# rMultinom

0th

Percentile

##### Generate Multinomial Random Variables with Varying Probabilities

Given a matrix of multinomial probabilities where rows correspond to observations and columns to categories (and each row sums to 1), generates a matrix with the same number of rows as has probs and with m columns. The columns represent multinomial cell numbers, and within a row the columns are all samples from the same multinomial distribution. The code is a modification of that in the impute.polyreg function in the MICE package.

Keywords
distribution
##### Usage
rMultinom(probs, m)
##### Arguments
probs

matrix of probabilities

m

number of samples for each row of probs

##### Value

an integer matrix having m columns

rbinom

• rMultinom
##### Examples
# NOT RUN {
set.seed(1)
w <- rMultinom(rbind(c(.1,.2,.3,.4),c(.4,.3,.2,.1)),200)
t(apply(w, 1, table)/200)
# }

Documentation reproduced from package Hmisc, version 4.3-0, License: GPL (>= 2)

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