rTableICC (version 1.0.9)

rDiscrete: Generate a Random Data from Discrete Probability Function

Description

Generates random data from a given empirical probability function. It also returns cumulative distribution function corresponding to the entered probability function.

Usage

rDiscrete(n = 1, pf)

Value

A list including

rdiscrete

an \(nx1\) vector that gives generated random data.

cdf

a vector including cumulative distribution function.

Arguments

n

number of observations.

pf

empirical probability function.

Author

Haydar Demirhan

Maintainer: Haydar Demirhan <[e-mail]>

Details

pf is an array of any dimensionality with all elements sum up to one. If its dimension is greater than one, it is transformed to a row vector column-by-column.

References

Kroese D.P., Taimre T., Botev Z.I. (2011) Handbook of Monte Carlo Methods, Wiley, New York.

Examples

p = c(0.23,0.11,0.05,0.03,0.31,0.03,0.22,0.02)
rDiscrete(n=2,pf=p)

# pf would be entered as a matrix:

p = matrix(c(0.23,0.11,0.05,0.03,0.31,0.03,0.22,0.02), nrow=2, ncol=4, byrow = TRUE) 
rDiscrete(n=2,pf=p)

p = matrix(c(0.23,0.11,0.05,0.03,0.31,0.03,0.22,0.02), nrow=4, ncol=2, byrow = TRUE) 
rDiscrete(n=2,pf=p)

# or pf would be entered as a three dimensional array:

p = array(c(0.23,0.11,0.05,0.03,0.31,0.03,0.22,0.02), dim=c(2,2,2))
rDiscrete(n=2,pf=p)