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#' Multiply two spectra, even if the wavelengths values differ
#'
#' The wavelength vectors of the two spectra are merged, and the missing
#' spectral values are calculated by interpolation. After this, the two spectral
#' values at each wavelength are added.
#'
#' @param w.length1 numeric vector of wavelength (nm).
#' @param w.length2 numeric vector of wavelength (nm).
#' @param s.irrad1 a numeric vector of spectral values.
#' @param s.irrad2 a numeric vector of spectral values.
#' @param trim a character string with value "union" or "intersection".
#' @param na.rm a logical value, if TRUE, not the default, NAs in the input are
#' replaced with zeros.
#'
#' @return a dataframe with two numeric variables \item{w.length}{A numeric
#' vector with the wavelengths (nm) obtained by "fusing" w.length1 and
#' w.length2. w.length contains all the unique vales, sorted in ascending
#' order.} \item{s.irrad}{A numeric vector with the sum of the two spectral
#' values at each wavelength.}
#' @details If trim=="union" spectral values are calculated for the whole range
#' of wavelengths covered by at least one of the input spectra, and missing
#' values are set in each input spectrum to zero before addition. If
#' trim=="intersection" then the range of wavelengths covered by both input
#' spectra is returned, and the non-overlapping regions discarded. If
#' w.length2==NULL, it is assumed that both spectra are measured at the same
#' wavelengths, and a simple addition is used, ensuring fast calculation.
#' @export
#'
#' @examples
#'
#' head(sun.data)
#' square.sun.data <-
#' with(sun.data, prod_spectra(w.length, w.length, s.e.irrad, s.e.irrad))
#' head(square.sun.data)
#' tail(square.sun.data)
#'
#' @family low-level functions operating on numeric vectors.
#'
prod_spectra <-
function(w.length1, w.length2 = NULL,
s.irrad1, s.irrad2,
trim = "union", na.rm = FALSE) {
return(oper_spectra(w.length1 = w.length1, w.length2 = w.length2,
s.irrad1 = s.irrad1, s.irrad2 = s.irrad2,
trim = "union", na.rm = FALSE,
bin.oper = `*`))
}
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