Measuring Disparity
Add, remove or get trees (or subtrees)
adonis dispRity (from vegan::adonis2)
Apply inapplicable characters to a matrix.
as.covar
Beck and Lee 2014 datasets
Bhattacharyya Coefficient
Bootstraps and rarefies data.
Character differences
Check a morphological matrix consistency levels.
Separating data in chronological subsets.
Imports data from Claddis
Cleaning phylogenetic data
covar.plot
Utilities for a dispRity object with covariance matrices
Separates stem and crown species
Separating data into custom subsets.
Measuring Disparity in R
Covar projection analyses wrapper
Fast dispRity
Disparity metrics
Disparity in different groups.
Calculates disparity from a matrix.
Disparity through time.
Randtest distance
dtt dispRity (from geiger::dtt)
Getting the time subsets before and after an extinction event
Imports data from geomorph
Get time bins ages
Generates a contrast matrix.
Extract elements from a dispRity object.
Extracts or modify subsets from a dispRity object.
Make and fill dispRity.
Creating disparity metrics
Match tips or nodes edge vector
MCMCglmm.subsets
MCMCglmm object utility functions
Model Test
Simulate Model Test
Model test wrapper
Ancestral states estimations with multiple trees
Testing a null hypothesis on multidimensional data.
Plots pairwise comparisons
phylolm dispRity (from phylolm::phylolm)
Plots character differences
dispRity object plotting
Prints a dispRity object.
Random circle
Random (permutation) test
Reduce a matrix
Reduce space
Remove zero branch length
Rescaling and centering disparity results.
Selects ordination axes
Simulates morphological data.
Time slicing a tree.
Stretching a tree
Sorting or ordering a dispRity object.
Creating multidimensional spaces
dispRity object summary
Testing disparity hypotheses
Test disparity metric
Extracting the age of nodes and tips in a tree.
A modular package for measuring disparity (multidimensional space occupancy). Disparity can be calculated from any matrix defining a multidimensional space. The package provides a set of implemented metrics to measure properties of the space and allows users to provide and test their own metrics. The package also provides functions for looking at disparity in a serial way (e.g. disparity through time) or per groups as well as visualising the results. Finally, this package provides several statistical tests for disparity analysis.