AD.dist: Anderson-Darling distance matrix for growth curves

In nsRFA: Non-Supervised Regional Frequency Analysis

Anderson-Darling distance matrix for growth curves

Description

Distance matrix for growth curves. Every element of the matrix is the Anderson-Darling statistic calculated between two series.

Usage

 AD.dist (x, cod, index=2)

Arguments

x	vector representing data from many samples defined with cod
cod	array that defines the data subdivision among sites
index	if index=1 samples are divided by their average value; if index=2 (default) samples are divided by their median value

Details

The Anderson-Darling statistic used here is the one defined in https://en.wikipedia.org/wiki/Anderson-Darling_test as A^2.

Value

AD.dist returns the distance matrix between growth-curves built with the Anderson-Darling statistic.

Note

For information on the package and the Author, and for all the references, see nsRFA.

See Also

traceWminim, roi.

Examples

data(hydroSIMN)

annualflows
summary(annualflows)
x <- annualflows["dato"][,]
cod <- annualflows["cod"][,]

# Ad.dist
AD.dist(x,cod)             # it takes some time

nsRFA documentation built on Nov. 13, 2023, 5:07 p.m.