generate_g {DiffCorr} | R Documentation |
Generating graph from data matrix
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)
[Package DiffCorr version 0.4.3 Index]