# Struct rand::distributions::gamma::FisherF [−] [src]

    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

    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`

#### `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`

### `impl IndependentSample<f64> for FisherF`

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

### Derived Implementations

### `impl Copy for FisherF`

### `impl Clone for FisherF`

#### `fn clone(&self) -> FisherF`

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

# Help

## Keyboard Shortcuts

?
  Show this help dialog
S
  Focus the search field
⇤
  Move up in search results
⇥
  Move down in search results
⏎
  Go to active search result

## Search Tricks

Prefix searches with a type followed by a colon (e.g. `fn:`) to restrict the search to a given type.

Accepted types are: `fn`, `mod`, `struct`, `enum`, `trait`, `type`, `macro`, and `const`.

Search functions by type signature (e.g. `vec -> usize` or `* -> vec`)