Struct criterion_stats::univariate::outliers::tukey::LabeledSample

pub struct LabeledSample<'a, A> where
    A: 'a + Float,  { /* fields omitted */ }

A classified/labeled sample.

The labeled data can be accessed using the indexing operator. The order of the data points is retained.

NOTE: Due to limitations in the indexing traits, only the label is returned. Once the IndexGet trait lands in stdlib, the indexing operation will return a (data_point, label) pair.

Implementations

impl<'a, A> LabeledSample<'a, A> where
    A: Float, 

pub fn count(&self) -> (usize, usize, usize, usize, usize)

Returns the number of data points per label

• Time: O(length)

pub fn fences(&self) -> (A, A, A, A)

Returns the fences used to classify the outliers

pub fn iter(&self) -> Iter<'a, A>

Returns an iterator over the labeled data

Methods from Deref<Target = Sample<A>>

pub fn max(&self) -> A

Returns the biggest element in the sample

• Time: O(length)

pub fn mean(&self) -> A

Returns the arithmetic average of the sample

• Time: O(length)

pub fn median_abs_dev(&self, median: Option<A>) -> A where
    usize: From<A, Output = Result<usize, Error>>, 

Returns the median absolute deviation

The median can be optionally passed along to speed up (2X) the computation

• Time: O(length)
• Memory: O(length)

pub fn median_abs_dev_pct(&self) -> A where
    usize: From<A, Output = Result<usize, Error>>, 

Returns the median absolute deviation as a percentage of the median

• Time: O(length)
• Memory: O(length)

pub fn min(&self) -> A

Returns the smallest element in the sample

• Time: O(length)

pub fn percentiles(&self) -> Percentiles<A> where
    usize: From<A, Output = Result<usize, Error>>, 

Returns a “view” into the percentiles of the sample

This “view” makes consecutive computations of percentiles much faster (O(1))

• Time: O(N log N) where N = length
• Memory: O(length)

pub fn std_dev(&self, mean: Option<A>) -> A

Returns the standard deviation of the sample

The mean can be optionally passed along to speed up (2X) the computation

• Time: O(length)

pub fn std_dev_pct(&self) -> A

Returns the standard deviation as a percentage of the mean

• Time: O(length)

pub fn sum(&self) -> A

Returns the sum of all the elements of the sample

• Time: O(length)

pub fn t(&self, other: &Sample<A>) -> A

Returns the t score between these two samples

• Time: O(length)

pub fn var(&self, mean: Option<A>) -> A

Returns the variance of the sample

The mean can be optionally passed along to speed up (2X) the computation

• Time: O(length)

pub fn bootstrap<T, S>(
    &self,
    nresamples: usize,
    statistic: S
) -> T::Distributions where
    S: Fn(&Sample<A>) -> T,
    S: Sync,
    T: Tuple,
    T: Send,
    T::Distributions: Send,
    T::Builder: Send, 

Returns the bootstrap distributions of the parameters estimated by the 1-sample statistic

• Multi-threaded
• Time: O(nresamples)
• Memory: O(nresamples)

Trait Implementations

impl<'a, A: Clone> Clone for LabeledSample<'a, A> where
    A: 'a + Float, 

fn clone(&self) -> LabeledSample<'a, A>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<'a, A: Copy> Copy for LabeledSample<'a, A> where
    A: 'a + Float, 

impl<'a, A> Deref for LabeledSample<'a, A> where
    A: Float, 

type Target = Sample<A>

The resulting type after dereferencing.

fn deref(&self) -> &Sample<A>

Dereferences the value.

impl<'a, A> Index<usize> for LabeledSample<'a, A> where
    A: Float, 

type Output = Label

The returned type after indexing.

fn index(&self, i: usize) -> &Label

Performs the indexing (container[index]) operation.

impl<'a, 'b, A> IntoIterator for &'b LabeledSample<'a, A> where
    A: Float, 

type Item = (A, Label)

The type of the elements being iterated over.

type IntoIter = Iter<'a, A>

Which kind of iterator are we turning this into?

fn into_iter(self) -> Iter<'a, A>

Creates an iterator from a value.