Plot histogram
Usage
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.
Examples
data(example_matrix)
network_table <- inferCSN(example_matrix)
#> ℹ [2025-10-30 09:49:16] Running for <dense matrix>.
#> ◌ [2025-10-30 09:49:16] Checking input parameters...
#> ℹ [2025-10-30 09:49:16] Using `L0` sparse regression model
#> ℹ [2025-10-30 09:49:16] Using 1 core
#> ⠙ [2025-10-30 09:49:16] Running [1/18] ETA: 0s
#> ✔ [2025-10-30 09:49:16] Completed 18 tasks in 213ms
#>
#> ℹ [2025-10-30 09:49:16] Building results
#> ✔ [2025-10-30 09:49:16] Run done.
plot_histogram(network_table[, 3])
#> Warning: The `size` argument of `element_line()` is deprecated as of ggplot2 3.4.0.
#> ℹ Please use the `linewidth` argument instead.
#> ℹ The deprecated feature was likely used in the inferCSN package.
#> Please report the issue at <https://github.com/mengxu98/inferCSN/issues>.