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]