Generic function for sampling from network models.
Details
sample_() is a generic function for creating graphs.
For every graph constructor in igraph that has a sample_ prefix,
there is a corresponding function without the prefix: e.g.
for sample_pa() there is also pa(), etc.
The same is true for the deterministic graph samplers, i.e. for each
constructor with a make_ prefix, there is a corresponding
function without that prefix.
These shorter forms can be used together with sample_().
The advantage of this form is that the user can specify constructor
modifiers which work with all constructors. E.g. the
with_vertex_() modifier adds vertex attributes
to the newly created graphs.
See the examples and the various constructor modifiers below.
See also
Random graph models (games)
erdos.renyi.game(),
sample_bipartite(),
sample_chung_lu(),
sample_correlated_gnp(),
sample_correlated_gnp_pair(),
sample_degseq(),
sample_dot_product(),
sample_fitness(),
sample_fitness_pl(),
sample_forestfire(),
sample_gnm(),
sample_gnp(),
sample_grg(),
sample_growing(),
sample_hierarchical_sbm(),
sample_islands(),
sample_k_regular(),
sample_last_cit(),
sample_pa(),
sample_pa_age(),
sample_pref(),
sample_sbm(),
sample_smallworld(),
sample_traits_callaway(),
sample_tree()
Constructor modifiers (and related functions)
make_(),
simplified(),
with_edge_(),
with_graph_(),
with_vertex_(),
without_attr(),
without_loops(),
without_multiples()
Examples
pref_matrix <- cbind(c(0.8, 0.1), c(0.1, 0.7))
blocky <- sample_(sbm(
n = 20, pref.matrix = pref_matrix,
block.sizes = c(10, 10)
))
blocky2 <- pref_matrix %>%
sample_sbm(n = 20, block.sizes = c(10, 10))
## Arguments are passed on from sample_ to sample_sbm
blocky3 <- pref_matrix %>%
sample_(sbm(), n = 20, block.sizes = c(10, 10))