diss {amap} | R Documentation |

## Compute a dissimilarity matrix

### Description

Compute a dissimilarity matrix from a data set (containing only factors).

### Usage

```
diss(x, w=rep(1,ncol(x)) )
```

### Arguments

`x` |
A matrix or data frame containing only factors. |

`w` |
A vector of weight, by default each variable has got same weight |

### Details

Case of N individuals described by P categorical variables: each element (i,j) of the signed similarities array is computed by sommation over the P variables of the contributions of each variable, multiplied by the weight of the variable. The contribution of a given categorical variable is +1 if the individual i and j are in the same class, and is -1 if they are not.

### Value

A dissimilarity matrix.

### Author(s)

Antoine Lucas

### See Also

### Examples

```
data <-
matrix(c(1,1,1,1,1
,1,2,1,2,1
,2,3,2,3,2
,2,4,3,3,2
,1,2,4,2,1
,2,3,2,3,1),ncol=5,byrow=TRUE)
diss(data)
## With weights
diss(data,w=c(1,1,2,2,3))
```

[Package

*amap*version 0.8-19 Index]