Histogram of edge weights in a network. The number of edges and the mean and standard deviation of the weights are printed in the top margin.
Usage
plot_edge_weights(
x,
normalize = FALSE,
bins = NULL,
log = "",
directed = NULL,
col = "steelblue",
border = "white",
main = "Edge Weight Distribution",
xlab = "Weight",
...
)Arguments
- x
Network input: matrix, igraph, network, cograph_network, or tna.
- normalize
Logical. Show proportions. Default FALSE.
- bins
Integer or NULL. Number of equal-width bins. With the default NULL, integer weights spanning at most 30 units get one bin per integer and other weights use the Freedman-Diaconis rule.
- log
Character.
"y"or"xy"log-scales the y-axis. Any other value gives linear axes. Default"".- directed
Logical or NULL. Default NULL (auto-detect).
- col
Fill color. Default
"steelblue".- border
Border color. Default
"white".- main
Title. Default
"Edge Weight Distribution".- xlab
X-axis label. Default
"Weight".- ...
Additional arguments passed to
barplot.
