# rMultinom

From Hmisc v4.3-1
by Frank E Harrell Jr

##### 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

##### See Also

##### 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 4.3-1, License: GPL (>= 2)*

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