NOSM_undir: Compute NOS using an undirected network without a user...

Description Usage Arguments Value Examples

View source: R/undir.R

Description

Computation of NOS using an undirected network (e.g. a social co-occurence network) and without a user provided network of potential interactions. In an undirected network, all nodes are considered as potential interacting partners.

Usage

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NOSM_undir(net, perc = 1, sl = 1)

Arguments

net

A network, in the form of an edge list. This should be a matrix or dataframe with two columns. Each value in a column is a node. Nodes can be identified using numbers or characters. Data can also be in the format of a frequency interaction matrix, as used in the bipartite R package. In these cases freqMat_2_edge should be used first, to convert the interaction matrix to an edge list.

perc

(default to 1) - the fraction of node pair comparisons to be performed to compute NOS. We recommend performing all possible pair comparisons (perc = 1). However, for exploratory analyses on large sets of networks (or for very large networks), the possibility of using a lower fraction of pair comparisons is a useful option.

sl

(default is 1) Specifies whether cannibalistic interactions should be considered as possible and therefore taken into account and removed during computation ('1') or not ('0').

Value

A list of class 'NOSM' with a 'Type' attribute 'Undir', containing a vector of overlap values. The summary.NOSM methods provides more useful summary statistics.

Examples

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data(boreal)
y <-  boreal[sample(rownames(boreal), 100, FALSE),] #subset 100 rows for speed
x <- NOSM_undir(y, perc = 1, sl = 1)
summary(x)

txm676/nos documentation built on Sept. 12, 2017, 9:53 a.m.