make.anc

The response variable - typically a continuous trait.

The explanatory (discrete) variable used to define the hypothesised rate categories. Can be specified as a column number or column name.

A data frame containing (minimally) the x and y variables as columns with species names as rownames.

data

a logical specififying whether each rate category should have its own mean (<code>common.mean=FALSE</code>) or all categories should have the same mean (<code>common.mean=FALSE</code>). See Thomas et al. (2009) for a discussion on the impact of assumptions about mean on rate estimates..

common.mean

This is an internal function to generate the design matrix required to define different means for each hypothesised rate category.

Functions for fitting models of trait evolution
on phylogenies for continuous traits. The majority of functions
described in Thomas and Freckleton (2011) <doi:10.1111/j.2041-210X.2011.00132.x> 	and include functions that allow for tests of variation in the rates of trait 		evolution.

make.anc: Create design matrix (internal function)

Description

Usage

Arguments

Value

References