orderClu {blockmodeling} | R Documentation |

## Orders the partition so that mean values of `fun`

applied to columns (if `funWay=2`

, default), rows (if `funWay=1`

) or both (if `funWay=c(1,2)`

) is decreasing by clusters.

### Description

Orders the partition so that mean values of `fun`

applied to columns (if `funWay=2`

, default), rows (if `funWay=1`

) or both (if `funWay=c(1,2)`

) is decreasing by clusters. The function can be used on the results of `critFunC`

, `optRandomParC`

or similar, or matrix and a partition can be supplied. It should also work on multirelational and lined networks.

### Usage

```
orderClu(
x,
clu = NULL,
fun = sum,
funWay = 2,
nn = NULL,
returnList = TRUE,
scale = TRUE
)
```

### Arguments

`x` |
A result of |

`clu` |
A partition - a vector or a list of vectors/partitions. It must be supplied only if |

`fun` |
A function used to summarize rows or columns. |

`funWay` |
In which "way" should |

`nn` |
The numbers of untis by sets of units. In principle, the function should determin this automatically. |

`returnList` |
Logical. Should the partition be returned in form of a list (for lined networks only). |

`scale` |
Only used in case of multirelational networks. Should relations be scaled ( |

### Value

An ordered partition. In an attribute ("reorder"). the information on how things were reordered.

### See Also

*blockmodeling*version 1.1.5 Index]