netfacs.extract: Extract results of 'netfacs' function for specific...

In AlexMielke1988/NetFACS: Network Applications to Facial Communication Data

Description

Extract results of 'netfacs' function for specific combination sizes For the selected combination size, the function returns all combinations that had significantly higher probabilities of occuring than expected under the null condition

Usage

netfacs.extract(
  netfacs.data,
  level = 1,
  min.count = 1,
  min.prob = 0,
  min.specificity = 0,
  significance = 0.01
)

Arguments

netfacs.data	object resulting from netfacs() function
level	combination size for which all remaining combinations should be extracted
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
min.specificity	numeric value, suggesting the specificity a combination should at least have for the test condition to be displayed
significance	numeric value, determining the p-value below which combinations are considered to be dissimilar enough from the null distribution

Value

Function returns a dataframe that includes all combinations for the selected combination size that fulfil the selected criteria

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
)

netfacs.extract(angry.face,
  level = 2,
  min.count = 5,
  min.prob = 0.01,
  min.specificity = 0.5,
  significance = 0.01
)

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