R/plotSpectra.R

Defines functions plotSpectra

Documented in plotSpectra

#'
#' Plot Spectra Object
#'
#' Plots the spectra stored in a \code{\link{Spectra}} object. Spectra may be plotted
#' offset or stacked.  The vertical scale is controlled by a combination of
#' several parameters.
#'
#' @param spectra An object of S3 class \code{\link{Spectra}}.
#'
#' @param which An integer vector specifying which spectra to plot, and the
#' order.
#'
#' @param yrange A vector giving the limits of the y axis desired, for instance
#' \code{c(0, 15)}.  This parameter depends upon the range of values in the
#' stored spectra and defaults to the height of the largest peak in the data
#' set.  Interacts with the next two arguments, as well as the number of
#' spectra to be plotted as given in \code{which}.  Trial and error is used to
#' adjust all these arguments to produce the desired plot.
#'
#' @param offset A number specifying the vertical offset between spectra if
#' more than one is plotted.  Set to 0.0 to overlay the spectra.
#'
#' @param amplify A number specifying an amplification factor to be applied to
#' all spectra.  Useful for magnifying spectra so small features show up
#' (though large peaks will then be clipped, unless you zoom on the x axis).
#'
#' @param lab.pos A number (in frequency units) giving the location of a label for each spectrum.
#' Generally, pick an area that is clear in all spectra plotted.  If no label
#' is desired, set \code{lab.pos = "none"}.
#'
#' @param showGrid Logical.  Places light gray vertical lines at each tick mark
#' if \code{TRUE}.
#'
#' @template param-legloc
#' @template param-graphics-dots
#' @template param-graphics-return
#' @template authors-BH-TG
#'
#' @seealso \code{\link{plotSpectraJS}} for the interactive version. See \code{\link{GraphicsOptions}}
#'          for more information about the graphics options. Additional documentation at
#'          \url{https://bryanhanson.github.io/ChemoSpec/}
#'
#' @keywords hplot
#'
#' @export plotSpectra
#'
#' @importFrom graphics grid lines text points plot
#' @importFrom ggplot2 aes annotate element_blank .pt
#' @importFrom ggplot2 geom_line ggplot labs coord_cartesian
#' @importFrom ggplot2 scale_color_manual theme theme_bw theme_classic ylim
#' @importFrom reshape2 melt
#' @importFrom plotly ggplotly
#'
#' @examples
#' # This example assumes the graphics output is set to ggplot2 (see ?GraphicsOptions).
#' library("ggplot2")
#' data(metMUD1)
#'
#' p1 <- plotSpectra(metMUD1, which = c(10, 11), yrange = c(0, 1.5),
#'   offset = 0.06, amplify = 10, lab.pos = 0.5)
#' p1 <- p1 + ggtitle("metMUD1 NMR Data")
#' p1
#'
#' # Add a legend at x, y coords
#' p2 <- plotSpectra(metMUD1, which = c(10, 11), yrange = c(0, 1.5),
#'   offset = 0.06, amplify = 10, lab.pos = 0.5, leg.loc = list(x = 0.8, y = 0.8))
#' p2 <- p2 + ggtitle("metMUD1 NMR Data")
#' p2
#'
plotSpectra <- function(spectra, which = c(1),
                        yrange = range(spectra$data),
                        offset = 0.0, amplify = 1.0,
                        lab.pos = mean(spectra$freq),
                        showGrid = TRUE, leg.loc = "none", ...) {
  .chkArgs(mode = 11L)
  chkSpectra(spectra)

