Description Usage Arguments Details Value Note Author(s) See Also Examples

High-level functions that improve the presentation of a matrix or data frame by reordering their rows and columns.

1 2 3 4 5 | ```
order.dist(x, index = FALSE)
order.matrix(x, type = "neumann", by = c("both","rows","cols"),
index = FALSE)
order.data.frame(x, type = "neumann", by = c("both","rows","cols"),
index = FALSE)
``` |

`x` |
an object of class |

`type` |
the type of stress measure to use (see details). |

`by` |
option to order either by rows, or columns, or both. |

`index` |
option to return the order index(ex) instead of the reordered object. |

These functions try to improve the presentation of an object of class
`dist`

, `matrix`

, or`data.frame`

by reordering the rows
and columns such that similar entries are grouped together.

`order.dist`

uses a simple heuristic to solve the TSP problem of
finding an ordering of minimum length (see `order.length`

) for an
object of class `dist`

. Note that the heuristic used is quick but
more elaborate TSP algorithms will produce better orderings.

`order.matrix`

tries to minimize the stress measure of a matrix
(see `stress`

by using the same TSP heuristic as above, once for
the column and once for the row ordering (while the other dimension is
fixed) if `by = "both"`

.

`order.data.frame`

uses attributes of type `numeric`

and `logical`

only, combines them into a normalized matrix and
finds an ordering as above.

Either the reordered object supplied, or a vector of subscripts (for
`reorder.dist`

), or a list with components `rows`

and
`columns`

containing the order indexes (for `reorder.matrix`

and `reorder.data.frame`

).

This is experimental code that may be integrated in a separate packages in the future.

Christian Buchta

1 2 3 4 5 6 7 | ```
## not a hard problem
data(iris)
d <- dist(iris[1:4])
implot(order.dist(d))
data(townships)
x <- order.data.frame(townships)
x
``` |

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