R/sumSpectra.Spectra.R

Defines functions sumSpectra.Spectra

#'
#' sumSpectra.Spectra
#'
#' @author `r .writeDoc_Authors("BH")`
#' @export
#' @noRd
#'
sumSpectra.Spectra <- function(spectra, ...) {
  args2 <- as.list(match.call())[-1]
  .chkArgs(mode = 11L)
  chkSpectra(spectra)

  # if (!("tol" %in% args2)) h <- check4Gaps(spectra$freq, silent = TRUE)
  # if ("tol" %in% args2) h <- check4Gaps(spectra$freq, silent = TRUE, ...)

  # Summarize a few things
  h <- check4Gaps(spectra$freq, silent = TRUE, ...)
  g <- sumGroups(spectra)
  res <- abs(median(diff(spectra$freq))) # consistent with method of determining tol above

  # Now print main summary to console

  cat("\n", spectra$desc, "\n\n")

  cat("\tThere are ", length(spectra$names), " spectra in this set.\n", sep = "")

  cat("\t", "The y-axis unit is ", as.character(spectra$unit[2]), ".\n\n", sep = "")

  cat("\tThe frequency scale runs from\n\t", spectra$freq[1], " to ",
    spectra$freq[length(spectra$freq)], " ", as.character(spectra$unit[1]), "\n",
    sep = ""
  )

  cat("\tThere are ", length(spectra$freq), " frequency values.\n",
    sep = ""
  )

  cat("\tThe frequency resolution is\n\t", res, " ", as.character(spectra$unit[1]), "/point.\n\n", sep = "")

  if (nrow(h) > 1) {
    cat("\tThis data set is not continuous\n\talong the frequency axis.\n")
    cat("\tHere are the data chunks:\n\n")
    print(h)
  }

  cat("\n")
  cat("\tThe spectra are divided into", length(levels(spectra$groups)), "groups:", "\n\n")
  print(g)

  # Check for extra data and report if found
  cat("\n")
  jnk <- .extraData(spectra)

  cat("\n*** Note: this is an S3 object\nof class 'Spectra'\n")
}

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ChemoSpecUtils documentation built on May 31, 2023, 5:56 p.m.