Plot weight distribution — plot_weight_distribution • inferCSN

Plot weight distribution

plot_weight_distribution(
  network_table,
  binwidth = 0.01,
  show_border = FALSE,
  border_color = "black",
  alpha = 1,
  theme = "viridis",
  theme_begin = 0,
  theme_end = 0.5,
  theme_direction = -1,
  legend_position = "right"
)

Arguments

network_table: The weight data table of network.
binwidth: Width of the bins.
show_border: Logical value, whether to show border of the bins.
border_color: Color of the border.
alpha: Alpha value of the bins.
theme: Theme of the bins.
theme_begin: Begin value of the theme.
theme_end: End value of the theme.
theme_direction: Direction of the theme.
legend_position: The position of legend.

Value

ggplot object

Examples

data("example_matrix")
network_table <- inferCSN(example_matrix)
#> ✔ Running for <matrix>.
#> ✔ Checking input parameters.
#> ✔ Using L0 sparse regression model.
#> ✔ Using 1 core.
#> ✔ Run done.
plot_weight_distribution(network_table)