dist_rand-methods: Random number generation for the distribution objects

In poweRlaw: Analysis of Heavy Tailed Distributions

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.

See Also

dist_cdf(), dist_pdf() and dist_ll()

Examples

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

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

poweRlaw documentation built on May 29, 2024, 10:01 a.m.