sensitivity.boxplots

An input matrix with ncol equal to the number of elements in traitspaces,
and a given row containing the values for each trait space for that simulation run.

results.mat

A vector identifying the traitspaces at which the simulation analysis was carried out

traitspaces

The number of records in the original matrix.
This is the point where if every record were unique, the entire traitspace would be full.

n.recs

Takes the output results from multiple simulation iterations and plots boxplots displaying the results

Functions to calculate Unique Trait Combinations (UTC) and scaled
Unique Trait Combinations (sUTC) as measures of multivariate richness. The
package can also calculate beta-diversity for trait richness and can
partition this into nestedness-related and turnover components. The code
will also calculate several measures of overlap. See Keyel and Wiegand
(2016) <doi:10.1111/2041-210X.12558> for more details.

sensitivity.boxplots: Make boxplots based on multiple simulations

Description

Usage

Arguments