Plot Univariate Correlated Fitness Function — plot_univariate

Visualizes the univariate fitness function estimated via spline.

Usage

plot_univariate_fitness(
  uni,
  trait_col,
  title = NULL,
  show_points = TRUE,
  point_alpha = 0.25,
  ribbon_fill = NA,
  ribbon_linetype = "dashed",
  classic_plot = FALSE,
  ...
)

Arguments

uni: Output object of class "univariate_fitness" from univariate_spline().
trait_col: Character string specifying the trait column name.
title: Optional character string for the plot title.
show_points: Logical indicating whether to show the original data points. Default is TRUE.
point_alpha: Numeric value for point transparency. Default is 0.25.
ribbon_fill: Color for the confidence interval ribbon. Default is NA (transparent).
ribbon_linetype: Linetype for the confidence interval bounds. Default is "dashed".
classic_plot: Logical; if TRUE, draw the plain published style (a single dashed confidence outline, solid fit line, raw points, and a minimal theme). Default is FALSE.
...: Additional arguments passed to ggplot2::labs().

Value

A ggplot object representing the univariate fitness function.

Examples

prep <- prepare_selection_data(bumpus, "survival", "total_length")
uni <- univariate_spline(prep, "survival", "total_length")
#> Fitness type detected: binary
plot_univariate_fitness(uni, "total_length")

plot_univariate_fitness(uni, "total_length", classic_plot = TRUE)