manip_deformat {manynet}R Documentation

Modifying network formats by removing information

Description

These functions reformat manynet-consistent data.

If the format condition is not met, for example to_undirected() is used on a network that is already undirected, the network data is returned unaltered. No warning is given so that these functions can be used to ensure conformance.

Unlike the ⁠as_*()⁠ group of functions, these functions always return the same class as they are given, only transforming these objects' properties.

Usage

to_unnamed(.data)

to_undirected(.data)

to_unweighted(.data, threshold = 1)

to_unsigned(.data, keep = c("positive", "negative"))

to_simplex(.data)

to_uniplex(.data, tie)

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

threshold

For a matrix, the threshold to binarise/dichotomise at.

keep

In the case of a signed network, whether to retain the "positive" or "negative" ties.

tie

Character string naming a tie attribute to retain from a graph.

Details

Not all functions have methods available for all object classes. Below are the currently implemented S3 methods:

data.frame igraph matrix network tbl_graph
to_simplex 1 1 1 1 1
to_undirected 1 1 1 1 1
to_uniplex 1 1 1 1 1
to_unnamed 1 1 1 1 1
to_unsigned 1 1 1 1 1
to_unweighted 1 1 1 1 1

Value

All to_ functions return an object of the same class as that provided. So passing it an igraph object will return an igraph object and passing it a network object will return a network object, with certain modifications as outlined for each function.

See Also

Other modifications: manip_as, manip_correlation, manip_from, manip_levels, manip_miss, manip_nodes, manip_paths, manip_permutation, manip_preformat, manip_project, manip_reformat, manip_scope, manip_split, manip_ties

Examples

as_tidygraph(create_filled(5)) %>%
  mutate_ties(type = sample(c("friend", "enemy"), 10, replace = TRUE)) %>%
  to_uniplex("friend")

[Package manynet version 1.5.1 Index]