statrs::statistics

Trait Distribution

Source 
pub trait Distribution<T: Float> {
    // Provided methods
    fn mean(&self) -> Option<T> { ... }
    fn variance(&self) -> Option<T> { ... }
    fn std_dev(&self) -> Option<T> { ... }
    fn entropy(&self) -> Option<T> { ... }
    fn skewness(&self) -> Option<T> { ... }
}

Provided Methods§

Source

fn mean(&self) -> Option<T>

Returns the mean, if it exists.

§Examples
use statrs::statistics::Distribution;
use statrs::distribution::Uniform;

let n = Uniform::new(0.0, 1.0).unwrap();
assert_eq!(0.5, n.mean().unwrap());
Source

fn variance(&self) -> Option<T>

Returns the variance, if it exists.

§Examples
use statrs::statistics::Distribution;
use statrs::distribution::Uniform;

let n = Uniform::new(0.0, 1.0).unwrap();
assert_eq!(1.0 / 12.0, n.variance().unwrap());
Source

fn std_dev(&self) -> Option<T>

Returns the standard deviation, if it exists.

§Examples
use statrs::statistics::Distribution;
use statrs::distribution::Uniform;

let n = Uniform::new(0.0, 1.0).unwrap();
assert_eq!((1f64 / 12f64).sqrt(), n.std_dev().unwrap());
Source

fn entropy(&self) -> Option<T>

Returns the entropy, if it exists.

§Examples
use statrs::statistics::Distribution;
use statrs::distribution::Uniform;

let n = Uniform::new(0.0, 1.0).unwrap();
assert_eq!(0.0, n.entropy().unwrap());
Source

fn skewness(&self) -> Option<T>

Returns the skewness, if it exists.

§Examples
use statrs::statistics::Distribution;
use statrs::distribution::Uniform;

let n = Uniform::new(0.0, 1.0).unwrap();
assert_eq!(0.0, n.skewness().unwrap());

Implementors§