Description

Misc functions for spectral data

This package implements a number of R functions useful for pre-processing spectral data well as for selecting representaive samples/spectra. The functions included here are particularly useful in Near-Infrarred and Infrared Spectroscopy applications.

Details

Currently, the following preprocessing functions are available:

• resample

• resample2

• movav

• standardNormalVariate

• msc

• detrend

• blockScale

• blockNorm

• binning

• savitzkyGolay

• gapDer

• continuumRemoval

For the selection of representative samples/observations for calibrating spectral models the following functions ca be used:

• naes

• honigs

• shenkWest

• kenStone

• duplex

• puchwein

Other useful functions are also available:

• read_nircal

• readASD

• spliceCorrection

• cochranTest

Author(s)

Maintainer: Leonardo Ramirez-Lopez ramirez.lopez.leo@gmail.com

Authors:

• Antoine Stevens (ORCID)

• Leonardo Ramirez-Lopez (ORCID)

See Also

Useful links:

• https://github.com/l-ramirez-lopez/prospectr

• Report bugs at https://github.com/l-ramirez-lopez/prospectr/issues