skewers

nsim

method to generate a null distribution of the random skewers correlation between matrices. If <code>method=NULL</code> then the correlation will be compared to the correlation between random vectors; however this test has type I error substantially above the nominal level for ostensibly random matrices. Other values of <code>method</code> will be passed as <code>covMethod</code> to <code>genPositiveDefMat</code> for a more robust hypothesis test (see below). Recommended values include <code>"unifcorrmat"</code>.

method


	This function performs the random skewers matrix comparison method of Cheverud (1996; also see Cheverud & Marroig 2007 for more details). In addition, it includes a more robust hypothesis test in which random covariance matrices are simulated under a variety of models, and then the mean correlation between response vectors to random skewers are computed.


Statistics

comparative method

Package contains various functions for phylogenetic analysis.
This functionality is concentrated in the phylogenetic analysis of
comparative data from species. For example, the package includes
functions for Bayesian and ML ancestral state estimation; visual
simulation of trait evolution; fitting models of trait evolution
with multiple Brownian rates and correlations; visualizing
discrete and continuous character evolution using colors or
projections into trait space; identifying the location of a change
in the rate of character evolution on the tree; fast Brownian motion
simulation and simulation under several other models of
continuous trait evolution; fitting a model of correlated binary
trait evolution; locating the position of a fossil or an recently
extinct lineage on a tree using continuous character data with ML;
plotting lineage accumulation through time, including across
multiple trees (such as a Bayesian posterior sample); conducting
an analysis called stochastic character mapping, in which character
histories for a discrete trait are sampled from their posterior
probability distribution under a model; conducting a multiple
(i.e., partial) Mantel test; fitting a phylogenetic regression model
with error in predictor and response variables; conducting a
phylogenetic principal components analysis, a phylogenetic
regression, a reduced major axis regression, a phylogenetic
canonical correlation analysis, and a phylogenetic ANOVA; projecting
a tree onto a geographic map; simulating discrete character
histories on the tree; fitting a model in which a discrete character
evolves under the threshold model; visualization of cospeciation; a
simple statistical test for cospeciation between two trees. In
addition to this phylogenetic comparative method functionality, the
package also contains functions for a wide range of other purposes in
phylogenetic biology. For instance, functionality in this package
includes (but is not restricted to): adding taxa to a tree
(including randomly, everywhere, or automatically to genera);
generating all bi- and multi-furcating trees for a set of taxa;
reducing a phylogeny to its backbone tree; dropping tips or adding
tips to special types of phylogenetic trees; exporting a tree as an
XML file; converting a tree with a mapped character to a tree with
singleton nodes and one character state per edge; estimating a
phylogeny using the least squares method; simulating birth-death
trees under a range of conditions; rerooting trees; computing a
consensus tree under multiple methods, including via minimization
of the distance to other trees in the set; a wide range of
visualizations of trees; and a variety of other manipulations and
analyses that phylogenetic biologists may find useful for their
research.

skewers: Matrix comparison using the method of random skewers

Description

Usage

Arguments

Value

References