# Struct rand_distr::LogNormal

``pub struct LogNormal<F> where    F: Float,    StandardNormal: Distribution<F>, { /* private fields */ }``
Expand description

The log-normal distribution `ln N(mean, std_dev**2)`.

If `X` is log-normal distributed, then `ln(X)` is `N(mean, std_dev**2)` distributed.

## Example

``````use rand_distr::{LogNormal, Distribution};

// mean 2, standard deviation 3
let log_normal = LogNormal::new(2.0, 3.0).unwrap();
println!("{} is from an ln N(2, 9) distribution", v)``````

## Implementations

Construct, from (log-space) mean and standard deviation

Parameters are the “standard” log-space measures (these are the mean and standard deviation of the logarithm of samples):

• `mu` (`μ`, unrestricted) is the mean of the underlying distribution
• `sigma` (`σ`, must be finite) is the standard deviation of the underlying Normal distribution

Construct, from (linear-space) mean and coefficient of variation

Parameters are linear-space measures:

• mean (`μ > 0`) is the (real) mean of the distribution
• coefficient of variation (`cv = σ / μ`, requiring `cv ≥ 0`) is a standardized measure of dispersion

As a special exception, `μ = 0, cv = 0` is allowed (samples are `-inf`).

Sample from a z-score

This may be useful for generating correlated samples `x1` and `x2` from two different distributions, as follows.

``````let mut rng = thread_rng();
let z = StandardNormal.sample(&mut rng);
let x1 = LogNormal::from_mean_cv(3.0, 1.0).unwrap().from_zscore(z);
let x2 = LogNormal::from_mean_cv(2.0, 4.0).unwrap().from_zscore(z);``````

## Trait Implementations

Returns a copy of the value. Read more

Performs copy-assignment from `source`. 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

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

This method tests for `!=`.

## 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

Returns the argument unchanged.

Calls `U::from(self)`.

That is, this conversion is whatever the implementation of `From<T> for U` chooses to do.

The resulting type after obtaining ownership.

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

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.