relations (version 0.5-5)

plot: Visualize Relations

Description

Visualize certain crisp endorelations by plotting a Hasse Diagram of their transitive reduction.

Usage

## S3 method for class 'relation':
plot(x,
     attrs = list(graph = list(rankdir = "BT"),
                  edge = list(arrowsize = "0"),
                  node = list(shape = "rectangle",
                              fixedsize = FALSE)),
     limit = 6L,
     labels = NULL,
     main = NULL,
     ...)
## S3 method for class 'relation_ensemble':
plot(x,
     attrs = list(list(graph = list(rankdir = "BT"),
                       edge = list(arrowsize = "0"),
                        node = list(shape = "rectangle",
                                    fixedsize = FALSE))),
     ..., layout = NULL, main = NULL)

Arguments

x

an Robject inheriting from class relation .

attrs

argument passed to the plot method for class graphNEL. For the relation_ensemble method, it is a list of such objects, recycled as needed.

limit

Argument passed to the labeling function creating default labels for the nodes (see LABELS).

labels

Optional list of character vectors defining unique labels for the nodes.

layout

integer vector of length 2 specifying the number of rows and columns of the screen layout. If NULL, the layout is square.

...

Other arguments passed to the graphNEL plot method.

main

character vector used for the main title(s). If NULL, the title(s) is (are) set to the type of the visualized relation(s).

Details

Visualizationrequires that package Rgraphviz is available. For partial orders, a Hasse diagram is plotted. In case of transitive complete relations (weak orders, preferences), the dual is plotted. For all other relations, the asymmetric part is plotted. Note that the default settings create a diagram with nodes ordered bottom-up and with no arrows.

See Also

relation

Examples

if(require("Rgraphviz")) {
  ## simple example
  plot(as.relation(1 : 5))

  ## inclusion on a power set:
  ps <- 2 ^ set("a", "b", "c")
  inc <- set_outer(ps, set_is_subset)
  plot(relation(incidence = inc))
}