generate_g: Generating graph from data matrix

In DiffCorr: Analyzing and Visualizing Differential Correlation Networks in Biological Data

Description

Generating graph from data matrix

Usage

generate_g(data, method = "pearson", cor.thr = 0.6, neg.flag = 1,
  node.col = "red", node.size = 7, edge.col = "blue", edge.width = 3)

Arguments

data	data matrix or data frame
method	c("Pearson", "Spearman", "Kendall")
cor.thr	a threshold of correlation coefficient (default: r >= 0.6)
neg.flag	flag where uses or not negative correlations
node.col	specifies color of nodes in a graph (default: red)
node.size	specifies size of nodes in a graph (default: 7)
edge.col	specifies color of edges in a graph (default: blue)
edge.width	specifies width of edges in a graph (default: 3)

Value

igraph object

Author(s)

Atsushi Fukushima

Examples

library(igraph)
mat <- matrix(runif(100), nr=10)
rownames(mat) <- as.character(1:10)
generate_g(mat)

DiffCorr documentation built on May 2, 2019, 3:46 p.m.