Struct FDistribution 

pub struct FDistribution {
    pub numerator_df: i64,
    pub denominator_df: i64,
    pub distribution_name: String,
    pub description: String,
}

Parameters of an F distribution.

The ratio of two independent chi-squared variates each divided by their degrees of freedom; the reference distribution for ANOVA and variance-ratio tests.

Fields

numerator_df: i64

Numerator degrees of freedom d₁; must be ≥ 1.

denominator_df: i64

Denominator degrees of freedom d₂; must be ≥ 1.

distribution_name: String

Optional human-readable name; unused by the numerics, defaults to empty.

description: String

Optional human-readable description; unused by the numerics, defaults to empty.

Trait Implementations

impl Cdf for FDistribution

fn cdf(&self, x: f64) -> f64

Evaluates the cumulative distribution function at x.

impl Clone for FDistribution

fn clone(&self) -> FDistribution

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for FDistribution

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

Formats the value using the given formatter.

impl Default for FDistribution

fn default() -> FDistribution

Returns the “default value” for a type.

impl LogCdf for FDistribution

fn logsf(&self, x: f64) -> f64

Evaluates the natural log of the survival function, ln P(X > x).

fn logcdf(&self, x: f64) -> f64

Evaluates the natural log of the CDF, ln P(X ≤ x).

impl Moments for FDistribution

fn mean(&self) -> Option<f64>

Returns the theoretical mean, or None if it is undefined.

fn variance(&self) -> Option<f64>

Returns the theoretical variance, or None if it is undefined.

impl Pdf for FDistribution

fn pdf(&self, x: f64) -> f64

Evaluates the probability density function at x.

impl Quantile for FDistribution

fn quantile(&self, p: f64) -> f64

Evaluates the quantile (inverse CDF) at probability p.

impl Sample for FDistribution

fn sample(&self, rng: &mut SplitMix64) -> f64

Draws one variate, advancing rng.