CDatanet (version 2.2.1)

remove.ids: Removing Identifiers with NA from Adjacency Matrices Optimally

Description

The remove.ids function removes identifiers with missing values (NA) from adjacency matrices in an optimal way. Multiple combinations of rows and columns can be deleted to eliminate NAs, but this function ensures that the smallest number of rows and columns are removed to retain as much data as possible.

Usage

remove.ids(network, ncores = 1L)

Value

A list containing:

network

A list of adjacency matrices without missing values.

id

A list of vectors indicating the indices of retained rows and columns for each matrix.

Arguments

network

A list of adjacency matrices to process.

ncores

The number of cores to use for parallel computation.

Examples

# Example 1: Small adjacency matrix
A <- matrix(1:25, 5)
A[1, 1] <- NA
A[4, 2] <- NA
remove.ids(A)

# Example 2: Larger adjacency matrix with multiple NAs
B <- matrix(1:100, 10)
B[1, 1] <- NA
B[4, 2] <- NA
B[2, 4] <- NA
B[, 8] <- NA
remove.ids(B)