network_plot | R Documentation |
Plots the network created using the netfacs_network
function;
for networks with clear clusterin of elements, clusters can get different
colours
network_plot( netfacs.graph, title = "network", clusters = FALSE, plot.bubbles = FALSE, hide.unconnected = TRUE ) network.plot( netfacs.graph, title = "network", clusters = FALSE, plot.bubbles = FALSE, hide.unconnected = TRUE )
netfacs.graph |
igraph network object resulting from
|
title |
string of the graph's main title |
clusters |
if |
plot.bubbles |
if TRUE, then the nodes in the network plots will be surrounded by bubbles; if FALSE, the edges connect the names directly |
hide.unconnected |
if TRUE, then the nodes that do not have any significant connections will be hidden in the plot |
Function returns a ggraph
plot of the network,
where the size of nodes indicates how often they occur on their own, and
edges indicate significant co-occurrence between them
data(emotions_set) angry.face <- netfacs( data = emotions_set[[1]], condition = emotions_set[[2]]$emotion, test.condition = "anger", ran.trials = 10, combination.size = 2 ) anger.net <- netfacs_network( netfacs.data = angry.face, link = "unweighted", significance = 0.01, min.count = 1 ) network_plot(anger.net, title = "Angry Faces", clusters = FALSE, plot.bubbles = TRUE)
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