In order to reduce the spectral resolution and thus gain signal to noise ratio or to reduce the dimensionality of the spectral data set, the spectral resolution can be reduced.
spc_bin(spc, by = stop("reduction factor needed"), na.rm = TRUE, ...)
decides about the treatment of
0, the binning is done using
na.rm = FALSE,
1, the binning is done using
na.rm = TRUE,
2, the binning is done using
na.rm = FALSE, and resulting
mean(..., na.rm = TRUE). See section "Details".
hyperSpec object with
ceiling(nwl(spc)/by) data points per spectrum.
The mean of every
by data points in the spectra is calculated.
na.rm = TRUE always takes about twice as long as
na.rm = FALSE.
If the spectra matrix does not contain too many
na.rm = 2 is
na.rm = TRUE.