colorSpec is used to construct colorSpec objects.  is.colorSpec tests whether an object is a valid colorSpec object.
colorSpec( data, wavelength, quantity='auto', organization='auto' )
is.colorSpec(x)data is a vector, there is a single spectrum and the number
    of points in that spectrum is the length of the vector.
    In case data is a matrix, the spectra are stored in the columns,
    so the number of points in each spectrum is the number of rows.
    It is OK for the matrix to have only 0 or 1 column.
    The column names (if any) are taken as the spectrum names.
    If no names are given, or if there are duplicate names,
    then 'S1', 'S2', ... are used.
    Names can also be assigned after construction too; see specnames.
    Row names are ignored.
    Compare this function with ts.NROW(data).
    The sequence must be increasing.quantity of all spectra;
    see quantity for a list of possible values.  
    In case of 'auto', a guess is made from the column names.
    This guess can be overridden later.'auto', the organization is 'vector' or 'matrix'
    depending on data.
    Other possible organizations are 'df.col' or 'df.row'.
    The organization can be changed later, see organization
    for discussion of all 4 possible organizations.colorSpec returns a colorSpec object, or NULL in case of ERROR.is.colorSpec returns TRUE or FALSE.
           If FALSE it logs helpful reasons that x is invalid.vector, matrix, or data.frame.
  It is of S3 class 'colorSpec' with these extra attributes:
  
  wavelengthdf.col, then this is absent.
quantity quantity for a list of possible values.
metadata'path', 'header' and 'date' are already reserved; see metadata.
step.wlis.regular. 
specname organization is 'vector', in which case it is equal to the single character string name of the single spectrum.  See specnames.
sequenceproduct. It is a list of the colorSpec terms in this product.
calibrationcalibrate.
wavelength,
  quantity,
  metadata,
  step.wl,
  specnames,
  is.regular,
  coredata  
#  make a synthetic Gaussian bandpass filter
center = 600
wave   = 400:700
trans  = exp( -(wave-center)^2 / 20^2 )
filter.bp   = colorSpec( trans, wave, 'transmittance' )
organization( filter.bp )  # returns: [1] "vector"
specnames( filter.bp ) = "myfilter"
# and now plot it
plot( filter.bp )
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