hyperSpec: spc-bin – R documentation

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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

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 `NA`s: 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 `NA`s 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

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

v0.100.0

GPL (>= 3)

Authors

Claudia Beleites [aut, cre, dtc] (<https://orcid.org/0000-0003-1626-154X>), Valter Sergo [aut], Alois Bonifacio [ctb, dtc], Marcel Dahms [ctb], Björn Egert [ctb], Simon Fuller [ctb], Vilmantas Gegzna [ctb], Rustam Guliev [ctb], Bryan A. Hanson [ctb], Michael Hermes [ctb], Martin Kammer [dtc], Roman Kiselev [ctb], Sebastian Mellor [ctb]

Initial release

2021-09-13