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#  File src/library/stats/R/biplot.R
#  Part of the R package, https://www.R-project.org
#
#  Copyright (C) 1995-2012 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/

biplot <- function(x, ...) UseMethod("biplot")

biplot.default <-
    function(x, y, var.axes = TRUE, col, cex = rep(par("cex"), 2),
         xlabs = NULL, ylabs = NULL, expand=1, xlim = NULL, ylim = NULL,
         arrow.len = 0.1,
             main = NULL, sub = NULL, xlab = NULL, ylab = NULL, ...)
{
    n <- nrow(x)
    p <- nrow(y)
    if(missing(xlabs)) {
    xlabs <- dimnames(x)[[1L]]
    if(is.null(xlabs)) xlabs <- 1L:n
    }
    xlabs <- as.character(xlabs)
    dimnames(x) <- list(xlabs, dimnames(x)[[2L]])
    if(missing(ylabs)) {
    ylabs <- dimnames(y)[[1L]]
    if(is.null(ylabs)) ylabs <- paste("Var", 1L:p)
    }
    ylabs <- as.character(ylabs)
    dimnames(y) <- list(ylabs, dimnames(y)[[2L]])

    if(length(cex) == 1L) cex <- c(cex, cex)
    if(missing(col)) {
    col <- par("col")
    if (!is.numeric(col)) col <- match(col, palette(), nomatch=1L)
    col <- c(col, col + 1L)
    }
    else if(length(col) == 1L) col <- c(col, col)

    unsigned.range <- function(x)
        c(-abs(min(x, na.rm=TRUE)), abs(max(x, na.rm=TRUE)))
    rangx1 <- unsigned.range(x[, 1L])
    rangx2 <- unsigned.range(x[, 2L])
    rangy1 <- unsigned.range(y[, 1L])
    rangy2 <- unsigned.range(y[, 2L])

    if(missing(xlim) && missing(ylim))
    xlim <- ylim <- rangx1 <- rangx2 <- range(rangx1, rangx2)
    else if(missing(xlim)) xlim <- rangx1
    else if(missing(ylim)) ylim <- rangx2
    ratio <- max(rangy1/rangx1, rangy2/rangx2)/expand
    on.exit(par(op))
    op <- par(pty = "s")
    if(!is.null(main))
        op <- c(op, par(mar = par("mar")+c(0,0,1,0)))
    plot(x, type = "n", xlim = xlim, ylim = ylim, col = col[1L],
         xlab = xlab, ylab = ylab, sub = sub, main = main, ...)
    text(x, xlabs, cex = cex[1L], col = col[1L], ...)
    par(new = TRUE)
    dev.hold(); on.exit(dev.flush(), add = TRUE)
    plot(y, axes = FALSE, type = "n", xlim = xlim*ratio, ylim = ylim*ratio,
     xlab = "", ylab = "", col = col[1L], ...)
    axis(3, col = col[2L], ...)
    axis(4, col = col[2L], ...)
    box(col = col[1L])
    text(y, labels=ylabs, cex = cex[2L], col = col[2L], ...)
    if(var.axes)
    arrows(0, 0, y[,1L] * 0.8, y[,2L] * 0.8, col = col[2L], length=arrow.len)
    invisible()
}

biplot.princomp <- function(x, choices = 1L:2L, scale = 1, pc.biplot=FALSE, ...)
{
    if(length(choices) != 2L) stop("length of choices must be 2")
    if(!length(scores <- x$scores))
    stop(gettextf("object '%s' has no scores", deparse(substitute(x))),
             domain = NA)
    lam <- x$sdev[choices]
    if(is.null(n <- x$n.obs)) n <- 1
    lam <- lam * sqrt(n)
    if(scale < 0 || scale > 1) warning("'scale' is outside [0, 1]")
    if(scale != 0) lam <- lam^scale else lam <- 1
    if(pc.biplot) lam <- lam / sqrt(n)
    biplot.default(t(t(scores[, choices]) / lam),
           t(t(x$loadings[, choices]) * lam), ...)
    invisible()
}

biplot.prcomp <- function(x, choices = 1L:2L, scale = 1, pc.biplot=FALSE, ...)
{
    if(length(choices) != 2L) stop("length of choices must be 2")
    if(!length(scores <- x$x))
    stop(gettextf("object '%s' has no scores", deparse(substitute(x))),
             domain = NA)
    if(is.complex(scores))
        stop("biplots are not defined for complex PCA")
    lam <- x$sdev[choices]
    n <- NROW(scores)
    lam <- lam * sqrt(n)
    if(scale < 0 || scale > 1) warning("'scale' is outside [0, 1]")
    if(scale != 0) lam <- lam^scale else lam <- 1
    if(pc.biplot) lam <- lam / sqrt(n)
    biplot.default(t(t(scores[, choices]) / lam),
           t(t(x$rotation[, choices]) * lam), ...)
    invisible()
}