Struct nannou::rand::distributions::Poisson

pub struct Poisson { /* fields omitted */ }

The Poisson distribution Poisson(lambda).

This distribution has a density function: f(k) = lambda^k * exp(-lambda) / k! for k >= 0.

Example

use rand::distributions::{Poisson, Distribution};

let poi = Poisson::new(2.0);
let v = poi.sample(&mut rand::thread_rng());
println!("{} is from a Poisson(2) distribution", v);

Methods

impl Poisson

pub fn new(lambda: f64) -> Poisson

Construct a new Poisson with the given shape parameter lambda. Panics if lambda <= 0.

Trait Implementations

impl Debug for Poisson

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

Formats the value using the given formatter.

impl Distribution<u64> for Poisson

fn sample<R>(&self, rng: &mut R) -> u64 where
    R: Rng + ?Sized, 

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

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

impl Copy for Poisson

impl Clone for Poisson

fn clone(&self) -> Poisson

Returns a copy of the value.

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

Performs copy-assignment from source.