mat.jumprecon: Modified Jump Method (MJM) Application

Description Usage Arguments Value Author(s) References See Also

View source: R/mat.jumprecon.R

Description

Once the dissimilarity object, consisting of the n closest dissimilarity scores for each fossil sample, has been created, then either the MJM method can be applied to the reconstruction using the function mat.jumprecon

Usage

1
mat.jumprecon(dObj, modEnvCol, fossEnvCol, cutoff = 0, alpha = NULL, distance = -1, numanalogs = length(dObj$position[, 1]))

Arguments

dObj

List: any object created with mat.dissim

modEnvCol

Numeric: the column within the modern dataset that contains the environmental value undergoing reconstruction.

fossEnvCol

Numeric: the column within the fossil dataset that contains the environmental value undergoing reconstruction

cutoff

Numeric: the critical value of dissimilarity to be applied.

alpha

Numeric: the value of alpha determined by application of mat.jump

distance

Numeric: a geographic distance threshold (in meters) to be applied in the further exclusion of sites.

numanalogs

Numeric: the number of analogs to retain in the MJM.

Value

A datatable containing the results of the application of the MJM. Some values may be NA when they fail to meet the criterion.

Author(s)

Dr. M. Sawada

References

SAWADA, M. 2006. An open-source implementation of the modern analog technique (MAT) within the R computing environment. Computers and Geosciences, Vol 32(6):818-833, DOI information: 10.1016/j.cageo.2005.10.008

See Also

mat.plotjump, mat.jump,mat.dissim,


MATTOOLS documentation built on May 2, 2019, 2:11 a.m.