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A fct that build an adjacency matrix from a list of edges

Usage

# S3 method for default
get_adjacency(edges, type = c("unipartite", "bipartite"), directed = FALSE)

Arguments

edges

Can be a table which is a list pair of nodes (nodes ids are one the two first columns) a numerical third column can be associated will be the connections values.

type

network type can be `'bipartite'` or `'unipartite'`

directed

whether or not connections are directed (`TRUE`) or symmetrical (`FALSE`) (default is set to `TRUE`)

Value

an adjacency/incidence matrix (data.frame) representing the network

Examples

# For unipartite network
data_uni <- FungusTreeNetwork$networks$tree_tree

# If the network is symmetric:
my_mat <- get_adjacency(data_uni$edges,
  type = data_uni$type,
  directed = FALSE
)
# If the network is directed:
my_mat <- get_adjacency(data_uni$edges,
  type = data_uni$type,
  directed = TRUE
)

# For bipartite network
data_bi <- FungusTreeNetwork$networks$fungus_tree

my_mat <- get_adjacency(data_bi$edges, type = data_bi$type)

# In any case with a 2 columns data.frames the network is considered binary and each line is a 1.
binary_net <- FungusTreeNetwork$fungus_tree$edges[, -3]

my_mat <- get_adjacency(binary_net, type = data_bi$type)
#> Warning: edges should be a table of 2 or 3 columns