Network Applications to Facial Communication Data


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Documentation for package ‘NetFACS’ version 0.5.0

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add_inactive_single_units Add inactive (missing) single units
calculate_combination_size Calculate combination size
conditional_probabilities Summarise dyadic combination of elements
define_contexts Define truth for AUs active in different contexts
define_joint_prob Joint probability distribution of AUs
distribution.plot Plots the observed probability for an element against the distribution of the null model
element.plot Plots the observed and expected probabilities for the basic elements based on the condition
element.specificity (Defunct) Tests how much each element increases the specificity of all combinations it is in
emotions_set Letter Data
entropy.overall (Deprecated) Calculate information content of the dataset
entropy_overall Calculate information content of the dataset
equal_observations Check that ALL objects have the same number of observations
event.size.plot Plots the probability that a combination of a certain size appears
event_size_plot Plots the probability that a combination of a certain size appears
get_active_elements Extract active elements from matrix
get_data Extract used data from a 'netfacs' object
is.netfacs Checks if argument is a 'netfacs' object
is.netfacs_multiple Checks if argument is a 'netfacs_multiple' object
is.netfacs_specificity Checks if argument is a 'netfacs_specificity' object
letternet Letter Data
multiple.netfacs (Deprecated) Applies the 'netfacs' function across multiple levels of the condition and puts them in a list
multiple.netfacs.network Creates network objects out of the netfacs data
multiple.network.plot Plots networks for multiple conditions
multiple_netfacs_network Creates network objects out of the netfacs data
multiple_network_plot Plots networks for multiple conditions
mutual.information Calculates the pointwise mutual information of units with each other
mutual.information.condition Tests how much each element increases the specificity of all combinations it is in
netfacs Create probability distribution of combinations of elements in the data
netfacs.extract Extract results from a netfacs object
netfacs.network Creates a network object out of the netfacs data
netfacs.reciprocity Calculate reciprocity of probabilities that two elements appear together
netfacs_bootstrap Calculate expected probability from single bootstrap
netfacs_extract Extract results from a netfacs object
netfacs_multiple Applies the 'netfacs' function across multiple levels of the condition and puts them in a list
netfacs_network Creates a network object out of the netfacs data
netfacs_randomize Calculate probabilities from single randomization
network.conditional (Deprecated) Produce conditional probabilities of dyads of elements, and graph object based on conditional probabilities
network.plot Plots a network object
network.summary Returns all kinds of network measures for the netfacs network
network.summary.graph Returns all kinds of graph-level network measures for the netfacs network
network_conditional Create a network based on conditional probabilities of dyads of elements
network_plot Plots a network object
network_summary Returns all kinds of network measures for the netfacs network
network_summary_graph Returns all kinds of graph-level network measures for the netfacs network
overlap.network (Deprecated) Plots the overlap of multiple conditions as bipartite network.
overlap_network Plots the overlap of multiple conditions as bipartite network
possible_combinations Calculate all possible combinations of elements
prepare.netfacs Take data that are not currently in format and turn them into the correct format for netfacs function
print.netfacs Print method for objects of class 'netfacs'
print.netfacs_multiple Print method for objects of class 'netfacs_multiple'
probability_of_combination Calculate probabilities of single elements and combinations occurring
probability_of_event_size Count number of event sizes
sim_facs Simulate FACS data
specificity Specificity
specificity_increase Tests how much each element increases the specificity of all combinations it is in
summarise_combination Summarise combination results from bootstrap
summarise_event_size Summarise event size probabilities
upsample Up sample
validate_condition Check that condition arguments are formatted correctly
validate_data Check that 'data' argument is formatted correctly