Rev 68948 | Blame | Compare with Previous | Last modification | View Log | Download | RSS feed
# File src/library/stats/R/cmdscale.R# Part of the R package, https://www.R-project.org## Copyright (C) 1995-2017 The R Core Team## 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 of the License, or# (at your option) any later version.## 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# https://www.R-project.org/Licenses/cmdscale <- function (d, k = 2, eig = FALSE, add = FALSE, x.ret = FALSE,list. = eig || add || x.ret){if (anyNA(d))stop("NA values not allowed in 'd'")if(!list.) {if (eig) warning( "eig=TRUE is disregarded when list.=FALSE")if(x.ret) warning("x.ret=TRUE is disregarded when list.=FALSE")}if (is.null(n <- attr(d, "Size"))) {if(add) d <- as.matrix(d)x <- as.matrix(d^2)storage.mode(x) <- "double"if ((n <- nrow(x)) != ncol(x))stop("distances must be result of 'dist' or a square matrix")rn <- rownames(x)} else { # d is dist()-like objectrn <- attr(d, "Labels")x <- matrix(0, n, n) # must be doubleif (add) d0 <- xx[row(x) > col(x)] <- d^2x <- x + t(x)if (add) {d0[row(x) > col(x)] <- dd <- d0 + t(d0)}}n <- as.integer(n)## we need to handle nxn internally in dblcenif(is.na(n) || n > 46340)stop(gettextf("invalid value of %s", "'n'"), domain = NA)if((k <- as.integer(k)) > n - 1 || k < 1)stop("'k' must be in {1, 2, .. n - 1}")## NB: this alters argument x, which is OK as it is re-assigned.x <- .Call(C_DoubleCentre, x)if(add) { ## solve the additive constant problem## it is c* = largest eigenvalue of 2 x 2 (n x n) block matrix Z:i2 <- n + (i <- 1L:n)Z <- matrix(0, 2L*n, 2L*n)Z[cbind(i2,i)] <- -1Z[ i, i2] <- -xZ[i2, i2] <- .Call(C_DoubleCentre, 2*d)e <- eigen(Z, symmetric = FALSE, only.values = TRUE)$valuesadd.c <- max(Re(e))## and construct a new x[,] matrix:x <- matrix(double(n*n), n, n)non.diag <- row(d) != col(d)x[non.diag] <- (d[non.diag] + add.c)^2x <- .Call(C_DoubleCentre, x)}e <- eigen(-x/2, symmetric = TRUE)ev <- e$values[seq_len(k)]evec <- e$vectors[, seq_len(k), drop = FALSE]k1 <- sum(ev > 0)if(k1 < k) {warning(gettextf("only %d of the first %d eigenvalues are > 0", k1, k),domain = NA)evec <- evec[, ev > 0, drop = FALSE]ev <- ev[ev > 0]}points <- evec * rep(sqrt(ev), each=n)dimnames(points) <- list(rn, NULL)if (list.) {evalus <- e$values # Cox & Cox have sum up to n-1, thoughlist(points = points, eig = if(eig) evalus, x = if(x.ret) x,ac = if(add) add.c else 0,GOF = sum(ev)/c(sum(abs(evalus)), sum(pmax(evalus, 0))) )} else points}