Trait Statistics

pub trait Statistics<T> {
    // Required methods
    fn mean(self) -> Option<T>;
    fn median(self) -> Option<T>;
    fn variance(self) -> Option<T>;
    fn std(self) -> Option<T>;
    fn float_max(self) -> T;
    fn float_min(self) -> T;
    fn difference(self) -> T;
    fn zero_crossings(self) -> usize;
    fn peak_average_ratio(self) -> Option<T>;
}

NOTE: if there are any NaNs in the Iterator then this trait will prduce unstable results

Required Methods

fn mean(self) -> Option<T>

fn median(self) -> Option<T>

fn variance(self) -> Option<T>

fn std(self) -> Option<T>

fn float_max(self) -> T

fn float_min(self) -> T

fn difference(self) -> T

fn zero_crossings(self) -> usize

fn peak_average_ratio(self) -> Option<T>

Implementors

impl<'a, T: Iterator<Item = &'a f32>> Statistics<f32> for T

impl<'a, T: Iterator<Item = &'a f64>> Statistics<f64> for T