R/plotFLIMresid.R

In TIMP: Fitting Separable Nonlinear Models in Spectroscopy and Microscopy

"plotFLIMresid" <- function(multimodel, multitheta, plotoptions, dind) {
  oldpar <- par(no.readonly = TRUE)
  on.exit(par(oldpar))
  if (dev.cur() != 1) {
    dev.new()
  }
  model <- multimodel@modellist[[1]]
  if (!identical(model@title, "")) {
    tit <- c(0, 0, 1, 0)
  } else {
    tit <- c(0, 0, 0, 0)
  }
  plotrow <- 2
  plotcol <- 2
  par(plotoptions@paropt)
  par(mfrow = c(plotcol, plotrow))

  nt <- model@nt
  nl <- model@nl
  x <- model@x
  x2 <- model@x2
  increasing_x2 <- model@x2[2] > model@x2[1]

  m <- multimodel@modellist
  t <- multitheta
  resultlist <- multimodel@fit@resultlist
  # require(fields)
  # require(gclus)
  tracemat <- matrix(0, nrow(model@inten), ncol(model@inten))
  residlist <- svdresidlist <- list()
  for (i in 1:length(m)) {
    residuals <- matrix(nrow = m[[i]]@nt, ncol = m[[i]]@nl)
    for (j in 1:length(resultlist[[i]]@resid)) {
      residuals[, j] <- resultlist[[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 <- x
  xpos[which(x <= 0)] <- NA
  if (increasing_x2) {
    limd <- max(max(residlist[[1]]), abs(min(residlist[[1]])))
    image.plot(xpos, 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 (nt > 1 && nl > 1) {
    matplot(x, svdresidlist[[1]]$left[, i],
      type = "l", main = "Left sing. vec. residuals ",
      ylab = "", log = "x", xlab = plotoptions@xlab, col = 1
    )
    if (length(m) > 1) {
      for (i in 2:length(m)) {
        matlines(m[[i]]@x, svdresidlist[[i]]$left,
          log = "x",
          type = "l", col = i
        )
      }
    }
  }
  ### get selected indices
  csave <- rep(-1, nrow(tracemat) * ncol(tracemat))
  csave[model@x2] <- 1
  dim(csave) <- dim(tracemat)
  c1 <- c2 <- TRUE
  for (i in 1:ncol(csave)) {
    if (c1) {
      if (1 %in% csave[, i]) {
        rowstart <- i
        c1 <- FALSE
      }
    }
    if (c2) {
      if (1 %in% csave[, ncol(csave) - (i - 1)]) {
        rowend <- ncol(csave) - (i - 1)
        c2 <- FALSE
      }
    }
  }
  c1 <- c2 <- TRUE
  for (i in 1:nrow(csave)) {
    if (c1) {
      if (1 %in% csave[i, ]) {
        colstart <- i
        c1 <- FALSE
      }
    }
    if (c2) {
      if (1 %in% csave[nrow(csave) - (i - 1), ]) {
        colend <- nrow(csave) - (i - 1)
        c2 <- FALSE
      }
    }
  }

  ############# plot 1 right singular vector as image


  resmat <- as.vector(tracemat)
  resmat[model@x2] <- as.vector(svdresidlist[[1]]$right[1, ])
  dim(resmat) <- dim(tracemat)
  image.plot(resmat[colstart:colend, rowstart:rowend],
    xlab = "",
    axes = FALSE, ylab = "",
    col = diverge_hcl(40,
      h = c(0, 120), c = 60, l = c(45, 90),
      power = 1.2
    ),
    main = "Right sing. vec. residuals"
  )

  svddatalist <- list()
  for (i in 1:length(m)) {
    svddatalist[[length(svddatalist) + 1]] <- doSVD(
      multimodel@data[[i]]@psi.df,
      2, 2
    )
  }
  if (nt > 1 && nl > 1) {
    plot(1:length(svddatalist[[1]]$values), log10(svddatalist[[1]]$values),
      ylab = "", xlab = "", main = "Sing. values data",
      type = "b"
    )
    if (length(m) > 1) {
      for (i in 2:length(m)) {
        lines(1:length(svddatalist[[i]]$values), log10(svddatalist[[i]]$values),
          type = "b", col = i
        )
      }
    }
  }
  if (length(plotoptions@title) != 0) {
    tit <- plotoptions@title
    if (plotoptions@addfilename) tit <- paste(tit, m[[i]]@datafile)
  } else {
    tit <- ""
    if (plotoptions@addfilename) tit <- paste(tit, m[[i]]@datafile)
  }
  mtext(tit, side = 3, outer = TRUE, line = 1)
  par(las = 2)

  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 = ""
    ))
  }
}