topology2nd: Higher order topology and correlation between node degrees

Description Usage Arguments See Also Examples

Description

Auxiliary function to estimate how non-random are associations of node degrees in network edges.

Usage

1
2
topology2nd(NET, Lowercase = 1, col.1 = 1, col.2 = 2, echo = 1,
  main = "Higher order topology")

Arguments

NET

Either a text network file or an R list imported with import.net

Lowercase

Render gene/protein IDs lower-case.

col.1

Number of the column in the input file that corresponds to node 1 (gene/protein ID).

col.2

Number of the column in the input file that corresponds to node 2 (gene/protein ID).

echo

if execution progress should be reported.

main

The plot title.

See Also

connectivity, benchmark

Examples

1
2
3
data(net.kegg)
net <- net.kegg
topology2nd(NET=net, main="Second order topology in KEGG network")


Search within the NEArender package
Search all R packages, documentation and source code

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.