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analogue (version 0.17-7)

summary.mat: Summarise Modern Analogue Technique models

Description

summary method for class "mat".

Usage

# S3 method for mat
summary(object, k = 10,
        digits = max(2, getOption("digits") - 4), ...)

Value

A list with the components below. The number of analogues used,

k is returned as attribute "k".

summ

a data.frame containing the model fits for training set samples. See notes below.

tbl

matrix of summary statistics for an un-weighted model.

tbl.W

matrix of summary statistics for a weighted model.

call

the matched function call

quantiles

the quantiles of the distribution of pairwise dissimilarities for the training set, for "probs = c(0.01, 0.02, 0.05, 0.1, 0.2)".

Arguments

object

an object of class "cma", usually the result of a call to cma.

k

numeric; maximum modern analogues to use to summarise model fits.

digits

numeric; the number of significant digits with which to format results.

...

arguments passed to or from other methods.

Author

Gavin L. Simpson

See Also

mat, summary.

Examples

Run this code
if (FALSE) {
## continue the RLGH example from ?join
example(join)

## fit the MAT model using the squared chord distance measure
swap.mat <- mat(swapdiat, swappH, method = "SQchord")
swap.mat

## model summary
summary(swap.mat)

## model summary - evaluating models using k = 1, ..., 20
## analogues instead of the default, 10.
summary(swap.mat, k = 20)
}

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