dist {coda.base} | R Documentation |

## Distance Matrix Computation (including Aitchison distance)

### Description

This function overwrites `dist`

function to contain Aitchison distance between
compositions.

### Usage

```
dist(x, method = "euclidean", ...)
```

### Arguments

`x` |
compositions method |

`method` |
the distance measure to be used. This must be one of "aitchison", "euclidean", "maximum", "manhattan", "canberra", "binary" or "minkowski". Any unambiguous substring can be given. |

`...` |
arguments passed to |

### Value

`dist`

returns an object of class "dist".

### See Also

See functions `dist`

.

### Examples

```
X = exp(matrix(rnorm(10*50), ncol=50, nrow=10))
(d <- dist(X, method = 'aitchison'))
plot(hclust(d))
# In contrast to Euclidean distance
dist(rbind(c(1,1,1), c(100, 100, 100)), method = 'euc') # method = 'euclidean'
# using Aitchison distance, only relative information is of importance
dist(rbind(c(1,1,1), c(100, 100, 100)), method = 'ait') # method = 'aitchison'
```

[Package

*coda.base*version 0.5.5 Index]