Package: dimRed 0.2.6

dimRed: A Framework for Dimensionality Reduction

A collection of dimensionality reduction techniques from R packages and a common interface for calling the methods.

Authors:Guido Kraemer [aut, cre]

dimRed_0.2.6.tar.gz
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dimRed.pdf |dimRed.html✨
dimRed/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/gdkrmr/dimred/issues

On CRAN:

dimensionality-reductionframeworkhigh-dimensional-datamanifold-learningquality-controlvisualization

6.59 score 73 stars 152 scripts 1.2k downloads 3 mentions 61 exports 6 dependencies

Last updated 2 years agofrom:2825fe629a. Checks:ERROR: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesFAILOct 11 2024
R-4.5-winWARNINGOct 11 2024
R-4.5-linuxWARNINGOct 11 2024
R-4.4-winWARNINGOct 11 2024
R-4.4-macWARNINGOct 11 2024
R-4.3-winWARNINGOct 11 2024
R-4.3-macWARNINGOct 11 2024

Exports:as.data.frameas.dimRedDataAUC_lnK_R_NXAutoEncodercophenetic_correlationdataSetListDiffusionMapsdimRedDatadimRedMethodListdimRedQualityListdimRedResultdistance_correlationDrLDRRembedFastICAFruchtermanReingoldgetDatagetDimRedDatagetMetagetNDimgetOrgDatagetOtherDatagetParsgetRotationMatrixHLLEinstallSuggestsinverseIsomapKamadaKawaikPCALaplacianEigenmapsLCMCloadDataSetmaximize_correlationMDSmean_R_NXmixColor1RampsmixColor2RampsmixColor3RampsmixColorRampsndimsnMDSNNMFnrowPCAPCA_L1plotplot_R_NXpredictprintQ_globalQ_localQ_NXqualityR_NXreconstruction_errorreconstruction_rmsetotal_correlationtSNEUMAP

Dependencies:CVSTDRRkernlablatticemagrittrMatrix

Readme and manuals

Help Manual

Help pageTopics
The dimRed packagedimRed-package dimRed
Converts to data.frameas.data.frame
Converts to dimRedDataas.dimRedData as.dimRedData,formula-method
Method AUC_lnK_R_NXAUC_lnK_R_NX AUC_lnK_R_NX,dimRedResult-method
AutoEncoderAutoEncoder AutoEncoder-class
Method cophenetic_correlationcophenetic_correlation cophenetic_correlation,dimRedResult-method
Example Data Sets for dimensionality reductiondataSetList dataSets loadDataSet
Diffusion MapsDiffusionMaps DiffusionMaps-class
Class "dimRedData"as.data.frame,dimRedData-method dimRedData dimRedData-class getData,dimRedData-method getMeta,dimRedData-method ndims,dimRedData-method nrow,dimRedData-method [,dimRedData,ANY,ANY,ANY-method
Class "dimRedMethod"dimRedMethod-class
dimRedMethodListdimRedMethodList
Class "dimRedResult"as.data.frame,dimRedResult-method dimRedResult dimRedResult-class getDimRedData,dimRedResult-method getNDim,dimRedResult-method getOrgData,dimRedResult-method getOtherData,dimRedResult-method getPars,dimRedResult-method inverse inverse,dimRedResult-method ndims,dimRedResult-method predict,dimRedResult-method print,dimRedResult-method
Method distance_correlationdistance_correlation distance_correlation,dimRedResult-method
Distributed Recursive Graph LayoutDrL DrL-class
Dimensionality Reduction via RegressionDRR DRR-class
dispatches the different methods for dimensionality reductionembed embed,ANY-method embed,dimRedData-method embed,formula-method
Independent Component AnalysisFastICA FastICA-class
Fruchterman Reingold Graph LayoutFruchtermanReingold FruchtermanReingold-class
Method getDatagetData
Method getDimRedDatagetDimRedData
Method getMetagetMeta
Method getNDimgetNDim
Method getOrgDatagetOrgData
Method getOtherDatagetOtherData
Method getParsgetPars
getRotationMatrixgetRotationMatrix
Hessian Locally Linear EmbeddingHLLE HLLE-class
getSuggestsinstallSuggests
Isomap embeddingIsomap Isomap-class
Graph Embedding via the Kamada Kawai AlgorithmKamadaKawai KamadaKawai-class
Kernel PCAkPCA kPCA-class
Laplacian EigenmapsLaplacianEigenmaps LaplacianEigenmaps-class
Method LCMCLCMC LCMC,dimRedResult-method
makeKNNgraphmakeKNNgraph
Maximize Correlation with the Axesmaximize_correlation maximize_correlation,dimRedResult-method
Metric Dimensional ScalingMDS MDS-class
Method mean_R_NXmean_R_NX mean_R_NX,dimRedResult-method
Mixing color rampsmixColor1Ramps mixColor2Ramps mixColor3Ramps mixColorRamps
Method ndimsndims
Non-Metric Dimensional ScalingnMDS nMDS-class
Non-Negative Matrix FactorizationNNMF NNMF-class
Principal Component Analysis with L1 error.PCA_L1 PCA_L1-class
Principal Component AnalysisPCA PCA-class
Plotting of dimRed* objectsplot plot,dimRedData,ANY-method plot,dimRedResult,ANY-method plot.dimRed plot.dimRedData plot.dimRedResult
plot_R_NXplot_R_NX
Method printprint
Method Q_globalQ_global Q_global,dimRedResult-method
Method Q_localQ_local Q_local,dimRedResult-method
Method Q_NXQ_NX Q_NX,dimRedResult-method
Quality Criteria for dimensionality reduction.dimRedQualityList quality quality,dimRedResult-method quality.dimRedResult
Method R_NXR_NX R_NX,dimRedResult-method
Method reconstruction_errorreconstruction_error reconstruction_error,dimRedResult-method
Method reconstruction_rmsereconstruction_rmse reconstruction_rmse,dimRedResult-method
Method total_correlationtotal_correlation total_correlation,dimRedResult-method
t-Distributed Stochastic Neighborhood EmbeddingtSNE tSNE-class
Umap embeddingUMAP UMAP-class