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# file MASS/R/sammon.R
# copyright (C) 1994-2005 W. N. Venables and B. D. Ripley
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 or 3 of the License
# (at your option).
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# A copy of the GNU General Public License is available at
# http://www.r-project.org/Licenses/
#
sammon <- function(d, y = cmdscale(d, k), k = 2, niter = 100, trace = TRUE,
magic = 0.2, tol = 1e-4)
{
call <- match.call()
if(any(is.infinite(d))) stop("Infs not allowed in 'd'")
if(any(is.na(d)) && missing(y))
stop("an initial configuration must be supplied if there are NAs in 'd'")
if(!is.matrix(y)) stop("'y' must be a matrix")
if(is.null(n <- attr(d, "Size"))) {
x <- as.matrix(d)
if((n <- nrow(x)) != ncol(x))
stop("distances must be result of 'dist' or a square matrix")
rn <- rownames(x)
} else {
x <- matrix(0, n, n)
x[row(x) > col(x)] <- d
x <- x + t(x)
rn <- attr(d, "Labels")
}
n <- as.integer(n)
if(is.na(n)) stop("invalid size")
ab <- x[row(x) < col(x)] <= 0
if (any(ab, na.rm = TRUE)) {
ab <- !is.na(ab) & ab
aa <- cbind(as.vector(row(x)), as.vector(col(x)))[row(x) < col(x),]
aa <- aa[ab, , drop=FALSE]
stop(gettextf("zero or negative distance between objects %d and %d",
aa[1,1], aa[1,2]), domain = NA)
}
nas <- is.na(x)
diag(nas) <- FALSE # diag never used
if(any(rowSums(!nas) < 2)) stop("not enough non-missing data")
if(any(dim(y) != c(n, k)) ) stop("invalid initial configuration")
if(any(!is.finite(y))) stop("initial configuration must be complete")
storage.mode(x) <- "double"
storage.mode(y) <- "double"
z <- .C(VR_sammon,
x = x,
n,
as.integer(k),
y = y,
as.integer(niter),
e = double(1),
as.integer(trace),
as.double(magic),
as.double(tol),
NAOK = TRUE)
points <- z$y
dimnames(points) <- list(rn, NULL)
list(points=points, stress=z$e, call=call)
}
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