PottsUtils (version 0.2-1)

rMultimon: Generate Random Samples from Different Multinomial Distributions with the Same Number of Classes

Description

Generate random samples from multinomial distributions with different classes probabilities.

Usage

rMultinom(p)

Arguments

p

matrix with each row specifying the probabilities for k classes of each sample.

Value

• Random samples from multinomial distributions.

Details

This function victories the generation of random samples from different multinomial distributions by the inversion of CDF method.

See Also

rmultinom

Examples

#Example 1: Generate 100000 random samples from multinomial distribution
  #           with 3 classes all having the same probabilities.
  x <- rMultinom(p=matrix(1/3, nrow=100000, ncol=3))
  hist(x)