Package: Cardinal 3.9.0

Kylie Ariel Bemis

Cardinal: A mass spectrometry imaging toolbox for statistical analysis

Implements statistical & computational tools for analyzing mass spectrometry imaging datasets, including methods for efficient pre-processing, spatial segmentation, and classification.

Authors:Kylie Ariel Bemis [aut, cre]

Cardinal_3.9.0.tar.gz
Cardinal_3.9.0.zip(r-4.5)Cardinal_3.9.0.zip(r-4.4)Cardinal_3.7.5.zip(r-4.3)
Cardinal_3.9.0.tgz(r-4.4-any)Cardinal_3.7.5.tgz(r-4.3-any)
Cardinal_3.9.0.tar.gz(r-4.5-noble)Cardinal_3.9.0.tar.gz(r-4.4-noble)
Cardinal_3.9.0.tgz(r-4.4-emscripten)Cardinal_3.7.5.tgz(r-4.3-emscripten)
Cardinal.pdf |Cardinal.html
Cardinal/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/kuwisdelu/cardinal/issues

On BioConductor:Cardinal-3.9.0(bioc 3.21)Cardinal-3.8.0(bioc 3.20)

softwareinfrastructureproteomicslipidomicsmassspectrometryimagingmassspectrometryimmunooncologynormalizationclusteringclassificationregression

10.26 score 42 stars 187 scripts 504 downloads 19 mentions 258 exports 57 dependencies

Last updated 22 days agofrom:8b2a58caa6. Checks:OK: 3 WARNING: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-winWARNINGNov 13 2024
R-4.5-linuxWARNINGNov 13 2024
R-4.4-winWARNINGNov 13 2024
R-4.4-macWARNINGNov 13 2024
R-4.3-winOKOct 15 2024
R-4.3-macOKOct 15 2024

Exports:abstractaddProcessingaddShapeaggregatealpha.colorsannotatedDataFrameFromas_facetsas_layersas.arrayas.data.frameas.matrixbaselineReductionbaselineReduction<-binbw.colorscbindcentroidedcentroided<-coefcoercecol.mapcolMeanscolnamescolnames<-colocalizedcolor.mapcolStatscolSumscombineconvertMSImagingArrays2ExperimentconvertMSImagingExperiment2Arrayscoordcoord<-coordNamescoordNames<-coregistercpalcpalscrossValidatecvApplydarkmodedimsdiscrete.colorsdivergent.colorsdomaindomain<-dpaldpalsdropkeysestimateDomainestimateReferenceMzestimateReferencePeaksexperimentDataexperimentData<-expinfofDatafData<-featureApplyfeatureDatafeatureData<-featureNamesfeatureNames<-featuresfetchfindNeighborsfittedflashfvarLabelsfvarLabels<-fvarMetadatafvarMetadata<-getCardinalBPPARAMgetCardinalChunksizegetCardinalLoggergetCardinalNChunksgetCardinalNumBlocksgetCardinalParallelgetCardinalSerializegetCardinalVerbosegradient.colorsgriddedgridded<-heightheight<-iDataiData<-imageimage3DimageDataimageData<-initializeinstrumentModelinstrumentVendorintensityintensity.colorsintensity<-intensityDataintensityData<-ionizationTypeis3DisCentroidedjet.colorskeyskeys<-lightmodelineScanDirectionlogLikmakeFactormassAnalyzerTypeMassDataFramematrixApplicationmeansTestmodelDatamodelData<-msiInfoMSImagingArraysMSImagingExperimentmzmz<-mzAlignmzBinmzDatamzData<-mzFilterNMFnormalizationnormalization<-normalizenotesnotes<-nrunOPLSotherInfoPCApDatapData<-peakAlignpeakBinpeakDatapeakData<-peakFilterpeakPickpeakPickingpeakPicking<-peakProcesspeakspeaks<-phenoDataphenoData<-pixelApplypixelDatapixelData<-pixelNamespixelNames<-pixelspixelSizeplotPLSPositionDataFramepredictpreprocpreproc<-presetImageDefprocessprotocolDataprotocolData<-pubMedIdspubMedIds<-rbindreadAnalyzereadImzMLreadMSIDatarecalibratereduceBaselineresetresidualsresolutionresolution<-resultDataresultData<-resultNamesresultNames<-ResultsListrisk.colorsrowMeansrownamesrownames<-rowStatsrowSumsrunrun<-runNamesrunNames<-sampleNamessampleNames<-samplessaveCardinalLogscanDirectionscanPatternscanPolarityscanTypesegmentationTestselectROIsetCardinalBPPARAMsetCardinalChunksizesetCardinalLoggersetCardinalNChunkssetCardinalNumBlockssetCardinalParallelsetCardinalSerializesetCardinalVerbosesimulateImagesimulateSpectrasimulateSpectrumslicesliceImagesmoothsmoothingsmoothing<-smoothSignalSnowfastParamspatialApplyspatialDGMMspatialDistsspatialFastmapspatialKMeansSpatialResultsspatialShrunkenCentroidsspatialWeightsspectraspectra<-SpectraArraysSpectralImagingArraysSpectralImagingExperimentspectrapplyspectrumRepresentationspectrumRepresentation<-storageModestorageMode<-subsetsubsetFeaturessubsetPixelssummarizeFeaturessummarizePixelstopFeaturesvarLabelsvarLabels<-varMetadatavarMetadata<-vizi_enginevizi_parvizi_stylewidthwidth<-writeAnalyzewriteImzMLwriteMSIDataXDataFrame

