Struct average::Skewness

pub struct Skewness { /* fields omitted */ }

Estimate the arithmetic mean, the variance and the skewness of a sequence of numbers ("population").

This can be used to estimate the standard error of the mean.

Implementations

impl Skewness

pub fn new() -> Skewness

Create a new skewness estimator.

pub fn is_empty(&self) -> bool

Determine whether the sample is empty.

pub fn mean(&self) -> f64

Estimate the mean of the population.

Returns 0 for an empty sample.

pub fn len(&self) -> u64

Return the sample size.

pub fn sample_variance(&self) -> f64

Calculate the sample variance.

This is an unbiased estimator of the variance of the population.

pub fn population_variance(&self) -> f64

Calculate the population variance of the sample.

This is a biased estimator of the variance of the population.

pub fn error_mean(&self) -> f64

Estimate the standard error of the mean of the population.

pub fn skewness(&self) -> f64

Estimate the skewness of the population.

Trait Implementations

impl Clone for Skewness

fn clone(&self) -> Skewness

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Skewness

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for Skewness

fn default() -> Skewness

Returns the "default value" for a type.

impl Estimate for Skewness

fn add(&mut self, x: f64)

Add an observation sampled from the population.

fn estimate(&self) -> f64

Estimate the statistic of the population.

impl<'a> FromIterator<&'a f64> for Skewness

fn from_iter<T>(iter: T) -> Skewness where
    T: IntoIterator<Item = &'a f64>, 

Creates a value from an iterator.

impl FromIterator<f64> for Skewness

fn from_iter<T>(iter: T) -> Skewness where
    T: IntoIterator<Item = f64>, 

Creates a value from an iterator.

impl Merge for Skewness

fn merge(&mut self, other: &Skewness)

Merge the other estimator into this one.