Marking networks classes

Source: R/mark_classes.R

These functions implement logical tests for networks' classes.

  • is_manynet() marks a network TRUE if it is compatible with {manynet} functions.

  • is_edgelist() marks a network TRUE if it is an edgelist.

  • is_graph() marks a network TRUE if it contains graph-level information.

  • is_list() marks a network TRUE if it is a (non-igraph) list of networks, for example a set of ego networks or a dynamic or longitudinal set of networks.

  • is_longitudinal() marks a network TRUE if it contains longitudinal, panel data.

  • is_dynamic() marks a network TRUE if it contains dynamic, time-stamped data.

  • is_changing() marks a network TRUE if it contains changes to nodal attributes.

All is_*() functions return a logical scalar (TRUE or FALSE).

is_manynet(.data)

is_graph(.data)

is_edgelist(.data)

is_list(.data)

Arguments

.data

An object of a {manynet}-consistent class:

  • matrix (adjacency or incidence) from {base} R

  • edgelist, a data frame from {base} R or tibble from {tibble}

  • igraph, from the {igraph} package

  • network, from the {network} package

  • tbl_graph, from the {tidygraph} package

Value

TRUE if the condition is met, or FALSE otherwise.

See also

Other marking: mark_features

Examples

is_manynet(create_filled(2))
#> [1] TRUE
is_graph(create_star(2))
#> [1] TRUE
is_edgelist(matrix(c(2,2), 1, 2))
#> [1] FALSE
is_edgelist(as_edgelist(matrix(c(2,2), 1, 2)))
#> [1] TRUE