resample_edge_weights: Resample network edge weights

In kpj/dce: Pathway Enrichment Based on Differential Causal Effects

Resample network edge weights

Description

Takes a graph and modifies edge weights.

Usage

resample_edge_weights(g, tp = 0.5, mineff = 1, maxeff = 2, method = "unif")

Arguments

g	original graph
tp	fraction of edge weights which will be modified
mineff	minimal differential effect size
maxeff	maximum effect effect size or standard deviation, if method is "gauss"
method	method for drawing the differential for the causal effects. Can be "unif", "exp" or "gauss".

Value

graph with new edge weights

Author(s)

Martin Pirkl

Examples

graph.wt <- as(matrix(c(0,0,0,1,0,0,0,1,0), 3), "graphNEL")
graph.mt <- resample_edge_weights(graph.wt)

kpj/dce documentation built on Oct. 29, 2022, 1:40 a.m.