spc.bin

decides about the treatment of <code>NA</code>s:
if <code>FALSE</code> or <code>0</code>, the binning is done using <code>na.rm = FALSE</code>
if <code>TRUE</code> or <code>1</code>, the binning is done using <code>na.rm = TRUE</code>
if <code>2</code>, the binning is done using <code>na.rm = FALSE</code>, and resulting <code>NA</code>s are
corrected with <code>mean(&#8230;{}, na.rm = TRUE)</code>.

na.rm

The mean of every <code>by</code> data points in the spectra is calculated.

manip

datagen

Comfortable ways to work with hyperspectral data sets.
I.e. spatially or time-resolved spectra, or spectra with any other kind
of information associated with each of the spectra. The spectra can be data
as obtained in XRF, UV/VIS, Fluorescence, AES, NIR, IR, Raman, NMR, MS,
etc. More generally, any data that is recorded over a discretized variable,
e.g. absorbance = f (wavelength), stored as a vector of absorbance values
for discrete wavelengths is suitable.

Claudia Beleites

hyperSpec

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

spc.bin function

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. — spc.bin

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.

spc.bin: 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

Usage

Arguments

Value

Details

Examples