Dependencies:abindbase64encBHBiobaseBiocGenericsBiocParallelbitopsbslibcachemCardinalIOclicodetoolscpp11digestEBImageevaluatefastmapfftwtoolsfontawesomeformatRfsfutile.loggerfutile.optionsgenericsgluehighrhtmltoolshtmlwidgetsirlbajpegjquerylibjsonliteknitrlambda.rlatticelifecyclelocfitMatrixmattermemoisemimenlmeontologyIndexpngProtGenericsR6rappdirsRCurlrlangrmarkdownS4Vectorssasssnowtifftinytexxfunyaml

Cardinal 3: User guide for mass spectrometry imaging analysis

Rendered fromCardinal3-guide.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2024-10-26
Started: 2024-04-09

Cardinal 3: Statistical methods for mass spectrometry imaging

Rendered fromCardinal3-stats.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2024-09-08
Started: 2024-04-09

Readme and manuals

Help Manual

Help pageTopics
Mass spectrometry imaging toolsCardinal-package Cardinal getCardinalBPPARAM getCardinalChunksize getCardinalLogger getCardinalNChunks getCardinalParallel getCardinalSerialize getCardinalVerbose saveCardinalLog setCardinalBPPARAM setCardinalChunksize setCardinalLogger setCardinalNChunks setCardinalParallel setCardinalSerialize setCardinalVerbose vizi_engine vizi_par vizi_style
Bin spectrabin bin,MSImagingArrays-method bin,MSImagingExperiment-method bin,SpectralImagingArrays-method bin,SpectralImagingExperiment-method
Colocalized featurescolocalized colocalized,MSImagingExperiment-method colocalized,SpatialDGMM-method colocalized,SpectralImagingExperiment-method coregister
Deprecated and defunct objects in Cardinalaggregate,SpectralImagingExperiment-method alpha.colors baselineReduction baselineReduction<- bw.colors class:Hashmat class:IAnnotatedDataFrame class:ImageData class:iSet class:MIAPE-Imaging class:MSImageData class:MSImageProcess class:MSImageSet class:ResultSet class:SImageData class:SImageSet col.map color.map cvApply darkmode deprecated discrete.colors divergent.colors featureApply featureApply,SpectralImagingExperiment-method getCardinalNumBlocks gradient.colors gridded gridded<- Hashmat Hashmat-class height height<- IAnnotatedDataFrame IAnnotatedDataFrame-class iData iData,ANY-method iData<- iData<-,ANY-method ImageData ImageData-class instrumentVendor intensity.colors intensityData intensityData<- ionizationType is3D iSet iSet-class jet.colors lightmode lineScanDirection massAnalyzerType matrixApplication MIAPE-Imaging MIAPE-Imaging-class msiInfo MSImageData MSImageData-class MSImageProcess MSImageProcess-class MSImageSet MSImageSet-class mzAlign mzAlign,MSImagingExperiment,missing-method mzAlign,MSImagingExperiment,numeric-method mzBin mzBin,MSImagingExperiment,missing-method mzBin,MSImagingExperiment,numeric-method mzData mzData<- mzFilter mzFilter,MSImagingExperiment-method normalization normalization<- peakBin peakData peakData<- peakFilter peakFilter,MSImagingExperiment-method peakPicking peakPicking<- pixelApply pixelApply,SpectralImagingExperiment-method pixelSize resolution resolution<- resultData resultData<- resultNames resultNames<- ResultSet ResultSet-class risk.colors scanDirection scanPattern scanPolarity scanType setCardinalNumBlocks SImageData SImageData-class SImageSet SImageSet-class simulateSpectrum slice smoothing smoothing<- smoothSignal smoothSignal,SpectralImagingExperiment-method spatialApply spatialApply,SpectralImagingExperiment-method spectrumRepresentation spectrumRepresentation<-
Estimate shared domainestimateDomain estimateReferenceMz estimateReferencePeaks
Find feature indicesfeatures features,MSImagingExperiment-method features,SpectralImagingExperiment-method
