Struct russell_stat::DistributionUniform

pub struct DistributionUniform { /* private fields */ }

Defines the Uniform / Type II Extreme Value Distribution (largest value)

Implementations

impl DistributionUniform

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

Creates a new Uniform distribution

Input

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

Examples found in repository

examples/distribution_uniform.rs (line 6)

fn main() -> Result<(), StrError> {
    // generate samples
    let mut rng = rand::thread_rng();
    let dist = DistributionUniform::new(-10.0, 10.0)?;
    let nsamples = 10_000;
    let mut data = vec![0.0; nsamples];
    for i in 0..nsamples {
        data[i] = dist.sample(&mut rng);
    }
    println!("{}", statistics(&data));

    // text-plot
    let stations = (0..21).map(|i| -10.0 + (i as f64)).collect::<Vec<f64>>();
    let mut hist = Histogram::new(&stations)?;
    hist.set_bar_char('🟪').set_bar_max_len(30);
    hist.count(&data);
    println!("{:.2}", hist);
    Ok(())
}

Trait Implementations

impl ProbabilityDistribution for DistributionUniform

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

Implements the Probability Density Function (CDF)

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

Implements the Cumulative Density Function (CDF)

fn mean(&self) -> f64

Returns the Mean

fn variance(&self) -> f64

Returns the Variance

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

Generates a pseudo-random number belonging to this probability distribution