network.conditional: Produce conditional probabilities of dyads of elements, and...

In AlexMielke1988/NetFACS: Network Applications to Facial Communication Data

Description

For all dyadic combinations that appear in the test dataset, this function returns the probability of A occurring (P(A)), the probability of B occurring (P(B)), the probability of A and B occurring simultaneously (P(A+B)), and the probability of A occurring if B is given (P(A|B)). It also creates a graph object that can be plotted

Usage

network.conditional(
  netfacs.data,
  min.prob = 0,
  min.count = 0,
  ignore.element = NULL,
  plot.bubbles = FALSE
)

Arguments

netfacs.data	object resulting from netfacs() function
min.prob	minimum conditional probability that should be shown in the graph
min.count	minimum number of times that a combination should occur before being included in the graph
ignore.element	string vector, can be used to exclude certain elements when creating the plots
plot.bubbles	if TRUE, then the nodes in the network plots will be surrounded by bubbles; if FALSE, the edges connect the names directly

Value

Function returns a dataframe that includes all dyadic combinations and their observed and conditional probabilities

Examples

### how do angry facial expressions differ from non-angry ones?
data(emotions_set)
angry.face <- netfacs(
  data = emotions_set[[1]],
  condition = emotions_set[[2]]$emotion,
  test.condition = "anger",
  ran.trials = 100,
  combination.size = 2
)

conditional.net <- network.conditional(
  netfacs.data = angry.face,
  min.prob = 0.01,
  min.count = 3,
  ignore.element = "25",
  plot.bubbles = FALSE
)

conditional.net$conditional.probalities

AlexMielke1988/NetFACS documentation built on Oct. 27, 2020, 4:14 p.m.