View source: R/netfacs_extract.R

netfacs_extract | R Documentation |

Extract results from a `netfacs`

object.

netfacs_extract( netfacs.data, combination.size = NULL, significance = 1, min.count = 0, min.prob = 0 ) netfacs.extract( netfacs.data, combination.size = NULL, significance = 1, min.count = 0, min.prob = 0 )

`netfacs.data` |
An object of class |

`combination.size` |
Numeric, denoting the combination size(s) that should
be extracted. If |

`significance` |
Numeric value between 0 and 1, determining the p-value below which combinations are considered to be dissimilar enough from the null distribution. |

`min.count` |
Numeric, denoting the minimum number of times an element combination occurred. |

`min.prob` |
Numeric value between 0 and 1, denoting the minimum probability an element combination occurred to be displayed. |

Function returns a `tibble`

data.frame
that contains the results of the `netfacs`

object. By default,
returns all results for all observed combinations, but can optionally
pre-filter results.

### 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 = 10, combination.size = 2 ) netfacs_extract(angry.face)

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