as.tnet: Ensures that networks conform to the tnet stardards

In tnet: Weighted, Two-Mode, and Longitudinal Networks Analysis

Description

Checks that a network conforms to the tnet stardards, and attaches a label. If the type parameter is not set, the network is assumed to be a binary two-mode network, a weighted one-mode network, or a longitudinal network if there are 2, 3, or 4 columns respectively. Moreover, if a matrix is entered (more than 4 columns and rows), it is assumed to be a weighted one-mode network if square or a two-mode network if non-square.

Usage

as.tnet(net, type=NULL)

Arguments

net

A network in an edgelist or matrix format. It can be a weighted one-mode network, a binary two-mode network, a weighted two-mode netork, or a longitudinal network. If the data-object has two-columns, it is assumed to be a binary two-mode network; three columns, weighted one-mode network; four columns, longitudinal; five or more and the same number of rows and columns, weighted one-mode network; five or more and –not– the same number of rows and columns, it is assumed to be a two-mode network.

type

If you would like to specify the type of network. This could be "weighted one-mode tnet", "binary two-mode tnet", "weighted two-mode tnet", or "longitudinal tnet".

Value

Returns the network with an attached lable.

Note

version 1.0.0

Author(s)

Tore Opsahl; http://toreopsahl.com

Examples

## Load sample data
sample <- rbind(
c(1,2,4),
c(1,3,2),
c(2,1,4),
c(2,3,4),
c(2,4,1),
c(2,5,2),
c(3,1,2),
c(3,2,4),
c(4,2,1),
c(5,2,2),
c(5,6,1),
c(6,5,1))

## Run the programme
as.tnet(sample)

tnet documentation built on Feb. 25, 2020, 1:07 a.m.