Struct russell_stat::DistributionUniform

pub struct DistributionUniform { /* private fields */ }

Implements the continuous Uniform distribution

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

Implementations

impl DistributionUniform

pub fn new(xmin: f64, xmax: f64) -> Result<Self, StrError>

Allocates a new instance

Input

• xmin – min x value
• xmax – max x value

Trait Implementations

impl ProbabilityDistribution for DistributionUniform

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

Evaluates the Probability Density Function (PDF)

Examples

use russell_stat::*;

fn main() -> Result<(), StrError> {
    let dist = DistributionUniform::new(1.0, 2.0)?;
    assert_eq!(dist.pdf(1.5), 1.0);
    Ok(())
}

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

Evaluates the Cumulative Distribution Function (CDF)

Examples

use russell_stat::*;

fn main() -> Result<(), StrError> {
    let dist = DistributionUniform::new(1.0, 2.0)?;
    assert_eq!(dist.cdf(1.5), 0.5);
    Ok(())
}

fn mean(&self) -> f64

Returns the Mean

Examples

use russell_stat::*;

fn main() -> Result<(), StrError> {
    let dist = DistributionUniform::new(1.0, 2.0)?;
    assert_eq!(dist.mean(), 1.5);
    Ok(())
}

fn variance(&self) -> f64

Returns the Variance

Examples

use russell_stat::*;

fn main() -> Result<(), StrError> {
    let dist = DistributionUniform::new(1.0, 2.0)?;
    assert_eq!(dist.variance(), 1.0 / 12.0);
    Ok(())
}

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> f64

Generates a pseudo-random number belonging to this probability distribution

Examples

use russell_stat::*;

fn main() -> Result<(), StrError> {
    let dist = DistributionUniform::new(1.0, 2.0)?;
    let mut rng = get_rng();
    println!("sample = {}", dist.sample(&mut rng));
    Ok(())
}