colMeans,hyperSpec-method

colSums

colSums,hyperSpec-method

rowMeans,hyperSpec-method

rowSums,hyperSpec-method

further parameters to the base functions<p></p><p><code>na.rm</code> defaults to <code>TRUE</code> for hyperSpec objects.</p>

na.rm,...

labels for the intensity axis for loadings-like (col) statistics

label.spc

labels for the wavelength axis for scores-like (row) statistics

label.wavelength


hyperSpec objects can use the base functions <code><a rd-options="base" href="/link/colMeans?package=hyperSpec&version=0.98-20150304&to=base" data-mini-rdoc="base::colMeans">colMeans</a></code>,
<code><a rd-options="base" href="/link/colSums?package=hyperSpec&version=0.98-20150304&to=base" data-mini-rdoc="base::colSums">colSums</a></code>, <code><a rd-options="base" href="/link/rowMeans?package=hyperSpec&version=0.98-20150304&to=base" data-mini-rdoc="base::rowMeans">rowMeans</a></code> and <code><a rd-options="base" href="/link/rowSums?package=hyperSpec&version=0.98-20150304&to=base" data-mini-rdoc="base::rowSums">rowSums</a></code>.


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.

colSums: colSums, colMeans, rowSums and rowMeans functions for hyperSpec objects

Description

Usage

Arguments

See Also

Examples