ECDFniche (version 0.1.0)

ecdf_niche: Niche analysis using ECDF and chi-squared

Description

Simulate niche suitability from Mahalanobis distance using both chi-squared and empirical CDF transformations, for a given number of predictor variables.

Usage

ecdf_niche(
  n,
  n_population = 10000L,
  sample_sizes = seq(20L, 500L, 20L),
  seed = NULL
)

Value

A list with:

• corplot: ggplot object with correlation vs sample size.

• sample_data: matrix of simulated sample points.

• sample_niche: numeric vector of “true” niche suitability.

• chisq_suits: numeric vector, 1 - pchisq(Mahalanobis).

• ecdf_suits: numeric vector, 1 - ECDF(Mahalanobis).

• mahal_dists: numeric vector of Mahalanobis distances.

Arguments

n

Integer; number of predictor variables (dimensions).

n_population

Integer; size of simulated environmental population.

sample_sizes

Integer vector of sample sizes to evaluate.

seed

Optional integer seed for reproducibility.

Examples

# Create ECDF-niche based on personalized options:
ecdf_niche <- ecdf_niche(n = 3,
                         n_population = 20000,
                         sample_sizes = seq(50, 1000, 50),
                         seed = 123)