spc-bin: Wavelength Binning In order to reduce the spectral resolution...

In hyperSpec: Work with Hyperspectral Data, i.e. Spectra + Meta Information (Spatial, Time, Concentration, ...)

Wavelength Binning 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.

Description

The mean of every by data points in the spectra is calculated.

Usage

spc.bin(spc, by = stop("reduction factor needed"), na.rm = TRUE, ...)

Arguments

spc	the hyperSpec object
by	reduction factor
na.rm	decides about the treatment of NAs: if FALSE or 0, the binning is done using na.rm = FALSE if TRUE or 1, the binning is done using na.rm = TRUE if 2, the binning is done using na.rm = FALSE, and resulting NAs are corrected with mean(...{}, na.rm = TRUE).
...	ignored

Details

Using na.rm = TRUE always takes about twice as long as na.rm = FALSE.

If the spectra matrix does not contain too many NAs, na.rm = 2 is faster than na.rm = TRUE.

Value

A hyperSpec object with ceiling (nwl (spc) / by) data points per spectrum.

Author(s)

C. Beleites

Examples

 spc <- spc.bin (flu, 5)

 plot (flu[1,,425:475])
 plot (spc[1,,425:475], add = TRUE, col = "blue")

 nwl (flu)
 nwl (spc)

hyperSpec documentation built on Nov. 5, 2025, 6:32 p.m.