spc.NA.linapprox

hyperSpec object with spectra matrix containing <code>NA</code>s

how many neighbour data points should be used to fit the line

neighbours

Replace <code>NA</code>s in the spectra matrix by linear interpolation.

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.

spc.NA.linapprox: Impute missing data points

Description

Usage

Arguments

Value