R/matlinlogplot.R

In TIMP: Fitting Separable Nonlinear Models in Spectroscopy and Microscopy

"matlinlogplot" <-
  function(x, y, mu, alpha, type = "p", lty = 1:5, lwd = 1, pch = NULL, col = 1:6,
           cex = NULL, bg = NA, xlab = NULL, ylab = NULL, xlim = NULL,
           ylim = NULL, ..., add = FALSE, verbose = getOption("verbose")) {
    paste.ch <- function(chv) {
      paste("\"", chv, "\"",
        sep = "",
        collapse = " "
      )
    }
    str2vec <- function(string) {
      if (nchar(string, type = "c")[1] > 1) {
        strsplit(string[1], NULL)[[1]]
      } else {
        string
      }
    }
    xlabel <- if (!missing(x)) {
      deparse(substitute(x))
    }
    ylabel <- if (!missing(y)) {
      deparse(substitute(y))
    }
    if (missing(x)) {
      if (missing(y)) {
        stop("must specify at least one of 'x' and 'y'")
      } else {
        x <- 1:NROW(y)
      }
    } else if (missing(y)) {
      y <- x
      ylabel <- xlabel
      x <- 1:NROW(y)
      xlabel <- ""
    }
    kx <- ncol(x <- as.matrix(x))
    ky <- ncol(y <- as.matrix(y))
    n <- nrow(x)
    if (n != nrow(y)) {
      stop("'x' and 'y' must have same number of rows")
    }
    if (kx > 1 && ky > 1 && kx != ky) {
      stop("'x' and 'y' must have only 1 or the same number of columns")
    }
    if (kx == 1) {
      x <- matrix(x, nrow = n, ncol = ky)
    }
    if (ky == 1) {
      y <- matrix(y, nrow = n, ncol = kx)
    }
    k <- max(kx, ky)
    type <- str2vec(type)
    if (is.null(pch)) {
      pch <- c(paste(c(1:9, 0)), letters)[1:k]
    } else if (is.character(pch)) {
      pch <- str2vec(pch)
    }
    if (verbose) {
      cat("matplot: doing ", k, " plots with ", paste(" col= (",
        paste.ch(col), ")",
        sep = ""
      ), paste(" pch= (", paste.ch(pch),
        ")",
        sep = ""
      ), " ...\n\n")
    }
    ii <- match("log", names(xargs <- list(...)), nomatch = 0)
    log <- if (ii != 0) {
      xargs[[ii]]
    }
    xy <- xy.coords(x, y, xlabel, ylabel, log = log)
    xlab <- if (is.null(xlab)) {
      xy$xlab
    } else {
      xlab
    }
    ylab <- if (is.null(ylab)) {
      xy$ylab
    } else {
      ylab
    }
    xlim <- if (is.null(xlim)) {
      range(xy$x[is.finite(xy$x)])
    } else {
      xlim
    }
    ylim <- if (is.null(ylim)) {
      range(xy$y[is.finite(xy$y)])
    } else {
      ylim
    }
    if (!is.null(type) && length(type) < k) {
      type <- rep(type, length.out = k)
    }
    if (!is.null(lty) && length(lty) < k) {
      lty <- rep(lty, length.out = k)
    }
    if (!is.null(lwd) && length(lwd) < k) {
      lwd <- rep(lwd, length.out = k)
    }
    if (!is.null(pch) && length(pch) < k) {
      pch <- rep(pch, length.out = k)
    }
    if (!is.null(col) && length(col) < k) {
      col <- rep(col, length.out = k)
    }
    if (length(bg) < k) {
      bg <- rep(bg, length.out = k)
    }
    if (!is.null(cex) && length(cex) < k) {
      cex <- rep(cex, length.out = k)
    }
    ii <- 1:k
    if (!add) {
      ii <- ii[-1]
      linlogplot(x[, 1], y[, 1], mu, alpha,
        xlim = xlim, type = type[1],
        xlab = xlab, ylab = ylab, ylim = ylim, lty = lty[1],
        lwd = lwd[1], pch = pch[1], col = col[1], cex = cex[1],
        ...
      )
    }
    for (i in ii) {
      lines(linloglines(x[, i], mu, alpha), y[, i],
        type = type[i],
        lty = lty[i], lwd = lwd[i], pch = pch[i], col = col[i],
        cex = cex[i]
      )
    }
  }