Struct rand_distr::LogNormal

pub struct LogNormal<F> where
    F: Float,
    StandardNormal: Distribution<F>,  { /* fields omitted */ }

The log-normal distribution ln N(mean, std_dev**2).

If X is log-normal distributed, then ln(X) is N(mean, std_dev**2) distributed.

Example

use rand_distr::{LogNormal, Distribution};

// mean 2, standard deviation 3
let log_normal = LogNormal::new(2.0, 3.0).unwrap();
let v = log_normal.sample(&mut rand::thread_rng());
println!("{} is from an ln N(2, 9) distribution", v)

Implementations

impl<F> LogNormal<F> where
    F: Float,
    StandardNormal: Distribution<F>, 

pub fn new(mean: F, std_dev: F) -> Result<LogNormal<F>, Error>

Construct a new LogNormal distribution with the given mean and standard deviation of the logarithm of the distribution.

Trait Implementations

impl<F: Clone> Clone for LogNormal<F> where
    F: Float,
    StandardNormal: Distribution<F>, 

fn clone(&self) -> LogNormal<F>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<F: Debug> Debug for LogNormal<F> where
    F: Float,
    StandardNormal: Distribution<F>, 

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

Formats the value using the given formatter.

impl<F> Distribution<F> for LogNormal<F> where
    F: Float,
    StandardNormal: Distribution<F>, 

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

Generate a random value of T, using rng as the source of randomness.

pub fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng, 

Create an iterator that generates random values of T, using rng as the source of randomness.

impl<F: Copy> Copy for LogNormal<F> where
    F: Float,
    StandardNormal: Distribution<F>,