Struct rand::distributions::Normal [−][src]
pub struct Normal { /* fields omitted */ }
The normal distribution N(mean, std_dev**2)
.
This uses the ZIGNOR variant of the Ziggurat method, see StandardNormal
for more details.
Example
use rand::distributions::{Normal, Distribution}; // mean 2, standard deviation 3 let normal = Normal::new(2.0, 3.0); let v = normal.sample(&mut rand::thread_rng()); println!("{} is from a N(2, 9) distribution", v)
Methods
impl Normal
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impl Normal
pub fn new(mean: f64, std_dev: f64) -> Normal
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pub fn new(mean: f64, std_dev: f64) -> Normal
Construct a new Normal
distribution with the given mean and
standard deviation.
Panics
Panics if std_dev < 0
.
Trait Implementations
impl Clone for Normal
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impl Clone for Normal
fn clone(&self) -> Normal
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fn clone(&self) -> Normal
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 Copy for Normal
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impl Copy for Normal
impl Debug for Normal
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impl Debug for Normal
fn fmt(&self, f: &mut Formatter) -> Result
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fn fmt(&self, f: &mut Formatter) -> Result
Formats the value using the given formatter. Read more
impl Distribution<f64> for Normal
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impl Distribution<f64> for Normal
fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> f64
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fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> f64
Generate a random value of T
, using rng
as the source of randomness.
ⓘImportant traits for DistIter<'a, D, R, T>fn sample_iter<'a, R>(&'a self, rng: &'a mut R) -> DistIter<'a, Self, R, T> where
Self: Sized,
R: Rng,
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ⓘImportant traits for DistIter<'a, D, R, T>
fn sample_iter<'a, R>(&'a self, rng: &'a mut R) -> DistIter<'a, Self, R, T> where
Self: Sized,
R: Rng,
Create an iterator that generates random values of T
, using rng
as the source of randomness. Read more
impl Sample<f64> for Normal
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impl Sample<f64> for Normal
fn sample<R: Rng>(&mut self, rng: &mut R) -> f64
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fn sample<R: Rng>(&mut self, rng: &mut R) -> f64
Deprecated since 0.5.0
: use Distribution instead
Generate a random value of Support
, using rng
as the source of randomness. Read more
impl IndependentSample<f64> for Normal
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impl IndependentSample<f64> for Normal
fn ind_sample<R: Rng>(&self, rng: &mut R) -> f64
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fn ind_sample<R: Rng>(&self, rng: &mut R) -> f64
Deprecated since 0.5.0
: use Distribution instead
Generate a random value.