These data input functions are deprecated and they will be removed in the next release of hyperspcc package. Now functions in package (link) should be used as the alternatives.

Old description:

These functions allow to import Thermo Galactic/Grams .spc files.

  keys.hdr2data = FALSE,
  keys.log2data = FALSE,
  log.txt = TRUE,
  log.bin = FALSE,
  log.disk = FALSE,
  hdr = list(),
  no.object = FALSE



The complete file name of the .spc file.

keys.hdr2data, keys.log2data

character vectors with the names of parameters in the .spc file's log block (log2xxx) or header (hdr2xxx) that should go into the extra data (yyy2data) of the returned hyperSpec object.

All header fields specified in the .spc file format specification (see below) are imported and can be referred to by their de-capitalized names.


Should the text part of the .spc file's log block be read?

log.bin, log.disk

Should the normal and on-disk binary parts of the .spc file's log block be read? If so, they will be put as raw vectors into the hyperSpec object's log.


A list with fileheader fields that overwrite the settings of actual file's header.

Use with care, and look into the source code for detailed insight on the elements of this list.


If TRUE, a list with wavelengths, spectra, labels, log and data are returned instead of a hyperSpec object.

This parameter will likely be subject to change in future - use with care.


If the file contains multiple spectra with individual wavelength axes, read.spc returns a list of hyperSpec objects. Otherwise the result is a hyperSpec object.

read.spc.KaiserMap returns a hyperSpec object with data columns x, y, and z containing the stage position as recorded in the .spc files' log.


Only a restricted set of test files was available for development. Particularly, the w-planes feature could not be tested.

If you have .spc files that cannot be read with these function, don't hesitate to contact the package maintainer with your code patch or asking advice.


Source development kit and file format specification of .spc files.


C. Beleites


## get the sample .spc files from (see above)
if (FALSE) {
# single spectrum
spc <- read.spc("BENZENE.SPC")

# multi-spectra .spc file with common wavelength axis
spc <- read.spc("IG_MULTI.SPC")

# multi-spectra .spc file with individual wavelength axes
spc <- read.spc("BARBITUATES.SPC")
plot(spc[[1]], lines.args = list(type = "h"))