Enum QuantileInterpolation 

pub enum QuantileInterpolation {
    InvertedCdf,
    AveragedInvertedCdf,
    ClosestObservation,
    InterpolatedInvertedCdf,
    Hazen,
    Weibull,
    Linear,
    MedianUnbiased,
    NormalUnbiased,
    Midpoint,
    Nearest,
    Lower,
    Higher,
}

Methods for interpolating quantiles

These methods correspond to the methods in scipy.stats.quantile.

Variants

InvertedCdf

Return the first data point whose position equals or exceeds the quantile. Also known as type 1 in Hyndman and Fan’s classification.

AveragedInvertedCdf

Return the average of the two data points closest to the quantile. Also known as type 2 in Hyndman and Fan’s classification.

ClosestObservation

Return the closest data point to the quantile. Also known as type 3 in Hyndman and Fan’s classification.

InterpolatedInvertedCdf

Use linear interpolation of the inverted CDF, with m=0. Also known as type 4 in Hyndman and Fan’s classification.

Hazen

Use linear interpolation with m=0.5 (Hazen’s formula). Also known as type 5 in Hyndman and Fan’s classification.

Weibull

Use linear interpolation with m=p (Weibull’s formula). Also known as type 6 in Hyndman and Fan’s classification.

Linear

Use linear interpolation with m=1-p (standard linear interpolation). Also known as type 7 in Hyndman and Fan’s classification (default in R).

MedianUnbiased

Use linear interpolation with m=p/3 + 1/3 (median-unbiased). Also known as type 8 in Hyndman and Fan’s classification.

NormalUnbiased

Use linear interpolation with m=p/4 + 3/8 (normal-unbiased). Also known as type 9 in Hyndman and Fan’s classification.

Midpoint

Use a midpoint interpolation.

Nearest

Use nearest interpolation.

Lower

Use lower interpolation.

Higher

Use higher interpolation.

Trait Implementations

impl Clone for QuantileInterpolation

fn clone(&self) -> QuantileInterpolation

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for QuantileInterpolation

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

Formats the value using the given formatter.

impl Default for QuantileInterpolation

fn default() -> QuantileInterpolation

Returns the “default value” for a type.

impl PartialEq for QuantileInterpolation

fn eq(&self, other: &QuantileInterpolation) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Copy for QuantileInterpolation

impl Eq for QuantileInterpolation

impl StructuralPartialEq for QuantileInterpolation