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

In CDatanet: Econometrics of Network Data

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)

Arguments

network	A list of adjacency matrices to process.
ncores	The number of cores to use for parallel computation.

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.

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)

CDatanet documentation built on April 3, 2025, 11:07 p.m.