Plotting methods for visualizing matches

Two functions are provided, match_plot_igraph which makes a ball and stick plot from igraph objects and match_plot_matrix which shows an adjacency matrix plot.

Usage

# S4 method for igraph,igraph
plot(x, y, match = NULL, color = TRUE, linetype = TRUE, ...)

# S4 method for Matrix,Matrix
plot(x, y, match = NULL, col.regions = NULL, at = NULL, colorkey = NULL, ...)

Arguments

x

First graph, either an igraph object or a Matrix

y

second graph, either an igraph object or a Matrix

match

result from a match call. Requires element corr as a data.frame with names corr_A, corr_B.

color

Whether to color edges according to which graph(s) they are in.

linetype

Whether to set edge line types according to which graph(s) they are in.

...

additional parameters passed to either the igraph plot function or the Matrix image function.

col.regions

NULL for default colors, otherwise see image-methods

at

NULL for default at values for at (ensures zero is grey), otherwise see image-methods

colorkey

NULL for default colorkey, otherwise see image-methods

Value

Both functions return values invisibly. match_plot_igraph returns the union of the matched graphs as an igraph object with additional edge attributes edge_match, color, lty.

match_plot_matrix returns the difference between the matched graphs.

Details

Grey edges/pixels indicate common edges, blue indicates edges only in graph A and red represents edges only graph B. The corresponding linetypes are solid, long dash, and short dash.

The plots can be recreated from the output with the code
plot(g)
for g <- match_plot_igraph(...) and
col <- colorRampPalette(c("#AA4444", "#888888", "#44AA44"))
image(m, col.regions = col(256))
for m <- match_plot_match(...).

This only plots and returns the matched vertices.

Examples

set.seed(123)
graphs <- sample_correlated_gnp_pair(20, .9, .3)
A <- graphs$graph1
B <- graphs$graph2
res <- gm(A, B, 1:4, method = "percolation")

plot(A, B, res)

plot(A[], B[], res)