Find spatial neighborsfindNeighbors findNeighbors,ANY-method findNeighbors,PositionDataFrame-method findNeighbors,SpectralImagingData-method
MassDataFrame: Extended data frame with key columnsclass:MassDataFrame coerce,DFrame,MassDataFrame-method MassDataFrame MassDataFrame-class mz,MassDataFrame-method mz<-,MassDataFrame-method [,MassDataFrame,ANY,ANY,ANY-method
Linear model-based testing for summarized imaging experimentsclass:MeansTest MeansTest meansTest meansTest,ANY-method meansTest,SpatialDGMM-method meansTest,SpectralImagingExperiment-method MeansTest-class plot,MeansTest,missing-method segmentationTest topFeatures,MeansTest-method
MSImagingArrays: MS imaging data with arbitrary m/z valuesc,MSImagingArrays-method class:MSImagingArrays intensity,MSImagingArrays-method intensity<-,MSImagingArrays-method MSImagingArrays MSImagingArrays-class mz,MSImagingArrays-method mz<-,MSImagingArrays-method show,MSImagingArrays-method
MSImagingExperiment: MS imaging data with shared m/z valuescbind,MSImagingExperiment-method centroided,MSImagingExperiment_OR_Arrays-method centroided<-,MSImagingExperiment_OR_Arrays-method class:MSImagingExperiment coerce,MSImageSet,MSImagingExperiment-method experimentData,MSImagingExperiment_OR_Arrays-method experimentData<-,MSImagingExperiment_OR_Arrays,ANY-method intensity,MSImagingExperiment-method intensity<-,MSImagingExperiment-method isCentroided,MSImagingExperiment_OR_Arrays-method MSImagingExperiment MSImagingExperiment-class mz,missing-method mz,MSImagingExperiment-method mz<-,MSImagingExperiment-method rbind,MSImagingExperiment-method show,MSImagingExperiment-method
Normalize spectranormalize normalize,MSImagingExperiment_OR_Arrays-method normalize,SpectralImagingData-method
Align peaks across spectrapeakAlign peakAlign,MSImagingArrays-method peakAlign,MSImagingExperiment-method peakAlign,SpectralImagingArrays-method peakAlign,SpectralImagingExperiment-method
Peak pick spectrapeakPick peakPick,MSImagingArrays-method peakPick,MSImagingExperiment-method peakPick,SpectralImagingData-method
Process peaks in mass spectrapeakProcess peakProcess,MSImagingExperiment_OR_Arrays-method
Find pixel indicespixels pixels,SpectralImagingArrays-method pixels,SpectralImagingData-method pixels,SpectralImagingExperiment-method
Plot images from a spectral imaging datasetimage image,MSImagingExperiment-method image,PositionDataFrame-method image,SpectralImagingExperiment-method image3D image3D,MSImagingExperiment-method plot-image
Plot spectra from a spectral imaging datasetplot plot,MSImagingArrays,formula-method plot,MSImagingArrays,missing-method plot,MSImagingArrays,numeric-method plot,MSImagingExperiment,character-method plot,MSImagingExperiment,formula-method plot,MSImagingExperiment,missing-method plot,MSImagingExperiment,numeric-method plot,SpectralImagingArrays,formula-method plot,SpectralImagingArrays,missing-method plot,SpectralImagingArrays,numeric-method plot,SpectralImagingExperiment,character-method plot,SpectralImagingExperiment,formula-method plot,SpectralImagingExperiment,missing-method plot,SpectralImagingExperiment,numeric-method plot,XDataFrame,character-method plot,XDataFrame,formula-method plot,XDataFrame,missing-method plot-spectra
