Histogram or density plot of one centrality measure. The input is either
the data frame returned by centrality or a network, for
which the measure is computed first.
Usage
plot_centrality_distribution(
x,
measure = "degree_all",
type = c("histogram", "density"),
normalize = FALSE,
bins = NULL,
log = "",
col = "steelblue",
border = "white",
main = NULL,
xlab = NULL,
...
)Arguments
- x
A data frame from
centrality, or a network input (matrix, igraph, cograph_network, tna).- measure
Character. Column of the centrality output to plot, for example
"degree_all"(default) or"strength_in". An unknown name is an error that lists the available columns.- type
Character.
"histogram"(default) or"density".- normalize
Logical. Show proportions instead of counts. Default FALSE.
- bins
Integer or NULL. Number of equal-width histogram bins. The default NULL uses the Freedman-Diaconis rule.
- log
Character.
"y"or"xy"log-scales the y-axis. The x-axis is never log-scaled, and any other value gives linear axes. Default"".- col
Fill color (line color for the density). Default
"steelblue".- border
Bar border color for the histogram. Default
"white".- main
Plot title. The default NULL builds a title such as
"Degree Distribution"from the measure name.- xlab
X-axis label. The default NULL uses the measure name.
- ...
