Convert scanList 3D array into igraph object (with attrs)

Source: R/scanList_matList_conversion.R

To back-transform an igraphSN object into a scanList object, users can use igraph2scanList(), wrapper to igraph2array() that handles attributes list attrs

scanList2igraph(scan.list)

Arguments

scan.list

a 3 dimensional array representing adjacency matrices (first 2 dimensions) throughout the different scans (3rd dimension)

Value

an igraphSN object:

  • the igraph network object obtained from the weighted adjacency matrix corresponding to the inputted scanList

  • the attrs attributes list carried over from the inputted scanList

Examples

set.seed(42)
n <- 5L
samp.effort <- 100L

# Adjacency matrix import
## random directed adjacency matrix
Adj <- sample(1:samp.effort,n * n) |>
  matrix(nrow = 5,dimnames = list(letters[1:n],letters[1:n]))
Adj[lower.tri(Adj,diag = TRUE)] <- 0L
Adj

#>   a   b  c  d  e
#> a 0 100 37 27 58
#> b 0   0 20 36 42
#> c 0   0  0  5 93
#> d 0   0  0  0 30
#> e 0   0  0  0  0

sL <- simunet(Adj,samp.effort,"upper",10)
G <- sL |> scanList2igraph()
G

#> IGRAPH c280060 UNW- 5 9 -- 
#> + attr: name (v/c), weight (e/n)
#> + edges from c280060 (vertex names):
#> [1] a--b a--c a--d a--e b--c b--d b--e c--e d--e
#> 
#> 
#> Hidden attributes:
#> scanList.type - raw.scanList - Adj - samp.effort - n.scans - mode
#> Adj.subfun - edge.Prob - summed.scanList - sampled - original.class
G |> igraph2scanList()

#> 
#> Weighted adjacency matrix            
#> a . 10 4 2 6
#> b .  . 1 2 7
#> c .  . . . 9
#> d .  . . . 2
#> e .  . . . .
#> 
#> 
#> Hidden attributes:
#> scanList.type - raw.scanList - Adj - samp.effort - n.scans - mode
#> Adj.subfun - edge.Prob - summed.scanList - sampled
G |> igraph2scanList(format = "scanList")

#> 
#> scan: 1           
#> a . 1 1 . 1
#> b . . . . .
#> c . . . . 1
#> d . . . . .
#> e . . . . .
#> 
#> scan: 2           
#> a . 1 . . .
#> b . . . . 1
#> c . . . . 1
#> d . . . . .
#> e . . . . .
#> 
#> ... ( 7  more scans)
#> 
#> scan: 10           
#> a . 1 . 1 1
#> b . . . . .
#> c . . . . 1
#> d . . . . .
#> e . . . . .
#> 
#> 
#> Hidden attributes:
#> scanList.type - raw.scanList - Adj - samp.effort - n.scans - mode
#> Adj.subfun - edge.Prob
identical(G |> igraph2scanList(format = "scanList"),sL)

#> [1] TRUE