structural_na: Structural Missing Data

In anespinosa/netmem: Social Network Measures using Matrices

Structural Missing Data

Description

Assign NA to missing data in matrices.

Usage

structural_na(
  A,
  label = NULL,
  row_labels = NULL,
  col_labels = NULL,
  two_mode = FALSE
)

Arguments

A	An incident or symmetric matrix object.
label	A string vector with the names of the theoretical complete matrix (used for one-mode networks only).
row_labels	A string vector with the names of the rows (used for two-mode networks).
col_labels	A string vector with the names of the columns (used for two-mode networks).
two_mode	Boolean indicating whether the matrix is two-mode. Default is FALSE.

Value

This function returns a matrix with NA assigned to missing data.

Examples

# Example for one-mode network
A <- matrix(c(
  0, 1, 1,
  1, 0, 1,
  0, 0, 0
), byrow = TRUE, ncol = 3)
colnames(A) <- c("A", "C", "D")
rownames(A) <- c("A", "C", "D")
label <- c("A", "B", "C", "D", "E")
structural_na(A, label = label)

# Example for two-mode network
B <- matrix(c(
  0, 1, 0,
  1, 0, 1,
  0, 1, 0,
  1, 0, 1
), byrow = TRUE, ncol = 3)
rownames(B) <- c("X1", "X2", "X3", "X4")
colnames(B) <- c("Y1", "Y2", "Y3")
rlabels <- c("X1", "X2", "X3", "X4", "X5")
clabels <- c("Y1", "Y2", "Y3", "Y4")
structural_na(B, row_labels = rlabels, col_labels = clabels, two_mode = TRUE)

anespinosa/netmem documentation built on April 5, 2025, 5:02 p.m.