Package: radiant.multivariate 1.6.7

Vincent Nijs

radiant.multivariate: Multivariate Menu for Radiant: Business Analytics using R and Shiny

The Radiant Multivariate menu includes interfaces for perceptual mapping, factor analysis, cluster analysis, and conjoint analysis. The application extends the functionality in 'radiant.data'.

Authors:Vincent Nijs [aut, cre]

radiant.multivariate_1.6.7.tar.gz
radiant.multivariate_1.6.7.zip(r-4.7)radiant.multivariate_1.6.7.zip(r-4.6)radiant.multivariate_1.6.7.zip(r-4.5)
radiant.multivariate_1.6.7.tgz(r-4.6-any)radiant.multivariate_1.6.7.tgz(r-4.5-any)
radiant.multivariate_1.6.7.tar.gz(r-4.7-any)radiant.multivariate_1.6.7.tar.gz(r-4.6-any)
radiant.multivariate_1.6.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
radiant.multivariate/json (API)
NEWS

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

Bug tracker:https://github.com/radiant-rstats/radiant.multivariate/issues

Pkgdown/docs site:https://radiant-rstats.github.io

Datasets:

On CRAN:

Conda:

4.55 score 6 stars 1 packages 39 scripts 921 downloads 1 mentions 13 exports 162 dependencies

Last updated from:08adce285a. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK198
source / vignettesOK258
linux-release-x86_64OK228
macos-release-arm64OK218
macos-oldrel-arm64OK194
windows-develOK161
windows-releaseOK151
windows-oldrelOK151
wasm-releaseOK161

Exports:clean_loadingsconjointfull_factorhcluskclusmdspre_factorpredict_conjoint_byprmapradiant.multivariateradiant.multivariate_viewerradiant.multivariate_windowthe_table

Dependencies:abindadmiscaskpassbackportsbase64encbitbit64bootbroombslibcachemcarcarDatacellrangerclassclicliprclusterclustMixTypecolorspacecombinatcommonmarkcowplotcpp11crayoncrosstalkcurldata.tabledata.treeDerivDiagrammeRdigestdoBydplyrDTe1071evaluatefarverfastmapfontawesomeforecastFormulafracdifffsgenericsggplot2ggrepelgluegowerGPArotationgtablehighrhmshtmltoolshtmlwidgetshttpuvhttrigraphimportisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelitedownlme4lmtestlubridatemagrittrmarkdownMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamnormtmodelrmvtnormNeuralNetToolsnlmenloptrnnetnumDerivopensslotelpatchworkpbkrtestpillarpkgconfigplotlyplyrpngpolycorprettyunitsprogresspromisesproxypsychpurrrquantregR6radiant.basicsradiant.dataradiant.modelrandomizrrangerrappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreadrreadxlreformulasrematchreshape2rlangrmarkdownrpartrstudioapiS7sandwichsassscalesshinyshinyAceshinyFilessourcetoolsSparseMstringistringrsurvivalsystibbletidyrtidyselecttimechangetimeDatetinytextzdburcautf8vctrsviridisLitevisNetworkvroomwithrwritexlxfunxgboostxtableyamlzoo

Readme and manuals

Help Manual

Help pageTopics
Carpet cleanerscarpet
City distancescity
City distances 2city2
Sort and clean loadingsclean_loadings
Perceptions of computer (re)sellerscomputer
Conjoint analysisconjoint
Factor analysis (PCA)full_factor
Hierarchical cluster analysishclus
K-clusteringkclus
(Dis)similarity based brand maps (MDS)mds
Conjoint data for Movie theatersmovie
Conjoint data for MP3 playersmp3
Plot method for the conjoint functionplot.conjoint
Plot method for the full_factor functionplot.full_factor
Plot method for the hclus functionplot.hclus
Plot method for kclusplot.kclus
Plot method for the mds functionplot.mds
Plot method for the pre_factor functionplot.pre_factor
Plot method for the prmap functionplot.prmap
Evaluate if data are appropriate for PCA / Factor analysispre_factor
Predict method for the conjoint function when a by variables is usedpredict_conjoint_by
Predict method for the conjoint functionpredict.conjoint
Print method for predict.conjointprint.conjoint.predict
Attribute based brand mapsprmap
radiant.multivariateradiant.multivariate
Launch radiant.multivariate in the Rstudio viewerradiant.multivariate_viewer
Launch radiant.multivariate in an Rstudio windowradiant.multivariate_window
Perceptions of retailersretailers
Shopping attitudesshopping
Store method for the Multivariate > Conjoint tabstore.conjoint
Store predicted values generated in predict.conjointstore.conjoint.predict
Store factor scores to active datasetstore.full_factor
Add a cluster membership variable to the active datasetstore.hclus
Add a cluster membership variable to the active datasetstore.kclus
Summary method for the conjoint functionsummary.conjoint
Summary method for the full_factor functionsummary.full_factor
Summary method for the hclus functionsummary.hclus
Summary method for kclussummary.kclus
Summary method for the mds functionsummary.mds
Summary method for the pre_factor functionsummary.pre_factor
Summary method for the prmap functionsummary.prmap
Function to calculate the PW and IW table for conjointthe_table
Toothpaste attitudestoothpaste
Toothpaste brandstpbrands