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Transformation of a Distance Matrix for becoming Euclidean

lingoes.Rd

transforms a distance matrix in a Euclidean one.

Usage

lingoes(distmat, print = FALSE, tol = 1e-07, cor.zero = TRUE)

Arguments

distmat

an object of class dist

print

if TRUE, prints the eigenvalues of the matrix

tol

a tolerance threshold for zero

cor.zero

if TRUE, zero distances are not modified

Value

returns an object of class dist with a Euclidean distance

References

Lingoes, J.C. (1971) Some boundary conditions for a monotone analysis of symmetric matrices. Psychometrika, 36, 195–203.

Details

The function uses the smaller positive constant k which transforms the matrix of \(\sqrt{d_{ij}^2 + 2 \ast k}\) in an Euclidean one

Author

Daniel Chessel
Stéphane Dray stephane.dray@univ-lyon1.fr

Examples

data(capitales)
d0 <- capitales$dist
is.euclid(d0) # FALSE
#> [1] FALSE
d1 <- lingoes(d0, TRUE)
#> Lingoes constant = 2120982 
# Lingoes constant = 2120982
is.euclid(d1) # TRUE
#> [1] TRUE
plot(d0, d1)
x0 <- sort(unclass(d0))
lines(x0, sqrt(x0^2 + 2 * 2120982), lwd = 3)

 
is.euclid(sqrt(d0^2 + 2 * 2120981), tol = 1e-10) # FALSE
#> [1] FALSE
is.euclid(sqrt(d0^2 + 2 * 2120982), tol = 1e-10) # FALSE
#> [1] FALSE
is.euclid(sqrt(d0^2 + 2 * 2120983), tol = 1e-10) 
#> [1] TRUE
    # TRUE the smaller constant