MAT for multiple variables — multi.mat • palaeoSig

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

If run = "both", a list with two elements:

jack: Matrix of leave-one-out cross-validation predictions for the calibration set
core: Matrix of predictions for the fossil data

Otherwise, one of these matrices is returned.

References

Telford, R. J. and Birks, H. J. B. (2009) Evaluation of transfer functions in spatially structured environments. Quaternary Science Reviews 28: 1309–1316. doi:10.1016/j.quascirev.2008.12.020

Author

Richard Telford Richard.Telford@bio.uib.no

Examples

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

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