Package: hyperSpec 0.200.0.9000

Claudia Beleites

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

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.

Authors:Claudia Beleites [aut, cre, dtc], Alois Bonifacio [ctb, dtc], Marcel Dahms [ctb], Björn Egert [ctb], Simon Fuller [ctb], Vilmantas Gegzna [aut], Rustam Guliev [ctb], Bryan A. Hanson [aut], Michael Hermes [ctb], Martin Kammer [dtc], Roman Kiselev [aut], Sebastian Mellor [ctb], Erick Oduniyi [aut], Valter Sergo [aut]

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hyperSpec.pdf |hyperSpec.html✨
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NEWS

# Install 'hyperSpec' in R:
install.packages('hyperSpec', repos = c('https://r-hyperspec.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/r-hyperspec/hyperspec/issues

Datasets:

    On CRAN:

    data-wranglinghyperspectralimaginginfrarednmrramanspectroscopyuv-visxrf

    8.17 score 13 stars 2 packages 228 scripts 1.4k downloads 24 mentions 267 exports 58 dependencies

    Last updated 6 months agofrom:65c2c2d562. Checks:ERROR: 7. Indexed: yes.

    TargetResultDate
    Doc / VignettesFAILNov 12 2024
    R-4.5-winERRORNov 12 2024
    R-4.5-linuxERRORNov 12 2024
    R-4.4-winERRORNov 12 2024
    R-4.4-macERRORNov 12 2024
    R-4.3-winERRORNov 12 2024
    R-4.3-macERRORNov 12 2024

    Exports:aggregateall_wlall.equalany_wlapplyas.data.frame.hyperSpecas.hyperSpecas.long.dfas.matrix.hyperSpecas.t.dfas.wide.dfassert_hyperSpecbindccalculate_offsetscbind.hyperSpecchk.hycol.seqcollapsecolMeanscolmix.rgbcolnamescolnames<-colSumscount_linescovcov_pooleddecompositiondeprecated_ggplot2deprecated_read_envideprecated_read_jdxdeprecated_read_matdeprecated_read_spcdeprecated_read_spedeprecated_read_txtdist_pearsondroplevelsemptyev2freqev2invcmev2nmev2ramanextract_numbersfaux_cellfitrasterfluNAformat_label_ispc_wlformat_label_wl_onlyfreq2evfreq2invcmfreq2nmfreq2ramangenerate_faux_cellgenerate_hy_mapgenerate_hy_profilegenerate_hy_spectragetbynamesguess.wavelengthhhy_attachhy_browse_homepagehy_get_optionhy_get_optionshy_list_available_hySpc_packageshy_list_installed_hySpc_packageshy_set_optionshy.getOptionhy.getOptionshy.setOptionshyperSpechySpc_deprecatedi2wlidentify_spcinvcm2evinvcm2freqinvcm2nminvcm2ramanis_hyperSpecisamplelabelslabels<-legendrightlevelplotlocate_spc_point_clickedlocate_spc_point_maxlocate_spc_point_minlocate_spc_point_parabola_maxmake.fn.exprmakerastermap.identifymap.sel.polymark_groups_in_dendrogrammark_peakmark.dendrogrammarkpeakmeanmean_pm_sdmean_sdmergemerge_datancolnm2evnm2freqnm2invcmnm2ramannormalize_01normalize.colrangenormalize.minmaxnormalize.nullnormalize.rangenormalize01nrownwlorderwlpalette_aloispalette_matlabpalette_matlab_darkpearson.distplotplot_cplot_mapplot_matrixplot_spcplot_voronoiplotcplotmapplotmatplotspcplotvoronoipooled.covprintqqmixlegendqmixtileqplotcqplotmapqplotmixmapqplotspcquantilequickdframan2evraman2freqraman2invcmraman2nmraster_fitraster_makeraw.split.nulrbind.fillrbind.fill.matrixrbind.hyperSpecread_txt_longread_txt_wideread.asc.Andorread.asc.PerkinElmerread.cytomatread.dat.Witecread.ENVIread.ENVI.HySpexread.ENVI.Nicoletread.iniread.jdxread.mat.Cytospecread.mat.Witecread.spcread.spc.Kaiserread.spc.KaiserLowHighread.spc.KaiserMapread.speread.txt.Horibaread.txt.Horiba.tread.txt.Horiba.xyread.txt.longread.txt.Renishawread.txt.Shimadzuread.txt.wideread.txt.Witecread.txt.Witec.Graphread.zip.Renishawrmmvnormrow.seqrowMeansrownamesrownames<-rowSumssamplescalescan.asc.Andorscan.dat.Witecscan.txt.Renishawscan.txt.Witecscan.txt.Witec.Graphscan.zip.Renishawsel.polyseq.hyperSpecspc_binspc_fit_polyspc_fit_poly_belowspc_loessspc_na_approxspc_rubberbandspc_smooth_splinespc.binspc.fit.polyspc.fit.poly.belowspc.identifyspc.label.defaultspc.label.wlonlyspc.loessspc.NA.approxspc.point.defaultspc.point.maxspc.point.minspc.point.sqrspc.rubberbandspc.smooth.splinespe.showcalpointssplitsplit.linesplit.stringstacked.offsetssubsetsummarysuppress_warningssweeptrellis.factor.keyvanderMondewcwlwl_convert_unitswl_convert_units.defaultwl_convert_units.hyperSpecwl_create_label_from_unitswl_ev2freqwl_ev2invcmwl_ev2nmwl_ev2ramanwl_evalwl_eval.hyperSpecwl_eval.numericwl_freq2evwl_freq2invcmwl_freq2nmwl_freq2ramanwl_invcm2evwl_invcm2freqwl_invcm2nmwl_invcm2ramanwl_nm2evwl_nm2freqwl_nm2invcmwl_nm2ramanwl_raman2evwl_raman2freqwl_raman2invcmwl_raman2nmwl_sortwl.evalwl.eval.hyperSpecwl.eval.numericwl.seqwl<-wl2iwlconvwrite_txt_longwrite_txt_widewrite.txt.longwrite.txt.wide

    Dependencies:briocallrclicolorspacecrayondeldirdescdiffobjdigestdplyrevaluatefansifarverfsgenericsggplot2gluegtablehySpc.testthatinterpisobandjpegjsonlitelabelinglatticelatticeExtralazyevallifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgbuildpkgconfigpkgloadpngpraiseprocessxpsR6RColorBrewerRcppRcppEigenrlangrprojrootscalestestthattibbletidyselectutf8vctrsviridisLitewaldowithrxml2