betaErrorWrapper: Read in and calculate type I and II error rates of a set of...

In metricTester: Test Metric and Null Model Statistical Performance

Description

Reads in the results of a set of betaMultiLinker results and summarizes the type I and II error rates of the various metric-null combinations under different assembly processes.

Usage

betaErrorWrapper(working.directory)

Arguments

working.directory

Optional character string specifying the working directory. If missing, the current working directory will be used.

Details

The internal Reduce call in this function is not formatted to my liking (ETM). Ideally, it would return a list of the length of the number of spatial simulations, then a data frame for each spatial simulation. Instead, consolidates all to a single data frame. It would be easy to make it work with for loops, but it should also be possible to revise the Reduce call and make it return results properly formatted.

Value

A data frame of spatial simulations, null models, and metric combinations, summarizing the results of all the betaMultiLinker runs in the working directory. Numbers refer to total number of runs that resulted in an error. Errors for the random spatial simulation refer to type I errors, errors for habitat filtering simulation refer to type II errors for detecting filtering, and errors for competitive exclusion refer to type II errors for detecting competition.

References

Miller, E. T., D. R. Farine, and C. H. Trisos. 2016. Phylogenetic community structure metrics and null models: a review with new methods and software. Ecography DOI: 10.1111/ecog.02070

metricTester documentation built on Dec. 16, 2019, 1:20 a.m.