View source: R/distribution_plot.R

distribution.plot | R Documentation |

The function takes all single elements in a netfacs object, and plots the distribution of probabilities under the null hypothesis, marking where the observed probability falls

distribution.plot(netfacs.data)

`netfacs.data` |
object resulting from netfacs() function |

Function returns a ggplot showing for each element the distribution of expected probabilities (blue) and the observed probability (black line)

### how do angry facial expressions differ from non-angry ones? data(emotions_set) angry.face <- netfacs( data = emotions_set[[1]], condition = emotions_set[[2]]$emotion, test.condition = "anger", ran.trials = 100, combination.size = 2 ) # show distribution of AU4 distribution.plot(netfacs.data = angry.face)$"4"

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