over: Helper functions for measuring over splits of networks

In migraph: Multimodal Network Analysis and More

Helper functions for measuring over splits of networks

Description

Helper functions for measuring over splits of networks

Usage

over_waves(
  .data,
  FUN,
  ...,
  attribute = "wave",
  strategy = "sequential",
  verbose = FALSE
)

over_time(
  .data,
  FUN,
  ...,
  attribute = "time",
  slice = NULL,
  strategy = "sequential",
  verbose = FALSE
)

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
FUN	A function to run over all splits.
...	Further arguments to be passed on to FUN.
attribute	A string naming the attribute to be split upon.
strategy	If {furrr} is installed, then multiple cores can be used to accelerate the function. By default "sequential", but if multiple cores available, then "multisession" or "multicore" may be useful. Generally this is useful only when times > 1000. See {furrr} for more.
verbose	Whether the function should report on its progress. By default FALSE. See {progressr} for more.
slice	Optionally, a vector of specific slices. Otherwise all observed slices will be returned.

Functions

• over_waves(): Runs a function, e.g. a measure, over waves of a panel network

• over_time(): Runs a function, e.g. a measure, over time slices of a dynamic network

migraph documentation built on Nov. 2, 2023, 5:47 p.m.