[−][src]Struct statrs::distribution::DiscreteUniform
Implements the Discrete Uniform distribution
Examples
use statrs::distribution::{DiscreteUniform, Discrete}; use statrs::statistics::Mean; let n = DiscreteUniform::new(0, 5).unwrap(); assert_eq!(n.mean(), 2.5); assert_eq!(n.pmf(3), 1.0 / 6.0);
Methods
impl DiscreteUniform
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pub fn new(min: i64, max: i64) -> Result<DiscreteUniform>
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Constructs a new discrete uniform distribution with a minimum value
of min
and a maximum value of max
.
Errors
Returns an error if max < min
Examples
use statrs::distribution::DiscreteUniform; let mut result = DiscreteUniform::new(0, 5); assert!(result.is_ok()); result = DiscreteUniform::new(5, 0); assert!(result.is_err());
Trait Implementations
impl Univariate<i64, f64> for DiscreteUniform
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fn cdf(&self, x: f64) -> f64
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Calculates the cumulative distribution function for the
discrete uniform distribution at x
Formula
(floor(x) - min + 1) / (max - min + 1)
impl Discrete<i64, f64> for DiscreteUniform
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fn pmf(&self, x: i64) -> f64
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Calculates the probability mass function for the discrete uniform
distribution at x
Remarks
Returns 0.0
if x
is not in [min, max]
Formula
1 / (max - min + 1)
fn ln_pmf(&self, x: i64) -> f64
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impl Min<i64> for DiscreteUniform
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fn min(&self) -> i64
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Returns the minimum value in the domain of the discrete uniform distribution
Remarks
This is the same value as the minimum passed into the constructor
impl Max<i64> for DiscreteUniform
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fn max(&self) -> i64
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Returns the maximum value in the domain of the discrete uniform distribution
Remarks
This is the same value as the maximum passed into the constructor
impl Mean<f64> for DiscreteUniform
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fn mean(&self) -> f64
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Returns the mean of the discrete uniform distribution
Formula
(min + max) / 2
impl Variance<f64> for DiscreteUniform
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fn variance(&self) -> f64
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Returns the variance of the discrete uniform distribution
Formula
((max - min + 1)^2 - 1) / 12
fn std_dev(&self) -> f64
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Returns the standard deviation of the discrete uniform distribution
Formula
sqrt(((max - min + 1)^2 - 1) / 12)
impl Entropy<f64> for DiscreteUniform
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fn entropy(&self) -> f64
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Returns the entropy of the discrete uniform distribution
Formula
ln(max - min + 1)
impl Skewness<f64> for DiscreteUniform
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impl Median<f64> for DiscreteUniform
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fn median(&self) -> f64
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Returns the median of the discrete uniform distribution
Formula
(max + min) / 2
impl Mode<i64> for DiscreteUniform
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impl Copy for DiscreteUniform
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impl Clone for DiscreteUniform
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fn clone(&self) -> DiscreteUniform
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fn clone_from(&mut self, source: &Self)
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Performs copy-assignment from source
. Read more
impl PartialEq<DiscreteUniform> for DiscreteUniform
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fn eq(&self, other: &DiscreteUniform) -> bool
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fn ne(&self, other: &DiscreteUniform) -> bool
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impl Debug for DiscreteUniform
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impl Distribution<f64> for DiscreteUniform
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Auto Trait Implementations
impl Send for DiscreteUniform
impl Sync for DiscreteUniform
Blanket Implementations
impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T> From<T> for T
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impl<T> ToOwned for T where
T: Clone,
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T: Clone,
type Owned = T
The resulting type after obtaining ownership.
fn to_owned(&self) -> T
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fn clone_into(&self, target: &mut T)
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impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,
type Error = <U as TryFrom<T>>::Error
The type returned in the event of a conversion error.
fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>
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impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
fn borrow_mut(&mut self) -> &mut T
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impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,