[][src]Struct rolling_stats::Stats

pub struct Stats<T: Float + Zero + One + AddAssign + FromPrimitive + PartialEq + Debug> {
    pub count: usize,
    pub min: T,
    pub max: T,
    pub mean: T,
    pub std_dev: T,
    // some fields omitted

Stats is an object that calculates continuous min/max/mean/deviation for tracking of time varying statistics

See: https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Welford's_Online_algorithm for the algorithm


count: usize

Number of values collected

min: T

Minimum value

max: T

Maximum value

mean: T

Mean of sample set

std_dev: T

Standard deviation of sample


impl<T> Stats<T> where
    T: Float + Zero + One + AddAssign + FromPrimitive + PartialEq + Debug

pub fn new() -> Stats<T>[src]

Create a new rolling-stats object

pub fn update(&mut self, value: T)[src]

Update the rolling-stats object

Auto Trait Implementations

impl<T> Sync for Stats<T> where
    T: Sync

impl<T> Send for Stats<T> where
    T: Send

impl<T> Unpin for Stats<T> where
    T: Unpin

impl<T> RefUnwindSafe for Stats<T> where
    T: RefUnwindSafe

impl<T> UnwindSafe for Stats<T> where
    T: UnwindSafe

Blanket Implementations

impl<T, U> Into<U> for T where
    U: From<T>, 

impl<T> From<T> for T[src]

impl<T, U> TryFrom<U> for T where
    U: Into<T>, 

type Error = Infallible

The type returned in the event of a conversion error.

impl<T, U> TryInto<U> for T where
    U: TryFrom<T>, 

type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.

impl<T> BorrowMut<T> for T where
    T: ?Sized

impl<T> Borrow<T> for T where
    T: ?Sized

impl<T> Any for T where
    T: 'static + ?Sized