R/plotResids.R

In TIMP: Fitting Separable Nonlinear Models in Spectroscopy and Microscopy

"plotResids" <- function(multimodel, multitheta, plotoptions) {
  oldpar <- par(no.readonly = TRUE)
  on.exit(par(oldpar))
  if (dev.cur() != 1) {
    dev.new()
  }
  plotrow <- 2
  plotcol <- 2
  par(plotoptions@paropt)
  par(mfrow = c(plotrow, plotcol))
  par(
    mar = c(5.1, 7.1, 4.1, 2.), cex.lab = 1.6, cex.axis = 1.6, cex.main = 1.4,
    mgp = c(4, 1, 0)
  )
  ## RESIDUALS
  ## make a list of resid matrix
  m <- multimodel@modellist
  res <- multimodel@fit@resultlist
  model <- multimodel@modellist[[1]]
  increasing_x2 <- model@x2[2] > model@x2[1]
  residlist <- svdresidlist <- list()
  for (i in 1:length(m)) {
    residuals <- matrix(nrow = m[[i]]@nt, ncol = m[[i]]@nl)
    for (j in 1:length(res[[i]]@resid)) {
      if (m[[i]]@clpType == "x2") {
        residuals[, j] <- res[[i]]@resid[[j]]
      } else {
        residuals[j, ] <- res[[i]]@resid[[j]]
      }
    }
    svdresidlist[[length(svdresidlist) + 1]] <- doSVD(residuals, 2, 2)
    residlist[[length(residlist) + 1]] <- residuals
  }
  ## matplot function with "log" option is not compatible with
  ## neg. x values; do the below to avoid warning
  xpos <- model@x
  xpos[which(model@x <= 0)] <- NA
  if (increasing_x2) {
    limd <- max(max(residlist[[1]]), abs(min(residlist[[1]])))
    if (!(any(diff(model@x) <= 0) || any(diff(model@x2) <= 0))) {
      image(model@x, model@x2, residlist[[1]],
        xlab = plotoptions@xlab, ylab = plotoptions@ylab,
        main = "Residuals Dataset 1", zlim = c(-limd, limd),
        col = diverge_hcl(40,
          h = c(0, 120), c = 60, l = c(45, 90),
          power = 1.2
        )
      )
    }
  }
  if (model@nt > 1 && model@nl > 1) {
    matplot(xpos, svdresidlist[[1]]$left[, 1],
      type = "l",
      main = "1st left sing. vec. residuals ", log = "x", xlab =
        plotoptions@xlab, col = 1, ylab = ""
    )
    if (length(m) > 1) {
      for (i in 2:length(m)) {
        matlines(m[[i]]@x, svdresidlist[[i]]$left[, 1],
          log = "x", type = "l",
          col = i
        )
      }
    }
    matplot(model@x2, svdresidlist[[1]]$right[1, ],
      type = "l",
      main = "1st right sing. vec. residuals ", xlab = plotoptions@ylab,
      col = 1, ylab = ""
    )
    if (length(m) > 1) {
      for (i in 2:length(m)) {
        matlines(m[[i]]@x2, svdresidlist[[i]]$right[1, ], type = "l", col = i)
      }
    }
    plot(1:length(svdresidlist[[1]]$values),
      log10(svdresidlist[[1]]$values),
      main = "Sing. values residuals", type = "b", xlab = "", ylab = ""
    )
    if (length(m) > 1) {
      for (i in 2:length(m)) {
        lines(1:length(svdresidlist[[i]]$values),
          log10(svdresidlist[[i]]$values),
          xlab = "", ylab = "",
          type = "b", col = i
        )
      }
    }
  }
  ## MAKE PS
  if (dev.interactive() && length(plotoptions@makeps) != 0) {
    if (plotoptions@output == "pdf") {
      pdev <- pdf
    } else {
      pdev <- postscript
    }
    dev.print(
      device = pdev,
      file = paste(plotoptions@makeps, "_resids.",
        plotoptions@output,
        sep = ""
      )
    )
  }
}