cmdscale_lanczos: Faster multi-dimensional scaling

Description Usage Arguments Value Author(s) References See Also

View source: R/poridge.R

Description

This is a modified version of cmdscale that uses the Lanczos procedure (slanczos) instead of eigen. Called by smooth.construct.pco.smooth.spec.

Usage

1
cmdscale_lanczos(d, k = 2, eig = FALSE, add = FALSE, x.ret = FALSE)

Arguments

d

a distance structure as returned by dist, or a full symmetric matrix of distances or dissimilarities.

k

the maximum dimension of the space which the data are to be represented in; must be in {1, 2, ..., n-1}.

eig

logical indicating whether eigenvalues should be returned.

add

logical indicating if the additive constant of Cailliez (1983) should be computed, and added to the non-diagonal dissimilarities such that the modified dissimilarities are Euclidean.

x.ret

indicates whether the doubly centred symmetric distance matrix should be returned.

Value

as cmdscale

Author(s)

David L Miller, based on code by R Core.

References

Cailliez, F. (1983). The analytical solution of the additive constant problem. Psychometrika, 48, 343-349.

See Also

smooth.construct.pco.smooth.spec


refund documentation built on July 1, 2021, 9:06 a.m.