Struct criterion_stats::bivariate::Data

[+] Show declaration

pub struct Data<'a, X, Y>(_, _)
 where
    X: 'a,
    Y: 'a;

[−] Expand description

Bivariate (X, Y) data

Invariants:

• No NaNs in the data
• At least two data points in the set

Implementations

impl<'a, X, Y> Data<'a, X, Y>[−]

pub fn len(&self) -> usize[−]

Returns the length of the data set

pub fn is_empty(&self) -> bool[−]

Checks whether the data set is empty

pub fn iter(&self) -> Pairs<'a, X, Y>[−]

Iterate over the data set

impl<'a, X, Y> Data<'a, X, Y> where
    X: Float,
    Y: Float, [−]

pub fn new(xs: &'a [X], ys: &'a [Y]) -> Data<'a, X, Y>[−]

Creates a new data set from two existing slices

pub fn bootstrap<T, S>(
    &self,
    nresamples: usize,
    statistic: S
) -> T::Distributions where
    S: Fn(Data<'_, X, Y>) -> T,
    S: Sync,
    T: Tuple,
    T::Distributions: Send,
    T::Builder: Send, [−]

Returns the bootstrap distributions of the parameters estimated by the statistic

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

pub fn x(&self) -> &'a Sample<X>[−]

Returns a view into the X data

pub fn y(&self) -> &'a Sample<Y>[−]

Returns a view into the Y data

Trait Implementations

impl<'a, X, Y> Clone for Data<'a, X, Y>[+]

[+] Show hidden undocumented items

fn clone(&self) -> Data<'a, X, Y>[−]

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<'a, X, Y> Copy for Data<'a, X, Y>