## Generates crime groups from crime series data

### Description

This function generates crime groups that are useful for making unlinked pairs and for agglomerative linkage.

### Usage

makeGroups(X, method = 1)


### Arguments

 X crime series data (generated from makeSeriesData) with offender ID (offenderID), crime ID (crimeID), and the event datetime (TIME) method Method=1 (default) forms groups by finding the maximal connected offender subgraph. Method=2 forms groups from the unique group of co-offenders. Method=3 forms from groups from offenderIDs

### Details

Method=1 forms groups by finding the maximal connected offender subgraph. So if two offenders have ever co-offended, then all of their crimes are assigned to the same group. Method=2 forms groups from the unique group of co-offenders. So for two offenders who co-offended, all the co-offending crimes are in one group and any crimes committed individually or with other offenders are assigned to another group. Method=3 forms groups from the offender(s) responsible. So a crime that is committed by multiple people will be assigned to multiple groups.

### Value

vector of crime group labels

### Examples

data(crimes)
data(offenders)
seriesData = makeSeriesData(crimedata=crimes,offenderTable=offenders)
groups = makeGroups(seriesData,method=1)