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Plot coefficients

Source: R/plotting_functions.R
plot_coefficient.Rd

Plot coefficients

Usage

plot_coefficient(
  data,
  style = "continuous",
  positive_color = "#3d67a2",
  negative_color = "#c82926",
  neutral_color = "#cccccc",
  bar_width = 0.7,
  text_size = 3,
  show_values = TRUE
)

Arguments

data

Input data.

style

Plotting style: "binary", "gradient", or "continuous".

positive_color

Color for positive weights. Default is "#3d67a2".

negative_color

Color for negative weights. Default is "#c82926".

neutral_color

Color for weights near zero (used in "continuous" style). Default is "#cccccc".

bar_width

Width of the bars. Default is 0.7.

text_size

Size of the text for weight values. Default is 3.

show_values

Whether to show weight values on bars. Default is TRUE.

Value

A ggplot object

Examples

data(example_matrix)
network_table <- inferCSN(example_matrix, targets = "g1")
#> ℹ [2025-10-16 02:36:44] Running for <dense matrix>.
#> ◌ [2025-10-16 02:36:44] Checking input parameters...
#> ℹ [2025-10-16 02:36:44] Using 1 target
#> ℹ [2025-10-16 02:36:44] Using `L0` sparse regression model
#> ℹ [2025-10-16 02:36:44] Using 1 core
#> ℹ [2025-10-16 02:36:44] Building results
#> ✔ [2025-10-16 02:36:44] Run done.
plot_coefficient(network_table)

plot_coefficient(network_table, style = "binary")