plot_fitness_landscape_evol: Plot the fitness landscape in a 'comrad' simulation over time
In TheoPannetier/comrad: R implementation of a Competitive Radiation model

View source: R/plot_fitness_landscape_evolution.R

plot_fitness_landscape_evol

R Documentation

Plot the fitness landscape in a `comrad` simulation over time

Description

Computes the fitness landscape along the time sequence defined by generation_range in a 3D plot.

Usage

plot_fitness_landscape_evol(
  comrad_tbl,
  z_seq = NULL,
  generation_range = c(0, Inf),
  fitness_lim = c(0, get_fitness(0)),
  competition_sd,
  carrying_cap_sd
)

Arguments

`comrad_tbl`	a tibble containing the output of a `comrad` simulation, as produced by `run_simulation()` or read by `read_comrad_tbl()`.
`z_seq`	numeric vector, the sequence of trait values along which the fitness landscape should be computed. Default `z_seq = NULL` sets the sequence to every `0.01` between twice the minimal and maximal value in `comrad_tbl`.
`generation_range`	numeric vector with length 2, supplying the first and last generation to plot from the dataset. Defaults to every generation in the table
`fitness_lim`	numeric vector of length 2, the plotting range for the z-axis, the fitness.
`competition_sd`	numeric `⁠>= 0⁠`.Parameter `\sigma_{\alpha}` of the competition coefficient. Modulates the the strength of competition between two individuals given their distance in trait space.
`carrying_cap_sd`	numeric `⁠>= 0⁠`. Parameter `\sigma_K` of the carrying capacity. Modulates how fast the carrying capacity decays when moving away from the optimal trait value.