Struct rand_distr::StudentT

pub struct StudentT<N> { /* fields omitted */ }

The Student t distribution, t(nu), where nu is the degrees of freedom.

Example

use rand_distr::{StudentT, Distribution};

let t = StudentT::new(11.0).unwrap();
let v = t.sample(&mut rand::thread_rng());
println!("{} is from a t(11) distribution", v)

Methods

impl<N: Float> StudentT<N> where
    StandardNormal: Distribution<N>,
    Exp1: Distribution<N>,
    Open01: Distribution<N>, 

pub fn new(n: N) -> Result<StudentT<N>, ChiSquaredError>

Create a new Student t distribution with n degrees of freedom.

Trait Implementations

impl<N: Clone> Clone for StudentT<N>

fn clone(&self) -> StudentT<N>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<N: Copy> Copy for StudentT<N>

impl<N: Debug> Debug for StudentT<N>

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

Formats the value using the given formatter.

impl<N: Float> Distribution<N> for StudentT<N> where
    StandardNormal: Distribution<N>,
    Exp1: Distribution<N>,
    Open01: Distribution<N>, 

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

Generate a random value of T, using rng as the source of randomness.

Important traits for DistIter<D, R, T>

impl<D, R, T> Iterator for DistIter<D, R, T> where
    D: Distribution<T>,
    R: Rng,  type Item = T;

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng, 

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