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 `probs`

### Value

an integer matrix having `m` columns

### See Also

`rbinom`

### 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 3.17-4 Index]