Struct rand::distributions::LogNormal  [−][src]
pub struct LogNormal { /* 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::distributions::{LogNormal, IndependentSample}; // mean 2, standard deviation 3 let log_normal = LogNormal::new(2.0, 3.0); let v = log_normal.ind_sample(&mut rand::thread_rng()); println!("{} is from an ln N(2, 9) distribution", v)
Methods
impl LogNormal[src] 
impl LogNormalpub fn new(mean: f64, std_dev: f64) -> LogNormal[src] 
pub fn new(mean: f64, std_dev: f64) -> LogNormalConstruct a new LogNormal distribution with the given mean
and standard deviation.
Panics
Panics if std_dev < 0.
Trait Implementations
impl IndependentSample<f64> for LogNormal[src] 
impl IndependentSample<f64> for LogNormalfn ind_sample<R>(&self, rng: &mut R) -> f64 where
    R: Rng, [src] 
fn ind_sample<R>(&self, rng: &mut R) -> f64 where
    R: Rng, Generate a random value.
impl Copy for LogNormal[src] 
impl Copy for LogNormalimpl Clone for LogNormal[src] 
impl Clone for LogNormalfn clone(&self) -> LogNormal[src] 
fn clone(&self) -> LogNormalReturns a copy of the value. Read more
fn clone_from(&mut self, source: &Self)1.0.0[src] 
fn clone_from(&mut self, source: &Self)1.0.0
[src]Performs copy-assignment from source. Read more
impl Sample<f64> for LogNormal[src] 
impl Sample<f64> for LogNormalfn sample<R>(&mut self, rng: &mut R) -> f64 where
    R: Rng, [src] 
fn sample<R>(&mut self, rng: &mut R) -> f64 where
    R: Rng, Generate a random value of Support, using rng as the source of randomness. Read more
impl Debug for LogNormal[src] 
impl Debug for LogNormal