Struct rand_distr::FisherF 
source · pub struct FisherF<F>{ /* private fields */ }Expand description
The Fisher F distribution F(m, n).
This distribution is equivalent to the ratio of two normalised
chi-squared distributions, that is, F(m,n) = (χ²(m)/m) / (χ²(n)/n).
§Example
use rand_distr::{FisherF, Distribution};
let f = FisherF::new(2.0, 32.0).unwrap();
let v = f.sample(&mut rand::thread_rng());
println!("{} is from an F(2, 32) distribution", v)Implementations§
Trait Implementations§
source§impl<F> Clone for FisherF<F>where
    F: Float + Clone,
    StandardNormal: Distribution<F>,
    Exp1: Distribution<F>,
    Open01: Distribution<F>,
 
impl<F> Clone for FisherF<F>where
    F: Float + Clone,
    StandardNormal: Distribution<F>,
    Exp1: Distribution<F>,
    Open01: Distribution<F>,
source§impl<F> Debug for FisherF<F>where
    F: Float + Debug,
    StandardNormal: Distribution<F>,
    Exp1: Distribution<F>,
    Open01: Distribution<F>,
 
impl<F> Debug for FisherF<F>where
    F: Float + Debug,
    StandardNormal: Distribution<F>,
    Exp1: Distribution<F>,
    Open01: Distribution<F>,
source§impl<F> Distribution<F> for FisherF<F>
 
impl<F> Distribution<F> for FisherF<F>
impl<F> Copy for FisherF<F>where
    F: Float + Copy,
    StandardNormal: Distribution<F>,
    Exp1: Distribution<F>,
    Open01: Distribution<F>,
Auto Trait Implementations§
impl<F> Freeze for FisherF<F>where
    F: Freeze,
impl<F> RefUnwindSafe for FisherF<F>where
    F: RefUnwindSafe,
impl<F> Send for FisherF<F>where
    F: Send,
impl<F> Sync for FisherF<F>where
    F: Sync,
impl<F> Unpin for FisherF<F>where
    F: Unpin,
impl<F> UnwindSafe for FisherF<F>where
    F: UnwindSafe,
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
    T: ?Sized,
 
impl<T> BorrowMut<T> for Twhere
    T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
 
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more