netfacs_network {NetFACS}

Creates a network object out of the netfacs data

Description

Takes the results of the nefacs object for combinations of 2 elements and turns them into a network object (igraph) that can be used for further plotting and analyses

Usage

netfacs_network(
  netfacs.data,
  link = "unweighted",
  significance = 0.01,
  min.count = 1,
  min.prob = 0,
  ignore.element = NULL
)

netfacs.network(
  netfacs.data,
  link = "unweighted",
  significance = 0.01,
  min.count = 1,
  min.prob = 0,
  ignore.element = NULL
)

Arguments

netfacs.data

object resulting from netfacs function

link

determines how nodes/elements are connected. 'unweighted' gives a 1 to significant connections and 0 to all others; 'weighted' gives the difference between observed and expected probability of co-occurrence; 'raw' just uses the observed probability of co-occurrence

significance

numeric value, determining the p-value below which combinations are considered to be dissimilar enough from the null distribution

min.count

numeric value, suggesting how many times a combination should at least occur to be displayed

min.prob

numeric value, suggesting the probability at which a combination should at least occur to be displayed

ignore.element

vector of elements that will not be considered for the network, e.g. because they are too common or too rare or their interpretation is not relevant here

Value

Function returns a network object where the nodes are the elements, edges represent their co-occurrence, and the vertex and edge attributes contain all additional information from the netfacs object

Examples

data(emotions_set)
angry.face <- netfacs(
  data = emotions_set[[1]],
  condition = emotions_set[[2]]$emotion,
  test.condition = "anger",
  ran.trials = 100,
  combination.size = 2
)

anger.net <- netfacs_network(
  netfacs.data = angry.face,
  link = "unweighted",
  significance = 0.01,
  min.count = 1
)