transforms a distance matrix in a Euclidean one.
lingoes(distmat, print = FALSE, tol = 1e-07, cor.zero = TRUE)
returns an object of class dist
with a Euclidean distance
an object of class dist
if TRUE, prints the eigenvalues of the matrix
a tolerance threshold for zero
if TRUE, zero distances are not modified
Daniel Chessel
Stéphane Dray stephane.dray@univ-lyon1.fr
The function uses the smaller positive constant k which transforms the matrix of
Lingoes, J.C. (1971) Some boundary conditions for a monotone analysis of symmetric matrices. Psychometrika, 36, 195--203.
data(capitales)
d0 <- capitales$dist
is.euclid(d0) # FALSE
d1 <- lingoes(d0, TRUE)
# Lingoes constant = 2120982
is.euclid(d1) # 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
is.euclid(sqrt(d0^2 + 2 * 2120982), tol = 1e-10) # FALSE
is.euclid(sqrt(d0^2 + 2 * 2120983), tol = 1e-10)
# TRUE the smaller constant
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