R/sumKinSpecEst.R

In TIMP: Fitting Separable Nonlinear Models in Spectroscopy and Microscopy

"sumKinSpecEst" <- function(listFits, addtitle = TRUE,
                            customtitle = "", preps = "", ylimlist = list(), kinspecerr = TRUE) {
  oldpar <- par(no.readonly = TRUE)
  on.exit(par(oldpar))

  if (dev.cur() != 1) {
    dev.new()
  }
  par(mfrow = c(length(listFits), 2))
  par(mai = c(0.5, 0.6, .5, 0.5))
  par(mgp = c(2, 1, 0), mar = c(1, 3, 1, 1))
  par(oma = c(1, 0, 4, 0))

  if (length(customtitle) != 0) {
    tit <- customtitle
  } else {
    tit <- "Summary of EADS for: "
  }
  max_x2 <- max(listFits[[1]]$currModel@modellist[[1]]@x2)
  min_x2 <- min(listFits[[1]]$currModel@modellist[[1]]@x2)
  limlist <- list()
  for (i in 1:length(listFits)) {
    limlist[[i]] <- vector()
  }
  if (length(ylimlist) > 0) {
    for (i in 1:length(ylimlist)) {
      limlist[[ylimlist[[i]]$ind]] <- ylimlist[[i]]$ylim
    }
  }
  for (i in 1:length(listFits)) {
    m <- listFits[[i]]$currModel@modellist
    for (j in 1:length(m)) {
      max_x2 <- max(m[[j]]@x2, max_x2)
      min_x2 <- min(m[[j]]@x2, min_x2)
    }
  }
  for (i in 1:length(listFits)) {
    resultlist <- listFits[[i]]$currModel@fit@resultlist
    multimodel <- listFits[[i]]$currModel
    m <- multimodel@modellist
    t <- listFits[[i]]$currTheta
    plotoptions <- listFits[[i]]$currModel@optlist[[1]]
    if (length(plotoptions@addest) == 0) {
      plotoptions@addest <- c("kinpar")
    }

    plotClp(multimodel, t, plotoptions,
      kinspecerr = kinspecerr,
      newplot = FALSE, min_clp = min_x2, max_clp = max_x2, ylim = limlist[[i]]
    )

    ## plotEst(multimodel, plotoptions)

    if (length(customtitle) == 0) {
      if (addtitle && i == 1) {
        tit <- paste(tit, "  ", plotoptions@title, sep = "")
      } else if (addtitle) {
        tit <- paste(tit, plotoptions@title, sep = ", ")
      }
    }
  }
  if (addtitle) {
    mtext(tit, side = 3, outer = TRUE, line = 1)
    par(las = 2)
  }
  if (dev.interactive() && length(plotoptions@makeps) != 0) {
    dev.print(device = postscript, file = paste(preps,
      "_kinspecsum.ps",
      sep = ""
    ))
  }
}