TernPlot: Create a ternary plot from results of the STEPCAM_ABC...

In STEPCAM: ABC-SMC Inference of STEPCAM

Description

This function plots the obtained combinations of dispersal assembly, habitat filtering and limiting similarity of best fitting models in a Ternary plot, similar to Figure 3 in van der Plas et al. 2015

Usage

TernPlot(output)

Arguments

output

A list with the following elements: - DA a vector containing the posterior distribution for the parameter dispersal assembly - HF a vector containing the posterior distribution for the parameter habitat filtering - LS a vector containing the posterior distribution for the parameter limiting similarity This list is generated as output by the function STEPCAM_ABC

Author(s)

Fons van der Plas. Adapted from the ternaryplot function from the 'vcd' package

References

Fons van der Plas, Thijs Janzen, Alejandro Ordonez, Wimke Fokkema, Josephine Reinders, Rampal S. Etienne, and Han Olff 2015. A new modeling approach estimates the relative importance of different community assembly processes. Ecology 96:1502-1515.

Examples

## Not run: 
Artificial.Data <- generate.Artificial.Data(n_species = 40, n_traits = 3,
                        n_communities = 5, occurence_distribution = 0.2,
                        average_richness = 0.5, sd_richness = 0.2,
                        mechanism_random=FALSE)
O <- STEPCAM_ABC(Artificial.Data$abundances, Artificial.Data$traits,
                 numParticles = 10, n_traits = 3, plot_number = 1, stopRate = 0.8);
TernPlot(O);

## End(Not run)

STEPCAM documentation built on May 1, 2019, 10:11 p.m.