = Infallible

The type returned in the event of a conversion error.

impl<T, U> TryInto<U> for T where
    U: TryFrom<T>, 
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type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.

impl<T> BorrowMut<T> for T where
    T: ?Sized
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impl<T> Borrow<T> for T where
    T: ?Sized
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impl<T> Any for T where
    T: 'static + ?Sized
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