reduceRandomizations: Reduce randomized results to a manageable list of dataframes
In metricTester: Test Metric and Null Model Statistical Performance

Description Usage Arguments Details References Examples

The metricsNnulls function creates lists of lists of dataframes. This function will combine the dataframes from each null model into a single data frame. The output is a more manageable list of dataframes.

1	reduceRandomizations(randomizations.list)

randomizations.list

The results of a call to metricsNnulls()

Given a list of lists of dataframes, such as those that come from a call to metricsNnulls, where the first level of the list relates to a given randomization, and each second level is a data frame containing the calculated metrics after randomization according to a given null model, reduces the results to a simpler list of data frames, where each data frame contains all the results from a given null model from the input randomizations.list.

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

#simulate tree with birth-death process
tree <- geiger::sim.bdtree(b=0.1, d=0, stop="taxa", n=50)

sim.abundances <- round(rlnorm(5000, meanlog=2, sdlog=1)) + 1

cdm <- simulateComm(tree, richness.vector=10:25, abundances=sim.abundances)

#below not run for timing issues on CRAN
rawResults <- metricsNnulls(tree, cdm, metrics=c("richness", "NAW_MPD"),
nulls=c("richness", "frequency"))

results <- reduceRandomizations(rawResults)