metricTester (version 1.2.2)

sesIndiv: Summary statistics of SES results

Description

Summarizes individual iteration performance of each sim/null/metric combination across all iterations

Usage

sesIndiv(raw.results, concat.by)

Arguments

raw.results

A list of lists of lists of dataframes; the results of a call to readIn.

concat.by

Whether randomizations were concatenated by richness, plot or both.

Value

A data frame summarizing the total number of runs per spatial simulation, null, metric, concat.by combination, as well as the type I and II error rates of each such unique combination.

Details

This function takes a raw list of results from multiple iterations from multiLinker, and runs sesSingle across each one. It then summarizes the results of those single runs as the number of sim/null/metrics that deviated beyond expectations and the number that were within expectations. A single run from a given unique metric + null approach is considered as throwing a type I error only if p is less than or equal to 0.05 for the random spatial simulation. It would be possible to also assess whether such unique combinations throw the opposite signal than expected for habitat filtering and competitive exclusion. A unique combination iteration is considered to throw a type II error if the p value from either the filtering or the exclusion simulation is greater than 0.05.

References

Miller, E. T., D. R. Farine, and C. H. Trisos. 2015. Phylogenetic community structure metrics and null models: a review with new methods and software. bioRxiv 025726.

Examples

#not run
#results <- readIn()
#summ <- sesIndiv(results, "both")