vertex_covariate_compare {netdiffuseR}R Documentation

Comparisons at dyadic level

Description

Comparisons at dyadic level

Usage

vertex_covariate_compare(graph, X, funname)

Arguments

graph

A matrix of size n\times n of class dgCMatrix.

X

A numeric vector of length n.

funname

Character scalar. Comparison to make (see details).

Details

This auxiliary function takes advantage of the sparseness of graph and applies a function in the form of funname(x_i,x_j) only to (i,j) that have no empty entry. In other words, applies a compares elements of X only between vertices that have a link; making nlinks(graph) comparisons instead of looping through n\times n, which is much faster.

funname can take any of the following values: "distance", "^2" or "quaddistance", ">" or "greater", "<" or "smaller", ">=" or "greaterequal", "<=" or "smallerequal", "==" or "equal".

Value

A matrix dgCMatrix of size n\times n with values in the form of funname(x_i,x_j).

See Also

Other dyadic-level comparison functions: matrix_compare(), vertex_covariate_dist()

Examples


# Basic example ------------------------------------------------------------
set.seed(1313)
G <- rgraph_ws(10, 4, .2)
x <- rnorm(10)

vertex_covariate_compare(G, x, "distance")
vertex_covariate_compare(G, x, "^2")
vertex_covariate_compare(G, x, ">=")
vertex_covariate_compare(G, x, "<=")

[Package netdiffuseR version 1.22.6 Index]