dissimilarities: Extract dissimilarity coefficients from models

In analogue: Analogue and Weighted Averaging Methods for Palaeoecology

Extract dissimilarity coefficients from models

Description

Extracts a vector of dissimilarity coefficients from an object for further analysis.

Usage

dissimilarities(object, ...)
dissim(object, ...)

## S3 method for class 'analog'
dissimilarities(object, which = c("train", "analogs"),
                 ...)

## S3 method for class 'mat'
dissimilarities(object, ...)

Arguments

object	an R object from which the dissimilarity values are to be extracted. Currently only for objects of class "analog".
which	character; which set of dissimilarities should be extracted. One of "train" or "analogs".
...	arguments passed to other methods.

Details

The function can be called using the much shorter name "dissim".

Value

A vector of dissimilarities.

Author(s)

Gavin L. Simpson

See Also

analog, plot.dissimilarities

Examples

## Imbrie and Kipp example
## load the example data
data(ImbrieKipp)
data(SumSST)
data(V12.122)

## merge training and test set on columns
dat <- join(ImbrieKipp, V12.122, verbose = TRUE)

## extract the merged data sets and convert to proportions
ImbrieKipp <- dat[[1]] / 100
V12.122 <- dat[[2]] / 100

## analog matching between SWAPImbrie & Kipp and V12.122 core
ik.analog <- analog(ImbrieKipp, V12.122, method = "chord")
ik.analog
summary(ik.analog)

## compare training set dissimilarities with normals
## and derive cut-offs
ik.dij <- dissim(ik.analog)
plot(ik.dij)

analogue documentation built on Sept. 30, 2024, 9:41 a.m.