multi.mat: MAT for multiple variables

In palaeoSig: Significance Tests for Palaeoenvironmental Reconstructions

MAT for multiple variables

Description

MAT for many environmental variables simultaneously. More efficient than calculating them separately for each variable.

Usage

multi.mat(training.spp, envs, core.spp, noanalogues = 10, method = "sq-chord",
    run = "both")

Arguments

training.spp	Community data
envs	Environmental variables - or simulations
core.spp	Optional fossil data to make predictions for
noanalogues	Number of analogues to use
method	distance metric to use
run	Return LOO predictions or predictions for fossil data

Value

Matrix of predictions

Author(s)

Richard Telford [e-mail]

References

Telford, R. J. and Birks, H. J. B. (2009) Evaluation of transfer functions in spatially structured environments. Quaternary Science Reviews 28: 1309–1316. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.quascirev.2008.12.020")}

Examples

data(arctic.env)
data(arctic.pollen)

mMAT <- multi.mat(arctic.pollen, arctic.env[,9:67], noanalogues = 5)

palaeoSig documentation built on March 31, 2023, 9:34 p.m.