Package: dimensio 0.8.0

Nicolas Frerebeau

dimensio: Multivariate Data Analysis

Simple Principal Components Analysis (PCA) and (Multiple) Correspondence Analysis (CA) based on the Singular Value Decomposition (SVD). This package provides S4 classes and methods to compute, extract, summarize and visualize results of multivariate data analysis. It also includes methods for partial bootstrap validation described in Greenacre (1984, ISBN: 978-0-12-299050-2) and Lebart et al. (2006, ISBN: 978-2-10-049616-7).

Authors:Nicolas Frerebeau [aut, cre], Jean-Baptiste Fourvel [ctb], Brice Lebrun [ctb], Université Bordeaux Montaigne [fnd], CNRS [fnd]

dimensio_0.8.0.tar.gz
dimensio_0.8.0.zip(r-4.5)dimensio_0.8.0.zip(r-4.4)dimensio_0.8.0.zip(r-4.3)
dimensio_0.8.0.tgz(r-4.4-any)dimensio_0.8.0.tgz(r-4.3-any)
dimensio_0.8.0.tar.gz(r-4.5-noble)dimensio_0.8.0.tar.gz(r-4.4-noble)
dimensio_0.8.0.tgz(r-4.4-emscripten)dimensio_0.8.0.tgz(r-4.3-emscripten)
dimensio.pdf |dimensio.html
dimensio/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/tesselle/dimensio/issues

Datasets:

On CRAN:

data-analysismultivariate-analysis

53 exports 10 stars 3.20 score 1 dependencies 7 dependents 365 downloads

Last updated 7 days agofrom:f3edac4f52a9dceec702928befbea787c1c19b7c (via v0.8.0)

Exports:augmentbiplotbootstrapburtcacdtcolnamesget_contributionsget_coordinatesget_correlationsget_cos2get_dataget_distancesget_eigenvaluesget_inertiaget_replicationsget_variancelabelloadingsmcapalette_colorpalette_color_continuouspalette_color_discretepalette_linepalette_shapepalette_size_rangepcaplot_columnsplot_contributionsplot_cos2plot_individualsplot_rowsplot_variablesplot_variancepredictrownamesscale_midpointscale_rangescreeplotsummarytidyviz_columnsviz_confidenceviz_contributionsviz_cos2viz_hullviz_individualsviz_rowsviz_toleranceviz_variableswrap_confidencewrap_hullwrap_tolerance

Dependencies:arkhe

Principal Components Analysis

Rendered frompca.Rmdusingknitr::knitron Jun 07 2024.

Last update: 2024-05-17
Started: 2023-08-17

Readme and manuals

Help Manual

Help pageTopics
Benthosbenthos
Biplotbiplot biplot,CA-method biplot,PCA-method
Partial Bootstrap Analysisboot bootstrap,CA-method bootstrap,PCA-method
Burt Tableburt burt,data.frame-method burt-method
Correspondence Analysisca ca,data.frame-method ca,matrix-method ca-method
Complete Disjunctive Tablecdt cdt,data.frame-method cdt,matrix-method cdt-method
Colourscolours
Countriescountries
Dimnames of an Objectcolnames,MultivariateAnalysis-method dim,MultivariateAnalysis-method dimnames dimnames,MultivariateAnalysis-method rownames,MultivariateAnalysis-method
Get Contributionsget_contributions get_contributions,MultivariateAnalysis-method get_contributions-method get_correlations get_correlations,PCA-method get_correlations-method get_cos2 get_cos2,MultivariateAnalysis-method get_cos2-method
Get Coordinatesget_coordinates get_coordinates,MultivariateAnalysis-method get_coordinates-method get_replications get_replications,BootstrapPCA-method get_replications,MultivariateBootstrap-method get_replications-method
Get Original Dataget_data get_data,MultivariateAnalysis-method get_data-method
Get Distancesget_distances get_distances,MultivariateAnalysis-method get_distances-method
Get Eigenvaluesget_eigenvalues get_eigenvalues,MultivariateAnalysis-method get_eigenvalues-method get_inertia get_inertia,MultivariateAnalysis-method get_inertia-method get_variance get_variance,MultivariateAnalysis-method get_variance-method
Extract Loadingsloadings loadings,PCA-method
Multiple Correspondence Analysismca mca,data.frame-method mca,matrix-method mca-method
Principal Components Analysispca pca,data.frame-method pca,matrix-method pca-method
Predict New Coordinatespredict predict,CA-method predict,MCA-method predict,PCA-method
Scree Plotscreeplot screeplot,MultivariateAnalysis-method screeplot-method
Extract Parts of an Objectsubset [[,CA,ANY,missing-method [[,PCA,ANY,missing-method
Object Summariessummary summary,CA-method summary,PCA-method
Tidy Coordinatesaugment augment,MultivariateAnalysis-method augment-method tidy tidy,MultivariateAnalysis-method tidy-method
Visualize Contributions and cos2viz_contributions viz_contributions,MultivariateAnalysis-method viz_contributions-method viz_cos2 viz_cos2,MultivariateAnalysis-method viz_cos2-method
Visualize Individuals Factor Mapviz_individuals viz_individuals,PCA-method viz_individuals-method viz_rows viz_rows,BootstrapCA-method viz_rows,MultivariateAnalysis-method viz_rows-method
Visualize Variables Factor Mapviz_columns viz_columns,MultivariateAnalysis-method viz_columns,MultivariateBootstrap-method viz_columns-method viz_variables viz_variables,BootstrapPCA-method viz_variables,CA-method viz_variables,PCA-method viz_variables-method
Plot Envelopesviz_confidence viz_confidence,BootstrapCA-method viz_confidence,MultivariateAnalysis-method viz_confidence-method viz_hull viz_hull,BootstrapCA-method viz_hull,MultivariateAnalysis-method viz_hull-method viz_tolerance viz_tolerance,BootstrapCA-method viz_tolerance,MultivariateAnalysis-method viz_tolerance-method viz_wrap
Wrap Observationswrap wrap_confidence wrap_confidence,MultivariateAnalysis-method wrap_confidence-method wrap_hull wrap_hull,MultivariateAnalysis-method wrap_hull-method wrap_tolerance wrap_tolerance,MultivariateAnalysis-method wrap_tolerance-method