Package: ExPosition 2.10.0.9999

Derek Beaton

ExPosition: Exploratory Analysis with the Singular Value Decomposition

A variety of descriptive multivariate analyses with the singular value decomposition, such as principal components analysis, correspondence analysis, and multidimensional scaling. See An ExPosition of the Singular Value Decomposition in R (Beaton et al 2014) <doi:10.1016/j.csda.2013.11.006>.

Authors:Derek Beaton, Cherise R. Chin Fatt, Herve Abdi

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ExPosition.pdf |ExPosition.html✨
ExPosition/json (API)

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

Peer review:

Bug tracker:https://github.com/derekbeaton/exposition1/issues

Datasets:

    On CRAN:

    6.12 score 4 stars 7 packages 158 scripts 831 downloads 5 mentions 41 exports 1 dependencies

    Last updated 1 years agofrom:4ee80588fa. Checks:OK: 1 WARNING: 6. Indexed: yes.

    TargetResultDate
    Doc / VignettesOKOct 27 2024
    R-4.5-winWARNINGOct 27 2024
    R-4.5-linuxWARNINGOct 27 2024
    R-4.4-winWARNINGOct 27 2024
    R-4.4-macWARNINGOct 27 2024
    R-4.3-winWARNINGOct 27 2024
    R-4.3-macWARNINGOct 27 2024

    Exports:acknowledgementscalculateConstraintscaNormcaSupplementalElementsPreProcessingchi2DistcomputeMWcoreCAcoreMDScorePCAcreateDefaultDesigndesignCheckepCAepGraphsepMCAepMDSepPCAexpo.scalegenPDQhellingerNormmakeNominalDatamakeRowProfilesmca.eigen.fixmdsSupplementalElementsPreProcessingmdsTransformnominalCheckpausepcaSupplementaryColsPreProcessingpcaSupplementaryRowsPreProcessingpickSVDprint.epCAprint.epGraphsprint.epMCAprint.epMDSprint.epPCAprint.epSVDprint.expoOutputrowNormsrvCoeffsupplementalProjectionsupplementaryColssupplementaryRows

    Dependencies:prettyGraphs