tests: Conditional uniform graph and permutation tests

In migraph: Multimodal Network Analysis and More

Conditional uniform graph and permutation tests

Description

These functions conduct conditional uniform graph (CUG) or permutation (QAP) tests of any graph-level statistic.

Usage

test_random(
  .data,
  FUN,
  ...,
  times = 1000,
  strategy = "sequential",
  verbose = FALSE
)

test_permutation(
  .data,
  FUN,
  ...,
  times = 1000,
  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 graph-level statistic function to test.
...	Additional arguments to be passed on to FUN, e.g. the name of the attribute.
times	Integer indicating number of simulations used for quantile estimation. (Relevant to the null hypothesis test only - the analysis itself is unaffected by this parameter.) Note that, as for all Monte Carlo procedures, convergence is slower for more extreme quantiles. By default, times=1000. 1,000 - 10,000 repetitions recommended for publication-ready results.
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.

Functions

• test_random(): Returns test results for some measure on an object against a distribution of measures on random networks of the same dimensions

• test_permutation(): Returns test results for some measure on an object against a distribution of measures on permutations of the original network

See Also

Other models: play, regression

Examples

marvel_friends <- to_unsigned(ison_marvel_relationships)
marvel_friends <- to_giant(marvel_friends) %>% 
  to_subgraph(PowerOrigin == "Human")
(cugtest <- test_random(marvel_friends, network_heterophily, attribute = "Attractive",
  times = 200))
plot(cugtest)
(qaptest <- test_permutation(marvel_friends, 
                network_heterophily, attribute = "Attractive",
                times = 200))
plot(qaptest)

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