Package: rrcov3way 0.5-0

rrcov3way: Robust Methods for Multiway Data Analysis, Applicable also for Compositional Data

Provides methods for multiway data analysis by means of Parafac and Tucker 3 models. Robust versions (Engelen and Hubert (2011) <doi:10.1016/j.aca.2011.04.043>) and versions for compositional data are also provided (Gallo (2015) <doi:10.1080/03610926.2013.798664>, Di Palma et al. (2018) <doi:10.1080/02664763.2017.1381669>). Several optimization methods alternative to ALS are available (Simonacci and Gallo (2019) <doi:10.1016/j.chemolab.2019.103822>, Simonacci and Gallo (2020) <doi:10.1007/s00500-019-04320-9>).

Authors:Valentin Todorov [aut, cre], Violetta Simonacci [aut], Maria Anna Di Palma [aut], Michele Gallo [aut]

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# Install 'rrcov3way' in R:
install.packages('rrcov3way', repos = c('https://valentint.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/valentint/rrcov3way/issues

Datasets:
  • Arno - Chemical composition of water in the main stream of Arno river
  • Kojima.boys - Parental behaviour in Japan
  • Kojima.girls - Parental behaviour in Japan
  • amino - Amino acids fluorescence data.
  • dorrit - Dorrit fluorescence data.
  • elind - OECD Electronics Industries Data
  • girls - Sempe girls' growth curves data
  • ulabor - Undeclared labor by region in Italy
  • va3way - Manufacturing value added by technology intensity for several years
  • waterquality - Water quality data in Wyoming, USA

On CRAN:

18 exports 0.75 score 9 dependencies 36 scripts 307 downloads

Last updated 8 months agofrom:82e653dedb. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 11 2024
R-4.5-winWARNINGSep 11 2024
R-4.5-linuxWARNINGSep 11 2024
R-4.4-winWARNINGSep 11 2024
R-4.4-macWARNINGSep 11 2024
R-4.3-winWARNINGSep 11 2024
R-4.3-macWARNINGSep 11 2024

Exports:congruencecoordinatescp_alscp_atldcp_gencp_int2do3Postprocessdo3Rotatedo3ScalekrpmtraceParafacpermutereflectreordertoArrayTucker3unfold

Dependencies:DEoptimRlatticemvtnormnnlspcaPPpracmarobustbaserrcovThreeWay

Robust Tools for Three-way Component Analysis of Compositional Data: The R package rrcov3way

Rendered fromrrcov3way.Rnwusingutils::Sweaveon Sep 11 2024.

Last update: 2022-10-12
Started: 2022-10-12

Readme and manuals

Help Manual

Help pageTopics
Amino acids fluorescence data.amino
Chemical composition of water in the main stream of Arno riverArno
Coefficient of factor congruence (phi)congruence
Alternating Least Squares (ALS) for Candecomp/Parafac (CP)cp_als
Alternating Trilinear Decomposition (ATLD) for Candecomp/Parafac (CP)cp_atld
Generate PARAFAC data sets, optionally with outlierscp_gen
ATLD-ALS algorithm for Candecomp/Parafac (CP)cp_int2
Postprocessing: renormalization, reflection and reordering; access to some of the components of the model.coordinates coordinates.parafac coordinates.tucker3 do3Postprocess do3Postprocess.default do3Postprocess.parafac do3Postprocess.tucker3 is.orthogonal is.orthonormal reflect reflect.parafac reflect.tucker3 reorder reorder.parafac reorder.tucker3 tall2wide tallArray weights weights.parafac weights.tucker3 wideArray
Varimax Rotation for Tucker3 modelsdo3Rotate do3Rotate.tucker3
Centering and scalingdo3Scale do3Scale.default do3Scale.parafac do3Scale.tucker3
Dorrit fluorescence data.dorrit
OECD Electronics Industries Dataelind
Sempe girls' growth curves datagirls
Parental behaviour in JapanKojima Kojima.boys Kojima.girls
The Khatri-Rao product of two matriceskrp
The trace of a square numeric matrixmtrace
Robust Parafac estimator for compositional dataParafac print.parafac
Permutation of a matricized arraypermute
Plot a parafac or a tucker3 objectplot.parafac plot.tucker3
Matrix to array conversiontoArray
Robust Tucker3 estimator for compositional dataprint.tucker3 Tucker3
Undeclared labor by region in Italyulabor
Matrix unfoldingunfold
Manufacturing value added by technology intensity for several yearsva3way
Water quality data in Wyoming, USAwaterquality