Struct average::Skewness

pub struct Skewness { /* private fields */ }

Available on crate features std or libm only.

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 NaN 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.

Returns NaN for samples of size 1 or less.

pub fn population_variance(&self) -> f64

Calculate the population variance of the sample.

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

Returns NaN for an empty sample.

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.

Returns NaN for an empty sample.

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<'de> Deserialize<'de> for Skewness

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

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> Extend<&'a f64> for Skewness

fn extend<T>(&mut self, iter: T)

where T: IntoIterator<Item = &'a f64>,

Extends a collection with the contents of an iterator.

fn extend_one(&mut self, item: A)

🔬This is a nightly-only experimental API. (extend_one)

Extends a collection with exactly one element.

fn extend_reserve(&mut self, additional: usize)

🔬This is a nightly-only experimental API. (extend_one)

Reserves capacity in a collection for the given number of additional elements.

impl Extend<f64> for Skewness

fn extend<T>(&mut self, iter: T)

where T: IntoIterator<Item = f64>,

Extends a collection with the contents of an iterator.

fn extend_one(&mut self, item: A)

🔬This is a nightly-only experimental API. (extend_one)

Extends a collection with exactly one element.

fn extend_reserve(&mut self, additional: usize)

🔬This is a nightly-only experimental API. (extend_one)

Reserves capacity in a collection for the given number of additional elements.

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<'a> FromParallelIterator<&'a f64> for Skewness

Available on crate feature rayon only.

fn from_par_iter<I>(par_iter: I) -> Skewness

where I: IntoParallelIterator<Item = &'a f64>, Self: Merge,

Creates an instance of the collection from the parallel iterator par_iter.

impl FromParallelIterator<f64> for Skewness

Available on crate feature rayon only.

fn from_par_iter<I>(par_iter: I) -> Skewness

where I: IntoParallelIterator<Item = f64>, Self: Merge,

Creates an instance of the collection from the parallel iterator par_iter.

impl Merge for Skewness

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

Merge the other estimator into this one.

impl Serialize for Skewness

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.