# Struct rand::distributions::gamma::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, 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`
[src]

#### `pub fn new(m: f64, n: f64) -> 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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#### `fn clone(&self) -> FisherF`
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Returns a copy of the value. Read more

#### `fn clone_from(&mut self, source: &Self)`
1.0.0
[src]

Performs copy-assignment from `source`. Read more

### `impl Copy for FisherF`
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### `impl Debug for FisherF`
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#### `fn fmt(&self, __arg_0: &mut Formatter) -> Result`
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Formats the value using the given formatter. Read more

### `impl Sample<f64> for FisherF`
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#### `fn sample<R: Rng>(&mut self, rng: &mut R) -> f64`
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Generate a random value of `Support`, using `rng` as the source of randomness. Read more

### `impl IndependentSample<f64> for FisherF`
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#### `fn ind_sample<R: Rng>(&self, rng: &mut R) -> f64`
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Generate a random value.

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