MATTOOLS (version 1.1)

mat.jump: Optimize the alpha value

Description

The MATTOOLS function mat.jump optimizes the value of for a given number of analogs and modern dataset.

Usage

mat.jump(dObj, inModern, envColumn, cutoff = 0, calib = T)

Arguments

dObj
List: A Dissimilarity Object from the mat.dissim function.
inModern
Dataframe: The modern dataset with column(s) representing environmental values at each modern sample site.
envColumn
Numeric: The number of the column with the environmental values to be reconstructed.
cutoff
Numeric: The critical value of dissimilarity based on a priori knowledge or determined via mat.roc or mat.mc functions
calib
Logical: T for modern calibration (default). If F then it is assumed that a set of fossil assemblages are being tested.

Value

A LIST with the following components:
alpha
Numeric: optimal alpha value.
alphacor
Datatable: two columns, alpha and correlation.
...

Details

With a cutoff > 0, only pairwise complete observations are used.

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.jumprecon, mat.plotjump,mat.dissim,