pub struct Skewness { /* private fields */ }Expand description
Rolling Pearson skewness of the last period values.
mean = (1/n) · Σ x
m2 = (1/n) · Σ (x − mean)² // population variance
m3 = (1/n) · Σ (x − mean)³ // third central moment
Skew = m3 / m2^(3/2)Positive skewness means the right tail (large positive deviations from
the mean) is heavier than the left; negative skewness flags the
opposite. A symmetric distribution has skewness 0. This is the
population (Pearson) definition with divisor n; many statistics
packages report the bias-corrected sample skewness instead. The window
is required to have at least three points so the moments are
well-defined. A window with zero dispersion yields 0.
Each update is O(1): three running sums (Σ x, Σ x², Σ x³) are
maintained as the window slides; the central moments are then derived
from them via the binomial-expansion identities, so no inner loop runs
per bar.
§Example
use wickra_core::{Indicator, Skewness};
let mut indicator = Skewness::new(20).unwrap();
let mut last = None;
for i in 0..40 {
last = indicator.update(f64::from(i));
}
assert!(last.is_some());Implementations§
Trait Implementations§
Source§impl Indicator for Skewness
impl Indicator for Skewness
Source§fn update(&mut self, value: f64) -> Option<f64>
fn update(&mut self, value: f64) -> Option<f64>
Feed one new data point into the indicator and return the freshly computed
output, or
None if the indicator is still warming up.Source§fn reset(&mut self)
fn reset(&mut self)
Reset all internal state, leaving the indicator equivalent to a freshly
constructed instance with the same parameters.
Source§fn warmup_period(&self) -> usize
fn warmup_period(&self) -> usize
Number of inputs required before the first non-
None output can be produced.Auto Trait Implementations§
impl Freeze for Skewness
impl RefUnwindSafe for Skewness
impl Send for Skewness
impl Sync for Skewness
impl Unpin for Skewness
impl UnsafeUnpin for Skewness
impl UnwindSafe for Skewness
Blanket Implementations§
Source§impl<T> BatchExt for Twhere
T: Indicator,
impl<T> BatchExt for Twhere
T: Indicator,
Source§fn batch(&mut self, inputs: &[Self::Input]) -> Vec<Option<Self::Output>>
fn batch(&mut self, inputs: &[Self::Input]) -> Vec<Option<Self::Output>>
Run the indicator over a slice of inputs in order, returning one output (or
None during warmup) per input.Source§impl<T> BatchNanExt for T
impl<T> BatchNanExt for T
Source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
Source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
Source§impl<T> CloneToUninit for Twhere
T: Clone,
impl<T> CloneToUninit for Twhere
T: Clone,
Source§impl<T> IntoEither for T
impl<T> IntoEither for T
Source§fn into_either(self, into_left: bool) -> Either<Self, Self>
fn into_either(self, into_left: bool) -> Either<Self, Self>
Converts
self into a Left variant of Either<Self, Self>
if into_left is true.
Converts self into a Right variant of Either<Self, Self>
otherwise. Read moreSource§fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
Converts
self into a Left variant of Either<Self, Self>
if into_left(&self) returns true.
Converts self into a Right variant of Either<Self, Self>
otherwise. Read more