Trait Statistic

pub trait Statistic<T>
where
    T: Float,
{
    // Required methods
    fn mean(&self) -> T;
    fn arithmetic_mean(&self) -> T;
    fn geometric_mean(&self) -> T;
    fn harmonic_mean(&self) -> T;
    fn variance(&self) -> T;
    fn sample_variance(&self) -> f64;
    fn population_variance(&self) -> f64;
    fn standard_deviation(&self) -> T;
    fn sample_standard_deviation(&self) -> f64;
    fn population_standard_deviation(&self) -> f64;
    fn covariance(&self, other: &Self) -> T;
    fn correlation(&self, other: &Self) -> T;
    fn skewness(&self) -> T;
    fn kurtosis(&self) -> T;
    fn min(&self) -> T;
    fn max(&self) -> T;
    fn median(&self) -> T;
    fn percentile(&self, percentile: f64) -> T;
    fn quantile(&self, quantile: f64) -> T;
    fn interquartile_range(&self) -> T;
    fn range(&self) -> T;
}

Statistics trait for vectors of floating point numbers.

Required Methods

fn mean(&self) -> T

Calculate the mean of a vector. Simply a wrapper for arithmetic_mean.

fn arithmetic_mean(&self) -> T

Calculate the arithmetic mean of a vector.

fn geometric_mean(&self) -> T

Calculate the geometric mean of a vector.

fn harmonic_mean(&self) -> T

Calculate the harmonic mean of a vector.

fn variance(&self) -> T

Calculate the variance of a vector. Simply a wrapper for sample_variance.

fn sample_variance(&self) -> f64

Calculate the sample variance of a vector.

fn population_variance(&self) -> f64

Calculate the population variance of a vector.

fn standard_deviation(&self) -> T

Calculate the standard deviation of a vector. Simply a wrapper for sample_standard_deviation.

fn sample_standard_deviation(&self) -> f64

Calculate the sample standard deviation of a vector.

fn population_standard_deviation(&self) -> f64

Calculate the population standard deviation of a vector.

fn covariance(&self, other: &Self) -> T

Calculate the covariance of two vectors.

fn correlation(&self, other: &Self) -> T

Calculate the correlation of two vectors.

fn skewness(&self) -> T

Calculate the skewness of a vector.

fn kurtosis(&self) -> T

Calculate the kurtosis of a vector.

fn min(&self) -> T

Calculate the minimum value of a vector.

fn max(&self) -> T

Calculate the maximum value of a vector.

fn median(&self) -> T

Calculate the median of a vector.

fn percentile(&self, percentile: f64) -> T

Calculate the percentile of a vector.

fn quantile(&self, quantile: f64) -> T

Calculate the quantile of a vector.

fn interquartile_range(&self) -> T

Calculate the interquartile range of a vector.

fn range(&self) -> T

Calculate the range of a vector.

Dyn Compatibility

This trait is not dyn compatible.

In older versions of Rust, dyn compatibility was called "object safety", so this trait is not object safe.

Implementations on Foreign Types

impl Statistic<f64> for Vec<f64>

fn mean(&self) -> f64

fn arithmetic_mean(&self) -> f64

fn geometric_mean(&self) -> f64

fn harmonic_mean(&self) -> f64

fn variance(&self) -> f64

fn sample_variance(&self) -> f64

fn population_variance(&self) -> f64

fn standard_deviation(&self) -> f64

fn sample_standard_deviation(&self) -> f64

fn population_standard_deviation(&self) -> f64

fn covariance(&self, other: &Vec<f64>) -> f64

fn correlation(&self, other: &Vec<f64>) -> f64

fn skewness(&self) -> f64

fn kurtosis(&self) -> f64

fn min(&self) -> f64

fn max(&self) -> f64

fn median(&self) -> f64

fn percentile(&self, percentile: f64) -> f64

fn quantile(&self, quantile: f64) -> f64

fn interquartile_range(&self) -> f64

fn range(&self) -> f64

Implementors