The function takes multiple network objects and plots them next to each other
while keeping the element positions etc constant. Uses
multiple.network.plot(netfacs.graphs, sig.level = 0.01, sig.nodes.only = FALSE)
List of network objects resulting from
Numeric between 0 and 1. P value used to determine whether nodes are significant. Default = 0.01.
Logical. Should only nodes that were significant in _at least_ one of the networks be included in the plots? Default = FALSE.
Function returns a
ggraph plot showing connections
between nodes in the different networks. Elements that are significantly
more likely to occur than expected are large, non-significant elements are
small, and absent elements are absent.
data(emotions_set) emo.faces <- multiple.netfacs( data = emotions_set[], condition = emotions_set[]$emotion, duration = NULL, ran.trials = 10, # only for example control = NULL, random.level = NULL, combination.size = 2 ) emo.nets <- multiple.netfacs.network(emo.faces, min.count = 5) multiple.network.plot(emo.nets)
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