MATTOOLS (version 1.1)

mat.jumprecon: Modified Jump Method (MJM) Application

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

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.

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,