coerce a netify object to a plain matrix

strips the netify class and netify-specific attributes so the result is a clean numeric matrix carrying only dim and dimnames. for longitudinal netify objects, time selects which slice to return; it defaults to the first time period and emits a hint. round-trips (net |> as.matrix() |> netify()) recover a fresh cross-sectional netify object, but structural attributes (symmetric / diag_to_NA / weight) are re-detected from the matrix on the way back in rather than copied across, so a directed matrix or one with a non-na diagonal will be flagged accordingly.

Usage

# S3 method for class 'netify'
as.matrix(x, time = NULL, layer = NULL, ...)

Arguments

x

a netify object.

time

for longitudinal netify objects, either the integer index or character label of the time slice to extract. defaults to the first slice and emits a hint when used implicitly.

layer

for multilayer netify objects, either the integer index or character label of the layer to extract. defaults to the first layer and emits a hint when used implicitly.

...

additional args (ignored).

Value

a plain numeric matrix with dim and dimnames only (no netify class, no netify metadata attributes).

See also

get_adjacency for the data.frame-input counterpart that also accepts a netify object; netify for rebuilding a netify object from a plain matrix.

Author

cassy dorff, shahryar minhas

Examples

data(icews)
icews_2010 <- icews[icews$year == 2010, ]
net <- netify(icews_2010, actor1 = "i", actor2 = "j",
    symmetric = FALSE, weight = "verbCoop")
m <- as.matrix(net)
dim(m)
#> [1] 152 152
class(m)
#> [1] "matrix" "array"