| rMultinom {Hmisc} | R Documentation |
Generate Multinomial Random Variables with Varying Probabilities
Description
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.
Usage
rMultinom(probs, m)
Arguments
probs |
matrix of probabilities |
m |
number of samples for each row of |
Value
an integer matrix having m columns
See Also
Examples
set.seed(1)
w <- rMultinom(rbind(c(.1,.2,.3,.4),c(.4,.3,.2,.1)),200)
t(apply(w, 1, table)/200)
[Package Hmisc version 5.1-3 Index]