dist_rand-methods: Random number generation for the distribution objects

In csgillespie/poweRlaw: Analysis of Heavy Tailed Distributions

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)

csgillespie/poweRlaw documentation built on May 23, 2020, 12:16 p.m.