Package: ThreeWay 1.1.3

Paolo Giordani

ThreeWay: Three-Way Component Analysis

Component analysis for three-way data arrays by means of Candecomp/Parafac, Tucker3, Tucker2 and Tucker1 models.

Authors:Maria Antonietta Del Ferraro, Henk A.L. Kiers, Paolo Giordani

ThreeWay_1.1.3.tar.gz
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ThreeWay_1.1.3.tgz(r-4.4-emscripten)ThreeWay_1.1.3.tgz(r-4.3-emscripten)
ThreeWay.pdf |ThreeWay.html✨
ThreeWay/json (API)

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

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.86 score 8 packages 600 downloads 3 mentions 51 exports 0 dependencies

Last updated 9 years agofrom:f62fa565b9. Checks:1 OK, 1 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 08 2025
R-4.5-linuxNOTEFeb 08 2025

Exports:bootstrapCPbootstrapT3Ccccmatcent3CPCPdimensionalityplotCPfitpartitioningCPfuncCPfuncrepCPrunsFitDimSelectorjointplotgenLineConnorm3normvarinrm2ordorthorthmax2pcameanpcasup1pcasup2pcasup3percentile95permnewpermsphirarrayrenormsolCPrenormsolT3splithalfCPsplithalfT3SUMsupermatT1T1runsFitT2T2funcT2funcrepT2runsApproxFitT3T3dimensionalityplotT3fitpartitioningT3funcT3funcrepT3runsApproxFitthreewayanovatrvarimvarimcoco

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Bootstrap percentile intervals for CANDECOMP/PARAFACbootstrapCP
Bootstrap percentile intervals for Tucker3bootstrapT3
Bus dataBus
Columnwise centering of a matrixCc
Columns concatenationccmat
Centering of a matricized arraycent3
Interactive Candecomp/Parafac analysisCP
Plot fit of Candecomp/ParafacCPdimensionalityplot
Fit of each entity per modeCPfitpartitioning
Algorithm for the Candecomp/Parafac (CP) modelCPfunc
Algorithm for the Candecomp/Parafac (CP) modelCPfuncrep
Candecomp/Parafac solutionsCPrunsFit
Convex Hull procedureDimSelector
Jointplotsjointplotgen
Kinship terms dataKinship
Middle point locationLineCon
Meaudret datameaudret
Normalization of a matricized arraynorm3
Normalized varimax rotationnormvari
Columnwise normalization of a matrixnrm2
Orderord
Orthonormalization of a matrixorth
Orthomax Rotationorthmax2
PCA of the mean matrixpcamean
PCASup Analysispcasup1
PCASup Analysispcasup2
PCASup Analysispcasup3
95% percentile intervalspercentile95
Permutation of a matricized arraypermnew
Permutationperms
Phi coefficientphi
Array reconstructionrarray
Scaling of the Candecomp/Parafac solutionrenormsolCP
Renormalization of the Tucker3 (and Tucker2) solutionrenormsolT3
Split-Half AnalysissplithalfCP
Split-Half AnalysissplithalfT3
SummarySUM
Matrix unfoldingsupermat
Interactive Tucker1 analysisT1
Tucker1 solutionsT1runsFit
Interactive Tucker2 analysisT2
Algorithm for the Tucker2 modelT2func
Algorithm for the Tucker2 modelT2funcrep
Approximated Tucker2 solutionsT2runsApproxFit
Interactive Tucker3 analysisT3
Plot fit of Tucker3T3dimensionalityplot
Fit of each entity per modeT3fitpartitioning
Algorithm for the Tucker3 modelT3func
Algorithm for the Tucker3 modelT3funcrep
Approximated Tucker3 solutionsT3runsApproxFit
Three-way ANOVAthreewayanova
Tracetr
TV dataTV
Varimax roationvarim
Varimax Rotation for Tucker3 and Tucker2varimcoco