Struct mathru::stats::distrib::T

pub struct T { /* fields omitted */ }

T distribution

Fore more information: https://en.wikipedia.org/wiki/T_distribution

Methods

impl T

pub fn new(n: &f64) -> T

Create a probability distribution

Arguments

• n: > 0.0

Panics

if n <= 0.0

Example

extern crate mathru;
use mathru::stats::distrib::{Continuous, T};

let distrib: T = T::new(&1.2);

Trait Implementations

impl Continuous<f64, f64> for T

fn pdf<'a>(&'a self, x: f64) -> f64

Probability density function

Arguments

• x Random variable x &isin ࡃ

Example

extern crate mathru;
use mathru::stats::distrib::{Continuous, T};

let distrib: T = T::new(&1.2);
let x: f64 = 0.5;
let p: f64 = distrib.pdf(x);

fn cdf<'a>(&'a self, x: f64) -> f64

Cumulative distribution function

Arguments

• x Random variable

Example

extern crate mathru;
use mathru::stats::distrib::{Continuous, T};

let distrib: T = T::new(&1.3);
let x: f64 = 0.4;
let p: f64 = distrib.cdf(x);

fn quantile<'a, 'b>(&'a self, _p: f64) -> f64

Quantile function of inverse cdf

fn mean<'a>(&'a self) -> f64

Expected value

Panics

if self.n <= 1.0

Example

extern crate mathru;
use mathru::stats::distrib::{Continuous, T};

let distrib: T = T::new(&1.2);
let mean: f64 = distrib.mean();

fn variance<'a>(&'a self) -> f64

Variance

Example

extern crate mathru;
use mathru::stats::distrib::{Continuous, T};

let distrib: T = T::new(&2.2);
let var: f64 = distrib.variance();