PositionDataFrame: Extended data frame with key columnsclass:PositionDataFrame coerce,DFrame,PositionDataFrame-method coord coord,PositionDataFrame-method coord<- coord<-,PositionDataFrame-method coordNames coordNames,PositionDataFrame-method coordNames<- coordNames<-,PositionDataFrame-method is3D,PositionDataFrame-method nrun,PositionDataFrame-method PositionDataFrame PositionDataFrame-class run run,PositionDataFrame-method run<- run<-,PositionDataFrame-method runNames runNames,PositionDataFrame-method runNames<- runNames<-,PositionDataFrame-method [,PositionDataFrame,ANY,ANY,ANY-method
Apply queued processing to spectraaddProcessing,SpectralImagingData-method process process,MSImagingArrays-method process,MSImagingExperiment-method process,SpectralImagingArrays-method process,SpectralImagingExperiment-method reset
Read mass spectrometry imaging data filescoerce,MSImagingArrays,MSImagingExperiment-method coerce,MSImagingExperiment,MSImagingArrays-method convertMSImagingArrays2Experiment convertMSImagingExperiment2Arrays readAnalyze readImzML readMSIData
Recalibrate spectrarecalibrate recalibrate,MSImagingExperiment_OR_Arrays-method recalibrate,SpectralImagingData-method
Reduce baselines in spectrareduceBaseline reduceBaseline,SpectralImagingData-method
Re-exported objects from Cardinalas_facets as_layers cpal cpals dpal dpals reexports SnowfastParam
ResultsList: List of modeling resultsclass:ResultsList fitted,ResultsList-method image,ResultsList-method plot,ResultsList,ANY-method plot,ResultsList,missing-method predict,ResultsList-method ResultsList ResultsList-class show,ResultsList-method topFeatures,ResultsList-method
Select regions-of-interest in an imagemakeFactor selectROI selectROI,SpectralImagingExperiment-method
Simulate a mass spectrum or MS imaging experimentaddShape presetImageDef simulateImage simulateSpectra
Slice an imagesliceImage
Smooth spectrasmooth smooth,SpectralImagingData-method
Cross-validation for spectral imaging dataclass:SpatialCV crossValidate fitted,SpatialCV-method image,SpatialCV-method SpatialCV SpatialCV-class
Spatially-aware Dirichlet Gaussian mixture modelclass:SpatialDGMM image,SpatialDGMM-method logLik,SpatialDGMM-method plot,SpatialDGMM,missing-method SpatialDGMM spatialDGMM spatialDGMM,ANY-method spatialDGMM,SpectralImagingExperiment-method SpatialDGMM-class
Calculate spatially-smoothed distancesspatialDists spatialDists,ANY-method spatialDists,PositionDataFrame-method spatialDists,SpectralImagingExperiment-method
Spatially-aware FastMap projectionclass:SpatialFastmap image,SpatialFastmap-method plot,SpatialFastmap,missing-method predict,SpatialFastmap-method SpatialFastmap spatialFastmap spatialFastmap,ANY-method spatialFastmap,SpectralImagingExperiment-method SpatialFastmap-class
Spatially-aware K-means clusteringclass:SpatialKMeans image,SpatialKMeans-method plot,SpatialKMeans,missing-method SpatialKMeans spatialKMeans spatialKMeans,ANY-method spatialKMeans,SpectralImagingExperiment-method SpatialKMeans-class topFeatures,SpatialKMeans-method
Non-negative matrix factorizationclass:SpatialNMF image,SpatialNMF-method NMF NMF,ANY-method NMF,SpectralImagingExperiment-method plot,SpatialNMF,missing-method predict,SpatialNMF-method SpatialNMF SpatialNMF-class
Principal components analysisclass:SpatialPCA image,SpatialPCA-method PCA PCA,ANY-method PCA,SpectralImagingExperiment-method plot,SpatialPCA,missing-method predict,SpatialPCA-method SpatialPCA SpatialPCA-class
Partial least squares (projection to latent structures)class:SpatialOPLS class:SpatialPLS coef,SpatialOPLS-method fitted,SpatialOPLS-method fitted,SpatialPLS-method image,SpatialOPLS-method image,SpatialPLS-method OPLS OPLS,ANY-method OPLS,SpectralImagingExperiment-method plot,SpatialOPLS,missing-method plot,SpatialPLS,missing-method PLS PLS,ANY-method PLS,SpectralImagingExperiment-method predict,SpatialOPLS-method predict,SpatialPLS-method residuals,SpatialOPLS-method SpatialOPLS SpatialOPLS-class SpatialPLS SpatialPLS-class topFeatures,SpatialOPLS-method topFeatures,SpatialPLS-method