  # Helper Function to calculate the label y position
  # spec: spectra data matrix with *samples in rows* (previously subsetted by which,
  #       & modified by offset & amplify)
  # pct: label position in % of y range
  pct <- 20.0
  .calcLabelYpos <- function(spec, pct) {
    ymin <- apply(spec, 1, min)
    ymax <- apply(spec, 1, max)
    ypos <- ymin + (pct * (ymax - ymin)) / 100
  }

  go <- chkGraphicsOpt()

  if (go == "base") {

    # Prepare the data needed for plotting, apply amplify & offset
    M <- spectra$data[which, , drop = FALSE]
    Mcols <- spectra$colors[which]
    Mnames <- spectra$names[which]
    freq <- spectra$freq
    count <- 0L
    for (i in 1:nrow(M)) {
      M[i, ] <- (M[i, ] + (offset * count)) * amplify
      count <- count + 1
    }

    # Set up and plot the first spectrum (type = "n")
    plot(freq, M[1, ],
      type = "n",
      xlab = spectra$unit[1], ylab = spectra$unit[2],
      ylim = yrange,
      frame.plot = FALSE, ...
    )

    # Place grid under all spectra
    if (showGrid) grid(ny = NA, lty = 1)

    # Add the spectra
    for (i in 1:nrow(M)) lines(freq, M[i, ], col = Mcols[i], ...)

    # Add sample names
    if (is.numeric(lab.pos)) {
      lab.x <- lab.pos
      lab.y <- .calcLabelYpos(M, pct)
      text(lab.x, lab.y, labels = Mnames, adj = c(0.5, 0.5), cex = 0.75)
    }

    # Prep legend location if legend requested
    if (all(leg.loc != "none")) {
      x.min <- min(spectra$freq)
      x.max <- max(spectra$freq)

      y.min <- yrange[1]
      y.max <- yrange[2]
      args <- as.list(match.call())[-1] # capture xlim if user passes it
      if ("xlim" %in% names(args)) {
        xl <- eval(args$xlim) # Converting 'args$xlim' to a usable form
        x.min <- xl[1]
        x.max <- xl[2]
      }
      leg.loc <- .prepLegendCoords(go, leg.loc, x.min, x.max, y.min, y.max)
      .addLegend(spectra, leg.loc, use.sym = FALSE, bty = "n")
    }
  }

  if ((go == "ggplot2") || (go == "plotly")) {
    value <- variable <- Frequency <- NULL # satisfy CRAN check engine
    .chkReqGraphicsPkgs("ggplot2")

    # Set up data frame to hold data to be plotted ready for melting
    df <- data.frame(spectra$freq)
    count <- 0
    for (i in which) {
      spec <- ((spectra$data[i, ]) + (count * offset)) * amplify
      df <- cbind(df, spec)
      count <- count + 1
    }
    names(df) <- c("Frequency", spectra$names[which])

    if (is.numeric(lab.pos)) {
      lab.x <- lab.pos # values in native data space
      lab.y <- .calcLabelYpos(t(as.matrix(df[, -1])), pct)
    }

    molten.data <- reshape2::melt(df, id = c("Frequency"))

    p <- ggplot(
      data = molten.data,
      aes(x = Frequency, y = value, group = variable, color = variable)) +
      geom_line() +
      scale_color_manual(name = "Key", values = spectra$colors[which]) +
      labs(x = spectra$unit[1], y = spectra$unit[2]) +
      coord_cartesian(ylim = yrange) +
      theme_bw() +
      theme(legend.position = "none") +
      theme(panel.grid.major.y = element_blank(), panel.grid.minor.y = element_blank())

    if (is.numeric(lab.pos)) {
      p <- p + annotate("text", x = lab.x, y = lab.y, label = spectra$names[which], size = 8/.pt)
    }

    if (!showGrid) {
      p <- p + theme(panel.grid.minor = element_blank(), panel.grid.major = element_blank())
    }

    if (go == "ggplot2") {
      p <- p + .ggAddLegend(spectra, use.sym = FALSE, leg.loc)
      return(p)
    } else {
      .chkReqGraphicsPkgs("plotly")
      p <- ggplotly(p, tooltip = c("Frequency"))
      return(p)
    }
  }
}
bryanhanson/ChemoSpec documentation built on Jan. 9, 2022, 6:41 p.m.