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.
rMultinom(probs, m)
probs |
matrix of probabilities |
m |
number of samples for each row of |
an integer matrix having m columns
set.seed(1) w <- rMultinom(rbind(c(.1,.2,.3,.4),c(.4,.3,.2,.1)),200) t(apply(w, 1, table)/200)
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