pub trait StatsExt {
    fn sum(&self) -> f64;
fn min(&self) -> f64;
fn max(&self) -> f64;
fn mean(&self) -> f64;
fn var(&self) -> f64;
fn std_dev(&self) -> f64;
fn imin(&self) -> usize;
fn imax(&self) -> usize; }
Expand description

Trait that provides simple descriptive statistics on a univariate set of numeric samples.

Required methods

Sum of the samples.

Note: this method sacrifices performance at the altar of accuracy Depends on IEEE-754 arithmetic guarantees. See proof of correctness at: “Adaptive Precision Floating-Point Arithmetic and Fast Robust Geometric Predicates”

Minimum value of the samples.

Maximum value of the samples.

Arithmetic mean (average) of the samples: sum divided by sample-count.

See: https://en.wikipedia.org/wiki/Arithmetic_mean

Variance of the samples: bias-corrected mean of the squares of the differences of each sample from the sample mean. Note that this calculates the sample variance rather than the population variance, which is assumed to be unknown. It therefore corrects the (n-1)/n bias that would appear if we calculated a population variance, by dividing by (n-1) rather than n.

See: https://en.wikipedia.org/wiki/Variance

Standard deviation: the square root of the sample variance.

Note: this is not a robust statistic for non-normal distributions. Prefer the median_abs_dev for unknown distributions.

See: https://en.wikipedia.org/wiki/Standard_deviation

Index to the minimum value of the samples.

Index to the maximum value of the samples.

Implementations on Foreign Types

Implementors