# Simulated data for group formation problem

## Usage

stabsim(m, ind, seed = 123, singles = NULL, gpm = 2)

## Arguments

m
integer indicating the number of markets to be simulated.
ind
integer (or vector) indicating the number of individuals per group.
seed
integer setting the state for random number generation. Defaults to set.seed(123).
singles
integer giving the number of one-group markets.
gpm
integer giving the number of groups per market.

## Value

stabsim returns a data frame with the randomly generated variables mimicking those in dataset baac00.
m.id
categorical: market identifier.

g.id
categorical: group identifier.

wst
binary: indicator taking the value 1 if last year was worse than the year before; 0 otherwise.

R
NA: group outcome is not simulated. It can be obtained using the simulation argument in function stabit.

## Description

Simulate individual-level data for one-sided matching markets.

## Examples

## Coalitions [gpm := 2 !]
## Simulate one-sided matching data for 4 markets (m=4) with 2 groups
## per market (gpm=2) and 2 to 4 individuals per group (ind=2:4)
idata <- stabsim(m=4, ind=2:4, seed=124, singles=2, gpm=2)

## Rommmates [ind := 2 !]
## Simulate one-sided matching data for 3 markets (m=3) with 3 groups
## per market (gpm=3) and 2 individuals per group (ind=2)
idata <- stabsim(m=3, ind=2, seed=124, gpm=3)