Work with Hyperspectral Data, i.e. Spectra + Meta Information
(Spatial, Time, Concentration, ...)
c(
person("Claudia",   "Beleites",  role = c("aut","cre", "dtc"), email = "Claudia.Beleites@chemometrix.gmbh", comment = c(ORCID = "0000-0003-1626-154X")),
person("Valter",    "Sergo",     role = c("aut")),
person("Alois",     "Bonifacio", role = c("ctb", "dtc")),
person("Marcel",    "Dahms",     role = "ctb"),
person("Björn",     "Egert",     role = "ctb"),
person("Simon",     "Fuller",    role = "ctb"),
person("Vilmantas", "Gegzna",    role = "ctb"),
person("Rustam",    "Guliev",    role = "ctb"),
person("Bryan A.",  "Hanson",    role = "ctb"),
person("Michael",   "Hermes",    role = "ctb"),
person("Martin",    "Kammer",    role = "dtc"),
person("Roman",     "Kiselev",   role = "ctb"),
person("Sebastian", "Mellor",    role = "ctb")
)
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.
R.matlab, tripack, deldir, rgl, plotrix, sp, baseline,
compiler, inline, Rcpp, MASS, fastcluster, pls, mvtnorm,
digest, reshape, devtools, R.rsp, tibble
testthat, methods, utils, latticeExtra, lazyeval, dplyr
'validate.R' 'hyperspec-class.R' 'unittest.R' 'paste.row.R'
'Arith.R' 'Compare.R' 'DollarNames.R' 'Math.R' 'chk.hy.R'
'read.txt.wide.R' 'read.txt.long.R' 'options.R' 'wl.R'
'fileio.optional.R' 'NEW-functions.R' 'Summary.R' 'aggregate.R'
'all.equal.R' 'apply.R' 'as.data.frame.R' 'barbiturates.R'
'bind.R' 'call.list.R' 'chondro.R' 'colMeans.R' 'collapse.R'
'count_lines.R' 'cov.R' 'decomposition.R' 'deprecated.R'
'dim.R' 'dimnames.R' 'droplevels.R' 'empty.R' 'wl2i.R'
'extract.R' 'factor2num.R' 'fix_spc_colnames.R' 'flu.R'
'getbynames.R' 'regexps.R' 'guesswavelength.R' 'paracetamol.R'
'laser.R' 'hyperspec-package.R' 'initialize.R' 'labels.R'
'plotmap.R' 'levelplot.R' 'makeraster.R' 'map.identify.R'
'map.sel.poly.R' 'mark.dendrogram.R' 'mark.peak.R'
'matlab.palette.R' 'mean_sd.R' 'merge.R' 'mvtnorm.R'
'normalize01.R' 'orderwl.R' 'pearson.dist.R' 'plot.R' 'plotc.R'
'plotmat.R' 'plotspc.R' 'plotvoronoi.R' 'qplot.R'
'qplotmixmap.R' 'quantile.R' 'rbind.fill.R' 'read.ENVI.R'
'read.ENVI.HySpex.R' 'read.ENVI.Nicolet.R' 'read.txt.Witec.R'
'read.asc.Andor.R' 'read.asc.PerkinElmer.R' 'read.ini.R'
'read.jdx.R' 'read.mat.Cytospec.R' 'read.mat.Witec.R'
'read.spc.Kaiser.R' 'read.spc.R' 'read.spc.Shimadzu.R'
'read.spe.R' 'read.txt.Horiba.R' 'read.txt.Renishaw.R'
'read.txt.Shimadzu.R' 'replace.R' 'sample.R' 'scale.R' 'seq.R'
'show.R' 'spc.NA.approx.R' 'spc.bin.R' 'spc.fit.poly.R'
'spc.identify.R' 'spc.loess.R' 'spc.rubberband.R'
'spc.spline.R' 'split.R' 'split.string.R' 'splitdots.R'
'subset.R' 'sweep.R' 'trellis.factor.key.R' 'units.R'
'vandermonde.R' 'wc.R' 'wleval.R' 'write.txt.long.R'
'write.txt.wide.R' 'y-pastenames.R' 'zzz.R'
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]