SpatialResults: Modeling results with spatial metadata$,SpatialResults-method class:SpatialResults coord,SpatialResults-method coord<-,SpatialResults-method coordNames,SpatialResults-method coordNames<-,SpatialResults-method fData,SpatialResults-method fData<-,SpatialResults,ANY-method featureData,SpatialResults-method featureData<-,SpatialResults,ANY-method featureNames,SpatialResults-method featureNames<-,SpatialResults-method fitted,SpatialResults-method image,SpatialResults-method length,SpatialResults-method modelData modelData,SpatialResults-method modelData<- modelData<-,SpatialResults-method names,SpatialResults-method nrun,SpatialResults-method pData,SpatialResults-method pData<-,SpatialResults,ANY-method pixelData,SpatialResults-method pixelData<-,SpatialResults-method pixelNames,SpatialResults-method pixelNames<-,SpatialResults-method plot,SpatialResults,ANY-method run,SpatialResults-method run<-,SpatialResults-method runNames,SpatialResults-method runNames<-,SpatialResults-method show,SpatialResults-method SpatialResults SpatialResults-class [[,SpatialResults-method
Spatially-aware shrunken centroid clustering and classificationclass:SpatialShrunkenCentroids fitted,SpatialShrunkenCentroids-method image,SpatialShrunkenCentroids-method logLik,SpatialShrunkenCentroids-method plot,SpatialShrunkenCentroids,missing-method predict,SpatialShrunkenCentroids-method SpatialShrunkenCentroids spatialShrunkenCentroids spatialShrunkenCentroids,ANY,ANY-method spatialShrunkenCentroids,ANY,missing-method spatialShrunkenCentroids,SpectralImagingExperiment,ANY-method spatialShrunkenCentroids,SpectralImagingExperiment,missing-method SpatialShrunkenCentroids-class topFeatures topFeatures,SpatialShrunkenCentroids-method
Calculate spatial weightsspatialWeights spatialWeights,ANY-method spatialWeights,PositionDataFrame-method spatialWeights,SpectralImagingExperiment-method
SpectraArrays: List of spectra arrays$,SpectraArrays-method $<-,SpectraArrays-method c,SpectraArrays-method cbind,SpectraArrays-method class:SpectraArrays coerce,list,SpectraArrays-method coerce,SimpleList,SpectraArrays-method coerce,SpectraArrays,list-method coerce,SpectraArrays,SimpleList-method combine,SpectraArrays,ANY-method dim,SpectraArrays-method fetch,SpectraArrays-method flash,SpectraArrays-method length,SpectraArrays-method names,SpectraArrays-method names<-,SpectraArrays-method rbind,SpectraArrays-method show,SpectraArrays-method SpectraArrays SpectraArrays-class vm_used,SpectraArrays-method [,SpectraArrays,ANY,ANY,ANY-method [<-,SpectraArrays,ANY,ANY,ANY-method [[,SpectraArrays-method [[<-,SpectraArrays-method
SpectralImagingArrays: Spectral imaging data with arbitrary domainc,SpectralImagingArrays-method cbind,SpectralImagingArrays-method class:SpectralImagingArrays combine,SpectralImagingArrays,ANY-method dim,SpectralImagingArrays-method length,SpectralImagingArrays-method names,SpectralImagingArrays-method names<-,SpectralImagingArrays-method rbind,SpectralImagingArrays-method show,SpectralImagingArrays-method SpectralImagingArrays SpectralImagingArrays-class [,SpectralImagingArrays,ANY,ANY,ANY-method [<-,SpectralImagingArrays,ANY,ANY,ANY-method
