Struct rand::distributions::normal::LogNormal
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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
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impl LogNormal
pub fn new(mean: f64, std_dev: f64) -> LogNormal
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pub fn new(mean: f64, std_dev: f64) -> LogNormal
Construct a new LogNormal
distribution with the given mean
and standard deviation.
Panics
Panics if std_dev < 0
.
Trait Implementations
impl Copy for LogNormal
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impl Copy for LogNormal
impl Clone for LogNormal
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impl Clone for LogNormal
fn clone(&self) -> LogNormal
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fn clone(&self) -> LogNormal
Returns 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 IndependentSample<f64> for LogNormal
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impl IndependentSample<f64> for LogNormal
fn ind_sample<R>(&self, rng: &mut R) -> f64 where
R: Rng,
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fn ind_sample<R>(&self, rng: &mut R) -> f64 where
R: Rng,
Generate a random value.
impl Debug for LogNormal
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impl Debug for LogNormal
fn fmt(&self, __arg_0: &mut Formatter) -> Result<(), Error>
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fn fmt(&self, __arg_0: &mut Formatter) -> Result<(), Error>
Formats the value using the given formatter. Read more
impl Sample<f64> for LogNormal
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impl Sample<f64> for LogNormal