Plot histogram — plot_histogram • inferCSN

Plot histogram

plot_histogram(
  data,
  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

data: A numeric vector.
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

A ggplot object

Examples

data("example_matrix")
network_table <- inferCSN(example_matrix)
#> ℹ [2025-04-22 07:40:20] Running for <dense matrix>.
#> ℹ [2025-04-22 07:40:20] Checking input parameters.
#> ℹ [2025-04-22 07:40:20] Using L0 sparse regression model.
#> ℹ [2025-04-22 07:40:20] Using 1 core
#> ✔ [2025-04-22 07:40:20] Run done.
plot_histogram(network_table[, 3])