SpectralImagingData: Abstract class for spectral imaging data$,SpectralImagingData-method $<-,SpectralImagingData-method class:SpectralImagingData coord,SpectralImagingData-method coord<-,SpectralImagingData-method coordNames,SpectralImagingData-method coordNames<-,SpectralImagingData-method fetch,SpectralImagingData-method flash,SpectralImagingData-method is3D,SpectralImagingData-method nrun,SpectralImagingData-method pData,SpectralImagingData-method pData<-,SpectralImagingData,ANY-method pixelData pixelData,SpectralImagingData-method pixelData<- pixelData<-,SpectralImagingData-method pixelNames pixelNames,SpectralImagingData-method pixelNames<- pixelNames<-,SpectralImagingData-method processingData,SpectralImagingData-method processingData<-,SpectralImagingData-method run,SpectralImagingData-method run<-,SpectralImagingData-method runNames,SpectralImagingData-method runNames<-,SpectralImagingData-method show,SpectralImagingData-method spectra,SpectralImagingData-method spectra<-,SpectralImagingData-method spectraData,SpectralImagingData-method spectraData<-,SpectralImagingData-method SpectralImagingData SpectralImagingData-class spectraNames,SpectralImagingData-method spectraNames<-,SpectralImagingData-method spectraVariables,SpectralImagingData-method [[,SpectralImagingData-method [[<-,SpectralImagingData-method
SpectralImagingExperiment: Spectral imaging data with shared domaincbind,SpectralImagingExperiment-method class:SpectralImagingExperiment colnames,SpectralImagingExperiment-method colnames<-,SpectralImagingExperiment-method combine,SpectralImagingExperiment,ANY-method dim,SpectralImagingExperiment-method fData,SpectralImagingExperiment-method fData<-,SpectralImagingExperiment,ANY-method featureData,SpectralImagingExperiment-method featureData<-,SpectralImagingExperiment,ANY-method featureNames,SpectralImagingExperiment-method featureNames<-,SpectralImagingExperiment-method length,SpectralImagingExperiment-method names,SpectralImagingExperiment-method names<-,SpectralImagingExperiment-method rbind,SpectralImagingExperiment-method rownames,SpectralImagingExperiment-method rownames<-,SpectralImagingExperiment-method show,SpectralImagingExperiment-method SpectralImagingExperiment SpectralImagingExperiment-class [,SpectralImagingExperiment,ANY,ANY,ANY-method [<-,SpectralImagingExperiment,ANY,ANY,ANY-method
Apply functions over spectraspectrapply spectrapply,SpectralImagingArrays-method spectrapply,SpectralImagingExperiment-method
Subset a spectral imaging datasetsubset,SpectralImagingArrays-method subset,SpectralImagingExperiment-method subsetFeatures subsetPixels
Summarize a spectral imaging datasetcolMeans,SpectralImagingExperiment-method colStats,SpectralImagingExperiment-method colSums,SpectralImagingExperiment-method rowMeans,SpectralImagingExperiment-method rowStats,SpectralImagingExperiment-method rowSums,SpectralImagingExperiment-method summarizeFeatures summarizePixels
Write mass spectrometry imaging data fileswriteAnalyze writeAnalyze,MSImagingExperiment-method writeAnalyze,SpectralImagingExperiment-method writeImzML writeImzML,MSImagingExperiment_OR_Arrays-method writeMSIData
XDataFrame: Extended data frame with key columns$<-,XDataFrame-method cbind,XDataFrame-method class:XDataFrame class:XDFrame classNameForDisplay,XDFrame-method coerce,DataFrame,XDataFrame-method dropkeys dropkeys,XDataFrame-method keys keys,XDataFrame-method keys<- keys<-,XDataFrame-method names<-,XDataFrame-method rbind,XDataFrame-method show,XDataFrame-method XDataFrame XDataFrame-class XDFrame XDFrame-class [,XDataFrame,ANY,ANY,ANY-method [<-,XDataFrame,ANY,ANY,ANY-method [[<-,XDataFrame-method