calculate_prob_of_comb |
Calculate probabilities of single elements and combinations occurring |
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 |
Tests how much each element increases the specificity of all combinations it is in |
emotions_set |
Letter Data |
entropy.overall |
Compares the observed and expected information content of the dataset |
event.size.plot |
Plots the probability that a combination of a certain size appears |
letternet |
Letter Data |
multiple.netfacs |
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 |
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 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 |
netfacs.network |
Creates a network object out of the netfacs data |
netfacs.reciprocity |
Calculate reciprocity of probabilities that two elements appear together |
network.conditional |
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 |
overlap.network |
Plots the overlap of multiple conditions as bipartite network |
prepare.netfacs |
Take data that are not currently in format and turn them into the correct format for netfacs function |
sample_contexts |
Sample observations of simulated FACS data |