compute_simplex: Run univariate analysis on each time series
In ha0ye/portalDS: Compute Dynamic Stability for Rodents at Portal

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

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

`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

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

ha0ye/portalDS documentation built on March 28, 2020, 1:21 p.m.