edge.weight.skewness: Estimate skewness of the edge weight distribution for each...
In tbonne/netTS: netTS: network time series
Description
Usage
Arguments
Examples
View source: R/measurment_functions_NODES.R
Description
This function will calculate the skewness of edge weights from nodes in a graph.
Usage
1
edge.weight.skewness(graph1, type = "all")
Arguments
graph1
An igraph object.
type
The type of edges to pull from the graph: 'in', 'out', or 'all'. In non-directed graphs this is ignored.
Examples
1
2
3
4
5
6
7
8
library(igraph)
#Random graph
graph1 <- random.graph.game(n=10, p.or.m = 0.3)
E(graph1)$weight <- c(1,2,3,4,5,6,7,7,7,7)
#skewness
edge.weight.skewness(graph1)
tbonne/netTS documentation built on July 26, 2021, 2:27 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Examples
View source: R/measurment_functions_NODES.R
Description
This function will calculate the skewness of edge weights from nodes in a graph.
Usage
1 | edge.weight.skewness(graph1, type = "all")
|
Arguments
graph1 |
An igraph object. |
type |
The type of edges to pull from the graph: 'in', 'out', or 'all'. In non-directed graphs this is ignored. |
Examples
1 2 3 4 5 6 7 8 | library(igraph)
#Random graph
graph1 <- random.graph.game(n=10, p.or.m = 0.3)
E(graph1)$weight <- c(1,2,3,4,5,6,7,7,7,7)
#skewness
edge.weight.skewness(graph1)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.