# network.conditional: Produce conditional probabilities of dyads of elements, and... In NetFACS: Network Applications to Facial Communication Data

 network.conditional R Documentation

## Produce conditional probabilities of dyads of elements, and graph object based on conditional probabilities

### 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[],
condition = emotions_set[]\$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
```

NetFACS documentation built on March 18, 2022, 7:40 p.m.