scale_scans: Scale list of binary scans into a weighted adjacency matrix...

In R-KenK/SimuNet: Network Simulation Framework, with a Zest of Empiricism

Description

Written as a S3 method to be applied to scanList or sLlist (list of scanList) objects.

Usage

scale_scans(scan.list, ...)

Arguments

scan.list	a scanList or sLlist object. See objects returned by simunet()
...	additional arguments to be passed. At the moment scale_scans() does not use At the moment scale_scans() does not use additional argument, arguments passed will be ignored.

Value

a scaled object, or list of such, consisting mainly on a weighted adjacency matrix where each edge weight is equal to the sum of all binary edges divided by the number of times they have been sampled (determined via count_nonNA()). Inherits from weightedAdj and the previous scanList class (theoretical or empirical, inheriting from scanList), and keeps track of the scan.list's list of attributes attrs

See Also

simunet(), design_exp(), perform_exp(), sum_scans().

Examples

set.seed(42)
n <- 5L
samp.effort <- 241L

# 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]))
diag(Adj) <- 0L
Adj

# social network simulations
## theoretical scans
sL <- simunet(Adj = Adj,samp.effort = samp.effort,mode = "directed",n.scans = 120L)
sL
# scale_scans() can scale `weightedAdj` objects...
sL |> sum_scans() |> scale_scans()


# ... or `scanList` object directly
## group-scan sampling
sL |> perform_exp(design_sampling("group",.6)) |> scale_scans()

## comparing group-scan and focal sampling
sL |> perform_exp(design_sampling("group",.6),
                  design_sampling("focal","even")
                  ) |> scale_scans()

R-KenK/SimuNet documentation built on Oct. 22, 2021, 1:27 a.m.