Run univariate analysis on each time series

Run simplex projection models for each time series in the block and save the output, to determine the best embedding dimension for each column.

compute_simplex(block, E_list = 1:10,
  surrogate_method = "annual_spline", num_surr = 100,
  surr_params = NULL, id_var = NULL)

Arguments

block	a data.frame containing time series for the community. Each column is a time series of abundances.
E_list	the embedding dimension or range of embedding dimensions to search over.
surrogate_method	which surrogate method to use: options are "annual_spline" or methods available in rEDM::make_surrogate_data()
num_surr	number of surrogates to compute
surr_params	a list of named optional arguments to be passed into the surrogate data function
id_var	the name of the index variable of block that is useful for labeling the time-varying output, if it exists

Value

A tibble with columns for the species name (taken from the original column names), the abundance time series for each species, the output from rEDM::simplex(), the best embedding dimension, as determined by the E that minimizes MAE, and surrogate time series