Struct rand_distr::StudentT
source · [−]pub struct StudentT<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>, { /* private fields */ }
Expand description
The Student t distribution, t(nu)
, where nu
is the degrees of
freedom.
Example
use rand_distr::{StudentT, Distribution};
let t = StudentT::new(11.0).unwrap();
let v = t.sample(&mut rand::thread_rng());
println!("{} is from a t(11) distribution", v)
Implementations
sourceimpl<F> StudentT<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>,
impl<F> StudentT<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>,
sourcepub fn new(n: F) -> Result<StudentT<F>, ChiSquaredError>
pub fn new(n: F) -> Result<StudentT<F>, ChiSquaredError>
Create a new Student t distribution with n
degrees of
freedom.
Trait Implementations
sourceimpl<F: Clone> Clone for StudentT<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>,
impl<F: Clone> Clone for StudentT<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>,
sourceimpl<F: Debug> Debug for StudentT<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>,
impl<F: Debug> Debug for StudentT<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>,
sourceimpl<F> Distribution<F> for StudentT<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>,
impl<F> Distribution<F> for StudentT<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>,
sourcefn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> F
fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> F
Generate a random value of T
, using rng
as the source of randomness.
sourcefn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable traits for DistIter<D, R, T>impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;
where
R: Rng,
fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable traits for DistIter<D, R, T>impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;
where
R: Rng,
D: Distribution<T>,
R: Rng, type Item = T;
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
impl<F: Copy> Copy for StudentT<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>,
Auto Trait Implementations
impl<F> RefUnwindSafe for StudentT<F> where
F: RefUnwindSafe,
impl<F> Send for StudentT<F> where
F: Send,
impl<F> Sync for StudentT<F> where
F: Sync,
impl<F> Unpin for StudentT<F> where
F: Unpin,
impl<F> UnwindSafe for StudentT<F> where
F: UnwindSafe,
Blanket Implementations
sourceimpl<T> BorrowMut<T> for T where
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
const: unstable · sourcepub fn borrow_mut(&mut self) -> &mut T
pub fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
sourceimpl<T> ToOwned for T where
T: Clone,
impl<T> ToOwned for T where
T: Clone,
type Owned = T
type Owned = T
The resulting type after obtaining ownership.
sourcepub fn to_owned(&self) -> T
pub fn to_owned(&self) -> T
Creates owned data from borrowed data, usually by cloning. Read more
sourcepub fn clone_into(&self, target: &mut T)
pub fn clone_into(&self, target: &mut T)
🔬 This is a nightly-only experimental API. (
toowned_clone_into
)Uses borrowed data to replace owned data, usually by cloning. Read more