ahp.ri {ahpsurvey} | R Documentation |

## Generate random indices

### Description

The `ahp.ri`

function calculates the mean consistency indices of a specific numbers of random number pairwise comparison matrices.

The random index of one pairwise comparison matrix is given as below, where `lambda`

is the maximum eigenvalue and `n`

is the number of attributes.

`RI = (\lambda-n)/((n-1)`

`ahp.ri`

creates `nsims`

number of pairwise comparison matrices with number of dimensions=`dim`

, and returns its average.

### Usage

```
ahp.ri(nsims, dim, seed = 42)
```

### Arguments

`nsims` |
Number of random pairwise comparison matrices to be generated. Processing time increases substantially with higher |

`dim` |
Number of dimensions of the matrix. |

`seed` |
The random number generator seed for reproducibility, which is same as |

### Value

The generated random index, which is numeric.

### Author(s)

Frankie Cho

### Examples

```
ahp.ri(nsims = 10000, dim = 5, seed = 42)
```

[Package

*ahpsurvey*version 0.4.1 Index]