poweRlaw: dist_rand-methods – R documentation

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dist_rand-methods

Random number generation for the distribution objects

Description

This is generic function for generating random numbers from the underlying distribution of the distribution reference objects. This function generates n random numbers using the parameters and xmin values found in the associated reference object.

Usage

dist_rand(m, n)

## S4 method for signature 'conlnorm'
dist_rand(m, n = "numeric")

## S4 method for signature 'conexp'
dist_rand(m, n = "numeric")

## S4 method for signature 'conpl'
dist_rand(m, n = "numeric")

## S4 method for signature 'conweibull'
dist_rand(m, n = "numeric")

## S4 method for signature 'disexp'
dist_rand(m, n = "numeric")

## S4 method for signature 'dislnorm'
dist_rand(m, n = "numeric")

## S4 method for signature 'displ'
dist_rand(m, n = "numeric")

## S4 method for signature 'dispois'
dist_rand(m, n = "numeric")

Arguments

`m`	a distribution object.
`n`	number of observations to be generated.

Value

n random numbers

Note

This method does *not* alter the internal state of the distribution object.

Examples

##########################################
#Create distribution object              #
##########################################
m = displ$new()
m$setXmin(7);m$setPars(2)

##########################################
#Generate five random numbers            #
##########################################
dist_rand(m, 5)

poweRlaw

Analysis of Heavy Tailed Distributions

v0.70.6

GPL-2 | GPL-3

Authors

Colin Gillespie [aut, cre] (<https://orcid.org/0000-0003-1787-0275>)

Initial release