Description Usage Arguments Value Author(s) References See Also
View source: R/mat.jumprecon.R
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
1 | mat.jumprecon(dObj, modEnvCol, fossEnvCol, cutoff = 0, alpha = NULL, distance = -1, numanalogs = length(dObj$position[, 1]))
|
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. |
A datatable containing the results of the application of the MJM. Some values may be NA when they fail to meet the criterion.
Dr. M. Sawada
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
mat.plotjump
, mat.jump
,mat.dissim
,
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