vertex_covariate_compare: Comparisons at dyadic level

In netdiffuseR: Analysis of Diffusion and Contagion Processes on Networks

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, "<=")

netdiffuseR documentation built on Aug. 30, 2023, 5:07 p.m.