get_weighted_mnts: weighted moments generation

In TAD: Realize the Trait Abundance Distribution

weighted moments generation

Description

weighted moments generation

Usage

get_weighted_mnts(
  weights_factor,
  trait_data,
  weighted_moments_file,
  regenerate_weighted_moments_df,
  abundance_df,
  randomization_number,
  slope_distance,
  intercept_distance,
  factor_names = NULL
)

Arguments

weights_factor	the dataframe which contains the different factor linked to the weights
trait_data	a vector of the data linked to the different factor
weighted_moments_file	the path and name of the RDS file to load/save the dataframe which contains the calculated moments
regenerate_weighted_moments_df	boolean to specify if the weighted moments dataframe is computed again
randomization_number	the number of random abundance matrix to generate
slope_distance	slope of the theoretical distribution law (default: slope = 1 intercept = 1.86 skew-uniform distribution family)
intercept_distance	intercept of the theoretical distribution law (default: slope = 1 intercept = 1.86 skew-uniform distribution family)

TAD documentation built on April 4, 2025, 5:10 a.m.