.classify_distribution

Based on a series of statistical tests, uses bootstrapping to classify
observed data into one of the following distributions: Binary, Uniform,
Normal, Lognormal, Weibull, Pareto, Exponential and Power.

internal

Provides an implementation of piecewise normalisation techniques useful when dealing with the communication of skewed and highly skewed data. It also provides utilities that recommends a normalisation technique based on the distribution of the data.

David Hammond

piecenorms

Calculate a Piecewise Normalised Score Using Class Intervals

.classify_distribution function

<dl><dt>x</dt>
<dd>A numeric vector of observations</dd></dl>

Arguments

Classified observed data into a distribution class. — .classify_distribution

<dl>

<dt>x</dt>
<dd>A numeric vector of observations</dd>

</dl>

.classify_distribution: Classified observed data into a distribution class.

Description

Usage

Value

Arguments