| order {cba} | R Documentation |
High-level functions that improve the presentation of a matrix or data frame by reordering their rows and columns.
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 dist, matrix, or
data.frame. |
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
dist, stress, stress.dist.
## not a hard problem data(iris) d <- dist(iris[1:4]) image(order.dist(d)) data(townships) x <- order.data.frame(townships) x