Struct statrs::distribution::Triangular

source · [−]
pub struct Triangular { /* private fields */ }
Expand description

Implements the Triangular distribution

Examples

use statrs::distribution::{Triangular, Continuous};
use statrs::statistics::Distribution;

let n = Triangular::new(0.0, 5.0, 2.5).unwrap();
assert_eq!(n.mean().unwrap(), 7.5 / 3.0);
assert_eq!(n.pdf(2.5), 5.0 / 12.5);

Implementations

Constructs a new triangular distribution with a minimum of min, maximum of max, and a mode of mode.

Errors

Returns an error if min, max, or mode are NaN or ±INF. Returns an error if max < mode, mode < min, or max == min.

Examples
use statrs::distribution::Triangular;

let mut result = Triangular::new(0.0, 5.0, 2.5);
assert!(result.is_ok());

result = Triangular::new(2.5, 1.5, 0.0);
assert!(result.is_err());

Trait Implementations

Returns a copy of the value. Read more

Performs copy-assignment from source. Read more

Calculates the probability density function for the triangular distribution at x

Formula
ⓘ
if x < min {
    0
} else if min <= x <= mode {
    2 * (x - min) / ((max - min) * (mode - min))
} else if mode < x <= max {
    2 * (max - x) / ((max - min) * (max - mode))
} else {
    0
}

Calculates the log probability density function for the triangular distribution at x

Formula
ⓘ
ln( if x < min {
    0
} else if min <= x <= mode {
    2 * (x - min) / ((max - min) * (mode - min))
} else if mode < x <= max {
    2 * (max - x) / ((max - min) * (max - mode))
} else {
    0
} )

Calculates the cumulative distribution function for the triangular distribution at x

Formula
ⓘ
if x == min {
    0
} if min < x <= mode {
    (x - min)^2 / ((max - min) * (mode - min))
} else if mode < x < max {
    1 - (max - min)^2 / ((max - min) * (max - mode))
} else {
    1
}

Due to issues with rounding and floating-point accuracy the default implementation may be ill-behaved. Specialized inverse cdfs should be used whenever possible. Performs a binary search on the domain of cdf to obtain an approximation of F^-1(p) := inf { x | F(x) >= p }. Needless to say, performance may may be lacking. Read more

Formats the value using the given formatter. Read more

Generate a random value of T, using rng as the source of randomness.

Create an iterator that generates random values of T, using rng as the source of randomness. Read more

Create a distribution of values of ‘S’ by mapping the output of Self through the closure F Read more

Returns the mean of the triangular distribution

Formula
ⓘ
(min + max + mode) / 3

Returns the variance of the triangular distribution

Formula
ⓘ
(min^2 + max^2 + mode^2 - min * max - min * mode - max * mode) / 18

Returns the entropy of the triangular distribution

Formula
ⓘ
1 / 2 + ln((max - min) / 2)

Returns the skewness of the triangular distribution

Formula
ⓘ
(sqrt(2) * (min + max - 2 * mode) * (2 * min - max - mode) * (min - 2 *
max + mode)) /
( 5 * (min^2 + max^2 + mode^2 - min * max - min * mode - max * mode)^(3
/ 2))

Returns the standard deviation, if it exists. Read more

Returns the maximum value in the domain of the triangular distribution representable by a double precision float

Remarks

The return value is the same max used to construct the distribution

Returns the median of the triangular distribution

Formula
ⓘ
if mode >= (min + max) / 2 {
    min + sqrt((max - min) * (mode - min) / 2)
} else {
    max - sqrt((max - min) * (max - mode) / 2)
}

Returns the minimum value in the domain of the triangular distribution representable by a double precision float

Remarks

The return value is the same min used to construct the distribution

Returns the mode of the triangular distribution

Formula
ⓘ
mode

This method tests for self and other values to be equal, and is used by ==. Read more

This method tests for !=.

Auto Trait Implementations

Blanket Implementations

Gets the TypeId of self. Read more

Immutably borrows from an owned value. Read more

Mutably borrows from an owned value. Read more

Performs the conversion.

Performs the conversion.

Should always be Self

Performance hack: Clone doesn’t get inlined for Copy types in debug mode, so make it inline anyway.

Tests if Self the same as the type T Read more

The inverse inclusion map: attempts to construct self from the equivalent element of its superset. Read more

Checks if self is actually part of its subset T (and can be converted to it).

Use with care! Same as self.to_subset but without any property checks. Always succeeds.

The inclusion map: converts self to the equivalent element of its superset.

The resulting type after obtaining ownership.

Creates owned data from borrowed data, usually by cloning. Read more

🔬 This is a nightly-only experimental API. (toowned_clone_into)

Uses borrowed data to replace owned data, usually by cloning. Read more

The type returned in the event of a conversion error.

Performs the conversion.

The type returned in the event of a conversion error.

Performs the conversion.