Struct kolmogorov_smirnov::ecdf::Ecdf

pub struct Ecdf<T: Ord> {
    // some fields omitted
}

Methods

impl<T: Ord + Clone> Ecdf<T>

fn new(samples: &[T]) -> Ecdf<T>

Construct a new representation of a cumulative distribution function for a given sample.

The construction will involve computing a sorted clone of the given sample and may be inefficient or completely prohibitive for large samples. This computation is amortized significantly if there is heavy use of the value function.

Panics

The sample set must be non-empty.

Examples

extern crate kolmogorov_smirnov as ks;

let samples = vec!(9, 8, 7, 6, 5, 4, 3, 2, 1, 0);
let ecdf = ks::Ecdf::new(&samples);

fn value(&self, t: T) -> f64

Calculate a value of the empirical cumulative distribution function for a given sample.

Examples

extern crate kolmogorov_smirnov as ks;

let samples = vec!(9, 8, 7, 6, 5, 4, 3, 2, 1, 0);
let ecdf = ks::Ecdf::new(&samples);
println!("{}", ecdf.value(4));